Global Daily Air Temperature at 1 km Resolution for 2020

104.4 GB of gridded daily maximum and minimum near-surface air temperature data at 1 km resolution for the global land area between 50°S and 79°N for the year 2020. The dataset was generated by Yuyu Zhou using a seamless land surface temperature dataset, a digital elevation model, and weather station observations with a spatially varying coefficient model algorithm. It is intended for global studies in urban, climate, and hydrology research.

Use Cases

• Modeling urban heat island effects based on high-resolution (1 km) global temperature data.
• Studying climate change impacts on hydrology based on daily maximum and minimum temperature grids.
• Calibrating regional climate models based on the integration of land surface temperature and station observations.
• Analyzing global temperature variability and extremes for a specific year (2020).

Strengths

• Global coverage at a high spatial resolution of 1 km.
• Includes daily maximum and minimum temperature values for temporal analysis.
• Generated using a documented methodology combining satellite-derived land surface temperature, DEM, and ground station data.
• Large dataset size (104.4 GB) indicates detailed spatial and temporal granularity.

Limitations

• Data is for a single year (2020), limiting long-term trend analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The spatial coverage is limited to land areas between 50°S and 79°N, excluding polar regions.

Provenance

Source

Yuyu Zhou via figshare.

Collection Method

Generated using a seamless 1 km land surface temperature dataset, a 1 km digital elevation model, air temperature observations from weather stations, and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm.

Time Range

2020

Freshness

Last updated 2026-04-16 09:11:48; freshness should be verified.

Geography

Global land area (50°S to 79°N).