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Global 1 km resolution daily near-surface air temperature for 2019

dataset
posted on 2022-11-01, 19:00 authored by Tao ZhangTao Zhang, Yuyu ZhouYuyu Zhou

A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2019 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

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

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