The improved frequency distribution and wind speed correction grid precipitation data set is a set of data set suitable for the Qinghai Tibet plateau after the correction of precipitation observation loss caused by wind and the optimization of precipitation frequency distribution. The data are in NetCDF format with a temporal resolution of 1 day and a horizontal spatial resolution of 10km. The data can be used as a reference data source for precipitation frequency correction of numerical model. The dataset uses 164 daily observations from China Meteorological Administration and gsod as data sources. The data generation is divided into four steps: (1) firstly, the quality control of the observation data is carried out, including the removal of outliers and bad values. (2) The observation loss caused by wind is compensated. (3) The spline function considering altitude is used to interpolate the total monthly precipitation, and the ordinary Kriging method is used to interpolate the ratio of daily precipitation to monthly precipitation, and the two parts are multiplied to obtain the data with 1km spatial resolution. (4) The average data of 1km spatial resolution is aggregated to 10km spatial resolution to get the final data. Compared with the international similar grid precipitation data, this data corrected the precipitation observation loss caused by wind, and optimized the interpolation method to make it more accurate in the frequency distribution of precipitation. The data can be used to correct the statistical deviation of precipitation output from the numerical model or to analyze the precipitation frequency characteristics on grid points.
The dataset uses 164 daily observations from China Meteorological Administration and gsod as data sources. The data generation is divided into four steps: (1) firstly, the quality control of the observation data is carried out, including the removal of outliers and bad values. (2) The observation loss caused by wind is compensated. (3) The spline function considering altitude is used to interpolate the total monthly precipitation, and the ordinary Kriging method is used to interpolate the ratio of daily precipitation to monthly precipitation, and the two parts are multiplied to obtain the data with 1km spatial resolution. (4) The average data of 1km spatial resolution is aggregated to 10km spatial resolution to get the final data. Projection information: Lambert equiangular conic projection (+ proj = LCC + LAT)_ 1=30 +lat_ 2=35 +lat_ 0=30 +lon_ 0=87 +x_ 0=0 +y_ 0=0 +datum=WGS84 +units=m +no_ defs）
| # | number | name | type |
| 1 | XDA19070302 | other | |
| 2 | 41971399 | National Natural Science Foundation of China | |
| 3 | 2020-ZJ-731 | Natural Science Foundation of Gansu Province |
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