ESA CCI SM v06.1
The latest version (v06.1) includes data to 2020-12-31. The algorithm has been updated as follows:
- LPRMv6.1 is used for all passive sensors. This includes improved inter-calibration and improved flagging of snow conditions.
- A new ASCAT version is used which includes optimised cross over angles for vegetation correction and improved snow / frozen flagging.
- Cross-flagging of frozen soils is implemented to take advantage of flagged observations in all datasets.
- The period for which TMI is used has been extended to 2015.
- Gap filling of SNR data is undertaken per land cover class rather than globally.
- Break-adjusted COMBINED product provided as an experimental product using ERA5 as a reference. See Preimesberger et al. (2021) for further details.
Further information can be found in the documentation:
Licencing conditions follow the principles of openness and transparency wherever applicable. All ECV data products resulting from the project are freely accessible.
Downloading the Data
The ftp site is only accessible via SFTP (secure file transfer protocol). You will need to use ftp software that can handle this protocol, e.g. Filezilla. You will need to set the communication port to 22. If you cannot access it please recheck the login credentials, and port settings, and re-try. If you cannot access to the ftp site after number of attempts over a couple of days, please contact us via the e-mail addresses provided in e-mail you received with the login credentials.
If you download the data in the zipped format, this can be extracted using software such as 7-zip or via the command line.
Using the Data
For information on how to use the product, please read the Product User Guide (PUG). This is also available in the docs folder of the FTP site (from which the data can be downloaded).
A package is available in python for reading the data as daily images and converting these images to time series and reading them.
- The source code for our python package and installation instructions are available here: https://github.com/TUW-GEO/esa_cci_sm
- The package can be installed via pip using "pip install esa_cci_sm"
- The documentation for this package is available here: https://esa-cci-sm.readthedocs.io/en/latest/
Citing the data
The following citations are compulsory with the use of the dataset:
- Gruber, A., Scanlon, T., van der Scalie, R., Wagner, W., Dorigo, W. (2019), Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth System Science Data, 11, 717-739, https://doi.org/10.5194/essd-11-717-2019.
- Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, P. D., Hirschi, M., Ikonen, J., de Jeu, R., Kidd, R., Lahoz, W., Liu, Y. Y.,Miralles, D., Mistelbauer, T., Nicolai-Shaw, N., Parinussa, R., Pratola, C., Reimer, C., van der Schalie, R., Seneviratne, S. I. Smolander, T., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions, Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2017.07.001.
If using the break-adjusted product, the following is also compulsory in addition to the above:
- Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W. (2021). Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record, in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
If you are interested in previous product versions, please send us a request at: