The Improved Frequency Distribution and Wind Corrected Precipitation Dataset for the Qinghai-Tibet Plateau is a dataset for the Qinghai-Tibet Plateau that has been revised for wind-induced precipitation losses and optimised for precipitation frequency distribution. The data is available in NETCDF format with a temporal resolution of 1 day and a horizontal spatial resolution of 10 km, and can be used as a reference data source for numerical model precipitation frequency correction.
The dataset uses 164 daily observations from CMA and GSOD as the data source. The data were generated in four steps: (1) Firstly, quality control of the observations was performed, including outliers and bad value removal. (2) Compensation for observation losses mainly caused by wind was performed. (3) The monthly precipitation totals were interpolated using a spline function considering elevation, and the ratio of daily to monthly precipitation was interpolated using ordinary kriging, and the two parts were multiplied to obtain the 1km spatial resolution data. (4) Aggregate the 1km spatial resolution data to 10km spatial resolution to obtain the final data.
Compared to international comparable grid point precipitation data, this data has been revised for wind-induced precipitation observation losses and optimised for accuracy in precipitation frequency distributions through interpolation methods. The data are suitable for correcting statistical biases in the numerical model output of precipitation or for analysing the frequency characteristics of precipitation at grid points.
The dataset uses 164 daily observations from CMA and GSOD as the data source. The data were generated in four steps: (1) Firstly, quality control of the observations was performed, including outliers and bad value removal. (2) Compensation for observation losses mainly caused by wind was performed. (3) The monthly precipitation totals were interpolated using a spline function considering elevation, and the ratio of daily to monthly precipitation was interpolated using ordinary kriging, and the two parts were multiplied to obtain the 1km spatial resolution data. (4) Aggregate the 1km spatial resolution data to 10km spatial resolution to obtain the final data. Projection information: Lambert equirectangular 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)
Good data quality
| # | 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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CSTR:11738.11.ncdc.nieer.2020.1686
10.12072/ncdc.NIEER.db0108.2020