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A new daily gridded precipitation dataset for the Chinese mainland based on gauge observations

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DataCite Commons2025-05-01 更新2024-08-18 收录
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https://figshare.com/articles/dataset/A_new_daily_gridded_precipitation_dataset_based_on_gauge_observations_across_mainland_China/21432123/3
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The new daily gridded precipitation dataset over the Chinese mainland (CHM_PR) is a long-term precipitation dataset with fine spatiotemporal resolution developed to facilitate the advancement of drought monitoring, flood forecasting, and hydrological modeling. Its record starts from 1961 and keeps updating yearly (currently up to 2022) with spatial resolutions of 0.5° × 0.5°, 0.25° × 0.25°, and 0.1° × 0.1°. Using daily observations from 2,839 gauges across China and nearby regions, the dataset was made through the daily climatology field combined with the precipitation ratio field algorithm that adjusted the climatology based on monthly precipitation constraint and topographic characteristic correction. <br> Global attributes: ·<strong> </strong>Variable = daily precipitation (pre) ·<strong> </strong>Variable = number of stations in each grid every year (station_number) · Date format = NetCDF · Temporal Range = 1961-01-01 to 2022-12-31 · Spatial extent = 18°N–54°N, 72°E–136°E · Units = mm/day · Missing value = -99.9 <br>

中国大陆逐日网格化降水数据集(CHM_PR)是一套具备精细时空分辨率的长时序降水数据集,旨在助力干旱监测、洪水预报与水文模拟等领域的研究发展。该数据集的观测记录始于1961年,且每年持续更新,当前最新数据截止至2022年,空间分辨率涵盖0.5°×0.5°、0.25°×0.25°及0.1°×0.1°三种规格。 本数据集依托中国及周边地区2839个雨量站的逐日观测资料构建,通过结合逐日气候场与降水比率场算法实现:该算法以月降水量为约束条件对气候场进行校正,并结合地形特征开展修正。 全局属性: · 变量:逐日降水量(daily precipitation, pre) · 变量:单网格年度站点数(station_number) · 数据格式:NetCDF · 时间范围:1961-01-01 至 2022-12-31 · 空间范围:18°N–54°N,72°E–136°E · 单位:毫米/日(mm/day) · 缺失值:-99.9
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figshare
创建时间:
2023-04-05
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