Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-521-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-521-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 Feb 2023
Data description paper |
| 02 Feb 2023
| 02 Feb 2023
Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data
Jianxin Zhang
School of National Safety and Emergency Management, Beijing Normal
University, 100875 Beijing, China
School of Systems Science, Beijing Normal University, 100875 Beijing,
China
Kai Liu
CORRESPONDING AUTHOR
School of National Safety and Emergency Management, Beijing Normal
University, 100875 Beijing, China
Ming Wang
School of National Safety and Emergency Management, Beijing Normal
University, 100875 Beijing, China
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Cited
16 citations as recorded by crossref.
- Assessing daily GRACE Data Assimilation during flood events of the Brahmaputra River Basin L. Retegui-Schiettekatte et al. 10.1016/j.scitotenv.2025.179181
- Application of GRACE-based satellite estimates in the assessment of flood potential: A case study of Gangetic-Brahmaputra basin, India S. Sen et al. 10.1007/s10661-024-13174-0
- Evaluating flood potential in the Mahanadi River Basin, India, using Gravity Recovery and Climate Experiment (GRACE) data and topographic flood susceptibility index under non-stationary framework S. Bhere & M. Reddy 10.1007/s11356-024-32105-7
- Long short-term memory exploitation of satellite gravimetry to infer floods O. Sorkhabi & J. Awange 10.1016/j.jag.2025.104562
- PDFID: A high-resolution flood inundation dataset with a long time series L. Chen et al. 10.1016/j.ejrh.2024.101715
- Enhanced Flood Monitoring in the Pearl River Basin via GAIN-Reconstructed GRACE Terrestrial Water Storage Anomalies J. Wang et al. 10.3390/rs16244727
- Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential B. Khorrami et al. 10.1016/j.jhydrol.2023.129929
- Investigating the role of refining urban flood direct loss in enhancing the accuracy of indirect economic loss assessment L. Zhuang et al. 10.1016/j.ijdrr.2024.104285
- The Asymmetric Effects of Extreme Climate Risk Perception on Coal Futures Return Dynamics: Evidence from Nonparametric Causality-In-Quantiles Tests W. Gao et al. 10.3390/su15108156
- Flood occurrence and impact models for socioeconomic applications over Canada and the United States M. Grenier et al. 10.5194/nhess-24-2577-2024
- A review of flash flood hazards influenced by various solid material sources in mountain environment G. Fei et al. 10.1177/03091333241280626
- Filling the data gap between GRACE and GRACE-FO based on a two-step reconstruction method F. Hu et al. 10.1080/17538947.2025.2468418
- Assessing and attributing flood potential in Brazil using GPS 3D deformation X. Yang et al. 10.1016/j.rse.2024.114535
- Spatio-Temporal Analysis of Water Dynamics of a Large-Scale Plain Region Using Remote Sensing and Proxy Variables E. Gómez et al. 10.1007/s41748-025-00673-4
- High-risk driving factors of rain-induced flooding hazard events on the Loess Plateau and its ecological subregions W. Zhao et al. 10.1016/j.jhydrol.2024.132475
- Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data J. Zhang et al. 10.5194/essd-15-521-2023
15 citations as recorded by crossref.
- Assessing daily GRACE Data Assimilation during flood events of the Brahmaputra River Basin L. Retegui-Schiettekatte et al. 10.1016/j.scitotenv.2025.179181
- Application of GRACE-based satellite estimates in the assessment of flood potential: A case study of Gangetic-Brahmaputra basin, India S. Sen et al. 10.1007/s10661-024-13174-0
- Evaluating flood potential in the Mahanadi River Basin, India, using Gravity Recovery and Climate Experiment (GRACE) data and topographic flood susceptibility index under non-stationary framework S. Bhere & M. Reddy 10.1007/s11356-024-32105-7
- Long short-term memory exploitation of satellite gravimetry to infer floods O. Sorkhabi & J. Awange 10.1016/j.jag.2025.104562
- PDFID: A high-resolution flood inundation dataset with a long time series L. Chen et al. 10.1016/j.ejrh.2024.101715
- Enhanced Flood Monitoring in the Pearl River Basin via GAIN-Reconstructed GRACE Terrestrial Water Storage Anomalies J. Wang et al. 10.3390/rs16244727
- Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential B. Khorrami et al. 10.1016/j.jhydrol.2023.129929
- Investigating the role of refining urban flood direct loss in enhancing the accuracy of indirect economic loss assessment L. Zhuang et al. 10.1016/j.ijdrr.2024.104285
- The Asymmetric Effects of Extreme Climate Risk Perception on Coal Futures Return Dynamics: Evidence from Nonparametric Causality-In-Quantiles Tests W. Gao et al. 10.3390/su15108156
- Flood occurrence and impact models for socioeconomic applications over Canada and the United States M. Grenier et al. 10.5194/nhess-24-2577-2024
- A review of flash flood hazards influenced by various solid material sources in mountain environment G. Fei et al. 10.1177/03091333241280626
- Filling the data gap between GRACE and GRACE-FO based on a two-step reconstruction method F. Hu et al. 10.1080/17538947.2025.2468418
- Assessing and attributing flood potential in Brazil using GPS 3D deformation X. Yang et al. 10.1016/j.rse.2024.114535
- Spatio-Temporal Analysis of Water Dynamics of a Large-Scale Plain Region Using Remote Sensing and Proxy Variables E. Gómez et al. 10.1007/s41748-025-00673-4
- High-risk driving factors of rain-induced flooding hazard events on the Loess Plateau and its ecological subregions W. Zhao et al. 10.1016/j.jhydrol.2024.132475
Latest update: 29 Aug 2025
Short summary
This study successfully extracted global flood days based on gravity satellite and precipitation data between 60° S and 60° N from 1 April 2002 to 31 August 2016. Our flood days data performed well compared with current available observations. This provides an important data foundation for analyzing the spatiotemporal distribution of large-scale floods and exploring the impact of ocean–atmosphere oscillations on floods in different regions.
This study successfully extracted global flood days based on gravity satellite and precipitation...
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