%0 Dataset
%T Daily Precipitation Dataset for the Hanjiang River Basin from 2010 to 2016 Based on Classification, Regression, and Correction with Multi-source Fusion
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/daa4e8ab-de33-4113-9373-f82cd86fd95a
%W NCDC
%A LI Lingjie
%K precipitation
%X This dataset is based on MSWEP V2.1 and observed precipitation data from ground stations. Through a three-stage fusion framework of multi-source precipitation information that considers classification, regression and correction, and specifically uses geographically weighted logistic regression (GWLR) and geographically weighted regression (GWR) models to carry out daily precipitation fusion in the Hanjiang River Basin. The precipitation data of the Hanjiang River Basin from 2010 to 2016 is obtained, with a temporal resolution of day and a spatial resolution of 0.1°×0.1°. The statistical accuracy gain of remote sensing retrieved precipitation data and precipitation spatial interpolation data is quantified, the impact of terrain changes in complex river basins on the spatial pattern of precipitation is carefully described, and a long series of high-precision data sets are constructed.