TY  - Data
T1  - A Calibrated Raindrop size distribution dataset (2022-2023) from Liupan Mountains Precipitation Observational Network, Northwestern China
A1  - Zhaoguo
DO  - 10.12072/ncdc.nieer.db7453.2026
PY  - 2026
DA  - 2026-06-15
PB  - National Cryosphere Desert Data Center
AB  - Accurate measurement of raindrop size distribution (DSD) is the basis for precipitation microphysics research and quantitative precipitation estimation. However, the widely used OTT Parsivel-2 scatterometer has systematic deviations under complex terrain conditions, which affects data reliability. We have established a calibrated DSD data set for the Liupanshan area in northwest China through the Parsivel²-2DVD observation project simultaneously carried out from May to August 2022. A two-stage iterative calibration method was used to adjust the rainfall speed of each diameter level to theoretical values, and the concentration correction matrix P(i) was optimized for four rainfall intensity intervals. This calibration significantly improves the accuracy of DSD moment estimation: the normalized absolute error (NAE) for the 0th moment is reduced from 82% to 2%, and the correlation coefficient (CC) for the 4th moment is increased from 0.87 to 0.99. The effectiveness of the method was confirmed by independent verification of rain gauge observation data from five station networks over the past two years.The dataset adopts NetCDF4 format and follows the CCBY4.0 license agreement. It contains DSD spectral data with a resolution of 1 minute. It contains information on the final falling velocity and raindrop concentration of precipitation after classification. It can support precipitation microphysical characteristics analysis, radar quantitative precipitation estimation, numerical weather prediction, and hydrological simulation in areas with complex terrain.We provide a Python calibration code example that automatically completes data reading. Naming rule for data files: CX202206211931_2030.nc, where CX is the site code (LP/KT/CX/PY/ZY), 20220621 is the month, and 1931_2030 is the time interval, resolution (1min)-refer to the README file in the data package for detailed variable descriptions and units.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/c96a135d-7ace-4a83-82a5-104dac71c9dd
ER  -