Global 1 km resolution daily near-surface air temperature for 2020

A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2020 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2020年全球（纬度范围50°S至79°N）1千米分辨率网格化近地表日最高、最低气温数据集。其制备依托无缝1千米分辨率地表温度数据集、30角秒（约1千米）分辨率数字高程模型（Digital Elevation Model, DEM）数据、气象台站气温观测数据，以及带符号保留的空间变系数模型（spatially varying coefficient model with sign preservation, SVCM-SP）算法。该网格化气温数据集在全球城市、气候与水文学研究中具有重要应用价值。本数据集的说明文档可参照2003年版数据的配套文档。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