A hierarchical Constrained Bayesian (ConBay) approach to jointly estimate water storage and Post-Glacial Rebound from GRACE(-FO) and GNSS data-Reference-Cited by-同舟云学术

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A hierarchical Constrained Bayesian (ConBay) approach to jointly estimate water storage and Post-Glacial Rebound from GRACE(-FO) and GNSS data

Published:2022-07-22 Issue:1 Volume:34 Page:120-146
ISSN:2766-9645
Container-title:All Earth
language:en
Short-container-title:All Earth

Author:

Forootan Ehsan¹^ORCID,Mehrnegar Nooshin¹^ORCID

Affiliation:

1. Geodesy Group, Department of Planning, Aalborg University, Aalborg, Denmark

Funder

Danmarks Frie Forskningsfond

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Management, Monitoring, Policy and Law,Global and Planetary Change

Link

https://www.tandfonline.com/doi/pdf/10.1080/27669645.2022.2097768

Reference141 articles.

1. Seasonal variation in total water storage in California inferred from GPS observations of vertical land motion

2. 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

3. Rise of Great Lakes Surface Water, Sinking of the Upper Midwest of the United States, and Viscous Collapse of the Forebulge of the Former Laurentide Ice Sheet

4. The Viscosity of the Top Third of the Lower Mantle Estimated Using GPS, GRACE, and Relative Sea Level Measurements of Glacial Isostatic Adjustment

5. Water storage changes and climate variability within the Nile Basin between 2002 and 2011

Cited by 3 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. Assessing GNSS hydrological monitoring capability across different climatic settings in China;Geodesy and Geodynamics;2024-08

2. 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;Science of The Total Environment;2024-02

3. Making the Best Use of GRACE, GRACE‐FO and SMAP Data Through a Constrained Bayesian Data‐Model Integration;Water Resources Research;2023-08-31

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