%0 Dataset
%T Using the GRACE Land Water Storage and Extreme Precipitation Flood Detection Dataset (2002-2016)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/46af7249-d159-4ab9-9c7a-38f0054bc5ce
%W NCDC
%R 10.5281/zenodo.6831384
%A Liu Kai
%K GRACE;Extreme precipitation;floods;detection
%X The products during the flood season are sourced from GRACE land water storage and extreme precipitation. We used GRACE land water storage precipitation data, combined with high-frequency filtering, anomaly detection, and flood potential index methods, to successfully extract the global historical flood days from April 1, 2002 to August 31, 2016. We further compared and validated the data with Dartmouth Flood Observatory (DFO) data, Global Runoff Data Center (GRDC) flow data, news reports, and social media data. The results indicate that GRACE based flood days can cover 81% of flood events in the DFO database, 87% of flood events extracted by MODIS, and supplement many other flood events not recorded by DFO. In addition, compared with the flood events obtained from GRDC flow data, the detection probability of 261 watersheds is greater than or equal to 0.5, with a probability of 62%. These detection capabilities and results are both very good. We finally provide flood day products with a 1 ° spatial resolution covering the range of 60 ° S-60 ° N from April 1, 2002 to August 31, 2016. This study provides a data foundation for the mechanism analysis and attribution of global flood events.