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...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-09-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://hess.copernicus.org/articles/26/4685/2022/hess-26-4685-2022.pdf |
| _version_ | 1818017208045928448 |
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| author | S. Modanesi S. Modanesi S. Modanesi C. Massari M. Bechtold H. Lievens A. Tarpanelli L. Brocca L. Zappa G. J. M. De Lannoy |
| author_facet | S. Modanesi S. Modanesi S. Modanesi C. Massari M. Bechtold H. Lievens A. Tarpanelli L. Brocca L. Zappa G. J. M. De Lannoy |
| author_sort | S. Modanesi |
| collection | DOAJ |
| description | <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, satellite observations are directly affected by, and hence potentially able to detect, irrigation as they sense the entire integrated soil–vegetation system. By integrating satellite observations and fine-scale
modelling it could thus be possible to improve estimation of irrigation
amounts at the desired spatial–temporal scale.</p>
<p>In this study we tested the potential information offered by Sentinel-1
backscatter observations to improve irrigation estimates, in the framework
of a data assimilation (DA) system composed of the Noah-MP LSM, equipped
with a sprinkler irrigation scheme, and a backscatter operator represented
by a water cloud model (WCM), as part of the NASA Land Information System
(LIS). The calibrated WCM was used as an observation operator in the DA
system to map model surface soil moisture and leaf area index (LAI) into
backscatter predictions and, conversely, map observation-minus-forecast
backscatter residuals back to updates in soil moisture and LAI through an
ensemble Kalman filter (EnKF).</p>
<p>The benefits of Sentinel-1 backscatter observations in two different
polarizations (VV and VH) were tested in two separate DA experiments,
performed over two irrigated sites, the first one located in the Po Valley
(Italy) and the second one located in northern Germany. The results confirm
that VV backscatter has a stronger link with soil moisture than VH
backscatter, whereas VH backscatter observations introduce larger updates in the vegetation state variables. The backscatter DA introduced both
improvements and degradations in soil moisture, evapotranspiration and
irrigation estimates. The spatial and temporal scale had a large impact on
the analysis, with more contradicting results obtained for the evaluation at the fine agriculture scale (i.e. field scale). Above all, this study sheds light on the limitations resulting from a poorly parameterized sprinkler irrigation scheme, which prevents improvements in the irrigation simulation due to DA and points to future developments needed to improve the system.</p> |
| first_indexed | 2024-04-14T07:24:20Z |
| format | Article |
| id | doaj.art-2cf24a549a8c4563a325354c26beb344 |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-04-14T07:24:20Z |
| publishDate | 2022-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-2cf24a549a8c4563a325354c26beb3442022-12-22T02:06:03ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382022-09-01264685470610.5194/hess-26-4685-2022Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MPS. Modanesi0S. Modanesi1S. Modanesi2C. Massari3M. Bechtold4H. Lievens5A. Tarpanelli6L. Brocca7L. Zappa8G. J. M. De Lannoy9Research Institute for Geo-hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128 Perugia, ItalyDepartment of Earth and Environmental Sciences, KU Leuven, Heverlee, BelgiumDICEA Dept. of Civil and Environmental Engineering, University of Florence, Via di S. Marta 3, 50139 Firenze, ItalyResearch Institute for Geo-hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128 Perugia, ItalyDepartment of Earth and Environmental Sciences, KU Leuven, Heverlee, BelgiumDepartment of Environment, Ghent University, Coupure links 653, 9000 Ghent, BelgiumResearch Institute for Geo-hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128 Perugia, ItalyResearch Institute for Geo-hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128 Perugia, ItalyDepartment of Geodesy and Geoinformation, Technische Universität Wien (TU Wien), Wiedner Hauptstraße 8–10, 1040 Vienna, AustriaDepartment of Earth and Environmental Sciences, KU Leuven, Heverlee, Belgium<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, satellite observations are directly affected by, and hence potentially able to detect, irrigation as they sense the entire integrated soil–vegetation system. By integrating satellite observations and fine-scale modelling it could thus be possible to improve estimation of irrigation amounts at the desired spatial–temporal scale.</p> <p>In this study we tested the potential information offered by Sentinel-1 backscatter observations to improve irrigation estimates, in the framework of a data assimilation (DA) system composed of the Noah-MP LSM, equipped with a sprinkler irrigation scheme, and a backscatter operator represented by a water cloud model (WCM), as part of the NASA Land Information System (LIS). The calibrated WCM was used as an observation operator in the DA system to map model surface soil moisture and leaf area index (LAI) into backscatter predictions and, conversely, map observation-minus-forecast backscatter residuals back to updates in soil moisture and LAI through an ensemble Kalman filter (EnKF).</p> <p>The benefits of Sentinel-1 backscatter observations in two different polarizations (VV and VH) were tested in two separate DA experiments, performed over two irrigated sites, the first one located in the Po Valley (Italy) and the second one located in northern Germany. The results confirm that VV backscatter has a stronger link with soil moisture than VH backscatter, whereas VH backscatter observations introduce larger updates in the vegetation state variables. The backscatter DA introduced both improvements and degradations in soil moisture, evapotranspiration and irrigation estimates. The spatial and temporal scale had a large impact on the analysis, with more contradicting results obtained for the evaluation at the fine agriculture scale (i.e. field scale). Above all, this study sheds light on the limitations resulting from a poorly parameterized sprinkler irrigation scheme, which prevents improvements in the irrigation simulation due to DA and points to future developments needed to improve the system.</p>https://hess.copernicus.org/articles/26/4685/2022/hess-26-4685-2022.pdf |
| spellingShingle | S. Modanesi S. Modanesi S. Modanesi C. Massari M. Bechtold H. Lievens A. Tarpanelli L. Brocca L. Zappa G. J. M. De Lannoy Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP Hydrology and Earth System Sciences |
| title | Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP |
| title_full | Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP |
| title_fullStr | Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP |
| title_full_unstemmed | Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP |
| title_short | Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP |
| title_sort | challenges and benefits of quantifying irrigation through the assimilation of sentinel 1 backscatter observations into noah mp |
| url | https://hess.copernicus.org/articles/26/4685/2022/hess-26-4685-2022.pdf |
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