%0 Dataset
%T 0.01° high-resolution ten-day precipitation dataset in the Yellow River Delta (2010-2024)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/4051d781-2e79-4828-aecc-24628e70b2c6
%W NCDC
%R 10.57760/sciencedb.j00001.01679
%A Wang Lulu
%A Liang Hongru
%A Chen Yong
%A Liu Wei
%A Liu Dehu
%A Sang Guoqing
%A Wang Qi
%A Liu Yang
%A Shao Guangwen
%K Yellow River Delta;ten-day precipitation;spatial interpolation;high-resolution dataset
%X Facing the needs of fine characterization and time series analysis of precipitation in the Yellow River Delta region, this dataset is based on the ten-day precipitation observation data from surface stations from 2010 to 2024 and the China Regional Surface Meteorological Element Driven Data Set (CMFD) 2.0. Through the method of combining month-scale trend term fitting and ten-day scale residual ordinary kriging, a ten-day precipitation dataset with a spatial resolution of 0.01° is constructed. The dataset covers the Yellow River Delta area, contains a total of 540 ten-scale phases, 7722 grid cells, and provides NetCDF and TIFF files. The key parameters of ordinary kriging were calibrated using data from the 2021-2023 flood season encryption stations, and the data from the 2024 flood season encryption stations and the 2010-2019 National Meteorological Station were used for independent verification. The results show that the dataset can better reflect the spatio-temporal variation characteristics of regional precipitation, and can provide basic data support for research and applications such as hydrological simulation, ecological environment assessment, agricultural management, drought and flood monitoring and early warning.