Articles | Volume 26, issue 18
https://doi.org/10.5194/hess-26-4685-2022
https://doi.org/10.5194/hess-26-4685-2022
Research article
 | 
26 Sep 2022
Research article |  | 26 Sep 2022

Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP

Sara Modanesi, Christian Massari, Michel Bechtold, Hans Lievens, Angelica Tarpanelli, Luca Brocca, Luca Zappa, and Gabriëlle J. M. De Lannoy

Data sets

ASCAT Surface Soil Moisture Climate Data Record v5 12.5 km sampling - Metop H SAF https://doi.org/10.15770/EUM_SAF_H_0006

Near real-time vegetation monitoring at global scale (https://land.copernicus.vgt.vito.be/PDF/portal/Application.html#Browse;Root=512260;Collection=1000083;Time=NORMAL,NORMAL,-1,,,-1,,) A. Verger, F. Baret, and M. Weiss https://doi.org/10.1109/JSTARS.2014.2328632

The modern-era retrospective analysis for research and applications, version 2 (MERRA-2) (https://disc.gsfc.nasa.gov/datasets?project=MERRA-2) R. Gelaro, W. McCarty, M. J. Suárez, R. Todling, A. Molod, L. Takacs, C. A. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, K. Wargan, L. Coy, R. Cullather, C. Draper, S. Akella, V. Buchard, A. Conaty, A. M. da Silva, W. Gu, G.-K. Kim, R. Koster, R. Lucchesi, D. Merkova, J. E. Nielsen, G. Partyka, S. Pawson, W. Putman, M. Rienecker, S. D. Schubert, M. Sienkiewicz, and B. Zhao https://doi.org/10.1175/JCLI-D-16-0758.1

Copernicus global land cover layers - collection 2 (https://lcviewer.vito.be/2015) M. Buchhorn, M. Lesiv, N. E. Tsendbazar, M. Herold, L. Bertels, and B. Smets https://doi.org/10.3390/rs12061044

MOD16A2 MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V006 S. Running, Q. Mu, and M. Zhao https://doi.org/10.5067/MODIS/MOD16A2.006

Model code and software

Land information system: An interoperable framework for high resolution land surface modeling (https://github.com/NASA-LIS/LISF) S. V. Kumar, C. Peters-Lidard, Y. Tian, P. Houser, J. Geiger, S. Olden, L. Lighty, J. Eastman, B. Doty, and P. Dirmeyer https://doi.org/10.1016/j.envsoft.2005.07.004

Download
Short summary
Given the crucial impact of irrigation practices on the water cycle, this study aims at estimating irrigation through the development of an innovative data assimilation system able to ingest high-resolution Sentinel-1 radar observations into the Noah-MP land surface model. The developed methodology has important implications for global water resource management and the comprehension of human impacts on the water cycle and identifies main challenges and outlooks for future research.