Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model-Reference-Cited by-同舟云学术

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Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model

Published:2024-02 Issue: Volume:912 Page:169476
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Forootan Ehsan,Mehrnegar Nooshin,Schumacher Maike,Schiettekatte Leire Anne Retegui,Jagdhuber Thomas,Farzaneh Saeed,van Dijk Albert I.J.M.,Shamsudduha Mohammad,Shum C.K.

Funder

National Geospatial-Intelligence Agency

H2020 Marie Skłodowska-Curie Actions

European Commission Marie Sklodowska-Curie Actions

Independent Research Fund Denmark

Danmarks Frie Forskningsfond

United States Agency for International Development

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference101 articles.

1. Buffering the impacts of extreme climate variability in the highly engineered Tigris Euphrates River system;Abdelmohsen;Sci. Rep.,2022

2. Remote sensing of drought: vegetation, soil moisture, and data assimilation;Ahmadalipour,2017

3. Understanding linkages between global climate indices and terrestrial water storage changes over Africa using GRACE products;Anyah;Sci. Total Environ.,2018

4. The Antarctica component of postglacial rebound model ice-6g_c (vm5a) based on gps positioning, exposure age dating of ice thicknesses, and relative sea level histories;Argus;Geophys. J. Int.,2014

5. Uncertainties in remotely sensed precipitation data over Africa;Awange;Int. J. Climatol.,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling for sustainable groundwater management: Interdependence and potential complementarity of process-based, data-driven and system dynamics approaches;Science of The Total Environment;2024-11

2. How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change: A review;IEEE Geoscience and Remote Sensing Magazine;2024-06

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