An interpolated temperature and precipitation dataset at 1-km grid resolution in China (2000 – 2012)

Abstract

<p indent="0mm">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 <sc>1 km</sc> 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.