Global 1 km resolution daily near-surface air temperature for 2016

A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2016 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185

本数据集为2016年覆盖南北纬50°~79°的全球1公里分辨率网格化逐日近地表最高、最低气温数据集，其生成依托无缝1公里分辨率地表温度数据集、30角秒（约1公里）分辨率数字高程模型（Digital Elevation Model，DEM）数据、气象站气温观测数据，以及带符号保留的空间变系数模型（Sign Preservation Spatially Varying Coefficient Model，SVCM-SP）算法。该网格化气温数据集可广泛应用于城市、气候及水文学领域的全球尺度研究。本数据集的相关文档可参照2003年版数据集的配套说明资料。其他年份的数据集可通过以下链接获取：https://doi.org/10.25380/iastate.c.6005185