Development of a multidecadal land reanalysis over High Mountain Asia.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
27 Jul 2024
27 Jul 2024
Historique:
received:
01
12
2023
accepted:
12
07
2024
medline:
28
7
2024
pubmed:
28
7
2024
entrez:
27
7
2024
Statut:
epublish
Résumé
Anthropogenic and climatic changes affect the water and energy cycles in High Mountain Asia (HMA), home to over two billion people and the largest reservoirs of freshwater outside the polar zone. Despite their significant importance for water management, consistent and reliable estimates of water storage and fluxes over the region are lacking because of the high uncertainties associated with the estimates of atmospheric conditions and human management. Here, we relied on multivariate data assimilation (MVDA) to provide estimates of energy and water storage and fluxes that reflect the processes occurring in the region such as greening and irrigation-driven groundwater depletion. We developed and employed an ensemble precipitation estimate by blending different precipitation products thereby reducing the uncertainties and inconsistencies associated with precipitation in HMA. Then, we assimilated five variables that capture the changes in hydrology in response to climate change and anthropogenic activities. Overall, our results have shown that MVDA has allowed a better representation of the land surface processes including greening and irrigation-driven groundwater depletion in HMA.
Identifiants
pubmed: 39068191
doi: 10.1038/s41597-024-03643-z
pii: 10.1038/s41597-024-03643-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
827Subventions
Organisme : National Aeronautics and Space Administration (NASA)
ID : 19-HMA19-0012
Informations de copyright
© 2024. The Author(s).
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