Published April 3, 2025 | Version v1

Global 0.05° daily mean land surface temperature product (1981-2000)

  • 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
  • 2. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences

Description

Based on observational data from flux tower sites worldwide, we developed a weighted averaging method that integrates daytime and nighttime measurements to estimate daily mean land surface temperature (DMLST). This method was further combined with the instantaneous LST product derived from NOAA/AVHRR to generate a global daily mean LST dataset at a spatial resolution of 0.05°, covering the period from 1981 to 2023.

The dataset is provided with a scaling factor of 0.01.

Specifically, the dataset provided here covers the period from 1981 to 2000.

 

 

Files

Files (23.0 GB)

Name Size
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