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1960-2020年中国1公里分辨率月降水数据集 被引量:5

A dataset of monthly precipitation with resolution of 1 km in China from 1960 to 2020
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摘要 降水数据具有较高的理论研究与实践应用价值,已广泛应用于水文预报、农业生产以及生态保护等领域。我国地域辽阔,地形起伏变化较大,而气象站点多集中于人口密集的平原区域。山区等部分地区站点密度较小,缺少降水观测资料。因此利用插值方法建立高精度的降水数据集很有必要。本数据集基于1960–2020年全国地面2400多个气象站点的降水监测数据,利用气候数据空间插值软件ANUSPLIN4.4计算得到全国1 km空间分辨率逐月降水插值数据集。将本数据集与所收集的中国地区降水实测数据和中国水文年鉴降雨数据进行验证,结果表明,本数据集具有精度高、分辨率高、时序长等特点,具备更优的科学研究与应用潜力。 Precipitation data are greatly valuable in theoretical research and practical application,and have been widely used in hydrological forecasting,agricultural production,ecological protection and other fields.China has a vast territory with large topographic fluctuations,and most meteorological stations are located in densely populated plain areas.Due to the low density of stations,there is a lack of precipitation observation data in some areas such as mountainous areas.Therefore,it is necessary to use the interpolation method to establish high-precision precipitation datasets.Based on the precipitation monitoring data from more than 2,400 meteorological stations on the ground from 1960 to 2020,we used the climate data spatial interpolation software ANUSPLIN to obtain a dataset of monthly precipitation interpolation with a resolution of 1 km in China.According to the comparison between the dataset and the measured precipitation data as well as the hydrological yearbook data in China released by the CRU and Northwest University of agriculture and forestry science and technology,this dataset has the characteristics of high accuracy,high resolution and long time series,with great potential in scientific research and application.
作者 瞿莉莎 朱求安 朱超凡 张江 QU Lisha;ZHU Qiuan;ZHU Chaofan;ZHANG Jiang(School of hydrology and water resources,Hohai University,Nanjing 210000,P.R.China;National Earth System Science Data Center,National Science and technology infrastructure platform,Beijing 210000,P.R.China;Center for Ecological Forecasting and Global Change,College of Forestry,Northwest A&F University,Yangling 712100,P.R.China)
出处 《中国科学数据(中英文网络版)》 CSCD 2023年第2期281-292,共12页 China Scientific Data
基金 国家自然科学基金(42041005、U2243203) 第二次青藏高原科学考察研究项目(2019QZKK0304)。
关键词 降水 插值 中国 precipitation interpolation China
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