TY  - Data
T1  - Long-term daily precipitation dataset for the Loess Plateau from 1982 to 2020
A1  - ZHANG Baoqing 
PY  - 2026
DA  - 2026-05-21
PB  - National Cryosphere Desert Data Center
AB  - Precipitation time series data are critical foundational data for global and regional climate research, hydrological modeling, and ecosystem assessments. However, despite the availability of various existing precipitation data products, the assessment of long-term precipitation dynamics and trend changes at the regional scale remains subject to a degree of uncertainty. This uncertainty stems primarily from the uneven distribution of observational stations across the Loess Plateau and systematic biases between reanalysis data and measured values. To address this, this study utilizes the China Meteorological Forcing Dataset (CMFD) version 1.7 to generate a historical precipitation data product for the Loess Plateau covering the period from 1982 to 2020. The spatial coverage of the dataset spans from 33.75°N to 41.25°N and 100.95°E to 114.55°E, with a high spatial resolution of 0.1° and a daily temporal resolution. Compared to other datasets, the core advantage of this product lies in its ability to provide high-resolution precipitation data that can more finely characterize the spatio-temporal distribution of precipitation. This significantly enhances the simulation of localized extreme precipitation events, thereby offering more reliable data support for regional climate modeling, hydrological process analysis, and research on extreme precipitation events.This dataset is stored in NetCDF format (*.nc). The naming convention of data files is LoessPlateau_prec_1982_2020, in which LoessPlateau represents the study area and prec denotes the variable name.The precipitation variable in the files is named yearly_day_prec, with a temporal resolution of daily and a spatial resolution of 10 km, covering the period from 1982 to 2020. Variables lat and lon represent the latitude and longitude of grid points respectively.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/9c0c0d92-4fd0-4f95-bc74-9c7e024859c1
ER  -