Ocean Colour

Data

Access to several options, including FTP and the Composite Browser, is available via http://www.oceancolour.org.

The data can be directly downloaded using an FTP client using the following details:

FTP server: oceancolour.org
Username: oc-cci-data
Password: ELaiWai8ae

Support is available from help@esa-oceancolour-cci.org

Some people have reported that the Mac FTP client has trouble with files bigger than 4GB. If you look at the monthly composites directory and the files there appear to be around 500-600MB rather than ~4.5GB, you're affected by this problem. If you attempt to download, you'll get ~500MB corrupt files. So you'll need to use an alternative FTP client or the terminal.

If you’re interested in downloading a subset of the dataset then THREDDS provides several options. As an example, the NetCDF subset service allows for a spatial and / or temporal subset to be extracted.

From https://rsg.pml.ac.uk/thredds/catalog-cci.html, first choose the temporal composites required (daily, 8day or monthly) and then access Option 5, which is NetcdfSubset. Now choose the products, Latitude / Longitude subset and time subset options. Then press Submit at the bottom of the page.

If you receive an error message then it’s likely you’re trying to download too much data in one block – files cannot be larger than 4GB. The Stride parameter can be set to a value greater than 1 if you only want every nth value.

The output is a single NetCDF file and so this method will become unwieldy for large areas / time periods.If you’d prefer binary or ASCII data then choose Option 1, which is OPeNDAP.

To browse the data in an interactive viewer, the Web GIS Portal (http://www.oceancolour.org/portal) is an option that can produce plots / graphics of the data, as well as export layers. First select the product(s) that you’re interested in, then select ‘Analysis’ that should be in the top right hand corner and choose what you’d like to do.

Citing Ocean Colour CCI information and data products

All Ocean Colour CCI products are free and open. However, we request all users to acknowledge the source of the data, whenever publishing any work based on them.

Acknowledgement

Please include a general statement acknowledging OC-CCI data and/or assistance in the acknowledgement section of any article.

In addition, please cite the following references, as appropriate:

References

The correct reference for OC-CCI products is:

Sathyendranath, S, Brewin, RJW, Brockmann, C, Brotas, V, Calton, B, Chuprin, A, Cipollini, P, Couto, AB, Dingle, J, Doerffer, R, Donlon, C, Dowell, M, Farman, A, Grant, M, Groom, S, Horseman, A, Jackson, T, Krasemann, H, Lavender, S, Martinez-Vicente, V, Mazeran, C, Mélin, F, Moore, TS, Müller, D, Regner, P, Roy, S, Steele, CJ, Steinmetz, F, Swinton, J, Taberner, M, Thompson, A, Valente, A, Zühlke, M, Brando, VE, Feng, H, Feldman, G, Franz, BA, Frouin, R, Gould, Jr., RW, Hooker, SB, Kahru, M, Kratzer, S, Mitchell, BG, Muller-Karger, F, Sosik, HM, Voss, KJ, Werdell, J, and Platt, T (2019) An ocean-colour time series for use in climate studies: the experience of the Ocean-Colour Climate Change Initiative (OC-CCI). Sensors: 19, 4285. doi:10.3390/s19194285

Digital Object Identifier (DOI)

In addition, each version of OC-CCI products has its own DOI. Please provide reference to the appropriate DOI:

Version 5.0:

Sathyendranath, S.; Jackson, T.; Brockmann, C.; Brotas, V.; Calton, B.; Chuprin, A.; Clements, O.; Cipollini, P.; Danne, O.; Dingle, J.; Donlon, C.; Grant, M.; Groom, S.; Krasemann, H.; Lavender, S.; Mazeran, C.; Mélin, F.; Müller, D.; Steinmetz, F.; Valente, A.; Zühlke, M.; Feldman, G.; Franz, B.; Frouin, R.; Werdell, J.; Platt, T. (2021): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 5.0 Data. NERC EDS Centre for Environmental Data Analysis, 19 May 2021. doi:10.5285/1dbe7a109c0244aaad713e078fd3059a. http://dx.doi.org/10.5285/1dbe7a109c0244aaad713e078fd3059a

Version 4.2:

Sathyendranath, S.; Jackson, T.; Brockmann, C.; Brotas, V.; Calton, B.; Chuprin, A.; Clements, O.; Cipollini, P.; Danne, O.; Dingle, J.; Donlon, C.; Grant, M.; Groom, S.; Krasemann, H.; Lavender, S.; Mazeran, C.; Mélin, F.; Moore, T.S.; Müller, D.; Regner, P.; Steinmetz, F.; Steele, C.; Swinton, J.; Valente, A.; Zühlke, M.; Feldman, G.; Franz, B.; Frouin, R.; Werdell, J.; Platt, T. (2020): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 4.2. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/99348189bd33459cbd597a58c30d8d10

Version 3.1:

Sathyendranath, S.; Grant, M.; Brewin, R.J.W.; Brockmann, C.; Brotas, V.; Chuprin, A.; Doerffer, R.; Dowell, M.; Farman, A.; Groom, S.; Jackson, T.; Krasemann, H.; Lavender, S.; Martinez Vicente, V.; Mazeran, C.; Mélin, F.; Moore, T.S.; Müller, D.; Platt, T.; Regner, P.; Roy, S.; Steinmetz, F.; Swinton, J.; Valente, A.; Zühlke, M.; Antoine, D.; Arnone, R.; Balch, W.M.; Barker, K.; Barlow, R.; Bélanger, S.; Berthon, J.-F.; Beşiktepe, Ş.; Brando, V.E.; Canuti, E.; Chavez, F.; Claustre, H.; Crout, R.; Feldman, G.; Franz, B.; Frouin, R.; García-Soto, C.; Gibb, S.W.; Gould, R.; Hooker, S.; Kahru, M.; Klein, H.; Kratzer, S.; Loisel, H.; McKee, D.; Mitchell, B.G.; Moisan, T.; Muller-Karger, F.; O'Dowd, L.; Ondrusek, M.; Poulton, A.J.; Repecaud, M.; Smyth, T.; Sosik, H.M.; Taberner, M.; Twardowski, M.; Voss, K.; Werdell, J.; Wernand, M.; Zibordi, G. (2018): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 3.1 Data. Centre for Environmental Data Analysis, 04 July 2018. doi:10.5285/9c334fbe6d424a708cf3c4cf0c6a53f5 http://dx.doi.org/10.5285/9c334fbe6d424a708cf3c4cf0c6a53f5

Version 2.0:

Sathyendranath, S, Groom, S, Grant, M, Brewin, RJW, Thompson, A, Chuprin, A, Horseman, A, Jackson, T, Martinez Vicente, V, Platt, T, Brockmann, C, Zühlke, M, Doerffer, R, Valente, A, Brotas, V, Krasemann, H, Müller, D, Dowell, M, Mélin, F, Swinton, J, Farman, A, Lavender, S, Moore, TS, Regner, P, Roy, S, Steinmetz, F, Mazeran, C, Brando, VE, Taberner, M, Antoine, D, Arnone, R, Balch, WM, Barker, K, Barlow, R, Bélanger, S, Berthon, J, Beşiktepe, Ş, Canuti, E, Chavez, F, Claustre, H, Crout, R, Frouin, R, García-Soto, C, Gibb, SW, Gould, R, Hooker, S, Kahru, M, Klein, H, Kratzer, S, Loisel, H, McKee, D, Mitchell, BG, Moisan, T, Feldman, G, Franz, B, Muller-Karger, F, O'Dowd, L, Ondrusek, M, Poulton, AJ, Repecaud, M, Smyth, T, Sosik, HM, Twardowski, M, Voss, K, Werdell, J, Wernand, M, Zibordi, G (2016) ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 2.0 Data. Centre for Environmental Data Analysis, 20 December 2016. doi:10.5285/b0d6b9c5-14ba-499f-87c9-66416cd9a1dc http://dx.doi.org/10.5285/b0d6b9c5-14ba-499f-87c9-66416cd9a1dc

Version 1.0:

Sathyendranath, S, Groom, S, Grant, M, Brewin, RJW, Thompson, A, Chuprin, A, Horseman, A, Jackson, T, Martinez Vicente, V, Platt, T, Brockmann, C, Zühlke, M, Doerffer, R, Valente, A, Brotas, V, Krasemann, H, Müller, D, Dowell, M, Mélin, F, Swinton, J, Farman, A, Lavender, S, Moore, TS, Regner, P, Roy, S, Steinmetz, F, Mazeran, C, Brando, VE, Taberner, M, Antoine, D, Arnone, R, Balch, WM, Barker, K, Barlow, R, Bélanger, S, Berthon, J, Beşiktepe, Ş, Canuti, E, Chavez, F, Claustre, H, Crout, R, Frouin, R, García-Soto, C, Gibb, SW, Gould, R, Hooker, S, Kahru, M, Klein, H, Kratzer, S, Loisel, H, McKee, D, Mitchell, BG, Moisan, T, Feldman, G, Franz, B, Muller-Karger, F, O'Dowd, L, Ondrusek, M, Poulton, AJ, Repecaud, M, Smyth, T, Sosik, HM, Twardowski, M, Voss, K, Werdell, J, Wernand, M, Zibordi, G (2016) ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 1.0 Data. Centre for Environmental Data Analysis, 20 December 2016. doi:10.5285/E32FEB53-5DB1-44BC-8A09-A6275BA99407. http://dx.doi.org/10.5285/E32FEB53-5DB1-44BC-8A09-A6275BA99407

OC-CCI in situ databases

Version 2:

Valente, A, Sathyendranath, S, Brotas, V, Groom, S, Grant, M, Taberner, M, Antoine, D, Arnone, R, Balch, WM, Barker, K Barlow, R, Bélanger, S, Berthon, J-F, Besiktepe, S, Borsheim, Y, Bracher, A, Brando, V, Canuti, E, Chavez, F, Cianca, A, Claustre, H, Clementson, L, Crout, R, Frouin, R, García-Soto, C, Gibb, SW, Gould, R, Hooker, SB, Kahru, M, Kampel, M, Klein, H, Kratzer, S, Kudela, R, Ledesma, J, Loisel, H, Matrai, P, McKee, D, Mitchell, BG, Moisan, T, Muller-Karger, F, O’Dowd, L, Ondrusek, M, Platt, T, Poulton, AJ, Repecaud, M, Schroeder, T, Smyth, T, Smythe-Wright, D, Sosik, HM, Twardowski, M, Vellucci, V, Voss, K, Werdell, J, Wernand, M, Wright, S, and Zibordi, G (2019) A compilation of global bio-optical in situ data for ocean-colour satellite applications – version two. Earth Syst. Sci. Data, 11, 1037–1068. https://doi.org/10.5194/essd-11-1037-2019

Version 1:

Valente, A, Sathyendranath, S, Brotas, V, Groom, S, Grant, M, Taberner, M, Antoine, D, Arnone, R, Balch, W, Barker, K, Barlow, R, Bélanger, S, Berthon, JF, Besiktepe, S, Brando, V, Canuti, E, Chavez, F, Claustre, H, Crout, R, Frouin, R, Garcìa-Soto, C, Gibb, SW, Gould, R, Hooker, S, Kahru, M, Klein, H, Kratzer, S, Loisel, H, McKee, D, Mitchell, BG, Moisan, T, Muller-Karger, F., O'Dowd, L, Ondrusek, M, Poulton, A, Repecaud, M, Smyth, T, Sosik, HM, Twardowski, M, Voss, K, Werdell, J, Wernand, M, Zibordi, G (2016) A compilation of global bio-optical in situ data for ocean-colour satellite applications. Earth Syst. Sci. Data, 8, 235–252, 2016 www.earth-syst-sci-data.net/8/235/2016 doi: 10.5194/essd-8-235-2016

Key Documents

Team

ESA’s Technical Officer for the Ocean Colour CCI project, Dr Paolo Cipollini, is working with an international team brought together under the leadership of Dr Shubha Sathyendranath from Plymouth Marine Laboratory (PML, UK). Shubha leads the scientific programme and is supported by Ben Calton (PML) on project management aspects.

The consortium comprises nine organisations:

• Brockmann Consult (Dr Carsten Brockmann, Dr Dagmar Müller, Dr Ralf Quast)
• CNR (Dr Rosalia Santoleri, Dr Gianluca Volpe, Dr Vittorio Brando)
• FCUL (Prof Vanda Brotas, Dr Andre Valente)
• HYGEOS (Dr François Steinmetz)
• HZG (Dr Hajo Krasemann)
• JRC (Dr Frédéric Mélin)
• Pixalytics (Dr Samantha Lavender)
• PML (Steve Groom, Dr Tom Jackson, Dr Andrei Chuprin)
• Solvo (Dr Constant Mazeran).

Publications

Click on the following links for publications relating to the Ocean Colour project.

2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 and older

2023

Anjaneya, P., Kuttippurath, J., Hareesh Kumar, P.V., Ali, S.M., Raman, M., 2023. Spatio-temporal changes of winter and spring phytoplankton blooms in Arabian sea during the period 1997–2020. Journal of Environmental Management 332, 117435. https://doi.org/10.1016/j.jenvman.2023.117435

Arondekar, A.A., Can, A.A., Lanjewar, M., 2023. Differential Response in Chlorophyll-a Concentration to Seasonal Forcings along the West Coast of India. Annals of the American Association of Geographers 113, 873–890. https://doi.org/10.1080/24694452.2022.2149459

Banerjee, P., 2023. Importance of multiple sources of iron for the upper-ocean biogeochemistry over the northern Indian Ocean. Biogeosciences 20, 2613–2643. https://doi.org/10.5194/bg-20-2613-2023

Belcher, A., Henley, S.F., Hendry, K., Wootton, M., Friberg, L., Dallman, U., Wang, T., Coath, C., Manno, C., 2023. Seasonal cycles of biogeochemical fluxes in the Scotia Sea, Southern Ocean: a stable isotope approach. Biogeosciences 20, 3573–3591. https://doi.org/10.5194/bg-20-3573-2023

Ben-Ezra, T., Reich, T., Tsemel, A., Berman-Frank, I., Lehahn, Y., Sher, D., Suari, Y., Krom, M.D., 2023. Nutrient dynamics across the Israeli coastal shelf: An unusual oligotrophic coastal system. Continental Shelf Research 266, 105103. https://doi.org/10.1016/j.csr.2023.105103

Bi, S., Hieronymi, M., Röttgers, R., 2023. Bio-geo-optical modelling of natural waters. Frontiers in Marine Science 10. DOI: 10.3389/fmars.2023.1196352

Bothale, R.V., Pathakoti, M., Mohammed, S., Shaik, I., P.v., N., D.v., M., Chauhan, P., 2023. Asymmetric distribution of Pan-Antarctic snowmelt under changing Climate: In perspective of natural climatic events and marine biology. Advances in Space Research 71, 3995–4005. https://doi.org/10.1016/j.asr.2022.12.040

Brotas, V., Ferreira, A., Veloso, V., Tracana, A., Poll, V., Guerreiro, C., Tarran, G., Woodward, E., Ribeiro, L., Netting, J., Clewley, D., Groom, S., 2023. Assessing phytoplankton community composition in the Atlantic Ocean from in situ and satellite observations. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2023.1229692

Ćatipović, L., Matić, F., Kalinić, H., Sathyendranath, S., Županović, T., Dingle, J., Jackson, T., 2023. CCGAN as a Tool for Satellite-Derived Chlorophyll a Concentration Gap Reconstruction. Journal of Marine Science and Engineering 11, 1814. https://doi.org/10.3390/jmse11091814

Clerc, C., Bopp, L., Benedetti, F., Vogt, M., Aumont, O., 2023. Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model–data comparison and impact on the ocean carbon cycle. Biogeosciences 20, 869–895. https://doi.org/10.5194/bg-20-869-2023

Costa, R.R., Ferreira, A., de Souza, M.S., Tavano, V.M., Kerr, R., Secchi, E.R., Brotas, V., Dotto, T.S., Brito, A.C., Mendes, C.R.B., 2023. Physical-biological drivers modulating phytoplankton seasonal succession along the Northern Antarctic Peninsula. Environmental Research 231, 116273. https://doi.org/10.1016/j.envres.2023.116273

Fransner, F., Olsen, A., Årthun, M., Counillon, F., Tjiputra, J., Samuelsen, A., Keenlyside, N., 2023. Phytoplankton abundance in the Barents Sea is predictable up to five years in advance. Commun Earth Environ 4, 1–9. https://doi.org/10.1038/s43247-023-00791-9

Giddy, I.S., Nicholson, S.-A., Queste, B.Y., Thomalla, S., Swart, S., 2023. Sea-Ice Impacts Inter-Annual Variability of Phytoplankton Bloom Characteristics and Carbon Export in the Weddell Sea. Geophysical Research Letters 50, e2023GL103695. https://doi.org/10.1029/2023GL103695

Golovchenko, P., Yusup, Y., Liew, J., 2023. Daily Spectral Ocean Surface Albedo due to Small Chlorophyll Concentrations and Cloudy Conditions for 440 nm Wavelength in Coastal Waters. JSM 52, 1101–1120. https://doi.org/10.17576/jsm-2023-5204-06

Gray, P.C., Gronniger, J., Sayvelev, I., Dale, J., Niebergall, A.K., Cassar, N., Windle, A.E., Hunt, D.E., Johnson, Z., Lévy, M., Taylor, C., Bourdin, G., Blawas, A., Lohmann, A., Silsbe, G., Johnston, D.W., 2023a. The Impact of Gulf Stream Frontal Eddies on Ecology and Biogeochemistry near Cape Hatteras. https://doi.org/10.1101/2023.02.22.529409

Gray, P.C., Savelyev, I., Cassar, N., Lévy, M., Boss, E., Lehahn, Y., Bourdin, G., Thompson, K.A., Windle, A., Gronniger, J., Floge, S., Hunt, D.E., Silsbe, G., Johnson, Z.I., Johnston, D.W., 2023b. Evidence for kilometer-scale biophysical features at the Gulf Stream front. https://doi.org/10.1101/2023.09.25.559383

Guo, J., Pan, H., Cao, R., Wang, J., Lv, X., 2023a. Multiple Timescale Variations in Water Transparency in the Eastern China Seas over the Period 1997–2019. Journal of Geophysical Research: Oceans 128, e2022JC019170. https://doi.org/10.1029/2022JC019170

Guo, J., Zhao, Z., Cao, R., Lv, X., 2023b. Regional to global assessments of ocean transparency dynamics from 1997 to 2019. Progress in Oceanography 219, 103165. https://doi.org/10.1016/j.pocean.2023.103165

Gürses, Ö., Oziel, L., Karakuş, O., Sidorenko, D., Völker, C., Ye, Y., Zeising, M., Butzin, M., Hauck, J., 2023. Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3. Geoscientific Model Development 16, 4883–4936. https://doi.org/10.5194/gmd-16-4883-2023

Hernández-Carrasco, I., Rossi, V., Navarro, G., Turiel, A., Bracco, A.,& Orfila, A. (2023). Flow structures with high Lagrangian coherence rate promote diatom blooms in oligotrophic waters. Geophysical Research Letters, 50, e2023GL103688. https://doi. org/10.1029/2023GL103688

Holtrop, T., 2023. An Ocean of Colors (PhD). Vrije Universiteit Amsterdam. https://doi.org/10.5463/thesis.343

Jin, S., Fagherazzi, S., Fichot, C.G., Wu, X., Liu, Y.X., Zheng, X., Zou, T., Xing, Q., 2023. Drivers of suspended sediment dynamics along the shorelines of the Yellow River Delta detected from satellite data. Earth Surface Processes and Landforms 48, 3091–3102. https://doi.org/10.1002/esp.5683

Johnson, E.E., 2023. Impact of subseasonal processes on Aotearoa’s southeast shelf break front (PhD thesis). University of Otago.

Jones-Kellett, A.E., Follows, M.J., 2023. A Lagrangian coherent eddy atlas for biogeochemical applications in the North Pacific Subtropical Gyre. Earth System Science Data Discussions 1–38. https://doi.org/10.5194/essd-2023-425

Jönsson, B.F., Follett, C.L., Bien, J., Dutkiewicz, S., Hyun, S., Kulk, G., Forget, G.L., Müller, C., Racault, M.-F., Hill, C.N., Jackson, T., Sathyendranath, S., 2023a. Using Probability Density Functions to Evaluate Models (PDFEM, v1.0) to compare a biogeochemical model with satellite-derived chlorophyll. Geoscientific Model Development 16, 4639–4657. https://doi.org/10.5194/gmd-16-4639-2023

Jönsson, B.F., Salisbury, J., Atwood, E.C., Sathyendranath, S., Mahadevan, A., 2023b. Dominant timescales of variability in global satellite chlorophyll and SST revealed with a MOving Standard deviation Saturation (MOSS) approach. Remote Sensing of Environment 286, 113404. https://doi.org/10.1016/j.rse.2022.113404

Kahru, M., Lee, Z., Ohman, M.D., 2023. Multidecadal changes in ocean transparency: Decrease in a coastal upwelling region and increase offshore. Limnology and Oceanography 68, 1546–1556. https://doi.org/10.1002/lno.12365

Kaiser, D., Voynova, Y.G., Brix, H., 2023. Effects of the 2018 European heatwave and drought on coastal biogeochemistry in the German Bight. Science of The Total Environment 892, 164316. https://doi.org/10.1016/j.scitotenv.2023.164316

Kim, M.-H., Kim, D.-W., Kim, D., Li, F., Jo, Y.-H., 2023. Estimation of deep-water formation intensity using multi-satellite measurements in the East Sea (Japan sea). Deep Sea Research Part I: Oceanographic Research Papers 194, 103969. https://doi.org/10.1016/j.dsr.2023.103969

Kostadinov, T.S., Robertson Lain, L., Kong, C.E., Zhang, X., Maritorena, S., Bernard, S., Loisel, H., Jorge, D.S.F., Kochetkova, E., Roy, S., Jonsson, B., Martinez-Vicente, V., Sathyendranath, S., 2023. Ocean color algorithm for the retrieval of the particle size distribution and carbon-based phytoplankton size classes using a two-component coated-sphere backscattering model. Ocean Science 19, 703–727. https://doi.org/10.5194/os-19-703-2023

Krishnapriya, M.S., Varikoden, H., Anjaneyan, P., Kuttippurath, J., 2023. Marine heatwaves during the pre-monsoon season and their impact on Chlorophyll-a in the north Indian Ocean in 1982–2021. Marine Pollution Bulletin 197, 115783. https://doi.org/10.1016/j.marpolbul.2023.115783

Kuhn, A.M., Mazloff, M., Dutkiewicz, S., Jahn, O., Clayton, S., Rynearson, T., Barton, A.D., 2023. A Global Comparison of Marine Chlorophyll Variability Observed in Eulerian and Lagrangian Perspectives. Journal of Geophysical Research: Oceans 128, e2023JC019801. https://doi.org/10.1029/2023JC019801

Kunarso et al (2023) No authors Effect of Extreme ENSO and IOD on the Variability of Chlorophyll-a and Sea Surface Temperature in the North and South of Central Java Province. | Ilmu Kelautan: Indonesian Journal of Marine Sciences,10.14710/ik.ijms.28.1.1-11.

Kuttippurath, J., Maishal, S., Anjaneyan, P., Sunanda, N., Chakraborty, K., 2023. Recent changes in atmospheric input and primary productivity in the north Indian Ocean. Heliyon 9, e17940. https://doi.org/10.1016/j.heliyon.2023.e17940

Laliberté, J., Larouche, P., 2023. Chlorophyll-a concentration climatology, phenology, and trends in the optically complex waters of the St. Lawrence Estuary and Gulf. Journal of Marine Systems 238, 103830. https://doi.org/10.1016/j.jmarsys.2022.103830

Li, Q., Jiang, L., Chen, Y., Tang, J., Gao, S., 2023. Absorption-based algorithm for satellite estimating the particulate organic carbon concentration in the global surface ocean. Frontiers in Marine Science 9.

Li, S., Sun, Q., Guo, W., 2023. Variability of DMS in the East China Sea and its response to different ENSO categories. Ecological Indicators 147, 109963. https://doi.org/10.1016/j.ecolind.2023.109963

Liu, T., Shi, Y., Xu, X., Liu, S., Lyu, J., Zhang, S., Yang, G., Ren, C., Sheng, H., Gao, J., 2023. Winter storms drive offshore transport and modulate phytoplankton blooms in Northern Taiwan, China. Journal of Hydrology 627, 130391. https://doi.org/10.1016/j.jhydrol.2023.130391

McCusker, M., Dove, A., Depew, D., Howell, E.T., 2023. Factors affecting Cladophora growth in the eastern basin of Lake Erie: Analysis of a monitoring dataset (2012–2019). Journal of Great Lakes Research 49, 790–808. https://doi.org/10.1016/j.jglr.2023.05.004

Men, J., Chen, X., Hou, X., Tian, J., Song, Q., Tian, L., 2023. OC_3S: An optical classification and spectral scoring system for global waters using UV–visible remote sensing reflectance. ISPRS Journal of Photogrammetry and Remote Sensing 200, 153–172. https://doi.org/10.1016/j.isprsjprs.2023.05.017

Moradi, M., Kabiri, K., 2023. Evaluation of standard ocean colour chlorophyll-a algorithms in the Northern Persian gulf: comparison of magnitude and seasonality. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4-W1-2022, 531–536. https://doi.org/10.5194/isprs-annals-X-4-W1-2022-531-2023

Moradi, M., Zoljoodi, M., 2023. Validation of standard ocean-color chlorophyll-a products in turbid coastal waters: A case study on statistical evaluation and quality control tests in the Persian Gulf. Journal of Marine Systems 240, 103875. https://doi.org/10.1016/j.jmarsys.2023.103875

Munandar, B., Wirasatriya, A., Sugianto, D.N., Susanto, R.D., Purwandana, A., Kunarso, 2023. Distinct mechanisms of chlorophyll-a blooms occur in the Northern Maluku Sea and Sulu Sill revealed by satellite data. Dynamics of Atmospheres and Oceans 102, 101360. https://doi.org/10.1016/j.dynatmoce.2023.101360

Pan, L., Zhan, H., Wang, X., 2023. The south–north equatorial asymmetrical distribution of Chlorophyll in El Niño events in the observations and CMIP6 models. Ocean Modelling 183, 102203. https://doi.org/10.1016/j.ocemod.2023.102203

Pardo, S., Tilstone, G.H., Brewin, R.J.W., Dall’Olmo, G., Lin, J., Nencioli, F., Evers-King, H., Casal, T.G.D., Donlon, C.J., 2023. Radiometric assessment of OLCI, VIIRS, and MODIS using fiducial reference measurements along the Atlantic Meridional Transect. Remote Sensing of Environment 299, 113844. https://doi.org/10.1016/j.rse.2023.113844

Pramlall, S., Jackson, J.M., Konik, M., Costa, M., 2023. Merged Multi-Sensor Ocean Colour Chlorophyll Product Evaluation for the British Columbia Coast. Remote Sensing 15, 687. https://doi.org/10.3390/rs15030687

Punya, P., Kripa, V., Padua, S., Mohamed, K.S., Ranjith, R., Gopika, G., Nameer, P.O., 2023. Impact of tropical cyclone Ockhi on the marine fishery resource assemblages along the Kerala and Tamil Nadu coast, India. Journal of the Marine Biological Association of India 65, 1–16.

Quartly, G.D., Aiken, J., Brewin, R.J.W., Yool, A., 2023. The link between surface and sub-surface chlorophyll-a in the centre of the Atlantic subtropical gyres: a comparison of observations and models. Front in Mar Sci., https://doi.org/10.3389/fmars.2023.1197753

Ramadlanie, F.Y., Indrayanti, E., Handoyo, G., 2023. Penentuan Daerah Upwelling Berdasarkan Indikator Suhu Permukaan Laut dan Klorofil-a di Perairan Selat Sunda Tahun 2010 - 2019. Indonesian Journal of Oceanography 4, 62–73. https://doi.org/10.14710/ijoce.v4i4.15341

Ross, A.C., Stock, C.A., Adcroft, A., Curchitser, E., Hallberg, R., Harrison, M.J., Hedstrom, K., Zadeh, N., Alexander, M., Chen, W., Drenkard, E.J., du Pontavice, H., Dussin, R., Gomez, F., John, J.G., Kang, D., Lavoie, D., Resplandy, L., Roobaert, A., Saba, V., Shin, S.-I., Siedlecki, S., Simkins, J., 2023. A high-resolution physical–biogeochemical model for marine resource applications in the northwest Atlantic (MOM6-COBALT-NWA12 v1.0). Geoscientific Model Development 16, 6943–6985. https://doi.org/10.5194/gmd-16-6943-2023

Roussillon, J., Fablet, R., Gorgues, T., Drumetz, L., Littaye, J., Martinez, E., 2023. A Multi-Mode Convolutional Neural Network to reconstruct satellite-derived chlorophyll-a time series in the global ocean from physical drivers. Frontiers in Marine Science 10.

Ryan-Keogh, T.J., Thomalla, S.J., Chang, N., Moalusi, T., 2023. A new global oceanic multi-model net primary productivity data product. Earth System Science Data 15, 4829–4848. https://doi.org/10.5194/essd-15-4829-2023

Sankar, S., K., S., 2023. Impact of tropical Indian Ocean warming on the surface phytoplankton biomass at two significant coastal upwelling zones in the Arabian Sea. Dynamics of Atmospheres and Oceans 104, 101401. https://doi.org/10.1016/j.dynatmoce.2023.101401

Sathyendranath, S., Brewin, R.J.W., Ciavatta, S., Jackson, T., Kulk, G., Jönsson, B., Vicente, V.M., Platt, T., 2023. Ocean Biology Studied from Space. Surv Geophys 44, 1287–1308. https://doi.org/10.1007/s10712-023-09805-9

Serret, P., Lozano, J., Harris, C. b., Lange, P. k., Tarran, G. a., Tilstone, G. h., Woodward, E. malcolm s., Zubkov, M. v., 2023. Respiration, phytoplankton size and the metabolic balance in the Atlantic gyres. Frontiers in Marine Science 10. https://doi.org/10.3389/fmars.2023.1222895

Shin, H.-K., Kwon, J., Kim, T., 2023. Utilization of blended chlorophyll-a based on geostationary and near-polar orbiting ocean color satellite data: a case study of red tide occurred in the East Sea in 2013, in: Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2023. Presented at the Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2023, SPIE, pp. 153–163. https://doi.org/10.1117/12.2680234

Shunmugapandi, R., Gedam, S., Inamdar, A.B., 2023. Impact of cyclone Ockhi on phytoplankton size classes structure in the Arabian Sea. International Journal of Remote Sensing 0, 1–17. https://doi.org/10.1080/01431161.2023.2229499

Singh, A., Fietz, S., Thomalla, S.J., Sanchez, N., Ardelan, M.V., Moreau, S., Kauko, H.M., Fransson, A., Chierici, M., Ryan-Keogh, T.J., 2023a. Absence of photophysiological response to iron addition in autumn phytoplankton in the Antarctic sea-ice zone. Biogeosciences, 20(14). https://doi.org/10.5194/bg-20-3073-2023

Siswanto, E., Sarker, Md.L.R., Peter, B.N., Takemura, T., Horii, T., Matsumoto, K., Taketani, F., Honda, M.C., 2023. Variations of phytoplankton chlorophyll in the Bay of Bengal: Impact of climate changes and nutrients from different sources. Frontiers in Marine Science 10.

Smith, M.E., Thomalla, S.J., Matlakala, L., 2023. Coccolithophore bloom classification in coastal waters from multi-decade satellite ocean colour data, in: Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES) (2023), Paper HW4C.5. Presented at the Hyperspectral/Multispectral Imaging and Sounding of the Environment, Optica Publishing Group, p. HW4C.5. https://doi.org/10.1364/HMISE.2023.HW4C.5

Ster, L.L., 2023. Estimation of seasonal and inter-annual variations in biomass and phytoplankton composition in the Southern Ocean over the past two decades and evaluation of their ecological consequences (PhD thesis). Sorbonne Université.

Stevenson, M.A., Airs, R.L., Abbott, G.D., 2023. Unprecedented sea-ice minima enhances algal production deposited at the Arctic seafloor. Environ. Res. Lett. 18, 114046. https://doi.org/10.1088/1748-9326/ad044a

Sun, X., Brewin, R.J.W., Sathyendranath, S., Dall’Olmo, G., Airs, R., Barlow, R., Bracher, A., Brotas, V., Kheireddine, M., Lamont, T., Marañón, E., Morán, X.A.G., Raitsos, D.E., Shen, F., Tilstone, G.H., 2023. Coupling ecological concepts with an ocean-colour model: Phytoplankton size structure. Remote Sensing of Environment 285, 113415. https://doi.org/10.1016/j.rse.2022.113415

Sunanda, N., Kuttippurath, J., Chakraborty, A., Peter, R., 2023. Stressors of primary productivity in the north Indian ocean revealed by satellite, reanalysis and CMIP6 data. Progress in Oceanography 219, 103164. https://doi.org/10.1016/j.pocean.2023.103164

Thomalla, S.J., Du Plessis, M., Fauchereau, N., Giddy, I., Gregor, L., Henson, S., Joubert, W.R., Little, H., Monteiro, P.M.S., Mtshali, T., Nicholson, S., Ryan-Keogh, T.J., Swart, S., 2023a. Southern Ocean phytoplankton dynamics and carbon export: insights from a seasonal cycle approach. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 381, 20220068. https://doi.org/10.1098/rsta.2022.0068

Thomalla, S.J., Nicholson, S.-A., Ryan-Keogh, T.J., Smith, M.E., 2023b. Widespread changes in Southern Ocean phytoplankton blooms linked to climate drivers. Nat. Clim. Chang. 13, 975–984. https://doi.org/10.1038/s41558-023-01768-4

Tilstone, G.H., Land, P.E., Pardo, S., Kerimoglu, O., Van der Zande, D., 2023. Threshold indicators of primary production in the north-east Atlantic for assessing environmental disturbances using 21 years of satellite ocean colour. Science of The Total Environment 854, 158757. https://doi.org/10.1016/j.scitotenv.2022.158757

Undap, M.W.B.W., Suryoputro, A.A.D., Wirasatriya, A., 2023. Strong Negative Indian Ocean Dipole Phenomenon in 2016 Reduce the Upwelling Intensity along the Seas of Southern Java. Ecol. Eng. Environ. Technol. 24, 84–95. https://doi.org/10.12912/27197050/172873

van Oostende, M., Hieronymi, M., Krasemann, H., Baschek, B., 2023. Global ocean colour trends in biogeochemical provinces. Frontiers in Marine Science 10.

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

Wijaya, Y.J., Munandar, B., Wisha, U.J., Hidayat, E.F., Rejeki, H.A., Ismunarti, D.H., 2023. The Temporal Trends in Chlorophyll-A Concentration along the Southern Coast of Papua over a 25-year Period, from 1998 to 2022. Ecological Engineering & Environmental Technology Vol. 24, iss. 6. https://doi.org/10.12912/27197050/166582

Xie, Q., Yan, N., Yang, X., Gao, R., Chen, X., Wu, H., Zhao, J., 2023. Synoptic view of an unprecedented red Noctiluca scintillans bloom in the Beibu Gulf, China. Science of The Total Environment 863, 160980. https://doi.org/10.1016/j.scitotenv.2022.160980

Yang, G., Ye, X., Xu, Q., Yin, X., Xu, S., 2023. Sea Surface Chlorophyll-a Concentration Retrieval from HY-1C Satellite Data Based on Residual Network. Remote Sensing 15, 3696. https://doi.org/10.3390/rs15143696

Yang, X., Wynn-Edwards, C., Strutton, P., Shadwick, E., 2023. Drivers of air-sea CO2 flux in the subantarctic zone revealed by time series observations. https://doi.org/10.22541/essoar.169603583.31161857/v1

Ye, M., Li, B., Nie, J., Qian, Y., Yang, L.-L., 2023a. Ca-STANet: Spatiotemporal Attention Network for Chlorophyll-a Prediction With Gap-Filled Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing 61, 1–14. https://doi.org/10.1109/TGRS.2023.3262749

Ye, M., Li, B., Nie, J., Wen, Q., Wei, Z., Yang, L.-L., 2023b. Graph Convolutional Network-Assisted SST and Chl-a Prediction With Multicharacteristics Modeling of Spatio-Temporal Evolution. IEEE Transactions on Geoscience and Remote Sensing 61, 1–14. https://doi.org/10.1109/TGRS.2023.3330517

Yu, S., Bai, Y., He, X., Gong, F., Li, T., 2023. A new merged dataset of global ocean chlorophyll-a concentration for better trend detection. Frontiers in Marine Science 10.

Zhai, F., Liu, Z., Gu, Y., He, S., Hao, Q., Li, P., 2023. Satellite‐Observed Interannual Variations in Sea Surface Chlorophyll‐a Concentration in the Yellow Sea Over the Past Two Decades. Journal of Geophysical Research: Oceans 128. https://doi.org/10.1029/2022JC019528

Zhang, B., Guo, J., Rong, Z., Lv, X., 2023. Variations of Remote-Sensed Forel-Ule Index in the Bohai and Yellow Seas during 1997–2019. Remote Sensing 15, 3487. https://doi.org/10.3390/rs15143487

Zhang, S., Bai, Y., He, X., Yu, S., Song, Z., Gong, F., Zhu, Q., Pan, D., 2023. The carbon sink of the Coral Sea, the world’s second largest marginal sea, weakened during 2006–2018. Science of The Total Environment 872, 162219. https://doi.org/10.1016/j.scitotenv.2023.162219

Zhang, Y., Shen, F., Sun, X., Tan, K., 2023. Marine big data-driven ensemble learning for estimating global phytoplankton group composition over two decades (1997–2020). Remote Sensing of Environment 294, 113596. https://doi.org/10.1016/j.rse.2023.113596

1. Papers published in 2024

Clow, G.L., Lovenduski, N.S., Levy, M.N., Lindsay, K., Kay, J.E., 2024. The utility of simulated ocean chlorophyll observations: a case study with the Chlorophyll Observation Simulator Package (version 1) in CESMv2.2. Geoscientific Model Development 17, 975–995. https://doi.org/10.5194/gmd-17-975-2024

Li, H., Li, X., Song, D., Nie, J., Liang, S., 2024. Prediction on daily spatial distribution of chlorophyll-a in coastal seas using a synthetic method of remote sensing, machine learning and numerical modeling. Science of The Total Environment 910, 168642. https://doi.org/10.1016/j.scitotenv.2023.168642

2022

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

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

Feng, J.; Qiu, Y.; Dong, C.; Ni, X.; Lin, W.; Teng, H.; Pan, A. Interannual Variabilities of the Southern Bay of Bengal Cold Pool Associated with the El Niño–Southern Oscillation. Remote Sens. 2022, 14, 6169. https://doi.org/10.3390/rs14236169

Keerthi, M.G., Prend, C.J., Aumont, O. et al. Annual variations in phytoplankton biomass driven by small-scale physical processes. Nat. Geosci. (2022). https://doi.org/10.1038/s41561-022-01057-3

2021

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

Ferreira, A.; Brotas, V.; Palma, C.; Borges, C.; Brito, A.C. Assessing Phytoplankton Bloom Phenology in Upwelling-Influenced Regions Using Ocean Color Remote Sensing. Remote Sens. 2021, 13, 675. https://doi.org/10.3390/rs13040675

Ford, D.: Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design, Biogeosciences, 18, 509–534, https://doi.org/10.5194/bg-18-509-2021, 2021.

Gittings, John & Raitsos, Dionysios & Brewin, Bob & Hoteit, Ibrahim. (2021). Links between Phenology of Large Phytoplankton and Fisheries in the Northern and Central Red Sea. Remote Sensing. 13. 231. https://doi.org/10.3390/rs13020231

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

Pitarch, J, Bellacicco, M, and Marullo, S, and van der Woerd, HJ (2021) Global maps of Forel-Ule index, hue angle and Secchi disk depth derived from 21 years of monthly ESA Ocean Colour Climate Change Initiative data, Earth System Science Data, 13: (2): 481-490, https://doi.org/doi:10.5194/essd-13-481-2021

Sathyendranath, S.; Jackson, T.; Brockmann, C.; Brotas, V.; Calton, B.; Chuprin, A.; Clements, O.; Cipollini, P.; Danne, O.; Dingle, J.; Donlon, C.; Grant, M.; Groom, S.; Krasemann, H.; Lavender, S.; Mazeran, C.; Mélin, F.; Müller, D.; Steinmetz, F.; Valente, A.; Zühlke, M.; Feldman, G.; Franz, B.; Frouin, R.; Werdell, J.; Platt, T. (2021): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 5.0 Data. NERC EDS Centre for Environmental Data Analysis, 19 May 2021. doi:10.5285/1dbe7a109c0244aaad713e078fd3059a. http://dx.doi.org/10.5285/1dbe7a109c0244aaad713e078fd3059a

Jozef Skakala, Jorn Bruggeman, David Andrew Ford, Sarah L Wakelin, Anıl Akpınar, Tom Hull, Jan Kaiser, Benjamin Roger Loveday, Charlotte Anne June Williams, Stefano Ciavatta - Improved consistency between the modelling of ocean optics, biogeochemistry and physics, and its impact on the North-West European Shelf seas. Earth and Space Science Open Archive (2021/04/21) https://doi.org/10.1002/essoar.10506737.2

Tang, W., Llort, J., Weis, J. et al. Widespread phytoplankton blooms triggered by 2019–2020 Australian wildfires. Nature 597, 370–375 (2021). https://doi.org/10.1038/s41586-

021-03805-8

2020

Baird, M; Chai, F; Ciavatta, S; Dutkiewicz, S; Edwards, C; Evers-King, H; Friedrichs, M; Frolov, S; Gehlen, Ma; Henson, S; Hickman, A; Jahn, O; Jones, E; Kaufman, D; Mélin, F; Mouw, C; Muhling, B; Rousseaux, C; Shulman, I; Wiggert, J. Synergy between Ocean Colour and Biogeochemical/Ecosystem Models. IOCCG Report Number 19 (2020).

Campbell, A.M.; Racault, M.-F.; Goult, S.; Laurenson, A. Cholera Risk: A Machine Learning Approach Applied to Essential Climate Variables. Int. J. Environ. Res. Public Health 2020, 17, 9378. https://doi.org/10.3390/ijerph17249378

Ford, D.: Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design, Biogeosciences, 18, 509–534, https://doi.org/10.5194/bg-18-509-2021, 2021.

Hammond, M.L., Beaulieu, C., Henson, S.A. et al. Regional surface chlorophyll trends and uncertainties in the global ocean. Sci Rep 10, 15273 (2020). https://doi.org/10.1038/s41598-020-72073-9

Keerthi, M. G., Levy, M., Aumont, O., Lengaigne, M., & Antoine, D. (2020). Contrasted contribution of intraseasonal time scales to surface chlorophyll variations in a bloom and an oligotrophic regime. Journal of Geophysical Research: Oceans, 125, e2019JC015701. https://doi.org/10.1029/2019JC015701

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. https://doi.org/10.3390/rs12050826

Pitarch, J.; Bellacicco, M.; Organelli, E.; Volpe, G.; Colella, S.; Vellucci, V.; Marullo, S. Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm. Remote Sens. 2020, 12, 77. https://doi.org/10.3390/rs12010077

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. https://doi.org/10.1364/AO.386252

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

Welch, H., S. Brodie, M.G. Jacox, D. Robinson, C. Wilson, S.J. Bograd, M.J. Oliver, E.L. Hazen (2020), Considerations for transferring an operational dynamic ocean management tool between ocean color products, Remote Sensing of Environment, Volume 242, 111753, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2020.111753

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, https://doi.org/10.1080/2150704X.2020.1754491

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

Eko Siswanto (2020) Temporal variability of satellite-retrieved chlorophyll-a data in Arctic and subarctic ocean regions within the past two decades, International Journal of Remote Sensing, 41: 19, 7427-7445, https://doi.org/10.1080/01431161.2020.1759842

2019

Álvarez, E., Thoms, S., Bracher, A., Liu, Y., & Völker, C. (2019). Modeling photoprotection at global scale: The relative role of nonphotosynthetic pigments, physiological state, and species composition. Global Biogeochemical Cycles, 33, 904– 926. https://doi.org/10.1029/2018GB006101

Mirna Batistić, Damir Viličić, Vedrana Kovačević, Nenad Jasprica, Rade Garić, Héloise Lavigne, Marina Carić, (2019) Occurrence of winter phytoplankton bloom in the open southern Adriatic: Relationship with hydroclimatic events in the Eastern Mediterranean, Continental Shelf Research, Volume 174, Pages 12-25, https://doi.org/10.1016/j.csr.2018.12.011.

Bellacicco, M.; VelluCCI, V.; Scardi, M.; Barbieux, M.; Marullo, S.; D’Ortenzio, F. Quantifying the Impact of Linear Regression Model in Deriving Bio-Optical Relationships: The Implications on Ocean Carbon Estimations. Sensors 2019, 19, 3032.

J.W. Brewin, R.; Ciavatta, S.; Sathyendranath, S.; Skákala, J.; Bruggeman, J.; Ford, D.; Platt, T. The Influence of Temperature and Community Structure on Light Absorption by Phytoplankton in the North Atlantic. Sensors 2019, 19, 4182.

Chacko, N. J (2019) Differential chlorophyll blooms induced by tropical cyclones and their relation to cyclone characteristics and ocean pre-conditions in the Indian Ocean, Earth Syst Sci, 128: 177. https://doi.org/10.1007/s12040-019-1207-5

Ciavatta, S., Kay, S., Brewin, R. J. W., Cox, R., Di Cicco, A., Nencioli, F., et al ( 2019). Ecoregions in the Mediterranean Sea through the reanalysis of phytoplankton functional types and carbon fluxes. Journal of Geophysical Research: Oceans, 124. https://doi.org/10.1029/2019JC015128

Dutkiewicz, S., Hickman, A.E., Jahn, O., Henson, S., Beaulieu, C. and Monier, E., 2019. Ocean colour signature of climate change. Nature communications, 10(1), p.578.

Dilmahamod, A. F., Penven, P., Aguiar‐González, B., Reason, C. J. C., & Hermes, J. C. (2019). A new definition of the South‐East Madagascar Bloom and analysis of its variability. Journal of Geophysical Research: Oceans, 124, 1717– 1735. https://doi.org/10.1029/2018JC014582

Geng, B., Xiu, P., Shu, C., Zhang, W.‐Z., Chai, F., Li, S., & Wang, D. ( 2019). Evaluating the roles of wind‐ and buoyancy flux‐induced mixing on phytoplankton dynamics in the northern and central South China Sea. Journal of Geophysical Research: Oceans, 124, 680– 702. https://doi.org/10.1029/2018JC014170

John A. Gittings, Dionysios E. Raitsos, Malika Kheireddine, Marie-Fanny Racault, Hervé Claustre & Ibrahim Hoteit (2019), Evaluating tropical phytoplankton phenology metrics using contemporary tools (Nature) Scientific Reports, volume 9, Article number: 674, doi:10.1038/s41598-018-37370-4

Francis Gohin, Dimitry Van der Zande, Gavin Tilstone, Marieke A. Eleveld, Alain Lefebvre, Françoise Andrieux-Loyer, Anouk N. Blauw, Philippe Bryère, David Devreker, Philippe Garnesson, Tania Hernández Fariñas, Yoann Lamaury, Luis Lampert, Héloïse Lavigne, Florence Menet-Nedelec, Silvia Pardo, Bertrand Saulquin, (2019) Twenty years of satellite and in situ observations of surface chlorophyll-a from the northern Bay of Biscay to the eastern English Channel. Is the water quality improving?, Remote Sensing of Environment, Volume 233, https://doi.org/10.1016/j.rse.2019.111343.

Groom Steve, Sathyendranath Shubha, Ban Yai, Bernard Stewart, Brewin Robert, Brotas Vanda, Brockmann Carsten, Chauhan Prakash, Choi Jong-kuk, Chuprin Andrei, Ciavatta Stefano, Cipollini Paolo, Donlon Craig, Franz Bryan, He Xianqiang, Hirata Takafumi, Jackson Tom, Kampel Milton, Krasemann Hajo, Lavender Samantha, Pardo-Martinez Silvia, Mélin Frédéric, Platt Trevor, Santoleri Rosalia, Skakala Jozef, Schaeffer Blake, Smith Marie, Steinmetz Francois, Valente Andre, Wang Menghua (2019), Satellite Ocean Colour: Current Status and Future Perspective, Frontiers in Marine Science, 6, doi:10.3389/fmars.2019.00485

Qiang Hao, Fei Chai, Peng Xiu, Yan Bai, Jianfang Chen, Chenggang Liu, Fengfeng Le, Feng Zhou, (2019) Spatial and temporal variation in chlorophyll a concentration in the Eastern China Seas based on a locally modified satellite dataset, Estuarine, Coastal and Shelf Science, Volume 220, Pages 220-231, doi:10.1016/j.ecss.2019.01.004.

Houskeeper, H.F.; Kudela, R.M. Ocean Color Quality Control Masks Contain the High Phytoplankton Fraction of Coastal Ocean Observations. Remote Sens. 2019, 11, 2167.

Joseph, K. A., Jayaram, C., Nair, A., George, M. S., Balchand, A. N., & Pettersson, L. H. (2019). Remote Sensing of Upwelling in the Arabian Sea and Adjacent Near-Coastal Regions. In Remote Sensing of the Asian Seas (pp. 467-483). Springer, Cham.

Kondrik, D., Kazakov, E., and Pozdnyakov, D. (2019), A synthetic satellite dataset of the spatio-temporal distributions of Emiliania huxleyi blooms and their impacts on Arctic and sub-Arctic marine environments (1998–2016), Earth Syst. Sci. Data, 11, 119–128, https://doi.org/10.5194/essd-11-119-2019.

Kong, F.; Dong, Q.; Xiang, K.; Yin, Z.; Li, Y.; Liu, J. (2019) Spatiotemporal Variability of Remote Sensing Ocean Net Primary Production and Major Forcing Factors in the Tropical Eastern Indian and Western Pacific Ocean. Remote Sens., 11, 391.

Krešimir Markulin, Melita Peharda, Regina Mertz-Kraus, Bernd R. Schöne, Hana Uvanović, Žarko Kovač, Ivica Janeković, (2019), Trace and minor element records in aragonitic bivalve shells as environmental proxies, Chemical Geology, Volume 507, Pages 120-133, https://doi.org/10.1016/j.chemgeo.2019.01.008.

Ma, W., Xiu, P., Chai, F. et al. (2019) Seasonal variability of the carbon export in the central South China Sea, Ocean Dynamics 69: 955. https://doi.org/10.1007/s10236-019-01286-y

Menon NN, Sankar S, Smitha A, George G, Shalin S, Sathyendranath S, Platt T (2019) Satellite chlorophyll concentration as an aid to understanding the dynamics of Indian oil sardine in the southeastern Arabian Sea. Mar Ecol Prog Ser 617-618:137-147. https://doi.org/10.3354/meps12806

Evgeny Morozov, DanLing Tang, (2019) Satellite ocean colour algorithm for Prochlorococcus, Synechococcus, and picoeukaryotes concentration retrieval in the South China Sea, Advances in Space Research, Volume 63, Issue 1, https://doi.org/10.1016/j.asr.2018.07.005.

Mouw, C. B., Ciochetto, A. B., & Yoder, J. A. (2019). A satellite assessment of environmental controls of phytoplankton community size structure. Global Biogeochemical Cycles, 33, 540– 558. https://doi.org/10.1029/2018GB006118

K.N. Navaneeth, M.V. Martin, K. Jossia Joseph, R. Venkatesan, (2019) Contrasting the upper ocean response to two intense cyclones in the Bay of Bengal, Deep Sea Research Part I: Oceanographic Research Papers, Volume 147, Pages 65-78, doi:10.1016/j.dsr.2019.03.010.

Daniel K. Okamoto, Stephen Schroeter, Daniel C. Reed (2019) Effects of Ocean Climate on Spatiotemporal Variation in Sea Urchin Settlement and Recruitment, bioRxiv 387282; doi: https://doi.org/10.1101/387282

Julia Oelker, Andreas Richter, Tilman Dinter, Vladimir V. Rozanov, John P. Burrows, and Astrid Bracher (2019), Global diffuse attenuation derived from vibrational Raman scattering detected in hyperspectral backscattered satellite spectra, Opt. Express 27, A829-A855

Jaime Pitarch, Hendrik J. van der Woerd, Robert J.W. Brewin, Oliver Zielinski, (2019) Optical properties of Forel-Ule water types deduced from 15 years of global satellite ocean color observations, Remote Sensing of Environment, 231, doi:10.1016/j.rse.2019.111249.

Eirini Politi, Shona K. Paterson, Rory Scarrott, Eimear Tuohy, Cathal O’Mahony, Walther C.A. Cámaro-García (2019). Earth observation applications for coastal sustainability: potential and challenges for implementation. Anthropocene Coasts, 2019, 2:306-329, https://doi.org/10.1139/anc-2018-0015

Pradhan, H. K., Völker, C., Losa, S. N., Bracher, A., & Nerger, L. ( 2019). Assimilation of global total chlorophyll OC‐CCI data and its impact on individual phytoplankton fields. Journal of Geophysical Research: Oceans, 124, 470– 490. https://doi.org/10.1029/2018JC014329

P.M. Salgado-Hernanz, M.-F. Racault, J.S. Font-Muñoz, G. Basterretxea, (2019) Trends in phytoplankton phenology in the Mediterranean Sea based on ocean-colour remote sensing, Remote Sensing of Environment, Volume 221, Pages 50-64, doi:10.1016/j.rse.2018.10.036.

Sang Heon Lee, Jongseong Ryu, Dabin Lee, Jung-Woo Park, Jae-Il Kwon, Jingping Zhao & Seunghyun Son (2019) Spatial variations of small phytoplankton contributions in the Northern Bering Sea and the Southern Chukchi Sea, GIScience & Remote Sensing, 56:5, 794-810, DOI: 10.1080/15481603.2019.1571265

Smitha A., Syam S., Menon N.N., Pettersson L.H. (2019) Using Remote Sensing to Study Phytoplankton Biomass and Its Influence on Herbivore Fishery in the South-Eastern Arabian Sea. In: Barale V., Gade M. (eds) Remote Sensing of the Asian Seas. Springer, Cham

Thushara, Venugopal, Vinayachandran, Puthenveettil N., Matthews, Adrian, Webber, Benjamin and Queste, Bastien (2019) Vertical distribution of chlorophyll in dynamically distinct regions of the southern Bay of Bengal. Biogeosciences, 16 (7). pp. 1447-1468. ISSN 1726-4189

Ting-Hsuan Huang, Chen-Tung Arthur Chen, Jay Lee, Chau-Ron Wu, You-Lin Wang, Yan Bai, Xianqiang He, Shu-Lun Wang, Selvaraj Kandasamy, Jiann-Yuh Lou, Ben-Jei Tsuang, Hsien-Wen Chen, Ruo-Shan Tseng & Yiing Jang Yang (2019) East China Sea increasingly gains limiting nutrient P from South China Sea, (Nature) Scientific Reports, volume 9, Article number: 5648, doi:10.1038/s41598-019-42020-4

Valente, A., Sathyendranath, S., Brotas, V., Groom, S., Grant, M., Taberner, M., Antoine, D., Arnone, R., Balch, W. M., Barker, K., Barlow, R., Bélanger, S., Berthon, J.-F., Beşiktepe, Ş., Borsheim, Y., Bracher, A., Brando, V., Canuti, E., Chavez, F., Cianca, A., Claustre, H., Clementson, L., Crout, R., Frouin, R., García-Soto, C., Gibb, S. W., Gould, R., Hooker, S. B., Kahru, M., Kampel, M., Klein, H., Kratzer, S., Kudela, R., Ledesma, J., Loisel, H., Matrai, P., McKee, D., Mitchell, B. G., Moisan, T., Muller-Karger, F., O'Dowd, L., Ondrusek, M., Platt, T., Poulton, A. J., Repecaud, M., Schroeder, T., Smyth, T., Smythe-Wright, D., Sosik, H. M., Twardowski, M., VelluCCI, V., Voss, K., Werdell, J., Wernand, M., Wright, S., and Zibordi, G. (2019) A compilation of global bio-optical in situ data for ocean-colour satellite applications – version two, Earth Syst. Sci. Data, 11, 1037–1068, https://doi.org/10.5194/essd-11-1037-2019.

Volpe, G., Colella, S., Brando, V. E., Forneris, V., La Padula, F., Di Cicco, A., Sammartino, M., Bracaglia, M., Artuso, F., and Santoleri, R.: Mediterranean ocean colour Level 3 operational multi-sensor processing, Ocean Sci., 15, 127–146, https://doi.org/10.5194/os-15-127-2019, 2019

Wojtasiewicz Bożena, Trull Thomas W., Clementson Lesley, Davies Diana M., Patten Nicole L., Schallenberg Christina, Hardman-Mountford Nick J. (2019) Factors Controlling the Lack of Phytoplankton Biomass in Naturally Iron Fertilized Waters Near Heard and McDonald Islands in the Southern Ocean, Frontiers in Marine Science, 6 , doi:10.3389/fmars.2019.00531

Changjin Zhao, Joeran Maerz, Richard Hofmeister, Rüdiger Röttgers, Kai Wirtz, Rolf Riethmüller, Corinna Schrum (2019), Characterizing the vertical distribution of chlorophyll a in the German Bight, Continental Shelf Research, Volume 175, Pages 127-146, doi:10.1016/j.csr.2019.01.012.

2018

Álvarez, E., Thoms, S., & Völker, C. ( 2018). Chlorophyll to carbon ratio derived from a global ecosystem model with photodamage. Global Biogeochemical Cycles, 32, 799– 816. https://doi.org/10.1029/2017GB005850

Basterretxea, G., Font-Muñoz, J.S., Salgado-Hernanz, P.M., Arrieta, J. and Hernández-Carrasco, I., 2018. Patterns of chlorophyll interannual variability in Mediterranean biogeographical regions. Remote sensing of environment, 215, pp.7-17.

Balaguru K, Doney SC, Bianucci L, Rasch PJ, Leung LR, Yoon J-H, et al. (2018) Linking deep convection and phytoplankton blooms in the northern Labrador Sea in a changing climate. PLoS ONE 13(1): e0191509. https://doi.org/10.1371/journal.pone.0191509

Bellacicco, M., Volpe, G., Briggs, N., Brando, V., Pitarch, J., Landolfi, A., et al. ( 2018). Global distribution of non‐algal particles from ocean color data and implications for phytoplankton biomass detection. Geophysical Research Letters, 45, 7672– 7682. https://doi.org/10.1029/2018GL078185

Ciavatta, S., Brewin, R. J. W., Skákala, J., Polimene, L., de Mora, L., Artioli, Y., & Allen, J. I. ( 2018). Assimilation of ocean‐color plankton functional types to improve marine ecosystem simulations. Journal of Geophysical Research: Oceans, 123, 834– 854. https://doi.org/10.1002/2017JC013490

Corredor-Acosta, A.; Morales, C.E.; Brewin, R.J.W.; Auger, P.-A.; Pizarro, O.; Hormazabal, S.; Anabalón, V. Phytoplankton Size Structure in Association with Mesoscale Eddies off Central-Southern Chile: The Satellite Application of a Phytoplankton Size-Class Model. Remote Sens. 2018, 10, 834. 

Curran, K.; Brewin, R.J.W.; Tilstone, G.H.; Bouman, H.A.; Hickman, A. Estimation of Size-Fractionated Primary Production from Satellite Ocean Colour in UK Shelf Seas. Remote Sens. 2018, 10, 1389. 

Kirsten N. Fossum, Jurgita Ovadnevaite, Darius Ceburnis, Manuel Dall’Osto, Salvatore Marullo, Marco Bellacicco, Rafel Simó, Dantong Liu, Michael Flynn, Andreas Zuend & Colin O’Dowd, (2018) Summertime Primary and Secondary Contributions to Southern Ocean Cloud Condensation Nuclei (nature) Scientific Reports, volume 8, Article number: 13844 https://doi.org/10.1038/s41598-018-32047-4

John A. Gittings, Dionysios E. Raitsos, George Krokos & Ibrahim Hoteit, (2018), Impacts of warming on phytoplankton abundance and phenology in a typical tropical marine ecosystem, (nature) Scientific Reports, volume 8, Article number: 2240, doi:10.1038/s41598-018-20560-5

Hammond, M. L., Beaulieu, C., Henson, S. A., & Sahu, S. K. ( 2018). Assessing the presence of discontinuities in the ocean color satellite record and their effects on chlorophyll trends and their uncertainties. Geophysical Research Letters, 45, 7654– 7662. https://doi.org/10.1029/2017GL076928

Henson, S.A., Cole, H.S., Hopkins, J., Martin, A.P. and Yool, A., 2018. Detection of climate change‐driven trends in phytoplankton phenology. Global change biology, 24(1), pp.e101-e111.

Kassi, J.-B.; Racault, M.-F.; Mobio, B.A.; Platt, T.; Sathyendranath, S.; Raitsos, D.E.; Affian, K. Remotely Sensing the Biophysical Drivers of Sardinella aurita Variability in Ivorian Waters. Remote Sens. 2018, 10, 785. 

Kondrik, D. V., Pozdnyakov, D. V., & Johannessen, O. M. ( 2018). Satellite evidence that E. huxleyi phytoplankton blooms weaken marine carbon sinks. Geophysical Research Letters, 45, 846– 854. https://doi.org/10.1002/2017GL076240

Kovač, Ž.; Platt, T.; Ninčević Gladan, Ž.; Morović, M.; Sathyendranath, S.; Raitsos, D.E.; Grbec, B.; Matić, F.; Veža, J. A 55-Year Time Series Station for Primary Production in the Adriatic Sea: Data Correction, Extraction of Photosynthesis Parameters and Regime Shifts. Remote Sens. 2018, 10, 1460. 

Kovač, Ž., Platt, T., Sathyendranath, S. and Lomas, M., 2018. Extraction of Photosynthesis Parameters from Time Series Measurements of In Situ Production: Bermuda Atlantic Time-Series Study. Remote Sensing, 10(6), p.915.

Land, P., Bailey, T., Taberner, M., Pardo, S., Sathyendranath, S., Nejabati Zenouz, K., Brammall, V., Shutler, J. and Quartly, G., 2018. A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour. Remote Sensing, 10(5), p.695.

Lavigne, H., Civitarese, G., Gačić, M., & D'Ortenzio, F. (2018). Impact of decadal reversals of the north Ionian circulation on phytoplankton phenology. Biogeosciences, 15(14), 4431-4445.

Lilian Anne Krug, Trevor Platt, Ana B. Barbosa, (2018) Delineation of ocean surface provinces over a complex marine domain (off SW Iberia): An objective abiotic-based approach, Regional Studies in Marine Science, 18, https://doi.org/10.1016/j.rsma.2018.01.003.

Lilian Anne Krug, Trevor Platt, Shubha Sathyendranath, Ana B. Barbosa, (2018) Patterns and drivers of phytoplankton phenology off SW Iberia: A phenoregion based perspective, Progress in Oceanography, Volume 165, Pages 233-256, doi:10.1016/j.pocean.2018.06.010.

Li, W.; El-Askary, H.; Qurban, M.A.; Proestakis, E.; Garay, M.J.; Kalashnikova, O.V.; Amiridis, V.; Gkikas, A.; Marinou, E.; Piechota, T.; Manikandan, K.P. An Assessment of Atmospheric and Meteorological Factors Regulating Red Sea Phytoplankton Growth. Remote Sens. 2018, 10, 673. 

Liu, X.; Devred, E.; Johnson, C. Remote Sensing of Phytoplankton Size Class in Northwest Atlantic from 1998 to 2016: Bio-Optical Algorithms Comparison and Application. Remote Sens. 2018, 10, 1028. 

Lobanova, P.; Tilstone, G.H.; Bashmachnikov, I.; Brotas, V. Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean. Remote Sens. 2018, 10, 1116. 

Mayot, N., Matrai, P., Ellingsen, I.H., Steele, M., Johnson, K., Riser, S.C. and Swift, D., 2018. Assessing Phytoplankton Activities in the Seasonal Ice Zone of the Greenland Sea Over an Annual Cycle. Journal of Geophysical Research: Oceans, 123(11), pp.8004-8025.

Monolisha S., Platt Trevor, Sathyendranath Shubha, Jayasankar J., George Grinson, Jackson Thomas, (2018), Optical Classification of the Coastal Waters of the Northern Indian Ocean, Frontiers in Marine Science, 5, doi:10.3389/fmars.2018.00087

Piló, D., Barbosa, A.B., Teodósio, M.A., Encarnação, J., Leitão, F., Range, P., Krug, L.A., Cruz, J. and Chícharo, L., 2018. Are submarine groundwater discharges affecting the structure and physiological status of rocky intertidal communities?. Marine environmental research, 136, pp.158-173.

Sammartino, M., Marullo, S., Santoleri, R. and Scardi, M., (2018). Modelling the vertical distribution of phytoplankton biomass in the mediterranean sea from satellite data: A neural network approach. Remote Sensing, 10(10), p.1666.

Sathyendranath, S., Grant, M., Brewin, R.J.W., Brockmann, C., Brotas, V., Chuprin, A., Doerffer, R., Dowell, M., Farman, A., Groom, S. and Jackson, T., Version 3.1 Data. Centre for Environmental Data Analysis, 04 July 2018. doi: 10.5285/9c334fbe6d424a708cf3c4cf0c6a53f5.

Shovonlal Roy (2018), Distributions of phytoplankton carbohydrate, protein and lipid in the world oceans from satellite ocean colour, The ISME Journal, volume 12, pages 1457–1472, doi:10.1038/s41396-018-0054-8

Shah, Phiros and Sajeev, R and Santhosh, K M and Thara, K J and Muhammad, Shafeeque and John, K Lix and George, Grinson (2018) Observed signals of upwelling and downwelling along the west coast of India. Indian Journal of Geo-Marine Sciences, 47 (3). pp. 604-612. 

Skákala, J., Ford, D. A., Brewin, R. J. W., McEwan, R., Kay, S., Taylor, B. H., et al. ( 2018). The assimilation of phytoplankton functional types for operational forecasting in the northwest European Shelf. Journal of Geophysical Research: Oceans, 123, 5230– 5247. https://doi.org/10.1029/2018JC014153

P.J. Vidya, Siby Kurian, (2018) Impact of 2015–2016 ENSO on the winter bloom and associated phytoplankton community shift in the northeastern Arabian Sea, Journal of Marine Systems, Volume 186, Pages 96-104, doi:10.1016/j.jmarsys.2018.06.005.

2017

Jim Aiken, Robert J.W. Brewin, Francois Dufois, Luca Polimene, Nick J. Hardman-Mountford, Thomas Jackson, Ben Loveday, Silvana Mallor Hoya, Giorgio Dall’Olmo, John Stephens, Takafumi Hirata, (2017) A synthesis of the environmental response of the North and South Atlantic Sub-Tropical Gyres during two decades of AMT, Progress in Oceanography, Volume 158, Pages 236-254, https://doi.org/10.1016/j.pocean.2016.08.004.

Al-Naimi, N.; Raitsos, D.E.; Ben-Hamadou, R.; Soliman, Y. Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf. Remote Sens. 2017, 9, 301. 

Brewin Robert J. W., Ciavatta Stefano, Sathyendranath Shubha, Jackson Thomas, Tilstone Gavin, Curran Kieran, Airs Ruth L., Cummings Denise, Brotas Vanda, Organelli Emanuele, Dall'Olmo Giorgio, Raitsos Dionysios E. (2017) Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups, Frontiers in Marine Science, 4, doi:10.3389/fmars.2017.00104 

Buchwitz, M., Lavender, S. and Chuvieco, E. (2017). Special issue on earth observation of essential climate variables, Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.09.001

Wee Cheah, Mariana A. Soppa, Sonja Wiegmann, Sharyn Ossebaar, Luis M. Laglera, Volker H. Strass, Juan Santos-Echeandía, Mario Hoppema, Dieter Wolf-Gladrow, Astrid Bracher, (2017) Importance of deep mixing and silicic acid in regulating phytoplankton biomass and community in the iron-limited Antarctic Polar Front region in summer, Deep Sea Research Part II: Topical Studies in Oceanography, Volume 138, https://doi.org/10.1016/j.dsr2.2016.05.019.

Di Cicco Annalisa, Sammartino Michela, Marullo Salvatore, Santoleri Rosalia (2017) Regional Empirical Algorithms for an Improved Identification of Phytoplankton Functional Types and Size Classes in the Mediterranean Sea Using Satellite Data, Frontiers in Marine Science, 4, doi:10.3389/fmars.2017.00126

Dreano, D., Tsiaras, K., Triantafyllou, G. et al. (2017), Efficient ensemble forecasting of marine ecology with clustered 1D models and statistical lateral exchange: application to the Red Sea, Ocean Dynamics, 67: 935.,  doi:10.1007/s10236-017-1065-0

Evers-King Hayley, Martinez-Vicente Victor, Brewin Robert J. W., Dall'Olmo Giorgio, Hickman Anna E., Jackson Thomas, Kostadinov Tihomir S., Krasemann Hajo, Loisel Hubert, Röttgers Rüdiger, Roy Shovonlal, Stramski Dariusz, Thomalla Sandy, Platt Trevor, Sathyendranath Shubha (2017), Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Oceans  Frontiers in Marine Science , 4, doi:10.3389/fmars.2017.00251

David Ford, Rosa Barciela, (2017), Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products, Remote Sensing of Environment, Volume 203, Pages 40-54, https://doi.org/10.1016/j.rse.2017.03.040.

Keerthi, M. G., Lengaigne, M., Levy, M., Vialard, J., Parvathi, V., de Boyer Montégut, C., Ethé, C., Aumont, O., Suresh, I., Akhil, V. P., and Muraleedharan, P. M.: Physical control of interannual variations of the winter chlorophyll bloom in the northern Arabian Sea, Biogeosciences, 14, 3615–3632, https://doi.org/10.5194/bg-14-3615-2017, 2017.

Gharamti, M.E., Samuelsen, A., Bertino, L., Simon, E., Korosov, A. and Daewel, U., 2017. Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: application to a one-dimensional model in the North Atlantic. Journal of Marine Systems, 168, pp.1-16.

Jackson Thomas, Sathyendranath Shubha, Platt Trevor (2017) An Exact Solution For Modeling Photoacclimation of the Carbon-to-Chlorophyll Ratio in Phytoplankton, Frontiers in Marine Science, 4, doi:10.3389/fmars.2017.00283 

Jackson Thomas , Sathyendranath Shubha, Mélin Frédéric, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Volume 203, Pages 152-161, doi:10.1016/j.rse.2017.03.036.

John A. Gittings, Dionysios E. Raitsos, Marie-Fanny Racault, Robert J.W. Brewin, Yaswant Pradhan, Shubha Sathyendranath, Trevor Platt, (2017) Seasonal phytoplankton blooms in the Gulf of Aden revealed by remote sensing, Remote Sensing of Environment, Volume 189, Pages 56-66, https://doi.org/10.1016/j.rse.2016.10.043.

Gómez-Letona Markel, Ramos Antonio G., Coca Josep, Arístegui Javier (2017) Trends in Primary Production in the Canary Current Upwelling System—A Regional Perspective Comparing Remote Sensing Models, Frontiers in Marine Science, 4, doi:10.3389/fmars.2017.00370

Hammond, M. L., Beaulieu, C., Sahu, S. K., and Henson, S. A. ( 2017), Assessing trends and uncertainties in satellite‐era ocean chlorophyll using space‐time modeling, Global Biogeochem. Cycles, 31, 1103– 1117, doi:10.1002/2016GB005600. 

Huang, J., Xu, F., Zhou, K., Xiu, P., and Lin, Y. ( 2017), Temporal evolution of near‐surface chlorophyll over cyclonic eddy lifecycles in the southeastern Pacific, J. Geophys. Res. Oceans, 122, 6165– 6179, doi:10.1002/2017JC012915. 

Kondrik, D., Pozdnyakov, D. & Pettersson, L. Izv. (2017) Tendencies in Coccolithophorid Blooms in Some Marine Environments of the Northern Hemisphere according to the Data of Satellite Observations in 1998–2013, Atmos. Ocean. Phys. 53: 955. https://doi.org/10.1134/S000143381709016X

Krug, L. A., Platt, T., Sathyendranath, S., & Barbosa, A. B. (2017). Unravelling region-specific environmental drivers of phytoplankton across a complex marine domain (off SW Iberia). Remote sensing of environment, 203, 162-184.

Krug, L.A., Platt, T., Sathyendranath, S. and Barbosa, A.B., 2017. Ocean surface partitioning strategies using Ocean Colour Remote Sensing: a review. Progress in Oceanography, 155, pp.41-53.

Li, W.; El-Askary, H.; ManiKandan, K.P.; Qurban, M.A.; Garay, M.J.; Kalashnikova, O.V. Synergistic Use of Remote Sensing and Modeling to Assess an Anomalously High Chlorophyll-a Event during Summer 2015 in the South Central Red Sea. Remote Sens. 2017, 9, 778. 

Losa Svetlana N., Soppa Mariana A., Dinter Tilman, Wolanin Aleksandra, Brewin Robert J. W., Bricaud Annick, Oelker Julia, Peeken Ilka, Gentili Bernard, Rozanov Vladimir, Bracher Astrid (2017) Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT), Frontiers in Marine Science, 4, doi:10.3389/fmars.2017.00203 

Martínez-Vicente Víctor, Evers-King Hayley, Roy Shovonlal, Kostadinov Tihomir S., Tarran Glen A., Graff Jason R., Brewin Robert J. W., Dall'Olmo Giorgio, Jackson Tom, Hickman Anna E., Röttgers Rüdiger, Krasemann Hajo, Marañón Emilio, Platt Trevor, Sathyendranath Shubha (2017), Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean, Frontiers in Marine Science, 4,  doi:10.3389/fmars.2017.00378 

F. Mélin, V. Vantrepotte, A. Chuprin, M. Grant, T. Jackson, S. Sathyendranath, (2017) Assessing the fitness-for-purpose of satellite multi-mission ocean color climate data records: A protocol applied to OC-CCI chlorophyll-a data, Remote Sensing of Environment, Volume 203, Pages 139-151,  doi:10.1016/j.rse.2017.03.039.

Meyssignac, B., Piecuch, C.G., Merchant, C.J. et al. (2017) Causes of the Regional Variability in Observed Sea Level, Sea Surface Temperature and Ocean Colour Over the Period 1993–2011, Surv Geophys 38: 187. https://doi.org/10.1007/s10712-016-9383-1

Navarro Gabriel, Almaraz Pablo, Caballero Isabel, Vázquez Águeda, Huertas Isabel E. (2017)

Reproduction of Spatio-Temporal Patterns of Major Mediterranean Phytoplankton Groups from Remote Sensing OC-CCI Data, Frontiers in Marine Science , 4, doi:10.3389/fmars.2017.00246    

Platt, T., Sathyendranath, S., White III, G.N., Jackson, T., Saux Picart, S. and Bouman, H., 2017. Primary Production: Sensitivity to Surface Irradiance and Implications for Archiving Data. Frontiers in Marine Science, 4, p.387.

Viena Puigcorbé, Montserrat Roca-Martí, Pere Masqué, Claudia R. Benitez-Nelson, Michiel Rutgers v. d. Loeff, Luis M. Laglera, Astrid Bracher, Wee Cheah, Volker H. Strass, Mario Hoppema, Juan Santos-Echeandía, Brian P.V. Hunt, Evgeny A. Pakhomov, Christine Klaas, (2017) Particulate organic carbon export across the Antarctic Circumpolar Current at 10°E: Differences between north and south of the Antarctic Polar Front, Deep Sea Research Part II: Topical Studies in Oceanography, Volume 138, doi:10.1016/j.dsr2.2016.05.016.

Racault MF., Sathyendranath S., Menon N., Platt T. (2017) Phenological Responses to ENSO in the Global Oceans. In: Cazenave A., Champollion N., Paul F., Benveniste J. (eds) Integrative Study of the Mean Sea Level and Its Components. Space Sciences Series of ISSI, vol 58. Springer, Cham

Racault Marie-Fanny, Sathyendranath Shubha, Brewin Robert J. W., Raitsos Dionysios E., Jackson Thomas, Platt Trevor (2017), Impact of El Niño Variability on Oceanic Phytoplankton, Frontiers in Marine Science, 4, doi:10.3389/fmars.2017.00133  

Racault, M.F., Takara, K., Miyazawa, Y., Kuroki, R., Yamagata, T. and Yamashiki, Y., 2017. Modeling of Extreme Freshwater Outflow from the North-Eastern Japanese River Basins to Western Pacific Ocean.

Montserrat Roca-Martí, Viena Puigcorbé, Morten H. Iversen, Michiel Rutgers van der Loeff, Christine Klaas, Wee Cheah, Astrid Bracher, Pere Masqué, (2017) High particulate organic carbon export during the decline of a vast diatom bloom in the Atlantic sector of the Southern Ocean, Deep Sea Research Part II: Topical Studies in Oceanography, Volume 138, https://doi.org/10.1016/j.dsr2.2015.12.007.

Shovonlal Roy, Shubha Sathyendranath, Trevor Platt, (2017) Size-partitioned phytoplankton carbon and carbon-to-chlorophyll ratio from ocean colour by an absorption-based bio-optical algorithm, Remote Sensing of Environment, Volume 194, Pages 177-189, https://doi.org/10.1016/j.rse.2017.02.015.

S. Sathyendranath, Robert J.W. Brewin, Thomas Jackson, Frédéric Mélin, Trevor Platt, (2017) Ocean-colour products for climate-change studies: What are their ideal characteristics?, Remote Sensing of Environment, Volume 203, Pages 125-138, https://doi.org/10.1016/j.rse.2017.04.017.

Sathyendranath S., Bracher A., Brockmann C., Platt T., Ramon D., Regner P.(2017) Colour and Light in the Ocean (CLEO) 2016: A Scientific Roadmap from the CLEO Workshop Organised by ESA and PML. Held at ESRIN, Frascati, Italy on 6-8 September, 2016.

Shafeeque Muhammad, Sathyendranath Shubha, George Grinson, Balchand Alungal N., Platt Trevor (2017) Comparison of Seasonal Cycles of Phytoplankton Chlorophyll, Aerosols, Winds and Sea-Surface Temperature off Somalia, Frontiers in Marine Science, 4, doi:10.3389/fmars.2017.00386

Smyth, T., Quartly, G., Jackson, T., Tarran, G., Woodward, M., Harris, C., Gallienne, C., Thomas, R., Airs, R., Cummings, D. and Brewin, R., 2017. Determining Atlantic Ocean province contrasts and variations. Progress in oceanography, 158, pp.19-40.

Volker H. Strass, Harry Leach, Hartmut Prandke, Matthew Donnelly, Astrid U. Bracher, Dieter A. Wolf-Gladrow, (2017) The physical environmental conditions for biogeochemical differences along the Antarctic Circumpolar Current in the Atlantic Sector during late austral summer 2012, Deep Sea Research Part II: Topical Studies in Oceanography, Volume 138, Pages 6-25, https://doi.org/10.1016/j.dsr2.2016.05.018.

2016

Bacha, M. , Jeyid, M. A., Vantrepotte, V. , Dessailly, D. and Amara, R. (2017), Environmental effects on the spatio‐temporal patterns of abundance and distribution of Sardina pilchardus and sardinella off the Mauritanian coast (North‐West Africa). Fish. Oceanogr., 26: 282-298. doi:10.1111/fog.12192

André Belo Couto, Vanda Brotas, Frédéric Mélin, Steve Groom & Shubha Sathyendranath (2016) Inter-comparison of OC-CCI chlorophyll-a estimates with precursor data sets, International Journal of Remote Sensing, 37:18, 4337-4355, DOI: 10.1080/01431161.2016.1209313

Robert J.W. Brewin, Giorgio Dall'Olmo, Silvia Pardo, Virginie van Dongen-Vogels, Emmanuel S. Boss, (2016), Underway spectrophotometry along the Atlantic Meridional Transect reveals high performance in satellite chlorophyll retrievals, Remote Sensing of Environment, Volume 183, Pages 82-97, https://doi.org/10.1016/j.rse.2016.05.005.

Giorgio Dall'Olmo, James Dingle, Luca Polimene, Robert J. W. Brewin & Hervé Claustre, (2016) Substantial energy input to the mesopelagic ecosystem from the seasonal mixed-layer pump, Nature Geoscience volume 9, pages 820–823, doi:10.1038/ngeo2818

Ciavatta, S., Kay, S., Saux‐Picart, S., Butenschön, M. and Allen, J.I., (2016). Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem. Journal of Geophysical Research: Oceans, 121(3), pp.1824-1845.

Dreano D, Raitsos DE, Gittings J, Krokos G, Hoteit I (2016) The Gulf of Aden Intermediate Water Intrusion Regulates the Southern Red Sea Summer Phytoplankton Blooms. PLoS ONE 11(12): e0168440. https://doi.org/10.1371/journal.pone.0168440

Herr, H., Viquerat, S., Siegel, V., Kock, K. H., Dorschel, B., Huneke, W. G., ... & Gutt, J. (2016). Horizontal niche partitioning of humpback and fin whales around the West Antarctic Peninsula: evidence from a concurrent whale and krill survey. Polar Biology, 39(5), 799-818.

Kahru, M., Elmgren, R., and Savchuk, O. P. (2016) Changing seasonality of the Baltic Sea, Biogeosciences, 13, 1009–1018, https://doi.org/10.5194/bg-13-1009-2016

Kahru, M., Lee, Z., Mitchell, B. G., & Nevison, C. D. (2016). Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean. Biology letters, 12(11), 20160223.

Kratzer S. et al. (2016) Multitemporal Remote Sensing of Coastal Waters. In: Ban Y. (eds) Multitemporal Remote Sensing. Remote Sensing and Digital Image Processing, vol 20. Springer, Cham

Mélin, F., Sclep, G., Jackson, T., & Sathyendranath, S. (2016). Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets. Remote sensing of environment, 177, 107-124.

Mélin, F., 2016. Impact of inter-mission differences and drifts on chlorophyll-a trend estimates. International Journal of Remote Sensing, 37(10), pp.2233-2251.

Nieto, K, Mélin , F (2016) Variability of chlorophyll-a concentration in the Gulf of Guinea and its relation to physical oceanographic variables. Progress in Oceanography 151 (2017) 97–115. http://dx.doi.org/10.1016/j.pocean.2016.11.009

Roxy, M. K., Modi, A., Murtugudde, R., Valsala, V., Panickal, S., Prasanna Kumar, S., Ravichandran, M., Vichi, M., and Lévy, M. ( 2016), A reduction in marine primary productivity driven by rapid warming over the tropical Indian Ocean, Geophys. Res. Lett., 43, 826– 833, doi:10.1002/2015GL066979. 

Sathyendranath, S., Groom, S., Grant, M., Brewin, R., Thompson, A., Chuprin, A., Horseman, A., Jackson, T., Vicente, V.M., Platt, T. and Brockmann, C., 2016. ESA ocean colour climate change initiative (ocean− colour− cci): Version 1.0 data. Centre Environ. Data Anal.

Sathyendranath, S.; Groom, S.; Grant, M.; Brewin, R.J.W.; Thompson, A.; Chuprin, A.; Horseman, A.; Jackson, T.; Martinez Vicente, V.; Platt, T.; Brockmann, C.; Zühlke, M.; Doerffer, R.; Valente, A.; Brotas, V.; Krasemann, H.; Müller, D.; Dowell, M.; Mélin, F.; Swinton, J.; Farman, A.; Lavender, S.; Moore, T.S.; Regner, P.; Roy, S.; Steinmetz, F.; Mazeran, C.; Brando, V.E.; Taberner, M.; Antoine, D.; Arnone, R.; Balch, W.M.; Barker, K.; Barlow, R.; Bélanger, S.; Berthon, J.-F.; Beşiktepe, Ş.; Canuti, E.; Chavez, F.; Claustre, H.; Crout, R.; Frouin, R.; García-Soto, C.; Gibb, S.W.; Gould, R.; Hooker, S.; Kahru, M.; Klein, H.; Kratzer, S.; Loisel, H.; McKee, D.; Mitchell, B.G.; Moisan, T.; Feldman, G.; Franz, B.; Muller-Karger, F.; O'Dowd, L.; Ondrusek, M.; Poulton, A.J.; Repecaud, M.; Smyth, T.; Sosik, H.M.; Twardowski, M.; Voss, K.; Werdell, J.; Wernand, M.; Zibordi, G. (2016): ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 2.0 Data. Centre for Environmental Data Analysis, 20 December 2016. doi:10.5285/b0d6b9c5-14ba-499f-87c9-66416cd9a1dc. http://dx.doi.org/10.5285/b0d6b9c5-14ba-499f-87c9-66416cd9a1dc

Soppa, M.A.; Völker, C.; Bracher, A. Diatom Phenology in the Southern Ocean: Mean Patterns, Trends and the Role of Climate Oscillations. Remote Sens. 2016, 8, 420. 

Karina von Schuckmann, Pierre-Yves Le Traon, Enrique Alvarez-Fanjul, Lars Axell, Magdalena Balmaseda, Lars-Anders Breivik, Robert J. W. Brewin, Clement Bricaud, Marie Drevillon, Yann Drillet, Clotilde Dubois, Owen Embury, Hélène Etienne, Marcos García Sotillo, Gilles Garric, Florent Gasparin, Elodie Gutknecht, Stéphanie Guinehut, Fabrice Hernandez, Melanie Juza, Bengt Karlson, Gerasimos Korres, Jean-François Legeais, Bruno Levier, Vidar S. Lien, Rosemary Morrow, Giulio Notarstefano, Laurent Parent, Álvaro Pascual, Begoña Pérez-Gómez, Coralie Perruche, Nadia Pinardi, Andrea Pisano, Pierre-Marie Poulain, Isabelle M. Pujol, Roshin P. Raj, Urmas Raudsepp, Hervé Roquet, Annette Samuelsen, Shubha Sathyendranath, Jun She, Simona Simoncelli, Cosimo Solidoro, Jonathan Tinker, Joaquín Tintoré, Lena Viktorsson, Michael Ablain, Elin Almroth-Rosell, Antonio Bonaduce, Emanuela Clementi, Gianpiero Cossarini, Quentin Dagneaux, Charles Desportes, Stephen Dye, Claudia Fratianni, Simon Good, Eric Greiner, Jerome Gourrion, Mathieu Hamon, Jason Holt, Pat Hyder, John Kennedy, Fernando Manzano-Muñoz, Angélique Melet, Benoit Meyssignac, Sandrine Mulet, Bruno Buongiorno Nardelli, Enda O’Dea, Einar Olason, Aurélien Paulmier, Irene Pérez-González, Rebecca Reid, Marie-Fanny Racault, Dionysios E. Raitsos, Antonio Ramos, Peter Sykes, Tanguy Szekely & Nathalie Verbrugge (2016) The Copernicus Marine Environment Monitoring Service Ocean State Report, Journal of Operational Oceanography, 9:sup2, s235-s320, DOI: 10.1080/1755876X.2016.1273446

Andrew N. Tyler, Peter D. Hunter, Evangelos Spyrakos, Steve Groom, Adriana Maria Constantinescu, Jonathan Kitchen, (2016) Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters, Science of The Total Environment, Volume 572, Pages 1307-1321, https://doi.org/10.1016/j.scitotenv.2016.01.020.

Valente, A., Sathyendranath, S., Brotas, V., Groom, S., Grant, M., Taberner, M., Antoine, D., Arnone, R., Balch, W. M., Barker, K., Barlow, R., Bélanger, S., Berthon, J.-F., Beşiktepe, Ş., Brando, V., Canuti, E., Chavez, F., Claustre, H., Crout, R., Frouin, R., García-Soto, C., Gibb, S. W., Gould, R., Hooker, S., Kahru, M., Klein, H., Kratzer, S., Loisel, H., McKee, D., Mitchell, B. G., Moisan, T., Muller-Karger, F., O'Dowd, L., Ondrusek, M., Poulton, A. J., Repecaud, M., Smyth, T., Sosik, H. M., Twardowski, M., Voss, K., Werdell, J., Wernand, M., and Zibordi, G. (2016) A compilation of global bio-optical in situ data for ocean-colour satellite applications, Earth Syst. Sci. Data, 8, 235–252, https://doi.org/10.5194/essd-8-235-2016

2015

Robert J.W. Brewin, Shubha Sathyendranath, Thomas Jackson, Ray Barlow, Vanda Brotas, Ruth Airs, Tarron Lamont, (2015) Influence of light in the mixed-layer on the parameters of a three-component model of phytoplankton size class, Remote Sensing of Environment, Volume 168, https://doi.org/10.1016/j.rse.2015.07.004.

Brewin, R. J., Sathyendranath, S., Müller, D., Brockmann, C., Deschamps, P. Y., Devred, E., ... & Groom, S. (2015). The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms. Remote Sensing of Environment, 162, 271-294.

Brewin, R.J., Raitsos, D.E., Dall'Olmo, G., Zarokanellos, N., Jackson, T., Racault, M.F., Boss, E.S., Sathyendranath, S., Jones, B.H. and Hoteit, I., 2015. Regional ocean-colour chlorophyll algorithms for the Red Sea. Remote Sensing of Environment, 165, pp.64-85.

Fernandes, J.A., Kay, S., Hossain, M.A., Ahmed, M., Cheung, W.W., Lazar, A.N. and Barange, M., 2015. Projecting marine fish production and catch potential in Bangladesh in the 21st century under long-term environmental change and management scenarios. ICES Journal of Marine Science, 73(5), pp.1357-1369.

Kim, Y. S., Jang, C. J., & Son, Y. B. (2015). Interannual Variability of Summer Chlorophyll in the Southern Ocean: ENSO Effects. Ocean and Polar Research, 37(2), 149-159.

Kovač, Ž., Platt, T., Sathyendranath, S., Morović, M. and Jackson, T., 2015. Recovery of photosynthesis parameters from in situ profiles of phytoplankton production. ICES Journal of Marine Science, 73(2), pp.275-285.

Mélin, F. and Sclep, G., 2015. Band shifting for ocean color multi-spectral reflectance data. Optics Express, 23(3), pp.2262-2279.

Müller, D, Krasemann, H, Brewin, RJW, Brockmann, C, Deschamps, P-Y, Doerffer, R, Fomferra, N, Franz, BA, Grant, MG, Groom, SB, Mélin, F, Platt, T, Regner, P, Sathyendranath, S, Steinmetz, F, Swinton J (2015) The Ocean Colour Climate Change Initiative: I. Spatial and temporal homogeneity of satellite data retrieval due to systematic effects in atmospheric correction processors, Remote Sensing of Environment http://dx.doi.org/10.1016/j.rse.2015.01.033

Müller, D, Krasemann, H, Brewin, RJW, Brockmann, C, Deschamps, P-Y, Doerffer, R, Fomferra, N, Franz, BA, Grant, MG, Groom, SB, Mélin, F, Platt, T, Regner, P, Sathyendranath, S, Steinmetz, F, Swinton J(2015) The Ocean Colour Climate Change Initiative: II. A methodology for assessing atmospheric correction processors based on in-situ measurements, Remote Sensing of Environment http://dx.doi.org/10.1016/j.rse.2013.11.026

Pitarch, J., Volpe, G., Colella, S., Krasemann, H. and Santoleri, R., 2015. Remote sensing of chlorophyll in the Baltic Sea at basin scale from 1997 to 2012 using merged multisensor data. Ocean Science Discussions, 12(5).

Sá, C, D’Alimonte, D, Brito, A, Kajiyama, T, Vitorino, J, Mendes, CR, Oliveira, PB, da Silva, JCB, Brotas, V(2015) Validation of Standard and Alternative Satellite Ocean-Colour Chlorophyll Products off Western IberiaRemote Sensing of Environment, 168: 403-419.http://dx.doi.org/10.1016/j.rse.2015.07.018

Marie-Fanny Racault, Dionysios E. Raitsos, Michael L. Berumen, Robert J.W. Brewin, Trevor Platt, Shubha Sathyendranath, Ibrahim Hoteit, (2015) Phytoplankton phenology indices in coral reef ecosystems: Application to ocean-color observations in the Red Sea, Remote Sensing of Environment, Volume 160, Pages 222-234, https://doi.org/10.1016/j.rse.2015.01.019.

Sá, C., D'Alimonte, D., Brito, A.C., Kajiyama, T., Mendes, C.R., Vitorino, J., Oliveira, P.B., Da Silva, J.C.B. and Brotas, V., 2015. Validation of standard and alternative satellite ocean-color chlorophyll products off Western Iberia. Remote Sensing of Environment, 168, pp.403-419.

Serret, P, Robinson, C, Aranguren-Gassis, M, Garcia-Martin, EE, Gist, N, Kitidis, V, Lozano, J, Stephens, J, Harris, C, Thomas, R (2015) Both respiration and photosynthesis determine the scaling of plankton metabolism in the oligotrophic ocean, Nature Communications, 6, Article number:6961http://dx.doi.org/10.1038/ncomms7961

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

2014 and older

Brewin, RJW, Devred, E, Sathyendranath, S, Hardman-Mountford, NJ, Lavender, SJ (2011) A model of phytoplankton absorption based on three size classes. Appl. Optics, 50: 4535-4549.

Devred, E, Sathyendranath, S, Stuart, V, Platt, T (2011) A three component classification of phytoplankton absorption spectra: Application to ocean-color data., Remote Sensing of Environment. 115: 2255-2266.http://dx.doi.org/10.1016/j.rse.2011.04.025

Brewin, RJW, Hirata, T, Hardman-Mountford, NJ, Lavender, SJ, Sathyendranath, S, Barlow, R (2012) The influence of the Indian Ocean dipole on interannual variations in phytoplankton size structure as revealed by Earth observations., Deep Sea Res. II. 77–80: 117–127.http://dx.doi.org/10.1016/j.dsr2.2012.04.009

Brewin, RJW, Dall’Olmo, G, Sathyendranath, S, Hardman-Mountford, NJ(2012) Particle backscattering as a function of chlorophyll and phytoplankton size structure in the open-ocean. Optics Express. 20 (16): 17632–652.

Brewin, RJW, Raitsos, DE, 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.http://dx.doi.org/10.1016/j.rse.2013.04.018

Brewin, RJW , Sathyendranath, S, Müeller, D, Brockmann, C, Deschamps, P-Y, Devred, E, Doerffer, R, Fomferra, N, Franz, BA, Grant, MG, Groom, SB, Horseman, A, Hu C, Krasemann, H, Lee, Z, Maritorena, S, Mélin, F, Peters, M, Platt, T, Regner, P, Smyth, T, St (2013) The Ocean Colour Climate Change Initiative I: A round-robin comparison on in-water bio-optical algorithms, Remote Sensing of Environment http://dx.doi.org/10.1016/j.rse.2013.09.016

Brewin, RJW., Mélin, F., Sathyendranath, S., Steinmetz, F., Chuprin, A., Grant, M. (2014) On the temporal consistency of chlorophyll products derived from three ocean-colour sensors., ISPRS Journal of Photogrammetry and Remote Sensing, 97, 171-184http://dx.doi.org/10.1016/j.isprsjprs.2014.08.013

Brotas, V, Brewin, RJW, Sá, C, Brito, A, Silva, A, Mendes, CR, Diniz, T, Kaufman, M, Tarran, G, Groom, G, Platt, T, Sathyendranath, S (2013) Deriving phytoplankton size classes from satellite data: validation along a trophic grandient in the Eastern Atlantic Ocean. Remote Sensing of Environment. 134: 66-77.http://dx.doi.org/10.1016/j.rse.2013.02.013

Ciavatta, S, Torres, R, Saux-Picart, S, Allen JI (2011) Can ocean color assimilation improve biogeochemical hindcasts in shelf seas? Journal of Geophysical Research, 116: C12043.http://dx.doi.org/10.1029/2011JC007219

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

Hollmann, R, Merchant, CJ, Saunders, R, C. Downy, Buchwitz, CM, Cazenave, A, Chuvieco, Defourny, EP, de Leeuw, Forsberg, GR, T. Holzer-Popp, T, Paul, F,Sandven, S, Sathyendranath, S, M. van Roozendael, M, Wagner, W(2013) The ESA Climate Change Initiative: satellite data records for essential climate variables, Bull. Am. Met. Soc. http://dx.doi.org/10.1175/BAMS-D-11-00254.1

Melin, F, Zibordi, G, Berthon, J-F, Bailey, S, Franz, BA, Voss, K, Flora, S, Grant, MG(2011) Assessment of MERIS reflectance data as processed with SeaDAS, Optics Express, 19 (25): 25657-25671.

Mélin, F, Zibordi, G, Holben, BN(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://dx.doi.org/10.1109/LGRS.2012.2235408

Racault, M-F, Le Quéré, C, Buitenhuis, E, Sathyendranath, S, Platt, T (2012) Phytoplankton phenology in the global ocean, Ecological Indicators, 14: 152-163. http://dx.doi.org/10.1016/j.ecolind.2011.07.010

Raitsos, DE, Pradhan, Y, Brewin, RJW, Stenchikov G, Hoteit, I (2013) Remote Sensing the Phytoplankton Seasonal Succession of the Red Sea, PLoS ONE 8(6): e64909. http://dx.doi.org/10.1371/journal.pone.0064909

Roy, S, Broomhead, DS, Platt, T, Sathyendranath, S, Ciavatta, S(2012) Sequential variations of phytoplankton growth and mortality in an NPZ model: A remote-sensing-based assessment, Journal of Marine Systems, 92: 16-29.

Roy, S, Sathyendranath, S, Bouman, H, Platt, T(2013) Modelling global distribution of phytoplankton cell diameter and size spectrum from light-absorption spectra, Remote Sensing of Environment, 139:: 187-197.http://dx.doi.org/10.1016/j.rse.2013.08.004

Sathyendranath, S, Brewin, RJW, Müeller, D, Brockmann, C, Deschamps, P-Y, Doerffer, R, Fomferra, N, Franz, BA, Grant, MG, Hu C, Krasemann, H, Lee, Z, Maritorena, S, Devred, E, Mélin, F, Peters, M, Smyth, T, Steinmetz, F, Swinton, J, Werdell, J, Regner, P (2012) Ocean Colour Climate Change Initiative: Approach and Initial Results, IGARSS 2012: 2024-2027.http://dx.doi.org/10.1109/IGARSS.2012.6350979

Saux Picart, S, Sathyendranath, S, Dowell, M, Moore, T, Platt, T(2013) Remote sensing of assimilation number for marine phytoplankton, Remote Sensing of Environment, 146: 87-96. http://dx.doi.org/10.1016/j.rse.2013.10.032

Steinmetz F, Pierre-Yves Deschamps, P-Y, Ramon, D(2011) Atmospheric correction in presence of sun glint: application to MERIS, Optics Express, Vol. 19, Issue 10: 9783-9800.http://dx.doi.org/10.1364/OE.19.009783

Zhai, L, Tang C, Platt, T, Sathyendranath, S (2011) Ocean response to attenuation of visible light by phytoplankton in the Gulf of St. Lawrence, J. Mar. Syst. http://dx.doi.org/10.1016/j.jmarsys.2011.05.005

Zhai, Li, Gudmundsson, K, Miller, P, Peng, W, Guđfinnsson, Debes, H, Hátún, H, White, GN, Walls, RH, Sathyendranath, S, Platt, T (2012) Phytoplankton phenology and production around Iceland and Faroes, Continental Shelf Research, 37:15-25. http://dx.doi.org/10.1016/j.csr.2012.01.013

Zibordi, G, Holben, B, Mélin, F, D'Alimonte, D, Berthon, J-F, Slutsker, I, Giles, D (2010) AERONET-OC: An OverviewCanadian Journal of Remote Sensing, Vol 36, No 5: 448-497. Lobanova P.V., Basxhmachnikov I.L., Brotas, V. (2014) Analysis of satellite-based models of Primary Productivity in the North-East Atlantic Ocean. 12th Open Conference “Actual Problems in Remote Sensing of the Earth from Space”, 10-14 November, 2014, IKI RAN, Moscow, Russia

Contacts

The following people can be contacted within the Ocean Colour project.

• Science Leader: Dr. Shubha Sathyendranath – ssat@pml.ac.uk
• Project Management: Aqulia Erskine - aer@pml.ac.uk
• User queries / Product Support: Helpdesk – help@esa-oceancolour-CCI.org

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