Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-521-2023
https://doi.org/10.5194/essd-15-521-2023
Data description paper
 | 
02 Feb 2023
Data description paper |  | 02 Feb 2023

Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data

Jianxin Zhang, Kai Liu, and Ming Wang

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Cited articles

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Anderson, B., Mackintosh, A., Stumm, D., George, L., Kerr, T., Winter-Billington, A., and Fitzsimons, S.: Climate sensitivity of a high-precipitation glacier in New Zealand, J. Glaciol., 56, 114–128, 2010. 
Bergmann-Wolf, I., Forootan, E., Klemann, V., Kusche, J., and Dobslaw, H.: Updating ESA’s Earth System Model for Gravity Mission Simulation Studies: 3. A Realistically Perturbed Non-Tidal Atmosphere and Ocean De-Aliasing Model, Scientific Technical Report; 14/09, Potsdam,Deutsches GeoForschungsZentrum GFZ, 62 pp., https://doi.org/10.2312/GFZ.b103-14091, 2015. 
Brakenridge, G. R.: Global Active Archive of Large Flood Events. Dartmouth Flood Observatory, University of Colorado, USA, http://floodobservatory.colorado.edu/Archives/, last access: 1 January 2022. 
Cazenave, A. and Chen, J.: Time-variable gravity from space and present-day mass redistribution in theEarth system, Earth Planet. Sc. Lett., 298, 263–274, 2010. 
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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.
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