Publications scientifiques

Recherche publiée par la communauté de l'Initiative sur le changement climatique

Accédez à la vaste bibliographie relative au programme de l'initiative sur le changement climatique.

2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012

2023

Acquistapace, A. N. Meroni, G. Labbri, D. Lange, F. Späth, S. Abbas and H. Bellenger (2023). Fast atmospheric response to a cold oceanic mesoscale patch in the north-western tropical Atlantic doi:10.1029/2022JD036799

Agustí-Panareda et al., 2023: Agustí-Panareda, A., Barré, J., Massart, S., Inness, A., Aben, I., Ades, M., Baier, B. C., Balsamo, G., Borsdorff, T., Bousserez, N., Boussetta, S., Buchwitz, M., Cantarello, L., Crevoisier, C., Engelen, R., Eskes, H., Flemming, J., Garrigues, S., Hasekamp, O., Huijnen, V., Jones, L., Kipling, Z., Langerock, B., McNorton, J., Meilhac, N., Noël, S., Parrington, M., Peuch, V.-H., Ramonet, M., Razinger, M., Reuter, M., Ribas, R., Suttie, M., Sweeney, C., Tarniewicz, J., and Wu, L.: Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020, Atmos. Chem. Phys., 23, 3829–3859, https://doi.org/10.5194/acp-23-3829-2023.

Araza, A., de Bruin, S., Hein, L. and Herold, M. 2023 Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting. Sci Rep 13, 12704. https://doi.org/10.1038/s41598-023-38935-8

Ayari, EmnaZohra Lili-Chabaane, Zeineb Kassouk, Lionel Jarlan, Nemesio Rodriguez-Fernandez, Nicolas Baghdadi and Mehrez Zribi Impact of satellite-derived vegetation descriptors on surface soil moisture retrieval over wheat fields in the Kairouan Plain. Advances in Space Science, 2023, European Journal of Remote Sensing, doi: 10.1080/22797254.2023.2260555

Berg Danjal, Valentina Barletta, Javed Hassan, Eigil Lippert, William Colgan, Michael Bevis, Rebekka Steffen (Lantmäteriet), Shfaqat Khan (DTU Space). Vertical land motion due to present-day ice loss from Greenland's and Canada's peripheral glaciers, : AGU Geophysical Research Letters.

Bessenbacher, V., Schumacher, D. L., Hirschi, M., Seneviratne, S. I., and Gudmundsson, L. (2023). Gap-filled multivariate observations of global land–climate interactions. Journal of Geophysical Research: Atmospheres, 128, e2023JD039099. https://doi.org/10.1029/2023JD039099.

Barletta Valentina R, Andrea Bordoni, Shfaqat Abbas Khan. Journal: AGU GRL. Heat stored in the Earth system 1960–2020: where does the energy go?, von Schuckmann et al., 2023, published on Earth System Science Data, 15, 1675–1709, https://doi.org/10.5194/essd-15-1675-2023 Bock, L. and Lauer, A.: Cloud properties and their projected changes in CMIP models with low/medium/high climate sensitivity, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1086, 2023

Biancamaria,Sylvain, Alice Andral, Silvia Barbetta, Malik Boussaroque, Luca Brocca, Beatriz Calmettes, Stefania Camici, Paolo Filippucci, Laetitia Gal, Gilles Larnicol, Julien Lefebve, Simon Munier, Fabrice Papa, Adrien Paris, Vanessa Pedinotti,, Nicolas Taburet, Angelica Tarpanelli, Elena Zakharova, Clément Albergel and Jérôme Benveniste. A New ESA Precursor Project on River Discharge. GEWEX newsletter, Vol 33 n°2. https://www.gewex.org/gewex-content/files_mf/1685746439Q22023.pdf

Bonino et al. (2023) Southern Europe and western Asian marine heatwaves (SEWA-MHWs): a dataset based on macroevents. https://doi.org/10.5194/essd-15-1269-2023

Boutin, J., Yueh, S., Bindlish, R. et al. Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09798-5

Cretaux, JF., Calmant, S., Papa, F. et al. Inland Surface Waters Quantity Monitored from Remote Sensing. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09803-x

Derksen, C. and L. Mudryk. 2023. Assessment of Arctic seasonal snow cover rates of change. The Cryosphere, 17, 1431–1443, https://doi.org/10.5194/tc-17-1431-2023.

Döhne et al., 2023. The sensitivity kernel perspective on GRACE mass change estimates. Journal of Geodesy. DOI:10.1007/s00190-022-01697-8

Lambiel, Christophe Tazio Strozzi, Nicolas Paillex, Sebastián Vivero & Nina Jones (2023) Inventory and kinematics of active and transitional rock glaciers in the Southern Alps of New Zealand from Sentinel-1 InSAR, Arctic, Antarctic, and Alpine Research, 55:1, 2183999, DOI: 10.1080/15230430.2023.2183999.

Lin et al. GHG-CCI methane retrievals have been used in ., “Recent methane surges reveal heightened emissions from tropical inundated areas”, preprint available from EarthArXiv (https://eartharxiv.org/repository/view/5895/).

Hunka, N., Santoro, M., Armston. J. et al. On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake. Environmental Research Letters (2023) https://doi.org/10.1088/1748-9326/ad0b60
Kääb A, Bazilova V, Leclercq PW, Mannerfelt ES, Strozzi T (2023b): Global clustering of recent glacier surges from radar backscatter data, 2017–2022. J. Glaciol., doi.org/10.1017/jog.2023.35

Kääb, A. and Girod, L. (2023): Brief communication: Rapid ∼ 335 × 106 m3 bed erosion after detachment of the Sedongpu Glacier (Tibet), The Cryosphere, 17, 2533–2541.

Kaps, A., A. Lauer, G. Camps-Valls, P. Gentine, L. Gómez-Chova and V. Eyring, "Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 4100515, doi: 10.1109/TGRS.2023.3237008.

Kaps, A., Lauer, A., Kazeroni, R., Stengel, M., and Eyring, V.: Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-424, in review, 2023.

Langer, M., von Deimling, T.S., Westermann, S., Rolph, R., Rutte, R., Antonova, S., Rachold, V., Schultz, M., Oehme A., Grosse G. Thawing permafrost poses environmental threat to thousands of sites with legacy industrial contamination. Nat Commun 14, 1721 (2023). https://doi.org/10.1038/s41467-023-37276-4.

Lisovski, S., Runge, A., Shevtsova, I., Landgraf, N., Morgenstern, A., Okoth, R. R., Fuchs, M., Lashchinskiy, N., Stadie, C., Beamish, A., Grosse, G., Herzschuh, U., and Heim B., (pre-print) A habitat map of the Lea Delta in Arctic Siberia at 10-m resolution from merging field and remote sensing datasets. https://doi.org/10.5194/essd-2023-36

Meyssignac et al. How accurate is accurate enough for measuring sea level rise and variability” Nature Climate Change.

Montero et al., "SSS Estimates From AMSR-E Radiometer in the Bay of Bengal: Algorithm Principles and Limits," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-21, 2023, Art no. 4206921, doi: 10.1109/TGRS.2023.3305203

Otosaka et al., 2023, Mass balance of the Greenland and Antarctic ice sheets from 1992 to 2020. Earth System Science Data, 15, 1597–1616., DOI:10.5194/essd-2022-261

Schepaschenko, Krzysztof Stereńczak, Lars Hein (2023). Past decade above-ground biomass change comparisons from four multi-temporal global maps. Sofieva, V. F., Szelag, M., Tamminen, J., Arosio, C., Rozanov, A., Weber, M., Degenstein, D., Bourassa, A., Zawada, D., Kiefer, M., Laeng, A., Walker, K. A., Sheese, P., Hubert, D., van Roozendael, M., Retscher, C., Damadeo, R., and Lumpe, J. D.: Updated merged SAGE-CCI-OMPS+ dataset for the evaluation of ozone trends in the stratosphere, Atmos. Meas. Tech., 16, 1881–1899, https://doi.org/10.5194/amt-16-1881-2023, 2023.

Vinjamuri, K. S., Vountas, M., Lelli, L., Stengel, M., Shupe, M. D., Ebell, K., and Burrows, J. P.: Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic, Atmos. Meas. Tech., 16, 2903–2918, https://doi.org/10.5194/amt-16-2903-2023, 2023.

Winkelmann, R., Steinert, N.J., Armstrong McKay, D.I., Brovkin, V., Kääb, A., Notz, D. et al. (2023): Tipping points in the cryosphere. In: Lenton, T.M. et al. (eds), The Global Tipping Points Report 2023. University of Exeter, Exeter, UK, pp. 56-77. Online: https://global-tipping-points.org/

Xu F., Zhang G., Woolway I., Yang K., Wada Y., Wang J., Cretaux J-F. Continuous lake expansion threatens living environment of Tibetan Plateau. Nature Geosciences Yang Hui , Philippe Ciais, Frédéric Frappart, Xiaojun Li, Martin Brandt, Rasmus Fensholt, Lei Fan, Sassan Saatchi, Simon Besnard, Zhu Deng, Simon Bowring & Jean-Pierre Wigneron 2023 Global increase in biomass carbon stock dominated by growth of northern young forests over past decade. Nature geoscience. https://doi.org/10.1038/s41561-023-01274-4

Yao F., Ben Livneh B., Rajagopalan B., Wang J., Crétaux J-F., Wada Y., Berge-Nguyen M., 2023, Satellites reveal widespread decline in global lake water storage Science, 380, 743-749, 2023. https://doi.org/10.1126/science.abo2812

Zohner, Mo, L., C.M., Reich, P.B. et al. Integrated global assessment of the natural forest carbon potential. Nature (2023). https://doi.org/10.1038/s41586-023-06723-z Paul, F., Baumann, S., Anderson, B, and Rastner, P. (2023): Deriving a year 2000 glacier inventory for New Zealand from the existing 2016 inventory. Ann. Glaciol., 90: https://doi.org/10.1017/aog.2023.20

Zschenderlein, L., K. Luojus, M. Takala, P. Venäläinen, and J. Pulliainen. 2023. Evaluation of passive microwave dry snow detection algorithms and application to SWE retrieval during seasonal snow accumulation. Remote Sensing of Environment, vol. 288, p. 113476, https://doi.org/10.1016/j.rse.2023.113476.

2022

Acosta Navarro, J.C., García-Serrano, J., Lapin, V., Ortega, P. (2022) Added value of assimilating springtime Arctic sea ice concentration in summer-fall climate predictions. Environmental Research Letters, 17 (6), https://doi.org/10.1088/1748-9326/ac6c9b

Afonso Ferreira, Joaquim Dias, Vanda Brotas, Ana C. Brito. A perfect storm: An anomalous offshore phytoplankton bloom event in the NE Atlantic (March 2009), Science of The Total Environment. Volume 806, Part 3, 2022, https://doi.org/10.1016/j.scitotenv.2021.151253

Agustí-Panareda, A., Barré, J., Massart, S., Inness, A., Aben, I., Ades, M., Baier, B. C., Balsamo, G., Borsdorff, T., Bousserez, N., Boussetta, S., Buchwitz, M., Cantarello, L., Crevoisier, C., Engelen, R., Eskes, H., Flemming, J., Garrigues, S., Hasekamp, O., Huijnen, V., Jones, L., Kipling, Z., Langerock, B., McNorton, J., Meilhac, N., Noël, S., Parrington, M., Peuch, V.-H., Ramonet, M., Razinger, M., Reuter, M., Ribas, R., Suttie, M., Sweeney, C., Tarniewicz, J., and Wu, L.: Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020, Atmos. Chem. Phys., 23, 3829–3859, https://doi.org/10.5194/acp-23-3829-2023.

Ayari Emna, Lili-Chabaane, Zeineb Kassouk, Lionel Jarlan, Nemesio Rodriguez-Fernandez,Nicolas Baghdadi and Mehrez Zribi Impact of satellite-derived vegetation descriptors on surface soil moisture retrieval over wheat fields in the Kairouan Plain. Advances in Space Science, 2023, European Journal of Remote Sensing, doi: 10.1080/22797254.2023.2260555

Bartsch, A., Bergstedt, H., Pointner, G., Muri, X., Rautiainen, K., Leppänen, L., Joly, K., Sokolov, A., Orekhov, P., Ehrich, D., and Soininen, E. M.: Towards long-term records of rain-on-snow events across the Arctic from satellite data, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-899, 2022.

Bastos, A., Ciais, P., Sitch, S. et al. On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2. Carbon Balance Manage 17, 15 (2022). https://doi.org/10.1186/s13021-022-00214-w

Bertone, A., Barboux, C., Bodin, X., Bolch, T., Brardinoni, F., Caduff, R., Christiansen, H. H., Darrow, M. M., Delaloye, R., Etzelmüller, B., Humlum, O., Lambiel, C., Lilleøren, K. S., Mair, V., Pellegrinon, G., Rouyet, L., Ruiz, L., and Strozzi, T.: Incorporating InSAR kinematics into rock glacier inventories: insights from 11 regions worldwide, The Cryosphere, 16, 2769–2792, https://doi.org/10.5194/tc-16-2769-2022, 2022.

Bock, L. and Lauer, A.: Cloud properties and their projected changes in CMIP models with low/medium/high climate sensitivity, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1086, 2023

Bonino et al. (2023) Southern Europe and western Asian marine heatwaves (SEWA-MHWs): a dataset based on macroevents. https://doi.org/10.5194/essd-15-1269-2023 Boutin, J., Yueh, S., Bindlish, R. et al. Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09798-5

Boutin, J., Yueh, S., Bindlish, R. et al. Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09798-5 Brotas V, Tarran GA, Veloso V, Brewin RJW, Woodward EMS, Airs R, Beltran C, Ferreira A and Groom SB (2022) Complementary Approaches to Assess Phytoplankton Groups and Size Classes on a Long Transect in the Atlantic Ocean. Frontiers in Marine Science. 8:682621. https://doi.org/10.3389/fmars.2021.682621

Brotas V, Tarran GA, Veloso V, Brewin RJW, Woodward EMS, Airs R, Beltran C, Ferreira A and Groom SB (2022) Complementary Approaches to Assess Phytoplankton Groups and Size Classes on a Long Transect in the Atlantic Ocean. Frontiers in Marine Science. 8:682621. https://doi.org/10.3389/fmars.2021.68262

Caronia Rossana , Monica Pinardi, Gary Free, Daniela Stroppiana, Lorenzo Parigi, Giulio Tellina, Mariano Bresciani, Claudia Giardino. Investigation of wildfire impacts on lake water quality using satellite-derived data: a global overview. Heliyon journal

Caznave A et al (2022) New network of virtual altimetry stations for measuring sea level along the world coastlines. https://doi.org/10.17882/74354

Cazenave, A., Gouzenes, Y., Birol, F. et al. Sea level along the world’s coastlines can be measured by a network of virtual altimetry stations. Commun Earth Environ 3, 117 (2022). https://doi.org/10.1038/s43247-022-00448-z

Chuvieco, E., Roteta, E., Sali, M., Stroppiana, D., Boettcher, M., Kirches, G., Storm, T., Khairoun, A., Pettinari, M.L., Franquesa, M., Albergel, C. (2022) Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images. Science of the Total Environment 845, 157139, https://doi.org/10.1016/j.scitotenv.2022.157139

Coldewey-Egbers, M., Loyola, D. G., Lerot, C., and Van Roozendael, M.: Global, regional and seasonal analysis of total ozone trends derived from the 1995–2020 GTO-ECV climate data record, Atmos. Chem. Phys., 22, 6861–6878, https://doi.org/10.5194/acp-22-6861-2022, 2022

Collard, F., Marie, L., Nouguier, F., Kleinherenbrink, M., Ehlers, F., Ardhuin, F., (in press, J. Geophys. Res. Oceans). Wind-wave attenuation under sea ice in the Arctic: a review of remote sensing capabilities. https://doi.org/10.1002/essoar.10510961.1

Cretaux, JF., Calmant, S., Papa, F. et al. Inland Surface Waters Quantity Monitored from Remote Sensing. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09803-x Da, N. D., Foltz, G. R., & Balaguru, K. (2021). Observed global increases in tropical cyclone-induced ocean cooling and primary production. Geophysical Research Letters, 48, e2021GL092574. https://doi.org/10.1029/2021GL092574

Dalagnol, R., Wagner, F., H., Galvão, L., S. et al. Mapping tropical forest degradation with deep learning and Planet NICFI data. Remote Sensing of Environment. 2023. https://doi.org/10.1016/j.rse.2023.113798 DEng, Z et al (2022) Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Earth Syst. Sci. Data, 14, 1639–1675, 2022 https://doi.org/10.5194/essd-14-1639-2022

Derksen, C. and L. Mudryk. 2023. Assessment of Arctic seasonal snow cover rates of change. The Cryosphere, 17, 1431–1443, https://doi.org/10.5194/tc-17-1431-2023.

Dodet, G., Abdalla, S., Alday, M., Accensi, M., Bidlot, J., Ardhuin, F., 2022. Error characterization of significant wave heights in multi-decadal satellite altimeter product, model hindcast and in situ measurements, using triple collocation technique. Journal of Atmospheric and Oceanic Technology. https://doi.org/10.1175/JTECH-D-21-0179.1

Fan, L., Wigneron, JP., Ciais, P. et al. Siberian carbon sink reduced by forest disturbances. Nat. Geosci. (2022). https://doi.org/10.1038/s41561-022-01087-x

Fawcett, D., Sitch, S., Ciais, et al. (2022). Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains. Global Change Biology, 00, 1–13. https://doi.org/10.1111/gcb.16513

Ferreira, A Joaquim Dias, Vanda Brotas, Ana C. Brito. A perfect storm: An anomalous offshore phytoplankton bloom event in the NE Atlantic (March 2009), Science of The Total Environment. Volume 806, Part 3, 2022, https://doi.org/10.1016/j.scitotenv.2021.151253

Franquesa, M., Rodriguez-Montellano, A.M., Chuvieco, E., Aguado, I. (2022) Reference Data Accuracy Impacts Burned Area Product Validation: The Role of the Expert Analyst. Remote Sensing 14(17), 4354; https://doi.org/10.3390/rs14174354

Franquesa, M., Stehman S.V., Chuvieco, E. (2022) Assessment and characterization of sources of error impacting the accuracy of global burned area products. Remote Sensing of Environment 280, 113214, https://doi.org/10.1016/j.rse.2022.113214

Free Gary, Mariano Bresciani, Monica Pinardi, Stefan Simis, Xiaohan Liu, Clément Albergel, Claudia Giardino, Investigating lake chlorophyll-a responses to the 2019 European double heatwave using satellite remote sensing, Ecological Indicators, Volume 142, 2022, 109217, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2022.109217

Gbekton, P.G, J-F. Crétaux, M. Tchillibou, A. Carret, M. Delhoume, M. Bergé-Nguyen, F. Sylvestre. Lake Chad vegetation cover and surface water variations in response to rainfall fluctuations under recent climate conditions (2000-2020). State of the environment. Volume 857, Part 2,2023,159302,ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2022.159302

Gbetkom P-G , J-F Crétaux, S Biancamaria, A Blazquez, M Gosset, A Paris, M Tchilibou, L Gal, B Kitambo, R.A Jucá Oliveira, F Girard, E Berthier. Lake Tanganyika basin water storage variations analysis over 2003-2021 for water balance monitoring and flood study. Remote Sensing of Environment

Hachmeister, J., Schneising, O., Buchwitz, M., Lorente, A., Borsdorff, T., Burrows, J. P., Notholt, J., and Buschmann, M.: On the influence of underlying elevation data on Sentinel-5 Precursor satellite methane retrievals over Greenland, Atmos. Meas. Tech., 15, 4063–4074, https://doi.org/10.5194/amt-15-4063-2022, 2022.

Lilleøren, K. S., Etzelmüller, B., Rouyet, L., Eiken, T., Slinde, G., and Hilbich, C.: Transitional rock glaciers at sea level in northern Norway, Earth Surf. Dynam., 10, 975–996, https://doi.org/10.5194/esurf-10-975-2022, 2022.

Kääb, A. and Girod, L. (2023): Brief communication: Rapid ∼ 335 × 106 m3 bed erosion after detachment of the Sedongpu Glacier (Tibet), The Cryosphere, 17, 2533–2541.

Kääb, A. and Girod, L. (2023a): Brief communication: Rapid ∼ 335 × 106 m3 bed erosion after detachment of the Sedongpu Glacier (Tibet), The Cryosphere, 17, 2533–2541. Kalakoski, N., Sofieva, V. F.,

Kalakoski, N., Sofieva, V. F., Preusker, R., Henocq, C., Denisselle, M., Dransfeld, S., and Scifoni, S.: Validation of Copernicus Sentinel-3/OLCI Level 2 Land Integrated Water Vapour product, Atmos. Meas. Tech., 15, 5129–5140, https://doi.org/10.5194/amt-15-5129-2022, 2022.

Kinne Stefan, Paul Ginoux, Peter North, Kevin Pearson, Rob Levy, Ralph Kahn, Thomas Popp, Aerosol radiative effects with MACv3 and satellites retrievals, submitted to Atmospheric Physics and Chemistry, 2022, in review (second revision requested and ongoing) – the original discussion paper was published as Kinne, S., North, P., Pearson, K., and Popp, T.: Aerosol radiative effects with dual view AOD retrievals, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-954, in review, 2022

Kinne, S., North, P., Pearson, K., and Popp, T.: Aerosol radiative effects with dual view AOD retrievals, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-954, in review, 2022 Klose, M., Jorba, O., Gonçalves Ageitos, M., Escribano, J., Dawson, M. L., Obiso, V., Di Tomaso, E., Basart, S., Montané Pinto, G., Macchia, F., Ginoux, P., Guerschman, J., Prigent, C., Huang, Y., Kok, J. F., Miller, R. L., and Pérez García-Pando, C.: Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0, Geosci. Model Dev., 14, 6403–6444, https://doi.org/10.5194/gmd-14-6403-2021, 2021

Kochtitzky, W., Copland, L., Van Wychen, W., Hugonnet., R., Hock, R., Dowdeswell, J., Benham, T., Strozzi, T., Glazovsky, A., Lavrentiev, I., Rounce, D., Millan, R., Cook, A., Dalton, A., Jiskoot, H., Cooley, J., Jania, J., and Navarro, F. (2022): The unquantified mass loss of Northern Hemisphere marine- terminating glaciers from 2000–2020. Nature Communications, 13, 5835, doi.org/10.1038/s41467-022-33231-x

Jeffery, P. S., Walker, K. A., Sioris, C. E., Boone, C. D., Degenstein, D., Manney, G. L., McElroy, C. T., Millán, L., Plummer, D. A., Ryan, N. J., Sheese, P. E., and Zou, J.: Water vapour and ozone in the upper troposphere–lower stratosphere: global climatologies from three Canadian limb-viewing instruments, Atmos. Chem. Phys., 22, 14709–14734, https://doi.org/10.5194/acp-22-14709-2022, 2022.

Jingjing Liang et al. (2022). Co-limitation towards lower latitudes shapes global forest diversity gradients, Nature Ecology and Evolution.

Hansen, N, Louise Sandberg Sorensen, Giorgio Spada, et al. Revisiting ice sheet Mass balance: insights into changing dynamics in Greenland and Antarctica from ICESat-2The Cryosphere Discussions, 2023.

Hegglin MI, Bastos A, Bovensmann H, Buchwitz M, Fawcett D, Ghent D, Kulk G, Sathyendranath S, Shepherd TG, Quegan S, Röthlisberger R, Briggs S, Buontempo C, Cazenave A, Chuvieco E, Ciais P, Crisp D, Engelen R, Fadnavis S, Herold M, Horwath M, Jonsson O, Kpaka G, Merchant CJ, Mielke C, Nagler T, Paul F, Popp T, Quaife T, Rayner NA, Robert C, Schröder M, Sitch S, Venturini S, van der Schalie R, van der Vliet M, Wigneron J-P and Woolway RI (2022), Space-based Earth observation in support of the UNFCCC Paris Agreement. Front. Environ. Sci. 10:941490. doi: 10.3389/fenvs.2022.941490.

Lavergne, T., Kern, S., Aaboe, S., Derby, L., Dybkjaer, G., Garric, G., Heil, P., Hendricks, S., Holfort, J., Howell, S., Key, J., Lieser, J. L., Maksym, T., Maslowski, W., Meier, W., Munoz-Sabater, J., Nicolas, J., Özsoy, B., Rabe, B., Rack, W., Raphael, M., de Rosnay, P., Smolyanitsky, V., Tietsche, S., Ukita, J., Vichi, M., Wagner, P., Willmes, S., & Zhao, X. A (2022) A New Structure for the Sea Ice Essential Climate Variables of the Global Climate Observing System, Bulletin of the American Meteorological Society https://journals.ametsoc.org/view/journals/bams/aop/BAMS-D21-0227.1/BAMS-D-21-0227.1.xml
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Horwath, M., Gutknecht, B. D., Cazenave, A., Palanisamy, H. K., Marti, F., Marzeion, B., Paul, F., Le Bris, R., Hogg, A. E., Otosaka, I., Shepherd, A., Döll, P., Cáceres, D., Müller Schmied, H., Johannessen, J. A., Nilsen, J. A., Ø., Raj, R. P., Forsberg, R., Sandberg Sørensen, L., Barletta, V. R., Simonsen, S. B., Knudsen, P., Andersen, O. B., Ranndal, H., Rose, S. K., Merchant, C. J., Macintosh, C. R., von Schuckmann, K., Novotny, K., Groh, A., Restano, M., Benveniste, J.: Global sea-level budget and ocean-mass budget, with focus on advanced data products and uncertainty characterisation. Earth Syst. Sci. Data, accepted, 2021. https://doi.org/10.5194/essd-14-411-2022

Hui Yang, Philippe Ciais, Yilong Wang, Yuanyuan Huang, Jean-Pierre Wigneron, Ana Bastos, Jérôme Chave, Jinfeng Chang, Chris Doughty, Lei Fan, Daniel Goll, Emilie Joetzjer, Wei Li, Richard Lucas, Shaun Quegan, Thuy Le Toan, Kailiang Yu Carbon allocation and turnover time across the tropics. Global Ecology and Biogeography, in press

Islam, S. M. N., Jackson, P. L., Sweeney, C., McKain, K., Frankenberg, C., Aben, I., Parker, R. J., Boesch, H., Wunch, D.: Methane growth rate estimation and its causes in western Canada using satellite observations, Journal of Geophysical Research: Atmospheres, 126, e2020JD033948, pp. 20, https://doi.org/10.1029/2020JD033948, 2021.

Jones, B.M. A.M. Irrgang, L.M. Farquharson, H. Lantuit, D. Whalen, S. Ogorodov,Kääb, A. T. Strozzi, T. Bolch, R. Caduff, H. Trefall, M. Stoffel and A. Kokarev, Inventory and changes of rock glacier creep speeds in Ile Alatau andKungöy Ala-Too, northern Tien Shan, since the 1950s, The Cryosphere, 15, 927–949, 2021, doi:10.5194/tc-15-927-2021.

Kay, H.; Santoro, M.; Cartus, O.; Bunting, P.; Lucas, R. Exploring the Relationship between Forest Canopy Height and Canopy Density from Spaceborne LiDAR Observations. Remote Sens. 2021, 13, 4961. https://doi.org/10.3390/rs13244961

Keerthi, M.G., Lévy, M. & Aumont, O. Intermittency in phytoplankton bloom triggered by modulations in vertical stability. Sci Rep 11, 1285 (2021). https://doi.org/10.1038/s41598-020-80331-z

Kern, S.: Spatial Correlation Length Scales of Sea-Ice Concentration Errors for HighConcentration Pack Ice, Remote Sensing, 13(21), 4421, doi:10.3390/rs13214421, 2021

Kern, S., Lavergne, T., Pedersen, L. T., Tonboe, R. T., Bell, L., Meyer, M., and Zeigermann, L. M.: Satellite Passive Microwave Sea-Ice Concentration Data Set Inter-comparison using Landsat data, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2021-258, accepted, 2021.

Klose, M., Jorba, O., Gonçalves Ageitos, M., Escribano, J., Dawson, M. L., Obiso, V., Di Tomaso, E., Basart, S., Montané Pinto, G., Macchia, F., Ginoux, P., Guerschman, J., Prigent, C., Huang, Y., Kok, J. F., Miller, R. L., and Pérez García-Pando, C.: Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0, Geosci. Model Dev., 14, 6403–6444, https://doi.org/10.5194/gmd-14-6403-2021, 2021

Kusk Anders, Jonas Kvist Andersen, John Peter Merryman Boncori: Burst Overlap Coregistration for Sentinel-1 TOPS DInSAR Ice Velocity Measurements, IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2021.3062905, 2021.

Lalande, M., Ménégoz, M., Krinner, G., Naegeli, K., and Wunderle, S.: Climate change in the High Mountain Asia in CMIP6, Earth System Dynamics, 12, 1061–1098, https://doi.org/10.5194/esd-12-1061-2021 , 2021

Lizundia-Loiola, J., Franquesa, M., Boettcher, M., Kirches, G., Pettinari, M.L., Chuvieco, E. Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data. Remote Sensing 13 (21), 4295, 2021. https://doi.org/10.3390/rs13214295Lizundia-Loiola, J., Franquesa, M., Boettcher, M., Kirches, G., Pettinari, M.L., Chuvieco, E. Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data. Remote Sensing 13 (21), 4295, 2021. https://doi.org/10.3390/rs13214295

Mettig, N., Weber, M., Rozanov, A., Arosio, C., Burrows, J. P., Veefkind, P., Thompson, A. M., Querel, R., Leblanc, T., Godin-Beekmann, S., Kivi, R., and Tully, M. B.: Ozone profile retrieval from nadir TROPOMI measurements in the UV range, Atmos. Meas. Tech., 14, 6057–6082, https://doi.org/10.5194/amt-14-6057-2021, 2021

Moreno, M.V., Laurent, P., Mouillot, F. (2021) Global intercomparison of functional pyrodiversity from two satellite sensors. International Journal of Remote Sensing 42 (24), 9523-9541. https://doi.org/10.1080/01431161.2021.1999529

Mudryk, L. R., A. Elias Chereque, C. Derksen, K. Luojus, B. Decharme: Terrestrial Snow Cover. Arctic Report Card 2021, R. L. Thoman, J. Richter-Menge, and M. L. Druckenmiller, Eds., Available online Dec 14, 2021.

Nagler, T. et al: Synergistic use of Sentinel-1 InSAR and offset tracking for improved ice sheet wide velocity mapping, ESA Fringe 2021

Nagler, T. et al.:Continuous Monitoring of Ice Motion and Discharge of Antarctic and Greenland Ice Sheets and Outlet Glaciers by Sentinel-1 A & B, IEEE IGARSS 2021, Brussels, Belgium, July 11 – 16, 2021.

Nicholls, R.J., Lincke, D., Hinkel, J. Brown, S., Vafeidis, A. T., Meyssignac, B., Hanson, S. E., Merkens, J-L., Fang, J., A global analysis of subsidence, relative sea-level change and coastal flood exposure. Nat. Clim. Chang. (2021). https://doi.org/10.1038/s41558-021-00993-z

Nitze, I., Cooley, S. W., Duguay, C. R., Jones, B. M., and Grosse, G.: The catastrophic therkarst lake drainage events of 2018 in northwestern Alaska: fast-forward into the future, The Cryosphere, 14, 4279 https://doi.org/10.5194/tc

Nitze, I, Heidler, K., Barth, S., and Grosse, G. (2021): Developing and testing a deep learning approach for mapping retrogressive thaw slumps. Remote Sensing, 13(21), 4294, https://doi.org/ 10.3390/rs13214294.

Olivier, L., Reverdin, G., Hasson, A. & Boutin, J. (2020). Tropical instability waves in the atlantic ocean: Investigating the relative role of sea surface salinity and temperature from 2010 to 2018. Journal of Geophysical Research: Oceans, 125, e2020JC016641.

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Orfanoz-Cheuquelaf, A., Rozanov, A., Weber, M., Arosio, C., LadstätterWeißenmayer, A., and Burrows, J. P.: Total ozone column from Ozone Mapping and Profiler Suite Nadir Mapper (OMPS-NM) measurements using the broadband weighting function fitting approach (WFFA), Atmos. Meas. Tech., 14, 5771–5789, https://doi.org/10.5194/amt-14-5771-2021, 2021

Otón, G., Pereira, J.M.C., Silva, J.M.N., Chuvieco, E. (2021) Analysis of trends in the FireCCI global long term burned area product (1982-2018). Fire 4(4), 74. https://doi.org/10.3390/fire4040074

Paul, F., Piermattei, L., Treichler, D., Gilbert, L., Girod, L., Kääb, A., Libert, L., Nagler, T. Strozzi, T. and Wuite, J. (subm.):Three different glacier surges at a spot: What satellites observe and what not. The Cryosphere Discuss.

Peng, J. et al. (2021). A roadmap for high-resolution satellite soil moisture applications - confronting product characteristics with user requirements. Remote Sensing of Environment, 252, doi:10.1016/j.rse.2020.112162.

Perry et al., 2020, Multi-sensor multi-temporal land surface temperature algorithm intercomparison assessment, Remote Sensing, 12(24), 4164

Prandi, P., Meyssignac, B., Ablain, M., Spada, G., Ribes, A. & Benveniste, J., Local sea level trends, accelerations and uncertainties over 1993–2019. Sci Data 8, 1 (2021). https://doi.org/10.1038/s41597-020-00786-7

Ramo, R., Roteta, E., Bistinas, I., Wees, D., Bastarrika, A., Chuvieco, E. & van de Werf, G. (2021) African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data. PNAS 118 (9) e2011160118, https://doi.org/10.1073/pnas.2011160118

Roteta, E., Bastarrika, A., Franquesa, M., Chuvieco E. (2021) Landsat and Sentinel2 based burned area mapping tools in Google Earth Engine. Remote Sensing 13 (4), 816, https://doi.org/10.3390/rs13040816

Rouyet, L., Lilleøren, K.S., Böhme, M., Vick, L.M., Delaloye, R., Etzelmüller, B., Lauknes, T.R., Larsen, Y., and Blikra, L.H. (2021): Regional MorphoKinematic Inventory of Slope Movements in Northern Norway. Front. Earth Sci. 9:681088, https://doi.org/10.3389/feart.2021.681088

Rusu, L., Rusu, E., 2021. Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements. Energies 14, 394. https://doi.org/10.3390/en14020394

Santoro, M., Cartus, O., Fransson, J.E.S., 2021. Integration of allometric equations in the water cloud model towards an improved retrieval of forest stem volume with L-band SAR data in Sweden. Remote Sensing of Environment 253, 112235. Page 2

Simonsen, S. B., Barletta, V. R., & Sørensen, L. S: Greenland Ice Sheet mass balance (1992–2020) from calibrated radar altimetry, Geophysical Research Letters, https://doi.org/10.1029/2020GL091216, 2021

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Strozzi, T., Wiesmann, A., Schellenberger, T., Kääb, A., and Paul, F. (subm.): Longterm trends and seasonal variability of ice surface velocity in the Eastern Arctic from satellite SAR data. Earth Syst. Sci. Data Discuss.

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Veremeeva, A. I. Nitze, F. Günther, G. Grosse and E. Rivkina, Geomorphological and Climatic Drivers of Thermokarst Lake Area Increase Trend (1999–2018) in the Kolyma Lowland Yedoma Region, North-Eastern Siberia, Remote Sensing, 13(2), 178, 2021, doi:10.3390/rs13020178.

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Wu, Y., C.R. Duguay and L. Xu, 2 Assessment of machine learning classifiers for global ice cover mapping from MODIS TOA reflectance data Remote Sensing of Environment https://doi.org/10.1016/j.rse.2020.112206

Wu, X.; Naegeli, K.; Premier, V.; Marin, C.; Ma, D.; Wang, J.; Wunderle, S.: Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas. The Cryosphere, 15(9), pp. 4261-4279. Copernicus Publications https://doi.org/10.5194/tc-15-4261-2021, 2021.

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Albergel, C., Zheng, Y., Bonan, B., Dutra, E., Rodríguez-Fernández, N., Munier, S., Draper, C., de Rosnay, P., Muñoz-Sabater, J., Balsamo, G., Fairbairn, D., Meurey, C., and Calvet, J.-C.: Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces, Hydrol. Earth Syst. Sci., 24, 4291–4316, https://hess.copernicus.org/articles/24/4291/2020/, 2020.

Allen, S., Huggel, C. and Paul, F. (2020): Gefahren aus vergletscherten Vulkanen: Das Beispiel Nevado del Ruiz. In: Lozán J. L., S.-W. Breckle, H. Graßl, et al. (Hrsg.): Warnsignal Klima: Hochgebirge im Wandel. pp. 324-329.

Altena, B. and Kääb, A. (2020): Ensemble matching of repeat satellite images applied to measure fast-changing ice flow, verified with mountain climber trajectories on Khumbu icefall, Mount Everest. Journal of Glaciology, 1-11. doi:10.1017/jog.2020.66.

Akhil, V.P., J. Vialard, M. Lengaigne, M. G. Keerthi, J. Boutin and J.L. Vergely, Analysing Bay of Bengal Sea Surface Salinity variability using an improved re-processing of SMOS, RSE, in press, 2020.

Andersen, Jonas Kvist., Anders Kusk, John Peter Merryman Boncori, Christine Schøtt Hvidberg, Aslak Grinsted: Improved Ice Velocity Measurements with Sentinel-1 TOPS. Interferometry, Remote Sens. 2020, 12(12), 2014. https://doi.org/10.3390/rs12122014 , 2020.

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Bartsch A, Ley S, Nitze I, Pointner G and Vieira G (2020), Feasibility Study for the Application of Synthetic Aperture Radar for Coastal Erosion Rate Quantification Across the Arctic. Frontiers in Environmental Science, Volume 8, pages 43. doi: 10.3389/fenvs.2020.00143.

Bergstedt H., A. Bartsch, A. Neureiter, A. Höfler, B. Widhalm, N. Pepin, and J, Hjort, Deriving a Frozen Area Fraction From Metop ASCAT Backscatter Based on Sentinel-1, IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2020.2967364(Early Access).

Bergstedt, H., Bartsch, A., Duguay, C., Jones, B. (2020): Influence of surface water on coarse resolution C-band backscatter: Implications for freeze/thaw retrieval from scatterometer data. Remote Sensing of Environment, Volume 247, 15 September 2020, 111911, https://doi.org/10.1016/j.rse.2020.111911.

Bilbao, R., Wild, S., Otega, B., Acosta-Navarro, J., Arsouze, T., Bretonniere, P-A., Caron, L-P., Castrillo, M., Cruz-Gracia, R., Cvijanovic, I., Doblas-Reyes, F.J., Donat, M., Dura, E., Echevarría, P., Ho, A-C., Loosveldt-Tomas, S., Moreno-Chamarro, E., Pérez-Zanon, N., Ramos, A., Ruprich-Robert, Y., Sicardi, V., Tourigny, E., Vegas-Regidor, J.: Assessment of a full-Field initialised decadal climate prediction system with the CMIP6 version of EC-Earth, https://esd.copernicus.org/preprints/esd-2020-66/ 2020

Bowman, D., Williamson, G., Yebra, M., Lizundia-Loiola, J., Pettinari, M.L., Shah, S., Bradstock, R., Chuvieco, E.(2020) Wildfires: Australia needs a national monitoring agency. Nature 584, 188-191, https://doi.org/10.1175/BAMS-D-19-0127.1

Campagnolo, M.L., R.L. Libonati, J.A. Rodrigues, and J.M.C. Pereira (2020) A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas. Remote Sensing of Environment, in press.

Carturan, L., Rastner, P. and Paul, F. (2020): On the disequilibrium response and climate change vulnerability of the mass balance glaciers in the Alps. Journal of Glaciology. doi.org/10.1017/jog.2020.71

Ciais, P., Bastos, A., Chevallier, F., Lauerwald, R., Poulter, B., Canadell, P., Hugelius, G., Jackson, R. B., Jain, A., Jones, M., Kondo, M., Luijkx, I., Patra, P. K., Peters, W., Pongratz, J., Petrescu, A. M. R., Piao, S., Qiu, C., Von Randow, C., Regnier, P., Saunois, M., Scholes, R., Shvidenko, A., Tian, H., Yang, H., Wang, X., and Zheng, B.: Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-259, in review, 2020.

Cheruy, F., Ducharne, A., Hourdin, F., Musat, I., Vignon, E., et al.: Improved near surface continental climate in IPSL-CM6A-LR by combined evolutions of atmospheric and land surface physics, Journal of Advances in Modeling Earth Systems, https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019MS002005, 2020.

Chuvieco, E., Aguado, I., Salas, J., García, M., Yebra, M., & Oliva, P. (2020). Satellite Remote Sensing Contributions to Wildland Fire Science and Management. Current Forestry Reports, https://doi.org/10.1007/s40725-40020-00116-40725.

Coldewey-Egbers, M., Loyola, D. G., Labow, G., and Frith, S. M.: Comparison of GTO-ECV and adjusted MERRA-2 total ozone columns from the last 2 decades and assessment of interannual variability, Atmos. Meas. Tech., 13, 1633–1654, https://doi.org/10.5194/amt-13-1633-2020, 2020.

Dodet, G., Melet, A., Ardhuin, F., Bertin, X., Idier, D., Almar, R., 2019. The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes. Surv Geophys. https://doi.org/10.1007/s10712-019-09557-5

Dameris, M., Loyola, D. G., Nützel, M., Coldewey-Egbers, M., Lerot, C., Romahn, F., and van Roozendael, M.: First description and classification of the ozone hole over the Arctic in boreal spring 2020, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-746, in review, 2020.

Dodet, G., Piolle, J.-F., Quilfen, Y., Abdalla, S., Accensi, M., Ardhuin, F., Ash, E., Bidlot, J.-R., Gommenginger, C., Marechal, G., Passaro, M., Quartly, G., Stopa, J., Timmermans, B., Young, I., Cipollini, P., Donlon, C., 2020. The Sea State CCI dataset v1: towards a Sea State Climate Data Record based on satellite observations. Earth System Science Data Discussions 1–28. https://doi.org/10.5194/essd-2019-253

Ford, D. Assessing the role and consistency of satellite observation products in global physical-biogeochemical ocean reanalysis. Submitted to Ocean Science (https://os.copernicus.org/preprints/os-2019-118/)

Gliß, J., Mortier, A., Schulz, M., Andrews, E., Balkanski, Y., Bauer, S. E., Benedictow, A. M. K., Bian, H., Checa-Garcia, R., Chin, M., Ginoux, P., Griesfeller, J. J., Heckel, A., Kipling, Z., Kirkevåg, A., Kokkola, H., Laj, P., Le Sager, P., Lund, M. T., Lund Myhre, C., Matsui, H., Myhre, G., Neubauer, D., van Noije, T., North, P., Olivié, D. J. L., Sogacheva, L., Takemura, T., Tsigaridis, K., and Tsyro, S. G.: Multi-model evaluation of aerosol optical properties in the AeroCom phase III Control experiment, using ground and space based columnar observations from AERONET, MODIS, AATSR and a merged satellite product as well as surface in-situ observations from GAW sites, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-1214, in review, 2020.

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Haga, O., McNabb, R., Nuth, C., Altena, B., Schellenberger, T., & Kääb, A. (2020). From high friction zone to frontal collapse: Dynamics of an ongoing tidewater glacier surge, Negribreen, Svalbard. Journal of Glaciology, 1-13. https://doi.org/10.1017/jog.2020.43

He, Z., Lei, L., Zhang, Y., Sheng, M., Wu, C., Li, L., Zeng, Z.-C., Welp, L.R., Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method, Remote Sens., 12, 576, 2020.

Jonas Kvist Andersen, Anders Kusk, John, Peter Merryman, Boncori, Christine, Schøtt, Hvidberg, Aslak Grinsted “Improved Ice Velocity Measurements with Sentinel-1 TOPS Interferometry” Remote Sens. 2020, 12(12), 2014; https://doi.org/10.3390/rs12122014

Kääb, A., Strozzi, T., Bolch, T., Caduff, R., Trefall, H., Stoffel, M., and Kokarev, A.: Inventory, motion and acceleration of rock glaciers in Ile Alatau and Kungöy Ala-Too, northern Tien Shan, since the 1950s, The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-109, in review, 2020.

Kääb, A. (2020): Wenn Gletscher abrutschen. In: Lozán J. L., S.-W. Breckle, H. Grassl et al. (Hrsg.). Warnsignal Klima: Hochgebirge im Wandel. S. 135-140. doi:10.2312/warnsignalklima. hochgebirge-im-wandel.20

Kern, S.,Lavergne,T.,Notz,D.,Pedersen,L.T.,andTonboe,R.T.: Satellite Passive Microwave Sea-Ice Concentration Data Set Intercomparison for Arctic Summer Conditions, The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-35, 2020.

Kulk, Gemma & Platt, Trevor & Dingle, James & Jackson, Thomas & Jönsson, Bror & Bouman, Heather & Babin, Marcel & Brewin, Bob & Doblin, Martina & Estrada, Marta & Figueiras, F.G. & Furuya, Ken & González-Benítez, Natalia & Gudfinnsson, Hafsteinn & Gudmundsson, Kristinn & Huang, Bangqin & Isada, Tomonori & Kovač, Žarko & Lutz, Vivian & Sathyendranath, Shubha. (2020). Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades. Remote Sensing. 12.826.10.3390/rs12050826.

Lauer, A., Eyring, V., Bellprat, O., Bock, L., Gier, B. K., Hunter, A., Lorenz, R., Pérez-Zanón, N., Righi, M., Schlund, M., Senftleben, D., Weigel, K., and Zechlau, S.: Earth System Model Evaluation Tool (ESMValTool) v2.0 - diagnostics for emergent constraints and future projections from Earth system models in CMIP, Geosci. Model. Dev., 13, 4205-4228,

Legeais, J.-F., M. Ablain, L. Zawadzki, H. Zuo, J.A. Johannessen, M.G. Scharffenberg, L. Fenoglio-Marc, M.J. Fernandes, O.B. Andersen, S. Rudenko, P. Cipollini, G.D. Quartly, M. Passaro, A. Cazenave, J. Benveniste, 2018. An improved and homogeneous altimeter sea level record: from the ESA Climate Change Initiative. Earth Sys. Sci. Data 10, 281-301. doi: 10.5194/essd-10-281-2018

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Loyola, D. G., Xu, J., Heue, K.-P., and Zimmer, W.: Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements, Atmos. Meas. Tech., 13, 985–999, https://doi.org/10.5194/amt-13-985-2020, 2020

Mahecha, M. D., Gans, F., Brandt, G., Christiansen, R., Cornell, S. E., Fomferra, N., Kraemer, G., Peters, J., Bodesheim, P., Camps-Valls, G., Donges, J. F., Dorigo, W., Estupiñan-Suarez, L., Gutierrez-Velez, V. H., Gutwin, M., Jung, M., Londoño, M. C., Miralles, D. G., Papastefanou, P., and Reichstein, M. (2020) Earth system data cubes unravel global multivariate dynamics, Earth Syst. Dynam., 11, 201–234, 2020. https://doi.org/10.5194/esd-11-201-2020

Mankoff K, A Solgaard et al: "Greenland Ice Sheet solid ice discharge from 1986 through March 2020". Earth System Science Data, 2020, 12 (2), 1367-1383. DOI 10.5194/essd-12-1367-2020.

Moesinger, L., Dorigo, W., Jeu, R. de, Schalie, R. van der, Scanlon, T., Teubner, I., Forkel, M. (2020) The Global Long-term Microwave Vegetation Optical Depth Climate Archive (VODCA). Earth System Science Data 12, 177–196.https://doi.org/10.5194/essd-12-177-2020

Moreno MV, Laurent P., Ciais P., Mouillot T. 2020. Assessing satellite-derived fire patches with functional diversity trait methods. Remote Sensing of Environment, 247, 111897. https://doi.org/10.1016/j.rse.2020.111897

Mortimer, C., L. Mudryk, C. Derksen, K. Luojus, R. Brown, R. Kelly, and M. Tedesco. 2020. Evaluation of long term Northern Hemisphere snow water equivalent products. The Cryosphere. DOI: 10.5194/tc-14-1579-2020.

Paschou, P., Koukouli, M.-E., Balis, D., Lerot, C., and M. Van Roozendael: The effect of considering polar vortex dynamics in the validation of satellite total ozone observations. Atmospheric Research, 238, 104870, https://doi.org/https://doi.org/10.1016/j.atmosres. 2020.104870, 2020.

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Philipp, D., M. Stengel, and B. Ahrens, 2020: Analyzing the Arctic Feedback Mechanism between Sea Ice and Low-Level Clouds Using 34 Years of Satellite Observations. J. Climate, 33, 7479–7501, https://doi.org/10.1175/JCLI-D-19-0895.1.

Popp, T., M. I. Hegglin, R. Hollmann, F. Ardhuin, A. Bartsch, A. Bastos, V. Bennett, J. Boutin, C. Brockmann, M. Buchwitz, E. Chuvieco, P. Ciais, W. Dorigo, D. Ghent, R. Jones, T. Lavergne, C. J. Merchant, B. Meyssignac, F. Paul, S. Quegan, S. Sathyendranath, T. Scanlon, M. Schröder, S. G. H. Simis, U. Willén, Consistency of satellite climate data records for Earth system monitoring. Bull. Amer. Meteor. Soc., doi: https://doi.org/10.1175/BAMSD-19-0127.1, 2020.

Podsiadlo, C. Paris, L. Bruzzone, “A study of the robustness of the long short-term memory classifier to cloudy time series of multispectral images Paper Poster Presentation,” SPIE 2020, SPIE Conference on Image and Signal Processing for Remote Sensing XXVI, Virtual Meeting, 21-25 September 2020.

Poulsen, C. A., McGarragh, G. R., Thomas, G. E., Stengel, M., Christensen, M. W., Povey, A. C., Proud, S. R., Carboni, E., Hollmann, R., and Grainger, R. G.: Cloud_cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties, Earth Syst. Sci. Data, 12, 2121–2135, https://doi.org/10.5194/essd-12-2121-2020, 2020.

Preimesberger, W., A. Pasik, R. van der Schalie, T. Scanlon, R. Kidd, R. De Jeu, W. Dorigo: "[Hydrological cycle] Soil Moisture [in "State of the Climate in 2019"]";
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Pulliainen, J., Luojus, K., Derksen, C., Mudryk, L., Lemmetyinen, J., Salminen, M., Ikonen, J., Takala, M., Cohen, J., Smolander, T., and Norberg, J.: Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018. Nature, 581, 294-298, 2020, https://doi.org/10.1038/s41586-020-2258-0.

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Reuter, M., Buchwitz, M., Schneising, O., Noel, S., Bovensmann, H., Burrows, J. P., Boesch, H., Di Noia, A., Anand, J., Parker, R. J., Somkuti, P., Wu, L., Hasekamp, O. P., Aben, I., Kuze, A., Suto, H., Shiomi, K., Yoshida, Y., Morino, I., Crisp, D., O'Dell, C. W., Notholt, J., Petri, C., Warneke, T., Velazco, V. A., Deutscher, N. M., Griffith, D. W. T., Kivi, R., Pollard, D. F., Hase, F., Sussmann, R., Te, Y. V., Strong, K., Roche, S., Sha, M. K., De Maziere, M., Feist, D. G., Iraci, L. T., Roehl, C. M., Retscher, C., and Schepers, D.: Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003-2018) for carbon and climate applications, Atmos. Meas. Tech., 13, 789-819, https://doi.org/10.5194/amt-13-789-2020, 2020.

Rott et al. Impact of marine processes on flow dynamics of northern Antarctic Peninsula outlet glaciers. Nature Communications.

Sathyendranath, S, Trevor Platt, Zarko Kovac, James Dingle, Thomas Jackson, Robert Brewin, Peter Franks, Emilio Maranon, Gemma Kulk, and Heather Bouman (2020) Reconciling models of primary production and photoacclimation. Applied Optics. 10.1364/AO.386252

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Sayer, A. M., Govaerts, Y., Kolmonen, P., Lipponen, A., Luffarelli, M., Mielonen, T., Patadia, F., Popp, T., Povey, A. C., Stebel, K., and Witek, M. L.: A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing, Atmospheric Measurements and Techniques, 13, 373–404, https://doi.org/10.5194/amt-13-373-2020, 2020.

Schlembach, F.; Passaro, M.; Quartly, G.D.; Kurekin, A.; Nencioli, F.; Dodet, G.; Piollé, J.-F.; Ardhuin, F.; Bidlot, J.; Schwatke, C.; Seitz, F.; Cipollini, P.; Donlon, C. Round Robin Assessment of Radar Altimeter Low Resolution Mode and Delay-Doppler Retracking Algorithms for Significant Wave Height. Remote Sens. 2020, 12, 1254. https://doi.org/10.3390/rs12081254, 2020

Schneising, O., Buchwitz, M., Reuter, M., Vanselow, S., Bovensmann, H., and Burrows, J. P.: Remote sensing of methane leakage from natural gas and petroleum systems revisited, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-274, ACP version in press, 2020.

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Schutgens, N. and Sayer, A. M. and Heckel, A. and Hsu, C. and Jethva, H. and de Leeuw, G. and Leonard, P. J. T. and Levy, R. C. and Lipponen, A. and Lyapustin, A. and North, P. and Popp, T. and Poulson, C. and Sawyer, V. and Sogacheva, L. and Thomas, G. and Torres, O. and Wang, Y. and Kinne, S. and Schulz, M. and Stier, P., An AeroCom/AeroSat study: Intercomparison of Satellite AOD Datasets for Aerosol Model Evaluation, accepted for Atmospheric Chemistry and Physics, 2020

Schmidt, K, Birchill, AJ, Atkinson, A, et al. Increasing picocyanobacteria success in shelf waters contributes to long‐term food web degradation. Glob Change Biol. 2020; 00: 1– 14. https://doi.org/10.1111/gcb.15161

Slater, T., Hogg, A.E. & Mottram, R. Ice-sheet losses track high-end sea-level rise projections. Nat. Clim. Chang. 10, 879–881 (2020). https://doi.org/10.1038/s41558-020-0893-y

Shepherd, A., Ivins, E., Rignot, E. et al. Mass balance of the Greenland Ice Sheet from 1992 to 2018. Nature 579, 233–239 (2020). https://doi.org/10.1038/s41586-019-1855-2

Sofieva, V., M. Szelag, J. Tamminen, E. Kyrölä, D. Degenstein, C. Roth, D. Zawada, M. Weber, A. Rozanov, C. Arosio, A. Laeng, G. Stiller, T. von Clarmann, L. Froidevaux, N. Livesey, M. van Roozendael, C. Retscher: Regional trends of stratospheric ozone evaluated using the MErged GRIdded Dataset of Ozone Profiles (MEGRIDOP), to be submitted to ACP (2020)

Souda, V.P., Minu, P., Lotliker, A.A. et al. Inter-annual variability in the inherent optical properties along the southeastern Arabian Sea from 2009 to 2015. Arab J Geosci 13, 86 (2020). https://doi.org/10.1007/s12517-020-5063-z

Solano-Correa, K. Meshkini, F. Bovolo, L. Bruzzone “A land cover-driven approach for fitting satellite image time series in a change detection context Paper Presentation”, SPIE 2020, SPIE Conference on Image and Signal Processing for Remote Sensing XXVI, Virtual Meeting, 21-25 September 2020.

Stengel, M. et al. (2020) ‘Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties’, Earth System Science Data, 12(1), pp. 41–60. doi: 10.5194/essd-12-41-2020.

Stengel, M., Stapelberg, S., Sus, O., Finkensieper, S., Würzler, B., Philipp, D., Hollmann, R., Poulsen, C., Christensen, M., and McGarragh, G.: Cloud_CCI Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) data set version 3: 35-year climatology of global cloud and radiation properties, Earth Syst. Sci. Data, 12, 41–60, https://doi.org/10.5194/essd-12-41-2020, 2020.

Strozzi T., R. Caduff, N. Jones, C. Barboux, R. Delaloye, X. Bodin, A. Kääb, E. Mätzler and L. Schrott, Monitoring Rock Glacier Kinematics with Synthetic Aperture Radar, Remote Sensing, 12(3), 559, 2020, https://www.mdpi.com/2072-4292/12/3/559.

Suvarna Fadnavis, Christopher E. Sioris, Neeraj Wagh, Rajib Chattopadhyay, Mengchu Tao, Prashant Chavan, and Tanusri Chakroborty, A rising trend of double tropopauses over South Asia in a warming environment: Implications for moistening of the lower stratosphere. Int. J. Climatol., 1–16, 2020, doi: 10.1002/joc.6677.

Swingedouw, D., Speranza, C., Bartsch, A., Durand, G., Jamet, C., Beaugrand, G., Conversi, A. (2020): Early Warning from Space for a Few Key Tipping Points in Physical, Biological, and Social-Ecological Systems. Surveys in Geophysics. https://doi.org/10.1007/s10712-020-09604-6

Szeląg, M. E., Sofieva, V. F., Degenstein, D., Roth, C., Davis, S., and Froidevaux, L.: Seasonal stratospheric ozone trends over 2000–2018 derived from several merged data sets, Atmos. Chem. Phys., 20, 7035–7047, https://doi.org/10.5194/acp-20-7035-2020, 2020.

Tanase, M.A., Belengher-Plomer, M.A., Roteta, E., Bastarrika, A., Wheeler, J. Fernández-Carrillo, A., Tansey, K., Wiedermann, W., Navratil, P., Lohberger, S., Siegert, F., Chuvierco, E. (2020) Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa. Remote Sensing 12 (2), 334, https://doi.org/10.3390/rs12020334

Timmermans, B.W., Gommenginger, C.P., Dodet, G., Bidlot, J.-R., 2020. Global Wave Height Trends and Variability from New Multimission Satellite Altimeter Products, Reanalyses, and Wave Buoys. Geophysical Research Letters 47, e2019GL086880. https://doi.org/10.1029/2019GL086880

Tian et al. A comprehensive quantification of global nitrous oxide sources and sinks, Nature, In press Oct 2020.

Ting Lin, Qingyou He, Weikang Zhan & Haigang Zhan (2020) Persistent data gap in ocean color observations over the East China Sea in winter: causes and reconstructions, Remote Sensing Letters, 11:7, 667-676, DOI: 10.1080/2150704X.2020.1754491

Van der Vliet, M., Van Der Schalie, R., Rodriguez-Fernandez, N., Colliander, A., De Jeu, R., Preimesberger, W., Scanlon, T., Dorigo, W. (submitted) Reconciling flagging strategies for multi-sensor satellite soil moisture climate data records, Remote Sensing

Waliser, D., Gleckler, P. J., Ferraro, R., Taylor, K. E., Ames, S., Biard, J., Bosilovich, M. G., Brown, O., Chepfer, H., Cinquini, L., Durack, P. J., Eyring, V., Bathieu, P.-P., Lee, T., Pinnock, S., Potter, G. L., Rixen, M., Saunders., R., Schulz, J., Thépaut, J.-N., Tuma, M. (2020) Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6. Geosci. Model Dev., 13, 2945-2958 .

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Wu, Y., C.R. Duguay and L. Xu (2020). Lake ice classification from MODIS TOA reflectance imagery using a convolutional neural network: a case study of Great Slave Lake, Canada. Proceedings of 2020 IEEE International Geoscience & Remote Sensing Symposium, Waikoloa, Hawaii, USA, 19-24 July, 4 pp.

Xaver, A., Zappa, L.,Rab, G., Pfeil, I.,Vreugdenhil, M., Hemmet, D.,Dorigo, W. (2020). Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications. Geosci. Instrum. Method. and Data Syst. https://doi.org/10.5194/gi-2019-38

Yang, D., Boesch, H. Liu, Y., et al.: Toward High Precision XCO2 Retrievals from TanSat Observations: Retrieval Improvement and Validation against TCCON Measurements, J. Geophys. Res. Atmospheres (in press), initially submitted manuscript: https://www.essoar.org/pdfjs/10.1002/essoar.10502909.1, 2020.

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Zhang, G., Xiao, X., Dong, J., Xin, F., Zhang, Y., Qin, Y., Doughty, R. B., Moore III, B., Fingerprint of rice paddies in spatial–temporal dynamics of atmospheric methane concentration in monsoon Asia, Nat. Commun. 11, 554, 2020.

Zheng, Y., Albergel, C., Munier, S., Bonan, B., and Calvet, J.-C.: An offline framework for high-dimensional ensemble Kalman filters to reduce the time to solution, Geosci. Model Dev., 13, 3607–3625, https://gmd.copernicus.org/articles/13/3607/2020/, 2020.

2019

Altena, B., Scambos, T., Fahnestock, M., and Kääb, A. (2019): Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data. The Cryosphere, 13, 795-814. https://doi.org/10.5194/tc-13-795-2019

Ardhuin, Fabrice & Stopa, Justin & Chapron, Bertrand & Collard, Fabrice & Jensen, Robert & Johannessen, Johnny & Husson, Romain & Mouche, Alexis & Passaro, Marcello & Quartly, Graham & Swail, Val & Young, Ian. (2018). Observing sea states. Frontiers in Marine Science 2019 vol: 6 pp: 124. doi: 10.3389/fmars.2019.00124.

Belenguer-Plomer, M. A., Chuvieco, E. and Tanase, M. A. (2019) ‘Temporal Decorrelation of C-Band Backscatter Coefficient in Mediterranean Burned Areas’, Remote Sensing. Multidisciplinary Digital Publishing Institute, 11(22), p. 2661. doi: 10.3390/rs11222661.

Brennan, J. et al. (2019) ‘Theoretical uncertainties for global satellite-derived burned area estimates’, Biogeosciences, 16(16), pp. 3147–3164. doi: 10.5194/bg-16-3147-2019.

Berzaghi, F., Longo, M., Ciais, P., Blake, S., Bretagnolle, F., Vieira, S., Scaranello, M., Scarascia-Mugnozza, G. and Doughty, C. E. (2019) Carbon stocks in central African forests enhanced by elephant disturbance. Nat. Geosci. 12, 725–729 (2019). https://doi.org/10.1038/s41561-019-0395-6

Ceamanos, X. et al. (2019) ‘Assessing the Potential of Geostationary Satellites for Aerosol Remote Sensing Based on Critical Surface Albedo’, Remote Sensing, 11(24), p. 2958. doi: 10.3390/rs11242958.

Chave, J., Davies, S. J., Phillips, O. L., Lewis, S. L., Sist, P., Schepaschenko, D., ... & Duncanson, L. (2019). Ground data are essential for biomass remote sensing missions. Surveys in Geophysics, 40 (4): 863-880. DOI:10.1007/s10712-019-09528-w.

Chevallier, F. et al. (2019) ‘Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions’, Atmospheric Chemistry and Physics, 19(22), pp. 14233–14251. doi: 10.5194/acp-19-14233-2019.

Chuvieco Emilio, Florent Mouillot, Guido R. van der Werf, Jesús San Miguel, Mihai Tanase, Nikos Koutsias, Mariano García, Marta Yebra, Marc Padilla, Ioannis Gitas, Angelika Heil, Todd J. Hawbaker, Louis Giglio (2019) Historical background and current developments for mapping burned area from satellite Earth observation, Remote Sensing of Environment 225, 45-64, https://doi.org/10.1016/j.rse.2019.02.013.

De Rydt, J., Gudmundsson, G. H., Nagler, T., and Wuite, J.: Calving cycle of the Brunt Ice Shelf, Antarctica, driven by changes in ice-shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-46, in review, 2019.

Deschamps-Berger, C., C. Nuth, W. Van Pelt, E. Berthier, J. Kohler & B. Altena (2019): Closing the mass budget of a tidewater glacier, an example of Kronebreen, Svalbard. J. Glaciol., 65(249) 136-148. DOI: https://doi.org/10.1017/jog.2018.98

Duncanson, L., Armston, J., Disney, M., Avitabile, V., Barbier, N., Calders, K., Carter, S., Chave, J., Herold, M., Crowther, T. W., Falkowski, M., Kellner, J. R., Labrière, N., Lucas, R., MacBean, N., McRoberts, R. E., Meyer, V., Næsset, E., Nickeson, J. E., Paul, K. I., Phillips, O. L., Réjou-Méchain, M., Román, M., Roxburgh, S., Saatchi, S., Schepaschenko, D., Scipal, K., Siqueira, P. R., Whitehurst, A. & Williams, M. (2019). The Importance of Consistent Global Forest Aboveground Biomass Product Validation. Surveys in Geophysics 40 (4): 979-999. DOI:10.1007/s10712-019-09538-8

Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., and Willén, U. (2019) The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model, Geosci. Model Dev., 12, 829-847, https://doi.org/10.5194/gmd-12-829-2019, 2019

Eyring, V. et al. (2019) Taking climate model evaluation to the next level. Nature Climate Change, Vol 9, 102, 102–110. https://doi.org/10.1038/s41558-018-0355-y

Falaschi, D., Kääb, A., Paul, F., Tadono, T., Rivera, J.A. and Lenzano, L.E. (2019): Brief communication: Collapse of 4 Mm3of ice from a cirque glacier in the Central Andes of Argentina. The Cryosphere, 13, 997-1004. https://doi.org/10.5194/tc-13-997-2019

Fischer, F.J., Marechaux, I., Chave, J. (2019). Improving plant allometry by fusing forest models and remote sensing. https://doi.org/10.1111/nph.15810.

Forkel, M., Andela, N., Harrison, S. P., Lasslop, G., van Marle, M., Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., and Arneth, A. (2019) Emergent relationships on burned area in global satellite observations and fire-enabled vegetation models. Biogeosciences 16, 57-76

Galytska, E., Rozanov, A., Chipperfield, M. P., Dhomse, Sandip. S., Weber, M., Arosio, C., Feng, W., and Burrows, J. P.: Dynamically controlled ozone decline in the tropical mid-stratosphere observed by SCIAMACHY, Atmos. Chem. Phys., 19, 767-783, https://doi.org/10.5194/acp-19-767-2019, 2019.

Gerland, S., D. Barber, W. N. Meier, C. J. Mundy, M. Holland, S. Kern, Z. Li, C. Michel, D. Perovich, and T. Tamura: Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice, Environmental Research Letters, 14(4), https://iopscience.iop.org/article/10.1088/1748-9326/ab09b3, 2019.

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Khaki, M., Awange, J., Forootan, E., & Kuhn, M. (2018). Understanding the association between climate variability and the Nile’s water level fluctuations and water storage changes during 1992–2016. Science of The Total Environment, 645, 1509–1521. http://doi.org/10.1016/J.SCITOTENV.2018.07.212

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Kim, S., Paik, K., Johnson, F. M., & Sharma, A. (2018). Building a Flood-Warning Framework for Ungauged Locations Using Low Resolution, Open-Access Remotely Sensed Surface Soil Moisture, Precipitation, Soil, and Topographic Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(2), 375–387. http://doi.org/10.1109/JSTARS.2018.2790409

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Lindbäck, K., Kohler, J., Pettersson, R., Nuth, C., Langley, K., Messerli, A., … Brandt, O. (2018). Subglacial topography, ice thickness, and bathymetry of Kongsfjorden, northwestern Svalbard. Earth Syst. Sci. Data, 10, 1769–1781. http://doi.org/10.5194/essd-10-1769-2018

Liu, X., Devred, E., Johnson, C., Liu, X., Devred, E., & Johnson, C. (2018). Remote Sensing of Phytoplankton Size Class in Northwest Atlantic from 1998 to 2016: Bio-Optical Algorithms Comparison and Application. Remote Sensing, 10(7), 1028. http://doi.org/10.3390/rs10071028

Lobanova, P., Tilstone, G. H., Bashmachnikov, I., Brotas, V., Lobanova, P., Tilstone, G. H., … Brotas, V. (2018). Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean. Remote Sensing, 10(7), 1116. http://doi.org/10.3390/rs10071116

Lohberger, S., Stängel, M., Atwood, E. C., & Siegert, F. (2018). Spatial evaluation of Indonesia’s 2015 fire-affected area and estimated carbon emissions using Sentinel-1. Global Change Biology, 24(2), 644–654. http://doi.org/10.1111/gcb.13841

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Poméon, T., Diekkrüger, B., Springer, A., Kusche, J., Eicker, A., Poméon, T., … Eicker, A. (2018). Multi-Objective Validation of SWAT for Sparsely-Gauged West African River Basins—A Remote Sensing Approach. Water, 10(4), 451. http://doi.org/10.3390/w10040451

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van Peet, J. C. A., van der A, R. J., Kelder, H. M., & Levelt, P. F. (2018). Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments. Atmospheric Chemistry and Physics, 18(3), 1685–1704. http://doi.org/10.5194/acp-18-1685-2018

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Xie, Y., Xue, Y., Che, Y., Guang, J., Mei, L., Voorhis, D., … Xu, H. (2018). Ensemble of ESA/AATSR Aerosol Optical Depth Products Based on the Likelihood Estimate Method With Uncertainties. IEEE Transactions on Geoscience and Remote Sensing, 56(2), 997–1007. http://doi.org/10.1109/TGRS.2017.2757910

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2017

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Afshar, M. H., & Yilmaz, M. T. (2017). The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products. Remote Sensing of Environment, 196, 224–237. http://doi.org/10.1016/J.RSE.2017.05.017

AGARWAL, V., BOLCH, T., SYED, T. H., PIECZONKA, T., STROZZI, T., & NAGAICH, R. (2017). Area and mass changes of Siachen Glacier (East Karakoram). Journal of Glaciology, 63(237), 148–163. http://doi.org/10.1017/jog.2016.127

Al-Naimi, N., Raitsos, D., Ben-Hamadou, R., & Soliman, Y. (2017). Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf. Remote Sensing, 9(3), 301. http://doi.org/10.3390/rs9030301

Albergel, C., Munier, S., Leroux, D. J., Dewaele, H., Fairbairn, D., Barbu, A. L., … Calvet, J.-C. (2017). Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area. Geoscientific Model Development, 10(10), 3889–3912. http://doi.org/10.5194/gmd-10-3889-2017

Altena, B., & Kääb, A. (2017). Elevation Change and Improved Velocity Retrieval Using Orthorectified Optical Satellite Data from Different Orbits. Remote Sensing, 9(3), 300. http://doi.org/10.3390/rs9030300

Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R., Kasibhatla, P. S., … Randerson, J. T. (2017). A human-driven decline in global burned area. Science, 356(6345). Retrieved from http://science.sciencemag.org/content/356/6345/1356

Arosio, C., Rozanov, A., Malinina, E., Eichmann, K.-U., von Clarmann, T., & Burrows, J. P. (2017). Retrieval of ozone profiles from OMPS limb scattering observations. Atmospheric Measurement Techniques Discussions, 1–23. http://doi.org/10.5194/amt-2017-301

Bellprat, O., Massonnet, F., Siegert, S., Prodhomme, C., Macias-Gómez, D., Guemas, V., & Doblas-Reyes, F. (2017). Uncertainty propagation in observational references to climate model scales. Remote Sensing of Environment, 203, 101–108. http://doi.org/10.1016/J.RSE.2017.06.034

Bingen, C., Robert, C. E., Stebel, K., Brühl, C., Schallock, J., Vanhellemont, F., … Pinnock, S. (2017). Stratospheric aerosol data records for the climate change initiative: Development, validation and application to chemistry-climate modelling. Remote Sensing of Environment, 203, 296–321. http://doi.org/10.1016/j.rse.2017.06.002

Block, T., Embacher, S., Merchant, C. J., & Donlon, C. (2017). High Performance Software Framework for the Calculation of Satellite-to-Satellite Data Matchups (MMS version 1.2). Geoscientific Model Development Discussions, 1–15. http://doi.org/10.5194/gmd-2017-54

Blunden, J., & Arndt, D. S. (2017). State of the Climate in 2016. Bulletin of the American Meteorological Society, 98(8), Si-S277.

Brun, F., Berthier, E., Wagnon, P., Kääb, A., & Treichler, D. (2017). A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016. Nature Geoscience, 10(9), 668–673. http://doi.org/10.1038/ngeo2999

Buchwitz, M., Reuter, M., Schneising, O., Hewson, W., Detmers, R. G., Boesch, H., … Wunch, D. (2017). Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set. Remote Sensing of Environment, 203, 276–295. http://doi.org/10.1016/J.RSE.2016.12.027

Buchwitz, M., Schneising, O., Reuter, M., Heymann, J., Krautwurst, S., Bovensmann, H., … Turner, A. J. (2017). Satellite-derived methane hotspot emission estimates using a fast data-driven method. Atmospheric Chemistry and Physics, 17(9), 5751–5774. http://doi.org/10.5194/acp-17-5751-2017

C, G. K., Alexander, P., Singh, S., Pelt, van, J, W. J., Hilmar, G., … Andreassen, L. M. (2017). How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment. The Cryosphere, 11, 949–970. http://doi.org/10.5194/tc-11-949-2017

Cammalleri, C., Vogt, J. V., Bisselink, B., & de Roo, A. (2017). Comparing soil moisture anomalies from multiple independent sources over different regions across the globe. Hydrology and Earth System Sciences Discussions, 1–34. http://doi.org/10.5194/hess-2017-196

Carret, A., Johannessen, J. A., Andersen, O. B., Ablain, M., Prandi, P., Blazquez, A., & Cazenave, A. (2017). Arctic Sea Level During the Satellite Altimetry Era. Surveys in Geophysics, 38(1), 251–275. http://doi.org/10.1007/s10712-016-9390-2

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Christensen, M. W., Neubauer, D., Poulsen, C. A., Thomas, G. E., McGarragh, G. R., Povey, A. C., … Grainger, R. G. (2017). Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate. Atmospheric Chemistry and Physics, 17(21), 13151–13164. http://doi.org/10.5194/acp-17-13151-2017

Christensen, M. W., Neubauer, D., Poulsen, C., Thomas, G., McGarragh, G., Povey, A. C., … Grainger, R. G. (2017). Unveiling aerosol-cloud interactions Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate. Atmospheric Chemistry and Physics Discussions, 1–21. http://doi.org/10.5194/acp-2017-450

Cipollini, P., Calafat, F. M., Jevrejeva, S., Melet, A., & Prandi, P. (2017). Monitoring Sea Level in the Coastal Zone with Satellite Altimetry and Tide Gauges. Surveys in Geophysics, 38(1), 33–57. http://doi.org/10.1007/s10712-016-9392-0

Cui, C., Xu, J., Zeng, J., Chen, K.-S., Bai, X., Lu, H., … Zhao, T. (2017). Soil Moisture Mapping from Satellites: An Intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over Two Dense Network Regions at Different Spatial Scales. Remote Sensing, 10(2), 33. http://doi.org/10.3390/rs10010033

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Treichler, D., & Kääb, A. (2017). Snow depth from ICESat laser altimetry — A test study in southern Norway. Remote Sensing of Environment, 191, 389–401. http://doi.org/10.1016/j.rse.2017.01.022

Trofaier, A. M., Westermann, S., & Bartsch, A. (2017). Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach. Remote Sensing of Environment, 203, 55–70. http://doi.org/10.1016/j.rse.2017.05.021

Wang, H.-L., An, R., You, J., Wang, Y., Chen, Y., Shen, X., … Quaye-Ballard, J. A. (2017). Downscaling essential climate variable soil moisture using multisource data from 2003 to 2010 in China. Journal of Applied Remote Sensing, 11(04), 1. http://doi.org/10.1117/1.JRS.11.045003

Xi, H., Hieronymi, M., Krasemann, H., & Röttgers, R. (2017). Phytoplankton Group Identification Using Simulated and In situ Hyperspectral Remote Sensing Reflectance. Frontiers in Marine Science, 4, 272. http://doi.org/10.3389/fmars.2017.00272

Yan, H., Moradkhani, H., & Zarekarizi, M. (2017). A probabilistic drought forecasting framework: A combined dynamical and statistical approach. Journal of Hydrology, 548, 291–304. http://doi.org/10.1016/j.jhydrol.2017.03.004

Yu, Y., Notaro, M., Wang, F., Mao, J., Shi, X., & Wei, Y. (2017). Observed positive vegetation-rainfall feedbacks in the Sahel dominated by a moisture recycling mechanism. Nature Communications, 8(1), 1873. http://doi.org/10.1038/s41467-017-02021-1

Yuan, S., & Quiring, S. M. (2017). Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations. Hydrol. Earth Syst. Sci, 21, 2203–2218. http://doi.org/10.5194/hess-21-2203-2017

Zohaib, M., Kim, H., & Choi, M. (2017). Evaluating the patterns of spatiotemporal trends of root zone soil moisture in major climate regions in East Asia. Journal of Geophysical Research: Atmospheres, 122(15), 7705–7722. http://doi.org/10.1002/2016JD026379

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Al-Yaari, A., Wigneron, J. P., Kerr, Y., de Jeu, R., Rodriguez-Fernandez, N., van der Schalie, R., … Ducharne, A. (2016). Testing regression equations to derive long-term global soil moisture datasets from passive microwave observations. Remote Sensing of Environment, 180, 453–464. http://doi.org/10.1016/j.rse.2015.11.022

Ashton, I. G., Shutler, J. D., Land, P. E., Woolf, D. K., & Quartly, G. D. (2016). A sensitivity analysis of the impact of rain on regional and global sea-air fluxes of CO2. PLoS ONE, 11(9), e0161105. http://doi.org/10.1371/journal.pone.0161105

Barrett, B., Pratola, C., Gruber, A., & Dwyer, E. (2016). Intercomparison of soil moisture retrievals from in-situ, ASAR and ECV SM datasets over different European sites. In G. P. Petropoulos (Ed.), Satellite Soil Moisture Retrievals: Techniques & Applications. Elsevier.

Bartsch, A., Höfler, A., Kroisleitner, C., & Trofaier, A. (2016). Land Cover Mapping in Northern High Latitude Permafrost Regions with Satellite Data: Achievements and Remaining Challenges. Remote Sensing 2016, Vol. 8, Page 979, 8(12), 979. http://doi.org/10.3390/RS8120979

Belo Couto, A., Brotas, V., Mélin, F., Groom, S., & Sathyendranath, S. (2016). Inter-comparison of OC-CCI chlorophyll- aestimates with precursor data sets. International Journal of Remote Sensing, 37(18), 4337–4355. http://doi.org/10.1080/01431161.2016.1209313

BHATTACHARYA, A., BOLCH, T., MUKHERJEE, K., PIECZONKA, T., KROPÁČEK, J., & BUCHROITHNER, M. F. (2016). Overall recession and mass budget of Gangotri Glacier, Garhwal Himalayas, from 1965 to 2015 using remote sensing data. Journal of Glaciology, 62(236), 1115–1133. http://doi.org/10.1017/jog.2016.96

Boynard, A., Hurtmans, D., Koukouli, M. E., Goutail, F., Bureau, J., Safieddine, S., … Clerbaux, C. (2016). Seven years of IASI ozone retrievals from FORLI: validation with independent total column and vertical profile measurements. Atmospheric Measurement Techniques, 9(9), 4327–4353. http://doi.org/10.5194/amt-9-4327-2016

Brewin, R. J. W., Dall’Olmo, G., Pardo, S., van Dongen-Vogels, V., & Boss, E. S. (2016). Underway spectrophotometry along the Atlantic Meridional Transect reveals high performance in satellite chlorophyll retrievals. Remote Sensing of Environment, 183, 82–97. http://doi.org/10.1016/j.rse.2016.05.005

Buchwitz, M., Schneising, O., Reuter, M., Heymann, J., Krautwurst, S., Bovensmann, H., … Frankenberg, C. (2016). Satellite-derived methane hotspot emission estimates using a fast data-driven method. Atmospheric Chemistry and Physics Discussions, 1–40. http://doi.org/10.5194/acp-2016-755

Cañas, I. A., & Salinero, E. C. (2016). DESARROLLO DE UN ALGORITMO GLOBAL DE ÁREA QUEMADA PARA IMÁGENES DEL SENSOR ENVISAT-MERIS. GeoFocus. Revista Internacional de Ciencia y Tecnología de La Información Geográfica, 0(17), 3–25. Retrieved from http://www.geofocus.org/index.php/geofocus/article/view/423/350

Che, Y., Xue, Y., Mei, L., Guang, J., She, L., Guo, J., … Fan, C. (2016). Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China. Atmospheric Chemistry and Physics, 16(15), 9655–9674. http://doi.org/10.5194/acp-16-9655-2016

Chen, T., McVicar, T., Wang, G., Chen, X., de Jeu, R., Liu, Y., … Dolman, A. (2016). Advantages of Using Microwave Satellite Soil Moisture over Gridded Precipitation Products and Land Surface Model Output in Assessing Regional Vegetation Water Availability and Growth Dynamics for a Lateral Inflow Receiving Landscape. Remote Sensing, 8(5), 428. http://doi.org/10.3390/rs8050428

Chuvieco, E., Yue, C., Heil, A., Mouillot, F., Alonso-Canas, I., Padilla, M., … Tansey, K. (2016). A new global burned area product for climate assessment of fire impacts. Global Ecology and Biogeography, 25(5), n/a-n/a. http://doi.org/10.1111/geb.12440

Ciabatta, L., Brocca, L., Massari, C., Moramarco, T., Gabellani, S., Puca, S., & Wagner, W. (2016). Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy. International Journal of Applied Earth Observation and Geoinformation, 48, 163–173. http://doi.org/10.1016/j.jag.2015.10.004

de Jeu, R., & Dorigo, W. (2016). On the importance of satellite observed soil moisture. International Journal of Applied Earth Observation and Geoinformation, 45, 107–109. http://doi.org/10.1016/j.jag.2015.10.007

Dorigo, W., & de Jeu, R. (2016). Satellite soil moisture for advancing our understanding of earth system processes and climate change. International Journal of Applied Earth Observation and Geoinformation, 48, 1–4. http://doi.org/10.1016/j.jag.2016.02.007

Dragani, R. (2016). A comparative analysis of UV nadir-backscatter and infrared limb-emission ozone data assimilation. Atmospheric Chemistry and Physics, 16(13), 8539–8557. http://doi.org/10.5194/acp-16-8539-2016

Eberenz, J., Verbesselt, J., Herold, M., Tsendbazar, N. E., Sabatino, G., & Rivolta, G. (2016). Evaluating the potential of proba-v satellite image time series for improving lc classification in semi-arid african landscapes. Remote Sensing, 8(12), 987. http://doi.org/10.3390/rs8120987

Enenkel, M., Reimer, C., Dorigo, W., Wagner, W., Pfeil, I., Parinussa, R., & De Jeu, R. (2016). Combining satellite observations to develop a global soil moisture product for near-real-time applications. Hydrology and Earth System Sciences, 20(10), 4191–4208. http://doi.org/10.5194/hess-20-4191-2016

Enenkel, M., Steiner, C., Mistelbauer, T., Dorigo, W., Wagner, W., See, L., … Rogenhofer, E. (2016). A Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations. Remote Sensing, 8(4), 340. http://doi.org/10.3390/rs8040340

FALASCHI, D., BOLCH, T., RASTNER, P., LENZANO, M. G., LENZANO, L., LO VECCHIO, A., & MORAGUES, S. (2016). Mass changes of alpine glaciers at the eastern margin of the Northern and Southern Patagonian Icefields between 2000 and 2012. Journal of Glaciology, 1–15. http://doi.org/10.1017/jog.2016.136

Feng, L., Palmer, P. I., Parker, R. J., Deutscher, N. M., Feist, D. G., Kivi, R., … Sussmann, R. (2016). Estimates of European uptake of CO2 inferred from GOSAT XCO2 retrievals: sensitivity to measurement bias inside and outside Europe. Atmospheric Chemistry and Physics, 16(3), 1289–1302. http://doi.org/10.5194/acp-16-1289-2016

Feng, L., Palmer, P. I., Bösch, H., Parker, R. J. ., Webb, A. J., Correia, C. S. C., … Zahn, A. (2016). Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4:XCO2 retrievals, 2010–2014. Atmospheric Chemistry and Physics Discussions, pp: 1-33. http://doi.org/10.5194/acp-2016-868

Fernandes, M., & Lázaro, C. (2016). GPD+ Wet Tropospheric Corrections for CryoSat-2 and GFO Altimetry Missions. Remote Sensing, 8(10), 851. http://doi.org/10.3390/rs8100851

Forkel, M., Dorigo, W., Lasslop, G., Teubner, I., Chuvieco, E., & Thonicke, K. (2016). Identifying required model structures to predict global fire activity from satellite and climate data. Geoscientific Model Development Discussions, 1–35. http://doi.org/10.5194/gmd-2016-301

Gevaert, A. I., Parinussa, R. M., Renzullo, L. J., van Dijk, A. I. J. M., & de Jeu, R. A. M. (2016). Spatio-temporal evaluation of resolution enhancement for passive microwave soil moisture and vegetation optical depth. International Journal of Applied Earth Observation and Geoinformation, 45, 235–244. http://doi.org/10.1016/j.jag.2015.08.006

Gruber, A., Su, C.-H., Crow, W. T., Zwieback, S., Dorigo, W. A., & Wagner, W. (2016). Estimating error cross-correlations in soil moisture data sets using extended collocation analysis. Journal of Geophysical Research: Atmospheres, 121(3), 1208–1219. http://doi.org/10.1002/2015JD024027

Gruber, A., Su, C.-H., Zwieback, S., Crow, W., Dorigo, W., & Wagner, W. (2016). Recent advances in (soil moisture) triple collocation analysis. International Journal of Applied Earth Observation and Geoinformation, 45, 200–211. http://doi.org/10.1016/j.jag.2015.09.002

Guemas, V., Chevallier, M., Déqué, M., Bellprat, O., & Doblas-Reyes, F. (2016). Impact of sea ice initialization on sea ice and atmosphere prediction skill on seasonal timescales. Geophysical Research Letters, 43(8), 3889–3896. http://doi.org/10.1002/2015GL066626

Harper, A. B., Cox, P. M., Friedlingstein, P., Wiltshire, A. J., Jones, C. D., Sitch, S., … Van Bodegom, P. (2016). Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information. Geoscientific Model Development, 9(7), 2415–2440. http://doi.org/10.5194/gmd-9-2415-2016

Herold, M., See, L., Tsendbazar, N.-E., & Fritz, S. (2016). Towards an Integrated Global Land Cover Monitoring and Mapping System. Remote Sensing, 8(12), 1036. http://doi.org/10.3390/rs8121036

Heue, K.-P., Coldewey-Egbers, M., Delcloo, A., Lerot, C., Loyola, D., Valks, P., & van Roozendael, M. (2016). Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 Precursor. Atmospheric Measurement Techniques, 9(10), 5037–5051. http://doi.org/10.5194/amt-9-5037-2016

Hieronymi, M. (2016). Polarized reflectance and transmittance distribution functions of the ocean surface. Optics Express, 24(14), A1045. http://doi.org/10.1364/OE.24.0A1045

Hubert, D., Lambert, J.-C., Verhoelst, T., Granville, J., Keppens, A., Baray, J.-L., … Zawodny, J. M. (2016). Ground-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records. Atmospheric Measurement Techniques, 9(6), 2497–2534. http://doi.org/10.5194/amt-9-2497-2016

Ikonen, J., Vehviläinen, J., Rautiainen, K., Smolander, T., Lemmetyinen, J., Bircher, S., & Pulliainen, J. (2016). The Sodankylä in situ soil moisture observation network: an example application of ESA CCI soil moisture product evaluation. Geoscientific Instrumentation, Methods and Data Systems, 5(1), 95–108. http://doi.org/10.5194/gi-5-95-2016

Kääb, A., Winsvold, S., Altena, B., Nuth, C., Nagler, T., & Wuite, J. (2016). Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity. Remote Sensing, 8(7), 598. http://doi.org/10.3390/rs8070598

Kauppi, A., Tuinder, O. N. E., Tukiainen, S., Sofieva, V., & Tamminen, J. (2016). Comparison of GOME-2/Metop-A ozone profiles with GOMOS, OSIRIS and MLS measurements. Atmospheric Measurement Techniques, 9(1), 249–261. http://doi.org/10.5194/amt-9-249-2016

Kern, S., Rösel, A., Pedersen, L. T., Ivanova, N., Saldo, R., & Tonboe, R. T. (2016). The impact of melt ponds on summertime microwave brightness temperatures and sea ice concentrations. The Cryosphere Discussions, 1–54. http://doi.org/10.5194/tc-2015-202

Kern, S., & Ozsoy-Çiçek, B. (2016). Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches. Remote Sensing, 8(6), 450. http://doi.org/10.3390/rs8060450

Kern, S., Ozsoy-Çiçek, B., & Worby, A. (2016). Antarctic Sea-Ice Thickness Retrieval from ICESat: Inter-Comparison of Different Approaches. Remote Sensing, 8(7), 538. http://doi.org/10.3390/rs8070538

Kern, S., Rösel, A., Pedersen, L. T., Ivanova, N., Saldo, R., & Tonboe, R. T. (2016). The impact of melt ponds on summertime microwave brightness temperatures and sea-ice concentrations. The Cryosphere, 10(5), 2217–2239. http://doi.org/10.5194/tc-10-2217-2016

Kersalé, M., Petrenko, A. A., Doglioli, A. M., Nencioli, F., Bouffard, J., Blain, S., … Dekeyser, I. (2016). Lateral diffusivity coefficients from the dynamics of a SF6 patch in a coastal environment. Journal of Marine Systems, 153, 42–54. http://doi.org/10.1016/j.jmarsys.2015.09.003

Khvorostovsky, K., & Rampal, P. (2016). On retrieving sea ice freeboard from ICESat laser altimeter. The Cryosphere, 10(5), 2329–2346. http://doi.org/10.5194/tc-10-2329-2016

Klaus-Peter, H., Melanie, C.-E., Andy, D., Christophe, L., Diego, L., Pieter, V., & Michel, R. (2016). Trends of tropical tropospheric ozone from twenty years of European satellite measurements and perspectives for Sentinel-5 Precursor. Atmos. Meas. Tech. Discuss, 5194(10), 2016–139. http://doi.org/10.5194/amt-2016-139

Korsgaard, N. J., Nuth, C., Khan, S. A., Kjeldsen, K. K., Bjørk, A. A., Schomacker, A., … Krabill, W. B. (2016). Digital elevation model and orthophotographs of Greenland based on aerial photographs from 1978–1987. Scientific Data, 3, 160032. http://doi.org/10.1038/sdata.2016.32

Koukouli, M. E., Zara, M., Lerot, C., Fragkos, K., Balis, D., van Roozendael, M., … van der A, R. J. (2016). The impact of the ozone effective temperature on satellite validation using the Dobson spectrophotometer network. Atmospheric Measurement Techniques, 9(5), 2055–2065. http://doi.org/10.5194/amt-9-2055-2016

Kulawik, S., Wunch, D., O'Dell, C., Frankenberg, C., Reuter, M., Oda, T., … Wolf, J. (2016). Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON. Atmospheric Measurement Techniques, 9(2), 683–709. http://doi.org/10.5194/amt-9-683-2016

Lauer, A., Eyring, V., Righi, M., Buchwitz, M., Defourny, P., Evaldsson, M., … Will??n, U. (2016). Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment. http://doi.org/10.1016/j.rse.2017.01.007

Legeais, J.-F., Prandi, P., & Guinehut, S. (2016). Analyses of altimetry errors using Argo and GRACE data. Ocean Science, 12(3), 647–662. http://doi.org/10.5194/os-12-647-2016

Lelli, L., Weber, M., & Burrows, J. P. (2016). Evaluation of SCIAMACHY ESA/DLR Cloud Parameters Version 5.02 by Comparisons to Ground-Based and Other Satellite Data. Frontiers in Environmental Science, 4, 43. http://doi.org/10.3389/fenvs.2016.00043

Levinsen, J. F., Simonsen, S. B., Sorensen, L. S., & Forsberg, R. (2016). The Impact of DEM Resolution on Relocating Radar Altimetry Data Over Ice Sheets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(7), 3158–3163. http://doi.org/10.1109/JSTARS.2016.2587684

Loew, A., Andersson, A., Trentmann, J., & Schrӧder, M. (2016). Assessing Surface Solar Radiation Fluxes in the CMIP Ensembles. Journal of Climate, JCLI-D-14-00503.1. http://doi.org/10.1175/JCLI-D-14-00503.1

Maes, K., Vandenbussche, S., Klüser, L., Kumps, N., & de Mazière, M. (2016). Vertical Profiling of Volcanic Ash from the 2011 Puyehue Cordón Caulle Eruption Using IASI. Remote Sensing, 8(2), 103. http://doi.org/10.3390/rs8020103

Marcos, M., Marzeion, B., Dangendorf, S., Slangen, A. B. A., Palanisamy, H., & Fenoglio-Marc, L. (2016). Internal Variability Versus Anthropogenic Forcing on Sea Level and Its Components. Surveys in Geophysics, 1–20. http://doi.org/10.1007/s10712-016-9373-3

Massart, S., Agustí-Panareda, A., Heymann, J., Buchwitz, M., Chevallier, F., Reuter, M., … Velazco, V. A. (2016). Ability of the 4-D-Var analysis of the GOSAT BESD XCO2 retrievals to characterize atmospheric CO2 at large and synoptic scales. Atmospheric Chemistry and Physics, 16(3), 1653–1671. http://doi.org/10.5194/acp-16-1653-2016

Massonnet, F., Bellprat, O., Guemas, V., & Doblas-Reyes, F. J. (2016). Using climate models to estimate the quality of global observational data sets. Science (New York, N.Y.), 354(6311), 452–455. http://doi.org/10.1126/science.aaf6369

McNorton, J., Gloor, E., Wilson, C., Hayman, G. D., Gedney, N., Comyn-Platt, E., … Chipperfield, M. P. (2016). Role of regional wetland emissions in atmospheric methane variability. Geophysical Research Letters, 43(21), 11,433-11,444. http://doi.org/10.1002/2016GL070649

Mei, L., Vountas, M., Gómez-Chova, L., Rozanov, V., Jäger, M., Lotz, W., … Hollmann, R. (2016). A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data. Remote Sensing of Environment.http://doi.org/10.1016/j.rse.2016.11.016

Meul, S., Dameris, M., Langematz, U., Abalichin, J., Kerschbaumer, A., Kubin, A., & Oberländer-Hayn, S. (2016). Impact of rising greenhouse gas concentrations on future tropical ozone and UV exposure. Geophysical Research Letters, 43(6), 2919–2927. http://doi.org/10.1002/2016GL067997

Mielonen, T., Hienola, A., Kühn, T., Merikanto, J., Lipponen, A., Bergman, T., … Kokkola, H. (2016). Temperature-dependence of aerosol optical depth over the southeastern US. Atmospheric Chemistry and Physics Discussions, 0, 1–28. http://doi.org/10.5194/acp-2016-625

Nicolai-Shaw, N., Gudmundsson, L., Hirschi, M., & Seneviratne, S. I. (2016). Long-term predictability of soil moisture dynamics at the global scale: Persistence versus large-scale drivers. Geophysical Research Letters, 43(16), 8554–8562. http://doi.org/10.1002/2016GL069847

Pandey, S., Houweling, S., Krol, M., Aben, I., Chevallier, F., Dlugokencky, E. J., … Röckmann, T. (2016). Inverse modeling of GOSAT-retrieved ratios of total column CH4 and CO2 for 2009 and 2010. Atmospheric Chemistry and Physics, 16(8), 5043–5062. http://doi.org/10.5194/acp-16-5043-2016

Parker, R. J., Boesch, H., Wooster, M. J., Moore, D. P., Webb, A. J., Gaveau, D., & Murdiyarso, D. (2016). Atmospheric CH4 and CO2 enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes. Atmospheric Chemistry and Physics, 16(15), 10111–10131. http://doi.org/10.5194/acp-16-10111-2016

Passaro, M., Dinardo, S., Quartly, G. D., Snaith, H. M., Benveniste, J., Cipollini, P., & Lucas, B. (2016). Cross-calibrating ALES Envisat and CryoSat-2 Delay–Doppler: A coastal altimetry study in the Indonesian Seas. Advances in Space Research, 58(3), 289–303. http://doi.org/10.1016/j.asr.2016.04.011

Paul, F., Winsvold, S., Kääb, A., Nagler, T., & Schwaizer, G. (2016). Glacier Remote Sensing Using Sentinel-2. Part II: Mapping Glacier Extents and Surface Facies, and Comparison to Landsat 8. Remote Sensing, 8(7), 575. http://doi.org/10.3390/rs8070575

Petrakov, D., Shpuntova, A., Aleinikov, A., Kääb, A., Kutuzov, S., Lavrentiev, I., … Usubaliev, R. (2016). Accelerated glacier shrinkage in the Ak-Shyirak massif, Inner Tien Shan, during 2003–2013. Science of The Total Environment, 562, 364–378. http://doi.org/10.1016/j.scitotenv.2016.03.162

Popp, T., de Leeuw, G., Bingen, C., Brühl, C., Capelle, V., Chedin, A., … Xue, Y. (2016). Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci). Remote Sensing, 8(5), 421. http://doi.org/10.3390/rs8050421

Prodhomme, C., Batté, L., Massonnet, F., Davini, P., Bellprat, O., Guemas, V., … Doblas-Reyes, F. J. (2016). Benefits of Increasing the Model Resolution for the Seasonal Forecast Quality in EC-Earth. Journal of Climate, 29(24), 9141–9162. http://doi.org/10.1175/JCLI-D-16-0117.1

Ragettli, S., Bolch, T., & Pellicciotti, F. (2016). Heterogeneous glacier thinning patterns over the last 40 years in Langtang Himal, Nepal. The Cryosphere, 10(5), 2075–2097. http://doi.org/10.5194/tc-10-2075-2016

Raj, R. P., Johannessen, J. A., Eldevik, T., Nilsen, J. E. Ø., & Halo, I. (2016). Quantifying mesoscale eddies in the Lofoten Basin. Journal of Geophysical Research: Oceans, 121(7), 4503–4521. http://doi.org/10.1002/2016JC011637

Rastner, P., Joerg, P. C., Huss, M., & Zemp, M. (2016). Historical analysis and visualization of the retreat of Findelengletscher, Switzerland, 1859–2010. Global and Planetary Change, 145, 67–77. http://doi.org/10.1016/j.gloplacha.2016.07.005

Rees, A. P., Tait, K., Widdicombe, C. E., Quartly, G. D., McEvoy, A. J., & Al-Moosawi, L. (2016). Metabolically active, non-nitrogen fixing, Trichodesmium in UK coastal waters during winter. Journal of Plankton Research, 38(3), 673–678. http://doi.org/10.1093/plankt/fbv123

Reuter, M., Buchwitz, M., Hilker, M., Heymann, J., Bovensmann, H., Burrows, J. P., … Reichstein, M. (2016). How much CO 2 is taken up by the European terrestrial biosphere? Bulletin of the American Meteorological Society, BAMS-D-15-00310.1. http://doi.org/10.1175/BAMS-D-15-00310.1

Robert, C. É., Bingen, C., Vanhellemont, F., Mateshvili, N., Dekemper, E., Tétard, C., … Zehner, C. (2016). AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 2: Intercomparisons. Atmospheric Measurement Techniques, 9(9), 4701–4718. http://doi.org/10.5194/amt-9-4701-2016

Robson, B., Hölbling, D., Nuth, C., Stozzi, T., & Dahl, S. (2016). Decadal Scale Changes in Glacier Area in the Hohe Tauern National Park (Austria) Determined by Object-Based Image Analysis. Remote Sensing, 8(1), 67. http://doi.org/10.3390/rs8010067

Rodríguez-Fernández, N., Kerr, Y., van der Schalie, R., Al-Yaari, A., Wigneron, J.-P., de Jeu, R., … Drusch, M. (2016). Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data. Remote Sensing, 8(11), 959. http://doi.org/10.3390/rs8110959

Roxy, M. K., Modi, A., Murtugudde, R., Valsala, V., Panickal, S., Prasanna Kumar, S., … Lévy, M. (2016). A reduction in marine primary productivity driven by rapid warming over the tropical Indian Ocean. Geophysical Research Letters, 43(2), 826–833. http://doi.org/10.1002/2015GL066979

Rudenko, S., Dettmering, D., Esselborn, S., Fagiolini, E., & Schöne, T. (2016). Impact of Atmospheric and Oceanic De-aliasing Level-1B (AOD1B) products on precise orbits of altimetry satellites and altimetry results. Geophysical Journal International, 204(3), 1695–1702. http://doi.org/10.1093/gji/ggv545

Schalie, R. va. der, Kerr, Y. H., Wigneron, J. P., Rodríguez-Fernández, N. J., Al-Yaari, A., & Jeu, R. A. M. d. (2016). Global SMOS Soil Moisture Retrievals from The Land Parameter Retrieval Model. International Journal of Applied Earth Observation and Geoinformation, 45, 125–134. http://doi.org/10.1016/j.jag.2015.08.005

Schellenberger, T., Van Wychen, W., Copland, L., Kääb, A., & Gray, L. (2016). An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data. Remote Sensing, 8(9), 785. http://doi.org/10.3390/rs8090785

Schwegmann, S., Rinne, E., Ricker, R., Hendricks, S., & Helm, V. (2016). About the consistency between Envisat and CryoSat-2 radar freeboard retrieval over Antarctic sea ice. Cryosphere, 10(4), 1415–1425. http://doi.org/10.5194/tc-10-1415-2016

Shutler, J. D., Quartly, G. D., Donlon, C. J., Sathyendranath, S., Platt, T., Chapron, B., … Høyer, J. L. (2016). Progress in satellite remote sensing for studying physical processes at the ocean surface and its borders with the atmosphere and sea-ice.

Smyth, T., Quartly, G., Jackson, T., Tarran, G., Woodward, M., Harris, C., … Rees, A. (2016). Determining Atlantic Ocean province contrasts and variations. Progress in Oceanography. http://doi.org/10.1016/j.pocean.2016.12.004

Srivastava, P. K., Petropoulos, G. P., & Kerr, Y. H. (2016). Satellite soil moisture retrieval : techniques and applications. (Prashant Srivastava George Petropoulos Y.H. Kerr, Ed.). Elsevier. Retrieved from https://www.elsevier.com/books/satellite-soil-moisture-retrieval/srivast...

Staneva, J., Wahle, K., Koch, W., Behrens, A., Fenoglio-Marc, L., & Stanev, E. V. (2016). Coastal flooding: impact of waves on storm surge during extremes. A case study for the German Bight. Natural Hazards and Earth System Sciences Discussions, 16(July), 1–37. http://doi.org/10.5194/nhess-2016-227

Su, C. H., Ryu, D., Dorigo, W., Zwieback, S., Gruber, A., Albergel, C., … Wagner, W. (2016). Homogeneity of a global multisatellite soil moisture climate data record. Geophysical Research Letters, 43(21), 11,245-11,252. http://doi.org/10.1002/2016GL070458

Treichler, D., & Kääb, A. (2016). ICESat laser altimetry over small mountain glaciers. The Cryosphere, 10(5), 2129–2146. http://doi.org/10.5194/tc-10-2129-2016

Turner, A. J., Jacob, D. J., Benmergui, J., Wofsy, S. C., Maasakkers, J. D., Butz, A., … Biraud, S. C. (2016). A large increase in U.S. methane emissions over the past decade inferred from satellite data and surface observations. Geophysical Research Letters, 43(5), 2218–2224. http://doi.org/10.1002/2016GL067987

Vanhellemont, F., Mateshvili, N., Blanot, L., Robert, C. É., Bingen, C., Sofieva, V., … Zehner, C. (2016). AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 1: Algorithm description. Atmospheric Measurement Techniques, 9(9), 4687–4700. http://doi.org/10.5194/amt-9-4687-2016

von Schuckmann, K., Palmer, M. D., Trenberth, K. E., Cazenave, A., Chambers, D., Champollion, N., … Wild, M. (2016). An imperative to monitor Earth’s energy imbalance. Nature Climate Change, 6(2), 138–144. http://doi.org/10.1038/nclimate2876

Warren, M. A., Quartly, G. D., Shutler, J. D., Miller, P. I., & Yoshikawa, Y. (2016). Estimation of ocean surface currents from maximum cross correlation applied to GOCI geostationary satellite remote sensing data over the Tsushima (Korea) Straits. Journal of Geophysical Research: Oceans, 121(9), 6993–7009. http://doi.org/10.1002/2016JC011814

Webb, A. J., Bösch, H., Parker, R. J., Gatti, L. V, Gloor, E., Palmer, P. I., … Wilson, C. (2016). CH 4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data. Journal of Geophysical Research: Atmospheres, 121(18), 11006–11020. http://doi.org/10.1002/2016JD025263

Wespes, C., Hurtmans, D., Emmons, L. K., Safieddine, S., Clerbaux, C., Edwards, D. P., & Coheur, P.-F. (2016). Ozone variability in the troposphere and the stratosphere from the first 6 years of IASI observations (2008–2013). Atmospheric Chemistry and Physics, 16(9), 5721–5743. http://doi.org/10.5194/acp-16-5721-2016

Winsvold, S. H., Kaab, A., & Nuth, C. (2016). Regional Glacier Mapping Using Optical Satellite Data Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99), 1–14. http://doi.org/10.1109/JSTARS.2016.2527063

Yue, C., Ciais, P., Zhu, D., Wang, T., Peng, S. S., & Piao, S. L. (2016). How have past fire disturbances contributed to the current carbon balance of boreal ecosystems? Biogeosciences, 13(3), 675–690. http://doi.org/10.5194/bg-13-675-2016

Zawadzki, L., & Ablain, M. (2016). Accuracy of the mean sea level continuous record with future altimetric missions: Jason-3 vs. Sentinel-3a. Ocean Science, 12(1), 9–18. http://doi.org/10.5194/os-12-9-2016

Zhou, M., Dils, B., Wang, P., Detmers, R., Yoshida, Y., O'Dell, C. W., … De Mazière, M. (2016). Validation of TANSO-FTS/GOSAT XCO2 and XCH4 glint mode retrievals using TCCON data from near-ocean sites. Atmospheric Measurement Techniques, 9(3), 1415–1430. http://doi.org/10.5194/amt-9-1415-2016

Editorial board and Scope of the Journal. (2016). International Journal of Applied Earth Observation and Geoinformation, 45, IFC. http://doi.org/10.1016/S0303-2434(15)00167-1

2015

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Alexe, M., Bergamaschi, P., Segers, A., Detmers, R., Butz, A., Hasekamp, O., … Kort, E. A. (2015). Inverse modelling of CH4emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY. Atmospheric Chemistry and Physics, 15(1), 113–133. http://doi.org/10.5194/acp-15-113-2015

Allison, I., Colgan, W., King M., P. F. (2015). Ice sheets, glaciers and sea level. In W. Haeberli & C. Whiteman (Eds.), Snow and Ice-Related Hazards, Risks, and Disasters (1st ed., pp. 714–748). Amsterdam, Netherlands: Elsevier. Retrieved from http://store.elsevier.com/Snow-and-Ice-Related-Hazards-Risks-and-Disaste...

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André, C., Ottlé, C., Royer, A., & Maignan, F. (2015). Land surface temperature retrieval over circumpolar Arctic using SSM/I–SSMIS and MODIS data. Remote Sensing of Environment, 162, 1–10. http://doi.org/10.1016/j.rse.2015.01.028

Bellprat, O., Macias-Gómez, D., Prodhomme, C., Guemas, V., & Doblas-Reyes, F. (2015). SEASONAL PREDICTION WITH EC-EARTH 3: IMPACT OF RESOLUTION AND INIITALISATION OF SEA ICE AND LAND SURFACE Seasonal prediction with EC-Earth 3: Resolution and Initialisation of land surface and sea ice Series : CFU Technical Memoranda ® Copyright 2011. Retrieved from https://earth.bsc.es/wiki/lib/exe/fetch.php?media=library:external:cfu_t...

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Brewin, R., Raitsos, D., Dall’Olmo, G., Zarokanellos, N., Jackson, T., Racault, M.-F., … Hoteit, I. (2015, August 1). Regional ocean-colour chlorophyll algorithms for the Red Sea. Remote Sensing of Environment. Elsevier. Retrieved from http://plymsea.ac.uk/6387/

Brewin, R., Sathyendranath, S., Jackson, T., Barlow, R., Brotas, V., Airs, R., & Lamont, T. (2015, October 1). Influence of light in the mixed-layer on the parameters of a three-component model of phytoplankton size class. Remote Sensing of Environment. http://doi.org/10.1016/j.rse.2015.07.004 <http://dx.doi.org/10.1016/j.rse.2015.07.004>

Carbajal Henken, C. K., Doppler, L., Lindstrot, R., Preusker, R., & Fischer, J. (2015). Exploiting the sensitivity of two satellite cloud height retrievals to cloud vertical distribution. Atmospheric Measurement Techniques, 8(8), 2623–2655. http://doi.org/10.5194/amt-8-3419-2015

Coldewey-Egbers, M., Loyola, D. G., Koukouli, M., Balis, D., Lambert, J.-C., Verhoelst, T., … Zehner, C. (2015). The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) data record from the ESA Climate Change Initiative. Atmospheric Measurement Techniques, 8(9), 3923–3940. http://doi.org/10.5194/amt-8-3923-2015

Couhert, A., Cerri, L., Legeais, J.-F., Ablain, M., Zelensky, N. P., Haines, B. J., … Otten, M. (2015). Towards the 1mm/y stability of the radial orbit error at regional scales. Advances in Space Research, 55(1), 2–23. http://doi.org/10.1016/j.asr.2014.06.041

d’Ovidio, F., Della Penna, A., Trull, T. W., Nencioli, F., Pujol, M.-I., Rio, M.-H., … Blain, S. (2015). The biogeochemical structuring role of horizontal stirring: Lagrangian perspectives on iron delivery downstream of the Kerguelen Plateau. Biogeosciences, 12(19), 5567–5581. http://doi.org/10.5194/bg-12-5567-2015

de Leeuw, G., Holzer-Popp, T., Bevan, S., Davies, W. H., Descloitres, J., Grainger, R. G., … Pinnock, S. (2015). Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis. Remote Sensing of Environment, 162, 295–315. http://doi.org/10.1016/j.rse.2013.04.023

de Nijs, A. H. A., Parinussa, R. M., de Jeu, R. A. M., Schellekens, J., & Holmes, T. R. H. (2015). A Methodology to Determine Radio-Frequency Interference in AMSR2 Observations. IEEE Transactions on Geoscience and Remote Sensing, 53(9), 5148–5159. http://doi.org/10.1109/TGRS.2015.2417653

Detmers, R. G., Hasekamp, O., Aben, I., Houweling, S., van Leeuwen, T. T., Butz, A., … Poulter, B. (2015). Anomalous carbon uptake in Australia as seen by GOSAT. Geophysical Research Letters, 42(19), 8177–8184. http://doi.org/10.1002/2015GL065161

Dieng, H. B., Cazenave, A., von Schuckmann, K., Ablain, M., & Meyssignac, B. (2015). Sea level budget over 2005–2013: missing contributions and data errors. Ocean Science, 11(5), 789–802. http://doi.org/10.5194/os-11-789-2015

Dieng, H. B., Palanisamy, H., Cazenave, A., Meyssignac, B., & von Schuckmann, K. (2015). The Sea Level Budget Since 2003: Inference on the Deep Ocean Heat Content. Surveys in Geophysics, 36(2), 209–229. http://doi.org/10.1007/s10712-015-9314-6

Esselborn, S., Schöne, T., & Rudenko, S. (2015). Impact of Time Variable Gravity on Annual Sea Level Variability from Altimetry, 1–8. http://doi.org/10.1007/1345_2015_103

Eyring, V., Righi, M., Evaldsson, M., Lauer, A., Wenzel, S., Jones, C., … Williams, K. D. (2015). ESMValTool (v1.0) – a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP. Geoscientific Model Development Discussions, 8(9), 7541–7661. http://doi.org/10.5194/gmdd-8-7541-2015

Famiglietti, J. S., Cazenave, A., Eicker, A., Reager, J. T., Rodell, M., Velicogna, I., … Wood, E. F. (2015). Satellites provide the big picture. Science (New York, N.Y.), 349(6249), 684–5. http://doi.org/10.1126/science.aac9238

Feng, L., Palmer, P. I., Parker, R. J., Deutscher, N. M., Feist, D. G., Kivi, R., … Sussmann, R. (2015). Elevated uptake of CO2over Europe inferred from GOSAT XCO2 retrievals: a real phenomenon or an artefact of the analysis? Atmospheric Chemistry and Physics Discussions, 15(2), 1989–2011. http://doi.org/10.5194/acpd-15-1989-2015

Fenoglio-Marc, L., Dinardo, S., Scharroo, R., Roland, A., Dutour Sikiric, M., Lucas, B., … Weiss, R. (2015). The German Bight: A validation of CryoSat-2 altimeter data in SAR mode. Advances in Space Research, 55(11), 2641–2656. http://doi.org/10.1016/j.asr.2015.02.014

Fenoglio-Marc, L., Scharroo, R., Annunziato, A., Mendoza, L., Becker, M., & Lillibridge, J. (2015). Cyclone Xaver seen by geodetic observations. Geophysical Research Letters, 42(22), 9925–9932. http://doi.org/10.1002/2015GL065989

Feofilov, A. G., Stubenrauch, C. J., & Delanoë, J. (2015). Ice water content vertical profiles of high-level clouds: classification and impact on radiative fluxes. Atmospheric Chemistry and Physics, 15(21), 12327–12344. http://doi.org/10.5194/acp-15-12327-2015

Fernandes, M. J., Lázaro, C., Ablain, M., & Pires, N. (2015). Improved wet path delays for all ESA and reference altimetric missions. Remote Sensing of Environment, 169, 50–74. http://doi.org/10.1016/j.rse.2015.07.023

Griesfeller, A., Lahoz, W. A., Jeu, R. A. M. d., Dorigo, W., Haugen, L. E., Svendby, T. M., & Wagner, W. (2015). Evaluation of satellite soil moisture products over Norway using ground-based observations. International Journal of Applied Earth Observation and Geoinformation. http://doi.org/10.1016/j.jag.2015.04.016

Gruber, A., Crow, W., Dorigo, W., & Wagner, W. (2015). The potential of 2D Kalman filtering for soil moisture data assimilation. Remote Sensing of Environment, 171, 137–148. http://doi.org/10.1016/j.rse.2015.10.019

Heymann, J., Reuter, M., Hilker, M., Buchwitz, M., Schneising, O., Bovensmann, H., … Wunch, D. (2015). Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm. Atmospheric Measurement Techniques, 8(7), 1787–1832. http://doi.org/10.5194/amt-8-2961-2015

Hollstein, A., Fischer, J., Carbajal Henken, C., & Preusker, R. (2015). Bayesian cloud detection for MERIS, AATSR, and their combination. Atmospheric Measurement Techniques, 8, 1757–1771. http://doi.org/10.5194/amt-8-1757-2015

Holzer, N., Vijay, S., Yao, T., Xu, B., Buchroithner, M., & Bolch, T. (2015). Four decades of glacier variations at Muztagh Ata (eastern Pamir): a multi-sensor study including Hexagon KH-9 and Pléiades data. The Cryosphere, 9(6), 2071–2088. http://doi.org/10.5194/tc-9-2071-2015

Ivanova, N., Pedersen, L. T., Tonboe, R. T., Kern, S., Heygster, G., Lavergne, T., … Shokr, M. (2015). Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations. The Cryosphere, 9(5), 1797–1817. http://doi.org/10.5194/tc-9-1797-2015

Ivanova, N., Rampal, P., & Bouillon, S. (2015). Assessment of error in satellite derived lead fraction in Arctic. The Cryosphere Discussions, 9(6), 6315–6344. http://doi.org/10.5194/tcd-9-6315-2015

Kääb, A., Treichler, D., Nuth, C., & Berthier, E. (2015). Brief Communication: Contending estimates of 2003–2008 glacier mass balance over the Pamir–Karakoram–Himalaya. The Cryosphere, 9(2), 557–564. http://doi.org/10.5194/tc-9-557-2015

Keller, M., Fuhrer, O., Schmidli, J., Stengel, M., Stöckli, R., & Schär, C. (2015). Evaluation of convection-resolving models using satellite data: The diurnal cycle of summer convection over the Alps. Meteorologische Zeitschrift. http://doi.org/10.1127/metz/2015/0715

Keppens, A., Lambert, J.-C., Granville, J., Miles, G., Siddans, R., van Peet, J. C. A., … Zehner, C. (2015). Round-robin evaluation of nadir ozone profile retrievals: methodology and application to MetOp-A GOME-2. Atmospheric Measurement Techniques, 8(5), 2093–2120. http://doi.org/10.5194/amt-8-2093-2015

Kern, S., Khvorostovsky, K., Skourup, H., Rinne, E., Parsakhoo, Z. S., Djepa, V., … Sandven, S. (2015). The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise. The Cryosphere, 9(1), 37–52. http://doi.org/10.5194/tc-9-37-2015

Kim, S., Liu, Y. Y., Johnson, F. M., Parinussa, R. M., & Sharma, A. (2015). A global comparison of alternate AMSR2 soil moisture products: Why do they differ? Remote Sensing of Environment, 161, 43–62. http://doi.org/10.1016/j.rse.2015.02.002

Klüser, L., Di Biagio, C., Kleiber, P. D., Formenti, P., & Grassian, V. H. (2015). Optical properties of non-spherical desert dust particles in the terrestrial infrared – An asymptotic approximation approach. Journal of Quantitative Spectroscopy and Radiative Transfer. http://doi.org/10.1016/j.jqsrt.2015.11.020

Koukouli, M. E., Lerot, C., Granville, J., Goutail, F., Lambert, J.-C., Pommereau, J.-P., … Zehner, C. (2015). Evaluating a new homogeneous total ozone climate data record from GOME/ERS-2, SCIAMACHY/Envisat and GOME-2/MetOp-A. Journal of Geophysical Research: Atmospheres, 120(23), n/a-n/a. http://doi.org/10.1002/2015JD023699

Kronenberg, M., Barandun, M., Hoelzle, M., Huss, M., Farinotti, D., Azisov, E., … Kääb, A. (2015). Mass-balance reconstruction for Glacier No. 354, Tien Shan, from 2003 to 2014. Annals of Glaciology. http://doi.org/10.3189/2016AoG71A032

Kulawik, S. S., Wunch, D., O’Dell, C., Frankenberg, C., Reuter, M., Oda, T., … Wolf, J. (2015). Consistent evaluation of GOSAT, SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON. Atmospheric Measurement Techniques Discussions, 8(6), 6217–6277. http://doi.org/10.5194/amtd-8-6217-2015

Laeng, A., Hubert, D., Verhoelst, T., von Clarmann, T., Dinelli, B. M., Dudhia, A., … Zehner, C. (2015). The ozone climate change initiative: Comparison of four Level-2 processors for the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS). Remote Sensing of Environment. http://doi.org/10.1016/j.rse.2014.12.013

Le Bris, R., & Paul, F. (2015). Glacier-specific elevation changes in parts of western Alaska. Annals of Glaciology, 56(70), 184–192. http://doi.org/10.3189/2015AoG70A227

Le Cozannet, G., Rohmer, J., Cazenave, A., Idier, D., van de Wal, R., de Winter, R., … Oliveros, C. (2015). Evaluating uncertainties of future marine flooding occurrence as sea-level rises. Environmental Modelling & Software, 73, 44–56. http://doi.org/10.1016/j.envsoft.2015.07.021

Lindqvist, H., O’Dell, C. W., Basu, S., Boesch, H., Chevallier, F., Deutscher, N., … Yoshida, Y. (2015). Does GOSAT capture the true seasonal cycle of XCO2? Atmospheric Chemistry and Physics Discussions, 15(12), 16461–16503. http://doi.org/10.5194/acpd-15-16461-2015

Liu, Y. Y., van Dijk, A. I. J. M., de Jeu, R. A. M., Canadell, J. G., McCabe, M. F., Evans, J. P., & Wang, G. (2015). Recent reversal in loss of global terrestrial biomass. Nature Climate Change, advance on. http://doi.org/10.1038/nclimate2581

Massart, S., Agustí-Panareda, A., Heymann, J., Buchwitz, M., Chevallier, F., Reuter, M., … Kivi, R. (2015). Ability of the 4-D-Var analysis of the GOSAT BESD XCO2 retrievals to characterize atmospheric CO2 at large and synoptic scales. Atmospheric Chemistry and Physics Discussions, 15(18), 26273–26313. http://doi.org/10.5194/acpd-15-26273-2015

Mei, L., Rozanov, V., Vountas, M., Burrows, J. P., Levy, R. C., & Lotz, W. (2015). Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results. Remote Sensing of Environment. http://doi.org/10.1016/j.rse.2016.11.015

Melet, A., Meyssignac, B., Melet, A., & Meyssignac, B. (2015). Explaining the Spread in Global Mean Thermosteric Sea Level Rise in CMIP5 Climate Models*. Journal of Climate, 28(24), 9918–9940. http://doi.org/10.1175/JCLI-D-15-0200.1

Mélin, F., & Vantrepotte, V. (2015). How optically diverse is the coastal ocean? Remote Sensing of Environment, 160, 235–251. http://doi.org/10.1016/j.rse.2015.01.023

Mélin, F., & Sclep, G. (2015). Band shifting for ocean color multi-spectral reflectance data. Optics Express, 23(3), 2262–79. http://doi.org/10.1364/OE.23.002262

Miles, G. M., Siddans, R., Kerridge, B. J., Latter, B. G., & Richards, N. A. D. (2015). Tropospheric ozone and ozone profiles retrieved from GOME-2 and their validation. Atmospheric Measurement Techniques, 8(1), 385–398. http://doi.org/10.5194/amt-8-385-2015

Müller, D., Krasemann, H., Brewin, R. J. W., Brockmann, C., Deschamps, P.-Y., Doerffer, R., … Swinton, J. (2015). The Ocean Colour Climate Change Initiative: II. Spatial and temporal homogeneity of satellite data retrieval due to systematic effects in atmospheric correction processors. Remote Sensing of Environment, 162, 257–270. http://doi.org/10.1016/j.rse.2015.01.033

Müller, D., Krasemann, H., Brewin, R. J. W., Brockmann, C., Deschamps, P.-Y., Doerffer, R., … Swinton, J. (2015). The Ocean Colour Climate Change Initiative: I. A methodology for assessing atmospheric correction processors based on in-situ measurements. Remote Sensing of Environment, 162, 242–256. http://doi.org/10.1016/j.rse.2013.11.026

Nagler, T., Rott, H., Hetzenecker, M., Wuite, J., & Potin, P. (2015). The Sentinel-1 Mission: New Opportunities for Ice Sheet Observations. Remote Sensing, 7(7), 9371–9389. http://doi.org/10.3390/rs70709371

Nicolai-Shaw, N., Hirschi, M., Mittelbach, H., & Seneviratne, S. I. (2015). Spatial representativeness of soil moisture using in-situ, remote sensing and land-reanalysis data. Journal of Geophysical Research: Atmospheres, n/a-n/a. http://doi.org/10.1002/2015JD023305

Noël, S., Bramstedt, K., Hilker, M., Liebing, P., Plieninger, J., Reuter, M., … Burrows, J. P. (2015). Stratospheric CH4 and CO2profiles derived from SCIAMACHY solar occultation measurements. Atmospheric Measurement Techniques Discussions, 8(11), 11467–11511. http://doi.org/10.5194/amtd-8-11467-2015

Nuth, C., Hagen, J.O., and Kohler, J. (2015). Glaciers in Geoscience Atlas of Svalbard. In W. K. Dallmann (Ed.), Geoscience Atlas of Svalbard. Norsk Polarinstitutt Rapport; 148, Tromsø. Retrieved from https://books.google.nl/books/about/Geoscience_Atlas_of_Svalbard.html?id...

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Palanisamy, H., Cazenave, A., Henry, O., Prandi, P., & Meyssignac, A. B. (2015). Sea-Level Variations Measured by the New Altimetry Mission SARAL/AltiKa and its Validation Based on Spatial Patterns and Temporal Curves Using Jason-2, Tide Gauge Data and an Overview of the Annual Sea Level Budget. Marine Geodesy, 38(S1), 339–353. http://doi.org/10.1080/01490419.2014.1000469

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Povey, A. C., & Grainger, R. G. (2015). Known and unknown unknowns: Uncertainty estimation in satellite remote sensing. Atmospheric Measurement Techniques, 8(11), 4699–4718. http://doi.org/10.5194/amt-8-4699-2015

Pratola, C., Barrett, B., Gruber, A., & Dwyer, E. (2015). Quality Assessment of the CCI ECV Soil Moisture Product Using ENVISAT ASAR Wide Swath Data over Spain, Ireland and Finland. Remote Sensing, 7(11), 15388–15423. http://doi.org/10.3390/rs71115388

Racault, M.-F., Raitsos, D. E., Berumen, M. L., Brewin, R. J. W., Platt, T., Sathyendranath, S., & Hoteit, I. (2015). Phytoplankton phenology indices in coral reef ecosystems: Application to ocean-color observations in the Red Sea. Remote Sensing of Environment, 160, 222–234. http://doi.org/10.1016/j.rse.2015.01.019

Rahpoe, N., Weber, M., Rozanov, A. V., Weigel, K., Bovensmann, H., Burrows, J. P., … Murtagh, D. P. (2015). Relative drifts and biases between six ozone limb satellite measurements from the last decade. Atmospheric Measurement Techniques, 8(10), 4369–4381. http://doi.org/10.5194/amt-8-4369-2015

Raj, R. P., Chafik, L., Nilsen, J. E. Ø., Eldevik, T., & Halo, I. (2015). The Lofoten Vortex of the Nordic Seas. Deep Sea Research Part I: Oceanographic Research Papers, 96, 1–14. http://doi.org/10.1016/j.dsr.2014.10.011

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Rodríguez, E., Kolmonen, P., Virtanen, T. H., Sogacheva, L., Sundström, A.-M., & de Leeuw, G. (2015). Indirect estimation of absorption properties for fine aerosol particles using AATSR observations: a case study of wildfires in Russia in 2010. Atmospheric Measurement Techniques, 8(8), 3075–3085. http://doi.org/10.5194/amt-8-3075-2015

Sá, C., D’Alimonte, D., Brito, A. C., Kajiyama, T., Mendes, C. R., Vitorino, J., … Brotas, V. (2015). Validation of standard and alternative satellite ocean-color chlorophyll products off Western Iberia. Remote Sensing of Environment, 168, 403–419. http://doi.org/10.1016/j.rse.2015.07.018

Santoro, M., Wegmüller, U., Lamarche, C., Bontemps, S., Defourny, P., & Arino, O. (2015). Strengths and weaknesses of multi-year Envisat ASAR backscatter measurements to map permanent open water bodies at global scale. Remote Sensing of Environment, 171, 185–201. http://doi.org/10.1016/j.rse.2015.10.031

Schwegmann, S., Rinne, E., Ricker, R., Hendricks, S., & Helm, V. (2015). About the consistency between Envisat and CryoSat-2 radar freeboard retrieval over Antarctic sea ice. The Cryosphere Discussions, 9(5), 4893–4923. http://doi.org/10.5194/tcd-9-4893-2015

Serret, P., Robinson, C., Aranguren-Gassis, M., García-Martín, E. E., Gist, N., Kitidis, V., … Thomas, R. (2015). Both respiration and photosynthesis determine the scaling of plankton metabolism in the oligotrophic ocean. Nature Communications, 6, 6961. http://doi.org/10.1038/ncomms7961

Shutler, J. D., Warren, M. A., Miller, P. I., Barciela, R., Mahdon, R., Land, P. E., … Kurekin, A. (2015). Operational monitoring and forecasting of bathing water quality through exploiting satellite Earth observation and models: The AlgaRisk demonstration service. Computers & Geosciences, 77, 87–96. http://doi.org/10.1016/j.cageo.2015.01.010

Thomalla, S. J., Racault, M.-F., Swart, S., & Monteiro, P. M. S. (2015). High-resolution view of the spring bloom initiation and net community production in the Subantarctic Southern Ocean using glider data. ICES Journal of Marine Science, fsv105-. http://doi.org/10.1093/icesjms/fsv105

Turner, A. J., Jacob, D. J., Wecht, K. J., Maasakkers, J. D., Lundgren, E., Andrews, A. E., … Wunch, D. (2015). Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data. Atmospheric Chemistry and Physics, 15(12), 7049–7069. http://doi.org/10.5194/acp-15-7049-2015

Valente, A., Sathyendranath, S., Brotas, V., Groom, S., Grant, M., Taberner, M., … Zibordi, G. (2015, November 8). A compilation of global bio-optical in situ data for ocean-colour satellite applications. PANGAEA. http://doi.org/10.1594/PANGAEA.854832

van der Schalie, R., Parinussa, R. M., Renzullo, L. J., van Dijk, A. I. J. M., Su, C.-H., & de Jeu, R. A. M. (2015). SMOS soil moisture retrievals using the land parameter retrieval model: Evaluation over the Murrumbidgee Catchment, southeast Australia. Remote Sensing of Environment, 163, 70–79. http://doi.org/10.1016/j.rse.2015.03.006

Wang, D., & Kääb, A. (2015). Modeling Glacier Elevation Change from DEM Time Series. Remote Sensing, 7(8), 10117–10142. http://doi.org/10.3390/rs70810117

Worden, J. R., Turner, A. J., Bloom, A., Kulawik, S. S., Liu, J., Lee, M., … Payne, V. H. (2015). Quantifying lower tropospheric methane concentrations using GOSAT near-IR and TES thermal IR measurements. Atmospheric Measurement Techniques, 8(8), 3433–3445. http://doi.org/10.5194/amt-8-3433-2015

Xi, H., Hieronymi, M., Röttgers, R., Krasemann, H., & Qiu, Z. (2015). Hyperspectral Differentiation of Phytoplankton Taxonomic Groups: A Comparison between Using Remote Sensing Reflectance and Absorption Spectra. Remote Sensing, 7(11), 14781–14805. http://doi.org/10.3390/rs71114781

Xu, W., Miller, P. I., Quartly, G. D., & Pingree, R. D. (2015). Seasonality and interannual variability of the European Slope Current from 20years of altimeter data compared with in situ measurements. Remote Sensing of Environment, 162, 196–207. http://doi.org/10.1016/j.rse.2015.02.008

Yue, C., Ciais, P., Cadule, P., Thonicke, K., & van Leeuwen, T. T. (2015). Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 2: Carbon emissions and the role of fires in the global carbon balance. Geoscientific Model Development, 8(5), 1321–1338. http://doi.org/10.5194/gmd-8-1321-2015

Zemp, M., Frey, H., Gärtner-Roer, I., Nussbaumer, S. U., Hoelzle, M., Paul, F., … Vincent, C. (2015). Historically unprecedented global glacier decline in the early 21st century. Journal of Glaciology, 61(228), 745–762. http://doi.org/10.3189/2015JoG15J017

Zhou, M., Dils, B., Wang, P., Detmers, R. G., Yoshida, Y., O’Dell, C. W., … De Mazière, M. (2015). Validation of TANSO-FTS/GOSAT XCO2 and XCH4 glint mode retrievals using TCCON data from near-ocean sites. Atmospheric Measurement Techniques Discussions, 8(10), 10897–10935. http://doi.org/10.5194/amtd-8-10897-2015

Zieger, P., Aalto, P. P., Aaltonen, V., Äijälä, M., Backman, J., Hong, J., … Petäjä, T. (2015). Low hygroscopic scattering enhancement of boreal aerosol and the implications for a columnar optical closure study. Atmospheric Chemistry and Physics, 15(13), 7247–7267. http://doi.org/10.5194/acp-15-7247-2015

Zuo, H., Balmaseda, M. A., & Mogensen, K. (2015). The new eddy-permitting ORAP5 ocean reanalysis: description, evaluation and uncertainties in climate signals. Climate Dynamics, 1–21. http://doi.org/10.1007/s00382-015-2675-1

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Adams, C., Bourassa, A. E., Sofieva, V., Froidevaux, L., McLinden, C. A., Hubert, D., … Degenstein, D. A. (2014). Assessment of Odin-OSIRIS ozone measurements from 2001 to the present using MLS, GOMOS, and ozonesondes. Atmospheric Measurement Techniques, 7(1), 49–64. http://doi.org/10.5194/amt-7-49-2014

Aschmann, J., Burrows, J. P., Gebhardt, C., Rozanov, A., Hommel, R., Weber, M., & Thompson, A. M. (2014). On the hiatus in the acceleration of tropical upwelling since the beginning of the 21st century. Atmospheric Chemistry and Physics, 14(23), 12803–12814. http://doi.org/10.5194/acp-14-12803-2014

Barichivich, J., Briffa, K., Myneni, R., Schrier, G., Dorigo, W., Tucker, C., … Melvin, T. (2014). Temperature and Snow-Mediated Moisture Controls of Summer Photosynthetic Activity in Northern Terrestrial Ecosystems between 1982 and 2011. Remote Sensing, 6(2), 1390–1431. http://doi.org/10.3390/rs6021390

Barrett, B., Nitze, I., Green, S., & Cawkwell, F. (2014). Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches. Remote Sensing of Environment, 152, 109–124. http://doi.org/10.1016/j.rse.2014.05.018

Basu, S., Krol, M., Butz, A., Clerbaux, C., Sawa, Y., Machida, T., … Aben, I. (2014). The seasonal variation of the CO 2 flux over Tropical Asia estimated from GOSAT, CONTRAIL, and IASI. Geophysical Research Letters, 41(5), 1809–1815. http://doi.org/10.1002/2013GL059105

Bojanowski, J., Stöckli, R., Tetzlaff, A., & Kunz, H. (2014). The Impact of Time Difference between Satellite Overpass and Ground Observation on Cloud Cover Performance Statistics. Remote Sensing, 6(12), 12866–12884. http://doi.org/10.3390/rs61212866

Brocca, L., Ciabatta, L., Massari, C., Moramarco, T., Hahn, S., Hasenauer, S., … Levizzani, V. (2014). Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data. Journal of Geophysical Research: Atmospheres, 119(9), 5128–5141. http://doi.org/10.1002/2014JD021489

Bulgin, C. E., Eastwood, S., Embury, O., Merchant, C. J., & Donlon, C. (2014). The Sea Surface Temperature Climate Change Initiative: Alternative Image Classification Algorithms for Sea-Ice Affected Oceans. Remote Sensing of Environment.

Carbajal Henken, C. K., Lindstrot, R., Preusker, R., & Fischer, J. (2014). FAME-C: cloud property retrieval using synergistic AATSR and MERIS observations. Atmospheric Measurement Techniques, 7(11), 3873–3890. http://doi.org/10.5194/amt-7-3873-2014

Cazenave, A., Dieng, H.-B., Meyssignac, B., von Schuckmann, K., Decharme, B., & Berthier, E. (2014). The rate of sea-level rise. Nature Climate Change, advance on. http://doi.org/10.1038/nclimate2159

Chen, T., de Jeu, R. A. M., Liu, Y. Y., van der Werf, G. R., & Dolman, A. J. (2014). Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia. Remote Sensing of Environment, 140, 330–338. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713002800

Chevallier, F., Palmer, P. I., Feng, L., Boesch, H., O’Dell, C. W., & Bousquet, P. (2014). Toward robust and consistent regional CO 2 flux estimates from in situ and spaceborne measurements of atmospheric CO 2. Geophysical Research Letters, 41(3), 1065–1070. http://doi.org/10.1002/2013GL058772

Chiou, E. W., Bhartia, P. K., McPeters, R. D., Loyola, D. G., Coldewey-Egbers, M., Fioletov, V. E., … Frith, S. M. (2014). Comparison of profile total ozone from SBUV (v8.6) with GOME-type and ground-based total ozone for a 16-year period (1996 to 2011). Atmospheric Measurement Techniques, 7(6), 1681–1692. http://doi.org/10.5194/amt-7-1681-2014

Ciavatta, S., Torres, R., Martinez-Vicente, V., Smyth, T., Dall’Olmo, G., Polimene, L., & Allen, J. I. (2014). Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling. Progress in Oceanography. http://doi.org/10.1016/j.pocean.2014.06.002

Coldewey-Egbers, M., Loyola R., D. G., Braesicke, P., Dameris, M., van Roozendael, M., Lerot, C., & Zimmer, W. (2014). A new health check of the ozone layer at global and regional scales. Geophysical Research Letters, n/a-n/a. http://doi.org/10.1002/2014GL060212

Cressot, C., Chevallier, F., Bousquet, P., Crevoisier, C., Dlugokencky, E. J., Fortems-Cheiney, A., … Langenfelds, R. L. (2014). On the consistency between global and regional methane emissions inferred from SCIAMACHY, TANSO-FTS, IASI and surface measurements. Atmospheric Chemistry and Physics, 14(2), 577–592. http://doi.org/10.5194/acp-14-577-2014

de Jeu, R. A. M., Holmes, T. R. H., Parinussa, R. M., & Owe, M. (2014). A spatially coherent global soil moisture product with improved temporal resolution. Journal of Hydrology. http://doi.org/10.1016/j.jhydrol.2014.02.015

Dils, B., Buchwitz, M., Reuter, M., Schneising, O., Boesch, H., Parker, R., … Wunch, D. (2014). The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO2 and CH4 retrieval algorithm products with measurements from the TCCON. Atmospheric Measurement Techniques, 7(6), 1723–1744. http://doi.org/10.5194/amt-7-1723-2014

Diodato, N., Brocca, L., Bellocchi, G., Fiorillo, F., & Guadagno, F. M. (2014). Complexity-reduction modelling for assessing the macro-scale patterns of historical soil moisture in the Euro-Mediterranean region. Hydrological Processes, 28(11), 3752–3760. http://doi.org/10.1002/hyp.9925

Dorigo, W., Chung, D., Parinussa, R.M., Reimer, C., Hahn, S., Liu, Y.Y., Wagner, W., De Jeu, R.A.M., Paulik, C., Wang, G. (2014). Soil Moisture in: “State of the Climate in 2013.” Bull. Amer. Meteor, 95(7), S25–S26. Retrieved from http://journals.ametsoc.org/doi/pdf/10.1175/2014BAMSStateoftheClimate.1

Dorigo, W. A., Gruber, A., De Jeu, R. A. M., Wagner, W., Stacke, T., Loew, A., … Kidd, R. (2014). Evaluation of the ESA CCI soil moisture product using ground-based observations. Remote Sensing of Environment. http://doi.org/10.1016/j.rse.2014.07.023

Ebojie, F., von Savigny, C., Ladstätter-Weißenmayer, A., Rozanov, A., Weber, M., Eichmann, K.-U., … Burrows, J. P. (2014). Tropospheric column amount of ozone retrieved from SCIAMACHY limb–nadir-matching observations. Atmospheric Measurement Techniques, 7(7), 2073–2096. http://doi.org/10.5194/amt-7-2073-2014

Eckert, E., von Clarmann, T., Kiefer, M., Stiller, G. P., Lossow, S., Glatthor, N., … Bernath, P. F. (2014). Drift-corrected trends and periodic variations in MIPAS IMK/IAA ozone measurements. Atmospheric Chemistry and Physics, 14(5), 2571–2589. http://doi.org/10.5194/acp-14-2571-2014

Feng, X., Tsimplis, M. N., Quartly, G. D., & Yelland, M. J. (2014). Wave height analysis from 10 years of observations in the Norwegian Sea. Continental Shelf Research, 72, 47–56. http://doi.org/10.1016/j.csr.2013.10.013

Feng, X., Tsimplis, M. N., Yelland, M. J., & Quartly, G. D. (2014). Changes in significant and maximum wave heights in the Norwegian Sea. Global and Planetary Change, 113, 68–76. http://doi.org/10.1016/j.gloplacha.2013.12.010

Fraser, A., Palmer, P. I., Feng, L., Bösch, H., Parker, R., Dlugokencky, E. J., … Langenfelds, R. L. (2014). Estimating regional fluxes of CO2 and CH4 using space-borne observations of XCH4 : XCO2. Atmospheric Chemistry and Physics, 14, 12883–12895. http://doi.org/10.5194/acp-14-12883-2014

Frey, H., Machguth, H., Huss, M., Huggel, C., Bajracharya, S., Bolch, T., … Stoffel, M. (2014). Estimating the volume of glaciers in the Himalayan–Karakoram region using different methods. The Cryosphere, 8(6), 2313–2333. http://doi.org/10.5194/tc-8-2313-2014

Gebhardt, C., Rozanov, A., Hommel, R., Weber, M., Bovensmann, H., Burrows, J. P., … Thompson, A. M. (2014). Stratospheric ozone trends and variability as seen by SCIAMACHY from 2002 to 2012. Atmospheric Chemistry and Physics, 14(2), 831–846. http://doi.org/10.5194/acp-14-831-2014

Hirschi, M., Mueller, B., Dorigo, W., & Seneviratne, S. I. (2014). Using remotely sensed soil moisture for land–atmosphere coupling diagnostics: The role of surface vs. root-zone soil moisture variability. Remote Sensing of Environment, 154, 246–252. http://doi.org/10.1016/j.rse.2014.08.030

Holmes, T. R. H., Crow, W. T., & de Jeu, R. A. M. (2014). Leveraging Microwave Polarization Information for the Calibration of a Land Data Assimilation System. Geophysical Research Letters, n/a-n/a. http://doi.org/10.1002/2014GL061991

Johannessen, J. A., Raj, R. P., Nilsen, J. E. Ø., Pripp, T., Knudsen, P., Counillon, F., … Koldunov, N. (2014). Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE. Surveys in Geophysics, 35(3), 661–679. http://doi.org/10.1007/s10712-013-9270-y

Kargel, J.S., Leonard, G.J., Bishop, M.P., Kääb, A., Raup, B. H. (Eds. . (2014). Global Land Ice Measurements from Space. (B. H. (Eds. . Kargel, J.S., Leonard, G.J., Bishop, M.P., Kääb, A., Raup, Ed.). Springer Praxis Books. Retrieved from http://www.springer.com/new+&+forthcoming+titles+(default)/book/978-3-540-79817-0

Karlsson, K.-G., & Johansson, E. (2014). Multi-Sensor Calibration Studies of AVHRR-Heritage Channel Radiances Using the Simultaneous Nadir Observation Approach. Remote Sensing, 6(3), 1845–1862. http://doi.org/10.3390/rs6031845

Laeng, A., Grabowski, U., von Clarmann, T., Stiller, G., Glatthor, N., Höpfner, M., … Zawodny, J. (2014). Validation of MIPAS IMK/IAA V5R_O3_224 ozone profiles. Atmospheric Measurement Techniques, 7(11), 3971–3987. http://doi.org/10.5194/amt-7-3971-2014

Lahoz, W. A., & Schneider, P. (2014). Data assimilation: making sense of Earth Observation. Frontiers in Environmental Science, 2. http://doi.org/10.3389/fenvs.2014.00016

Legeais, J.-F., Ablain, M., & Thao, S. (2014). Evaluation of wet troposphere path delays from atmospheric reanalyses and radiometers and their impact on the altimeter sea level. Ocean Science, 10(6), 893–905. http://doi.org/10.5194/os-10-893-2014

MacCallum, S. N., Merchant, C. J., Corlett, G. K., Embury, O., Petrenko, B., Cox, C., & Donlon, C. (2014). The Sea Surface Temperature Climate Change Initiative: Protocol and Outcome for Selecting Sea Surface Temperature Retrieval Methods. Remote Sensing of Environment.

Marzeion, B., Cogley, J. G., Richter, K., & Parkes, D. (2014). Attribution of global glacier mass loss to anthropogenic and natural causes. Science, 345(6199), 919–921. http://doi.org/10.1126/science.1254702

Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., … Donlon, C. (2014). Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal, 1(2), 179–191. http://doi.org/10.1002/gdj3.20

Mouillot, F., Schultz, M. G., Yue, C., Cadule, P., Tansey, K., Ciais, P., & Chuvieco, E. (2014). Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments. International Journal of Applied Earth Observation and Geoinformation, 26, 64–79. Retrieved from http://www.sciencedirect.com/science/article/pii/S0303243413000639

Neckel, N., Kropáček, J., Bolch, T., & Hochschild, V. (2014). Glacier mass changes on the Tibetan Plateau 2003–2009 derived from ICESat laser altimetry measurements. Environmental Research Letters, 9(1), 014009. http://doi.org/10.1088/1748-9326/9/1/014009

Padilla, M., Stehman, S. V., Warrens, M. J., Alonso-Canas, I., Corti, D., Hantson, S., … Chuvieco, E, M. J. (2014). Comparing the Accuracy of Global Burned Area Products: Statistical Methods and Illustrative Results. Remote Sensing of Environment.

Padilla, M., Stehman, S. V., & Chuvieco, E. (2014). Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling. Remote Sensing of Environment, 144, 187–196. http://doi.org/10.1016/j.rse.2014.01.008

Padilla, M., Stehman, S., Litago, J., & Chuvieco, E. (2014). Assessing the Temporal Stability of the Accuracy of a Time Series of Burned Area Products. Remote Sensing, 6(3), 2050–2068. http://doi.org/10.3390/rs6032050

Palanisamy, H., Cazenave, A., Meyssignac, B., Soudarin, L., Wöppelmann, G., & Becker, M. (2014). Regional sea level variability, total relative sea level rise and its impacts on islands and coastal zones of Indian Ocean over the last sixty years. Global and Planetary Change, 116, 54–67. http://doi.org/10.1016/j.gloplacha.2014.02.001

Parinussa, R. M., Wang, G., Holmes, T. R. H., Liu, Y. Y., Dolman, A. J., de Jeu, R. A. M., … Shi, J. (2014). Global surface soil moisture from the Microwave Radiation Imager onboard the Fengyun-3B satellite. International Journal of Remote Sensing, 35(19), 7007–7029. http://doi.org/10.1080/01431161.2014.960622

Parinussa, R. M., Holmes, T. R. H., Wanders, N., Dorigo, W. A., & de Jeu, R. A. M. (2014). A Preliminary Study Towards Consistent Soil Moisture from AMSR2. Journal of Hydrometeorology, 141201123810004. http://doi.org/10.1175/JHM-D-13-0200.1

Passaro, M., Cipollini, P., Vignudelli, S., Quartly, G. D., & Snaith, H. M. (2014). ALES: A multi-mission adaptive subwaveform retracker for coastal and open ocean altimetry. Remote Sensing of Environment, 145, 173–189. http://doi.org/10.1016/j.rse.2014.02.008

Paul, F., & Mölg, N. (2014). Hasty retreat of glaciers in northern Patagonia from 1985 to 2011. Journal of Glaciology. Retrieved from http://www.zora.uzh.ch/101919/1/2014 PaulF_j14j104 .pdf

Pellicciotti, F., Stephan, C., Miles, E., Herreid, S., Immerzeel, W., & Bolch, T. (2014). Mass-balance changes of the debris-covered glaciers in the Langtang Himal, Nepal, between 1974 and 1999. http://doi.org/10.3189/2015JoG13J237

Pfeffer, W., Arendt, A., Bliss, A., & Bolch, T. (2014). The Randolph Glacier Inventory: a globally complete inventory of glaciers. Journal of Glaciology, 60, 537–552. http://doi.org/10.3189/2014JoG13J176

Quartly, G. D. (2014). Metocean Comparisons of Jason-2 and AltiKa—A Method to Develop a New Wind Speed Algorithm. Marine Geodesy. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/01490419.2014.988834

Quartly, G. D., & Passaro, M. (2014). Initial Examination of AltiKa’s Individual Echoes. Marine Geodesy, 38(sup1), 73–85. http://doi.org/10.1080/01490419.2014.984882

Reuter, M., Buchwitz, M., Hilboll, A., Richter, A., Schneising, O., Hilker, M., … Burrows, J. P. (2014). Decreasing emissions of NOx relative to CO2 in East Asia inferred from satellite observations. Nature Geoscience, advance on(11), 792–795. http://doi.org/10.1038/ngeo2257

Reuter, M., Buchwitz, M., Hilker, M., Heymann, J., Schneising, O., Pillai, D., … Sawa, Y. (2014). Satellite-inferred European carbon sink larger than expected. Atmospheric Chemistry and Physics, 14(24), 13739–13753. http://doi.org/10.5194/acp-14-13739-2014

Rudenko, S., Dettmering, D., Esselborn, S., Schöne, T., Förste, C., Lemoine, J.-M., … Neumayer, K.-H. (2014). Influence of time variable geopotential models on precise orbits of altimetry satellites, global and regional mean sea level trends. Advances in Space Research, 54(1), 92–118. http://doi.org/10.1016/j.asr.2014.03.010

Saux Picart, S., Sathyendranath, S., Dowell, M., Moore, T., & Platt, T. (2014). Remote sensing of assimilation number for marine phytoplankton. Remote Sensing of Environment, 146, 87–96. http://doi.org/10.1016/j.rse.2013.10.032

Schneising, O., Reuter, M., Buchwitz, M., Heymann, J., Bovensmann, H., & Burrows, J. P. (2014). Terrestrial carbon sink observed from space: variation of growth rates and seasonal cycle amplitudes in response to interannual surface temperature variability. Atmospheric Chemistry and Physics, 14, 133–141. http://doi.org/10.5194/acp-14-133-2014

Schneising, O., Burrows, J. P., Dickerson, R. R., Buchwitz, M., Reuter, M., & Bovensmann, H. (2014). Remote sensing of fugitive methane emissions from oil and gas production in North American tight geologic formations. Earth’s Future, 2(10), 548–558. http://doi.org/10.1002/2014EF000265

Sevault, F., Somot, S., Alias, A., Dubois, C., Lebeaupin-Brossier, C., Nabat, P., … Decharme, B. (2014). A fully coupled Mediterranean regional climate system model: design and evaluation of the ocean component for the 1980–2012 period. Tellus A: Dynamic Meteorology and Oceanography, 66(1), 23967. http://doi.org/10.3402/tellusa.v66.23967

Sioris, C. E., McLinden, C. A., Fioletov, V. E., Adams, C., Zawodny, J. M., Bourassa, A. E., … Degenstein, D. A. (2014). Trend and variability in ozone in the tropical lower stratosphere over 2.5 solar cycles observed by SAGE II and OSIRIS. Atmospheric Chemistry and Physics, 14(7), 3479–3496. http://doi.org/10.5194/acp-14-3479-2014

Sofieva, V. F., Tamminen, J., Kyrölä, E., Mielonen, T., Veefkind, P., Hassler, B., & Bodeker, G. E. (2014). A novel tropopause-related climatology of ozone profiles. Atmospheric Chemistry and Physics, 14(1), 283–299. http://doi.org/10.5194/acp-14-283-2014

Stengel, M., Mieruch, S., Jerg, M., Karlsson, K.-G., Scheirer, R., Maddux, B., … Hollmann, R. (2014). The Clouds Climate Change Initiative: The assessment of state of the art cloud property retrieval systems applied to AVHRR heritage measurements. Remote Sensing of Environment.

Szczypta, C., Calvet, J.-C., Maignan, F., Dorigo, W., Baret, F., & Ciais, P. (2014). Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts. Geoscientific Model Development, 7(3), 931–946. http://doi.org/10.5194/gmd-7-931-2014

Tramblay, Y., Amoussou, E., Dorigo, W., & Mahé, G. (2014). Flood risk under future climate in data sparse regions: Linking extreme value models and flood generating processes. Journal of Hydrology, 519, 549–558. http://doi.org/10.1016/j.jhydrol.2014.07.052

Valks, P., Hao, N., Gimeno Garcia, S., Loyola, D., Dameris, M., Jöckel, P., & Delcloo, A. (2014). Tropical tropospheric ozone column retrieval for GOME-2. Atmospheric Measurement Techniques, 7(8), 2513–2530. http://doi.org/10.5194/amt-7-2513-2014

van Peet, J. C. A., van der A, R. J., Tuinder, O. N. E., Wolfram, E., Salvador, J., Levelt, P. F., & Kelder, H. M. (2014). Ozone ProfilE Retrieval Algorithm (OPERA) for nadir-looking satellite instruments in the UV–VIS. Atmospheric Measurement Techniques, 7(3), 859–876. http://doi.org/10.5194/amt-7-859-2014

Wecht, K. J., Jacob, D. J., Sulprizio, M. P., Santoni, G. W., Wofsy, S. C., Parker, R., … Worden, J. (2014). Spatially resolving methane emissions in California: constraints from the CalNex aircraft campaign and from present (GOSAT, TES) and future (TROPOMI, geostationary) satellite observations. Atmospheric Chemistry and Physics, 14, 8173–8184. http://doi.org/10.5194/acp-14-8173-2014

Yue, C., Ciais, P., Cadule, P., Thonicke, K., Archibald, S., Poulter, B., … Viovy, N. (2014). Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: simulating historical global burned area and fire regimes. Geoscientific Model Development, 7(6), 2747–2767. http://doi.org/10.5194/gmd-7-2747-2014

Zygmuntowska, M., Rampal, P., Ivanova, N., & Smedsrud, L. H. (2014). Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends. The Cryosphere, 8(2), 705–720. http://doi.org/10.5194/tc-8-705-2014

Atmospheric science: Detecting rainfall from the bottom up. (2014, May 14). Nature, 509(7500), 262–263. http://doi.org/10.1038/509262e

2013

Adams, C., Bourassa, A. E., Bathgate, A. F., McLinden, C. A., Lloyd, N. D., Roth, C. Z., … Degenstein, D. A. (2013). Characterization of Odin-OSIRIS ozone profiles with the SAGE II dataset. Atmospheric Measurement Techniques, 6(5), 1447–1459. http://doi.org/10.5194/amt-6-1447-2013

Albergel, C., Dorigo, W., Balsamo, G., Muñoz-Sabater, J., de Rosnay, P., Isaksen, L., … Wagner, W. (2013). Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses. Remote Sensing of Environment, 138, 77–89. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713002216

Albergel, C., Dorigo, W., Reichle, R. H., Balsamo, G., de Rosnay, P., Muñoz-Sabater, J., … Wagner, W. (2013). Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing. Journal of Hydrometeorology, 14(4), 1259–1277. http://doi.org/10.1175/JHM-D-12-0161.1

Basu, S., Guerlet, S., Butz, A., Houweling, S., Hasekamp, O., Aben, I., … Worthy, D. (2013). Global CO2 fluxes estimated from GOSAT retrievals of total column CO2. Atmospheric Chemistry and Physics, 13(17), 8695–8717. http://doi.org/10.5194/acp-13-8695-2013

Bauer-Marschallinger, B., Dorigo, W. A., Wagner, W., & van Dijk, A. I. J. M. (2013). How Oceanic Oscillation Drives Soil Moisture Variations over Mainland Australia: An Analysis of 32 Years of Satellite Observations. Journal of Climate, 130730135426008. http://doi.org/10.1175/JCLI-D-13-00149.1

Bhambri, R., Bolch, T., Kawishwar, P., Dobhal, D. P., Srivastava, D., & Pratap, B. (2013). Heterogeneity in glacier response in the upper Shyok valley, northeast Karakoram. The Cryosphere, 7(5), 1385–1398. http://doi.org/10.5194/tc-7-1385-2013

Bolch, T., Sandberg Sørensen, L., Simonsen, S. B., Mölg, N., Machguth, H., Rastner, P., & Paul, F. (2013). Mass loss of Greenland’s glaciers and ice caps 2003-2008 revealed from ICESat laser altimetry data. Geophysical Research Letters, 40(5), 875–881. http://doi.org/10.1002/grl.50270

Brewin, R. J. W., Raitsos, D. E., Pradhan, Y., & Hoteit, I. (2013). Comparison of chlorophyll in the Red Sea derived from MODIS-Aqua and in vivo fluorescence. Remote Sensing of Environment, 136, 218–224. Retrieved from http://www.sciencedirect.com/science/article/pii/S003442571300151X

Brewin, R. J. W., Sathyendranath, S., Müller, D., Brockmann, C., Deschamps, P.-Y., Devred, E., … White, G. N. (2013). The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms. Remote Sensing of Environment. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713003519

Brotas, V., Brewin, R. J. W., Sá, C., Brito, A. C., Silva, A., Mendes, C. R., … Sathyendranath, S. (2013). Deriving phytoplankton size classes from satellite data: Validation along a trophic gradient in the eastern Atlantic Ocean. Remote Sensing of Environment, 134, 66–77. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713000540

Buchwitz, M., Reuter, M., Schneising, O., Boesch, H., Guerlet, S., Dils, B., … Yoshida, Y. (2013). The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets. Remote Sensing of Environment. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713003520

Chevallier, F., & O’Dell, C. W. (2013). Error statistics of Bayesian CO 2 flux inversion schemes as seen from GOSAT. Geophysical Research Letters, 40(6), 1252–1256. http://doi.org/10.1002/grl.50228

Crevoisier, C., Nobileau, D., Armante, R., Crépeau, L., Machida, T., Sawa, Y., … Chédin, A. (2013). The 2007–2011 evolution of tropical methane in the mid-troposphere as seen from space by MetOp-A/IASI. Atmospheric Chemistry and Physics, 13(8), 4279–4289. http://doi.org/10.5194/acp-13-4279-2013

Dameris, M., & Jöckel, P. (2013). Numerical Modeling of Climate-Chemistry Connections: Recent Developments and Future Challenges. Atmosphere, 4(2), 132–156. http://doi.org/10.3390/atmos4020132

De Jeu, R. M. (2013). Global Climate, Hydrological Cycle Soil Mositure in “State of the Climate in 2012.” Bull. Amer. Meteor, 94(8), S121–S123.

Fraser, A., Palmer, P. I., Feng, L., Boesch, H., Cogan, A., Parker, R., … Weiss, R. F. (2013). Estimating regional methane surface fluxes: the relative importance of surface and GOSAT mole fraction measurements. Atmospheric Chemistry and Physics, 13(11), 5697–5713. http://doi.org/10.5194/acp-13-5697-2013

Gamba, P., & Lisini, G. (2013). Fast and Efficient Urban Extent Extraction Using ASAR Wide Swath Mode Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(5), 2184–2195. http://doi.org/10.1109/JSTARS.2012.2235410

Gardelle, J., Berthier, E., Arnaud, Y., & Kääb, A. (2013). Region-wide glacier mass balances over the Pamir-Karakoram-Himalaya during 1999–2011. The Cryosphere, 7(4), 1263–1286. http://doi.org/10.5194/tc-7-1263-2013

Gardner, A. S., Moholdt, G., Cogley, J. G., Wouters, B., Arendt, A. A., Wahr, J., … Paul, F. (2013). A reconciled estimate of glacier contributions to sea level rise: 2003 to 2009. Science (New York, N.Y.), 340(6134), 852–7. http://doi.org/10.1126/science.1234532

Griesfeller, Alexandra, Lahoz, William A., Svendby, Tove M., Haugen, Lars E., Wagner, Wolfgang, Dorigo, Wouter, … de Jeu, Richard A. M. (2013). Evaluation of SMOS and ASCAT soil moisture products over Norway using ground-based in situ observations. EGU General Assembly 2013. Retrieved from http://adsabs.harvard.edu/abs/2013EGUGA..15.3897G

Guerlet, S., Basu, S., Butz, A., Krol, M., Hahne, P., Houweling, S., … Aben, I. (2013). Reduced carbon uptake during the 2010 Northern Hemisphere summer from GOSAT. Geophysical Research Letters, 40(10), 2378–2383. http://doi.org/10.1002/grl.50402

Guerlet, S., Butz, A., Schepers, D., Basu, S., Hasekamp, O. P., Kuze, A., … Aben, I. (2013). Impact of aerosol and thin cirrus on retrieving and validating XCO 2 from GOSAT shortwave infrared measurements. Journal of Geophysical Research: Atmospheres, 118(10), 4887–4905. http://doi.org/10.1002/jgrd.50332

Hantson, S., Padilla, M., Corti, D., & Chuvieco, E. (2013). Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence. Remote Sensing of Environment, 131, 152–159. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425712004610

Henry, O., Ablain, M., Meyssignac, B., Cazenave, A., Masters, D., Nerem, S., & Garric, G. (2013). Effect of the processing methodology on satellite altimetry-based global mean sea level rise over the Jason-1 operating period. Journal of Geodesy, 88(4), 351–361. http://doi.org/10.1007/s00190-013-0687-3

Hollmann, R., Merchant, C. J., Saunders, R., Downy, C., Buchwitz, M., Cazenave, A., … Wagner, W. (2013). The ESA Climate Change Initiative: satellite data records for essential climate variables. Bulletin of the American Meteorological Society, 130313072241002. http://doi.org/10.1175/BAMS-D-11-00254.1

Holzer-Popp, T., de Leeuw, G., Griesfeller, J., Martynenko, D., Klüser, L., Bevan, S., … Pinnock, S. (2013). Aerosol retrieval experiments in the ESA Aerosol_cci project. Atmospheric Measurement Techniques, 6(8), 1919–1957. http://doi.org/10.5194/amt-6-1919-2013

Kolmonen, P., Sundström, A.-M., Sogacheva, L., Rodriguez, E., Virtanen, T., & de Leeuw, G. (2013). Uncertainty characterization of AOD for the AATSR dual and single view retrieval algorithms. Atmospheric Measurement Techniques Discussions, 6(2), 4039–4075. http://doi.org/10.5194/amtd-6-4039-2013

Kyrölä, E., Laine, M., Sofieva, V., Tamminen, J., Päivärinta, S.-M., Tukiainen, S., … Thomason, L. (2013). Combined SAGE II–GOMOS ozone profile data set for 1984–2011 and trend analysis of the vertical distribution of ozone. Atmospheric Chemistry and Physics, 13(21), 10645–10658. http://doi.org/10.5194/acp-13-10645-2013

Lahoz, W. A., & De Lannoy, G. J. M. (2013). Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems. Surveys in Geophysics, 1–38. http://doi.org/10.1007/s10712-013-9221-7

Lean, K., Saunders, R. W., Lean, K., & Saunders, R. W. (2013). Validation of the ATSR Reprocessing for Climate (ARC) Dataset Using Data from Drifting Buoys and a Three-Way Error Analysis. Journal of Climate, 26(13), 4758–4772. http://doi.org/10.1175/JCLI-D-12-00206.1

Lerot, C., Van Roozendael, M., Spurr, R., Loyola, D., Coldewey-Egbers, M., Kochenova, S., … Zehner, C. (2013). Homogenized total ozone data records from the European sensors GOME/ERS-2, SCIAMACHY/Envisat and GOME-2/MetOp-A. Journal of Geophysical Research: Atmospheres, n/a-n/a. http://doi.org/10.1002/2013JD020831

Levinsen, J. F., Khvorostovsky, K., Ticconi, F., Shepherd, A., Forsberg, R., Sørensen, L. S., … Kleinherenbrink, M. (2013). ESA’s Ice Sheets CCI: validation and inter-comparison of surface elevation changes derived from laser and radar altimetry over Jakobshavn Isbræ, Greenland – Round Robin results. The Cryosphere Discussions, 7(6), 5433–5460. http://doi.org/10.5194/tcd-7-5433-2013

Li, Y., Xue, Y., de Leeuw, G., Li, C., Yang, L., Hou, T., & Marir, F. (2013). Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data. Remote Sensing of Environment, 133, 1–20. http://doi.org/10.1016/j.rse.2013.01.020

Loew, A., Stacke, T., Dorigo, W., de Jeu, R., & Hagemann, S. (2013). Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies. Hydrology and Earth System Sciences, 17(9), 3523–3542. http://doi.org/10.5194/hess-17-3523-2013

Loew, A. (2013). Terrestrial satellite records for climate studies: how long is long enough? A test case for the Sahel. Theoretical and Applied Climatology, 1–14. http://doi.org/10.1007/s00704-013-0880-6

Meirink, J. F., Roebeling, R. A., & Stammes, P. (2013). Inter-calibration of polar imager solar channels using SEVIRI. Atmospheric Measurement Techniques, 6(9), 2495–2508. http://doi.org/10.5194/amt-6-2495-2013

Melin, F., Zibordi, G., & Holben, B. N. (2013). Assessment of the Aerosol Products From the SeaWiFS and MODIS Ocean-Color Missions. IEEE Geoscience and Remote Sensing Letters, 10(5), 1185–1189. http://doi.org/10.1109/LGRS.2012.2235408

Miralles, D. G., van den Berg, M. J., Gash, J. H., Parinussa, R. M., de Jeu, R. A. M., Beck, H. E., … Johannes Dolman, A. (2013). El Niño–La Niña cycle and recent trends in continental evaporation. Nature Climate Change, advance on. http://doi.org/10.1038/nclimate2068

Monteil, G., Houweling, S., Butz, A., Guerlet, S., Schepers, D., Hasekamp, O., … Röckmann, T. (2013). Comparison of CH 4 inversions based on 15 months of GOSAT and SCIAMACHY observations. Journal of Geophysical Research: Atmospheres, 118(20), 11,807-11,823. http://doi.org/10.1002/2013JD019760

Muñoz, A. A., Barichivich, J., Christie, D. A., Dorigo, W., Sauchyn, D., González-Reyes, Á., … González, M. E. (2013). Patterns and drivers of Araucaria araucana forest growth along a biophysical gradient in the northern Patagonian Andes: Linking tree rings with satellite observations of soil moisture. Austral Ecology, n/a-n/a. http://doi.org/10.1111/aec.12054

Nuth, C., Kohler, J., König, M., von Deschwanden, A., Hagen, J. O., Kääb, A., … Pettersson, R. (2013). Decadal changes from a multi-temporal glacier inventory of Svalbard. The Cryosphere, 7(5), 1603–1621. http://doi.org/10.5194/tc-7-1603-2013

Ottlé, C., Lescure, J., Maignan, F., Poulter, B., Wang, T., & Delbart, N. (2013). Use of various remote sensing land cover products for plant functional type mapping over Siberia. Earth System Science Data, 5(2), 331–348. http://doi.org/10.5194/essd-5-331-2013

Parinussa, R. (2013). Uncertainty characterisation in remotely sensed soil moisture. VU University Amsterdam). Retrieved from http://dare.ubvu.vu.nl/bitstream/handle/1871/41480/dissertation.pdf?sequ...

Parinussa, R. M., Yilmaz, M. T., Anderson, M. C., Hain, C. R., & de Jeu, R. A. M. (2013). An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula. Hydrological Processes, n/a-n/a. http://doi.org/10.1002/hyp.9975

Paul, F., Barrand, N., Baumann, S., Berthier, E., Bolch, T., Casey, K., … Winsvold, S. (2013). On the accuracy of glacier outlines derived from remote-sensing data. Annals of Glaciology. http://doi.org/10.3189/2013AoG63A296 <http://dx.doi.org/10.3189/2013AoG63A296>

Paul, F., Bolch, T., Kääb, A., Nagler, T., Nuth, C., Scharrer, K., … Van Niel, T. (2013). The Glaciers Climate Change Initiative: Algorithms for creating glacier area, elevation change and velocity products. Remote Sensing of Environment. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713003532

Pieczonka, T., Bolch, T., Junfeng, W., & Shiyin, L. (2013). Heterogeneous mass loss of glaciers in the Aksu-Tarim Catchment (Central Tien Shan) revealed by 1976 KH-9 Hexagon and 2009 SPOT-5 stereo imagery. Remote Sensing of Environment, 130, 233–244. Retrieved from http://www.sciencedirect.com/science/article/pii/S003442571200452X

Rahpoe, N., von Savigny, C., Weber, M., Rozanov, A. V., Bovensmann, H., & Burrows, J. P. (2013). Error budget analysis of SCIAMACHY limb ozone profile retrievals using the SCIATRAN model. Atmospheric Measurement Techniques, 6(10), 2825–2837. http://doi.org/10.5194/amt-6-2825-2013

Raitsos, D. E., Pradhan, Y., Brewin, R. J. W., Stenchikov, G., & Hoteit, I. (2013). Remote sensing the phytoplankton seasonal succession of the Red Sea. PloS One, 8(6), e64909. http://doi.org/10.1371/journal.pone.0064909

Rastner, P., Bolch, T., Notarnicola, C., & Paul, F. (2013). A Comparison of Pixel- and Object-Based Glacier Classification With Optical Satellite Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99), 1–10. http://doi.org/10.1109/JSTARS.2013.2274668

Reuter, M., Bösch, H., Bovensmann, H., Bril, A., Buchwitz, M., Butz, A., … Yoshida, Y. (2013). A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA. Atmospheric Chemistry and Physics, 13(4), 1771–1780. http://doi.org/10.5194/acp-13-1771-2013

Richards, N. A. D., Arnold, S. R., Chipperfield, M. P., Miles, G., Rap, A., Siddans, R., … Hollaway, M. J. (2013). The Mediterranean summertime ozone maximum: global emission sensitivities and radiative impacts. Atmospheric Chemistry and Physics, 13(5), 2331–2345. http://doi.org/10.5194/acp-13-2331-2013

Ross, A. N., Wooster, M. J., Boesch, H., & Parker, R. (2013). First satellite measurements of carbon dioxide and methane emission ratios in wildfire plumes. Geophysical Research Letters, 40(15), 4098–4102. http://doi.org/10.1002/grl.50733

Santoro, M., & Wegmuller, U. (2013). Multi-temporal Synthetic Aperture Radar Metrics Applied to Map Open Water Bodies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99), 1–14. http://doi.org/10.1109/JSTARS.2013.2289301

Schneising, O., Heymann, J., Buchwitz, M., Reuter, M., Bovensmann, H., & Burrows, J. P. (2013). Anthropogenic carbon dioxide source areas observed from space: assessment of regional enhancements and trends. Atmospheric Chemistry and Physics, 13(5), 2445–2454. http://doi.org/10.5194/acp-13-2445-2013

Sofieva, V. F., Rahpoe, N., Tamminen, J., Kyrölä, E., Kalakoski, N., Weber, M., … Zehner, C. (2013). Harmonized dataset of ozone profiles from satellite limb and occultation measurements. Earth System Science Data, 5(2), 349–363. http://doi.org/10.5194/essd-5-349-2013

Sonkaew, T., von Savigny, C., Eichmann, K.-U., Weber, M., Rozanov, A., Bovensmann, H., … Grooß, J.-U. (2013). Chemical ozone losses in Arctic and Antarctic polar winter/spring season derived from SCIAMACHY limb measurements 2002–2009. Atmospheric Chemistry and Physics, 13(4), 1809–1835. http://doi.org/10.5194/acp-13-1809-2013

Spurr, R., Natraj, V., Lerot, C., Van Roozendael, M., & Loyola, D. (2013). Linearization of the Principal Component Analysis method for radiative transfer acceleration: Application to retrieval algorithms and sensitivity studies. Journal of Quantitative Spectroscopy and Radiative Transfer, 125, 1–17. Retrieved from http://www.sciencedirect.com/science/article/pii/S0022407313001362

Sussmann, R., Ostler, A., Forster, F., Rettinger, M., Deutscher, N. M., Griffith, D. W. T., … Patra, P. K. (2013). First intercalibration of column-averaged methane from the Total Carbon Column Observing Network and the Network for the Detection of Atmospheric Composition Change. Atmospheric Measurement Techniques, 6(2), 397–418. http://doi.org/10.5194/amt-6-397-2013

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Ablain, M., Philipps, S., Urvoy, M., Tran, N., & Picot, N. (2012). Detection of Long-Term Instabilities on Altimeter Backscatter Coefficient Thanks to Wind Speed Data Comparisons from Altimeters and Models. Marine Geodesy, 35(sup1), 258–275. http://doi.org/10.1080/01490419.2012.718675

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