Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs-Reference-Cited by-同舟云学术

Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs

Published:2020-05 Issue:5 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Li Fupeng¹²^ORCID,Kusche Jürgen²,Rietbroek Roelof²^ORCID,Wang Zhengtao¹^ORCID,Forootan Ehsan³⁴^ORCID,Schulze Kerstin²^ORCID,Lück Christina²

Affiliation:

1. School of Geodesy and Geomatics Wuhan University Wuhan China

2. Institute of Geodesy and Geoinformation University of Bonn Bonn Germany

3. Robert Bosch GmbH Germany

4. School of Earth and Ocean Sciences Cardiff University Cardiff UK

Funder

Deutsche Forschungsgemeinschaft

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR026551

Reference70 articles.

1. Understanding linkages between global climate indices and terrestrial water storage changes over Africa using GRACE products

2. On the computation of mass-change trends from GRACE gravity field time-series

3. Past terrestrial water storage (1980–2008) in the Amazon Basin reconstructed from GRACE and in situ river gauging data

4. Time-variable gravity fields derived from GPS tracking of Swarm

5. Pattern Recognition and Machine Learning

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