A global 1 km resolution daily near-surface air temperature dataset (2003 – 2020)
Posted on 2022-07-01 - 15:52 authored by Tao Zhang
This gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset (2003 – 2020) was generated using a seamless 1 km resolution land surface temperature dataset (2003 – 2020), 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 series can be found with the 2003 files.
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Zhang, Tao; Zhou, Yuyu (2022). A global 1 km resolution daily near-surface air temperature dataset (2003 – 2020). Iowa State University. Collection. https://doi.org/10.25380/iastate.c.6005185.v1
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FUNDING
Iowa State University College of Liberal Arts and Sciences (LAS) Dean’s Emerging Faculty Leaders Award
UNS: Integrated assessments of urbanization impacts on building energy use for urban energy sustainability
Directorate for Engineering
