2000-2018年全国1km每8天精细格网化气象数据空间插值数据集

利用2000～2018年的全球日气候历史数据网络（Daily Global Historical Climatology Network-Daily，GHCN-D）和中国气象局国家气象信息中心制作的“中国地面气候资料日值数据集”，选取日降水和日均温两个要素，对其进行读取、合并、检查、统计、生成空间插值批处理代码等操作，最后由Anusplin软件插值生成1 km空间分辨率的栅格数据。其中2000-2012年数据集通过《中国科学数据》出版并共享，并于2020年获得第一届“ScienceDB”科学数据十佳数据集奖。

This dataset was developed using two data sources: the Daily Global Historical Climatology Network-Daily (GHCN-D) global daily historical climatic dataset for the period 2000–2018, and the Daily Dataset of Surface Climatic Data over China compiled by the National Meteorological Information Center of the China Meteorological Administration. Two core climatic variables, daily precipitation and daily mean air temperature, were selected for processing. A series of operations including data reading, merging, quality control, statistical analysis, and generation of spatial interpolation batch processing codes were conducted. Finally, spatial interpolation was performed using the Anusplin software to generate raster data with a spatial resolution of 1 km. The dataset covering the period 2000–2012 was published and shared via the journal "China Scientific Data", and was awarded the 1st "ScienceDB" Top 10 Scientific Datasets Award in 2020.

搜集汇总

背景与挑战

背景概述

该数据集为2000-2018年全国1km每8天精细格网化气象数据，包含日降水和日均温两个要素，通过Anusplin软件插值生成，存储量为99.14GB，曾获科学数据十佳数据集奖。