Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP
<p>In recent years, the amount of water used for agricultural purposes has been rising due to an increase in food demand. However, anthropogenic water usage, such as for irrigation, is still not or poorly parameterized in regional- and larger-scale land surface models (LSMs). By contrast, sate...
Main Authors: | S. Modanesi, C. Massari, M. Bechtold, H. Lievens, A. Tarpanelli, L. Brocca, L. Zappa, G. J. M. De Lannoy |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-09-01
|
Series: | Hydrology and Earth System Sciences |
Online Access: | https://hess.copernicus.org/articles/26/4685/2022/hess-26-4685-2022.pdf |
Similar Items
-
Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land
by: S. Modanesi, et al.
Published: (2021-12-01) -
Irrigation Quantification Through Backscatter Data Assimilation With a Buddy Check Approach
by: L. Busschaert, et al.
Published: (2024-03-01) -
Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data
by: Pierre Baguis, et al.
Published: (2022-11-01) -
An inter-comparison of approaches and frameworks to quantify irrigation from satellite data
by: S. J. Kragh, et al.
Published: (2024-02-01) -
Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model
by: Zdenko Heyvaert, et al.
Published: (2024-06-01)