【摘要】 随着高分辨率卫星遥感技术的快速发展及其在生态学中的广泛应用，与时空分辨率相匹配的气象空间数据，成为生态系统过程模拟及变化驱动力分析的重要数据，也是全球气候变化背景下对空间异质性较高的陆地生态系统进行长期时空动态变化及机制研究的关键资料。为了得到与中分辨率成像光谱仪（MODIS）陆表产品时空分辨率相一致的气象空间数据，进而为估算中国陆地生态系统植被净初级生产力等提供气象输入数据，本研究采用2000～2012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、空间插值批处理代码的生成等操作，最后由ANUSPLINE软件插值生成1 km空间网格栅格数据。本栅格数据的公开共享和下载服务，可为我国陆地生态系统的时空变化研究提供数据支持。更多还原

【Abstract】 With the rapid development of satellite remote sensing techniques with high spatial resolution and their wide applications in the field of ecology, high-resolution meteorological spatial data have become popular in ecosystem process simulation systems, especially on spatiotemporal dynamics of terrestrial ecosystems with high spatial heterogeneity in the background of global climate change. Spatial meteorological data with high resolution consistent with the land surface data from MODIS is essential to estimating the net primary productivity of vegetation in terrestrial ecosystems of China. The temperature and precipitation datasets with a grid resolution of 1 km were produced based on the observed data from the National Meteorological Information Center(NMIC) of China Meteorological Administration and the Daily Global Historical Climatology Network-Daily(GHCN-D) during 2000–2012. The stations were selected in a region larger than the research area and data quality was evaluated. The eight-day average and total values were calculated for temperature and precipitation, respectively. Finally, the ANUSPLIN software was used to interpolate the observed meteorological data to a grid with high resolution(1-km). Those two annual data products can be used to further study the spatiotemporal changes in terrestrial ecosystems of China.更多还原