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

Related authors

An inter-comparison of approaches and frameworks to quantify irrigation from satellite data
Søren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, Christian Massari, Luca Brocca, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 28, 441–457, https://doi.org/10.5194/hess-28-441-2024,https://doi.org/10.5194/hess-28-441-2024, 2024
Short summary
On understanding mountainous carbonate basins of the Mediterranean using parsimonious modeling solutions
Shima Azimi, Christian Massari, Giuseppe Formetta, Silvia Barbetta, Alberto Tazioli, Davide Fronzi, Sara Modanesi, Angelica Tarpanelli, and Riccardo Rigon
Hydrol. Earth Syst. Sci., 27, 4485–4503, https://doi.org/10.5194/hess-27-4485-2023,https://doi.org/10.5194/hess-27-4485-2023, 2023
Short summary
Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space
Jacopo Dari, Luca Brocca, Sara Modanesi, Christian Massari, Angelica Tarpanelli, Silvia Barbetta, Raphael Quast, Mariette Vreugdenhil, Vahid Freeman, Anaïs Barella-Ortiz, Pere Quintana-Seguí, David Bretreger, and Espen Volden
Earth Syst. Sci. Data, 15, 1555–1575, https://doi.org/10.5194/essd-15-1555-2023,https://doi.org/10.5194/essd-15-1555-2023, 2023
Short summary
Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land
Sara Modanesi, Christian Massari, Alexander Gruber, Hans Lievens, Angelica Tarpanelli, Renato Morbidelli, and Gabrielle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 25, 6283–6307, https://doi.org/10.5194/hess-25-6283-2021,https://doi.org/10.5194/hess-25-6283-2021, 2021
Short summary

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
Making a case for power-sensitive water modelling: a literature review
Rozemarijn ter Horst, Rossella Alba, Jeroen Vos, Maria Rusca, Jonatan Godinez-Madrigal, Lucie V. Babel, Gert Jan Veldwisch, Jean-Philippe Venot, Bruno Bonté, David W. Walker, and Tobias Krueger
Hydrol. Earth Syst. Sci., 28, 4157–4186, https://doi.org/10.5194/hess-28-4157-2024,https://doi.org/10.5194/hess-28-4157-2024, 2024
Short summary
Developing water supply reservoir operating rules for large-scale hydrological modelling
Saskia Salwey, Gemma Coxon, Francesca Pianosi, Rosanna Lane, Chris Hutton, Michael Bliss Singer, Hilary McMillan, and Jim Freer
Hydrol. Earth Syst. Sci., 28, 4203–4218, https://doi.org/10.5194/hess-28-4203-2024,https://doi.org/10.5194/hess-28-4203-2024, 2024
Short summary
An investigation of anthropogenic influences on hydrologic connectivity using model stress tests
Amelie Herzog, Jost Hellwig, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 28, 4065–4083, https://doi.org/10.5194/hess-28-4065-2024,https://doi.org/10.5194/hess-28-4065-2024, 2024
Short summary
The H2Ours game to explore water use, resources and sustainability: connecting issues in two landscapes in Indonesia
Lisa Tanika, Rika Ratna Sari, Arief Lukman Hakim, Meine van Noordwijk, Marielos Peña-Claros, Beria Leimona, Edi Purwanto, and Erika N. Speelman
Hydrol. Earth Syst. Sci., 28, 3807–3835, https://doi.org/10.5194/hess-28-3807-2024,https://doi.org/10.5194/hess-28-3807-2024, 2024
Short summary
Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models
Pierre Laluet, Luis Olivera-Guerra, Víctor Altés, Vincent Rivalland, Alexis Jeantet, Julien Tournebize, Omar Cenobio-Cruz, Anaïs Barella-Ortiz, Pere Quintana-Seguí, Josep Maria Villar, and Olivier Merlin
Hydrol. Earth Syst. Sci., 28, 3695–3716, https://doi.org/10.5194/hess-28-3695-2024,https://doi.org/10.5194/hess-28-3695-2024, 2024
Short summary

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, https://doi.org/10.1029/2019MS001797, 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, https://doi.org/10.3390/rs10101627, 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, https://doi.org/10.1038/ngeo2514, 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, https://doi.org/10.1038/sdata.2016.118, 2016. 
Attema, E. P. W. and Ulaby, F. T.: Vegetation modelled as a water cloud, Radio Sci., 13, 357–364, https://doi.org/10.1029/RS013i002p00357, 1978. 
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.