Articles | Volume 26, issue 18
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

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Revised manuscript under review for HESS
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Cited articles

Abolafiaâ Rosenzweig, R., Livneh, B., Small, E. E., and Kumar, S. V.: Soil Moisture Data Assimilation to Estimate Irrigation Water Use, J. Adv. Model. Earth Syst., 11, 3670–3690,, 2019. 
Albergel, C., Munier, S., Bocher, A., Bonan, B., Zheng, Y., Draper, C., Leroux, D. J., and Calvet, J.-C.: LDAS-Monde sequential assimilation of satellite derived observations applied to the contiguous US: An ERA-5 driven reanalysis of the land surface variables, Remote Sens., 10, 1627,, 2018. 
Alter, R. E., Im, E.-S., and Eltahir, E. A.: Rainfall consistently enhanced around the Gezira Scheme in East Africa due to irrigation, Nat. Geosci., 8, 763–767,, 2015. 
Ambika, A. K., Wardlow, B., and Mishra, V.: Remotely sensed high resolution irrigated area mapping in India for 2000 to 2015, Sci. Data, 3, 160118,, 2016. 
Attema, E. P. W. and Ulaby, F. T.: Vegetation modelled as a water cloud, Radio Sci., 13, 357–364,, 1978. 
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.