Global Daily Near-Surface Air Temperature at 1 km Resolution for 2020

104.2 GB of gridded daily maximum and minimum near-surface air temperature data at 1 km resolution for the global region between 50°S and 79°N for the year 2020. The dataset was generated by author 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 was last updated on the figshare platform in April 2026.

Use Cases

• Modeling urban heat island effects based on high-resolution global temperature data.
• Conducting climate change impact studies based on daily maximum and minimum temperature grids.
• Hydrological modeling based on spatially continuous near-surface air temperature inputs.
• Validating regional climate models based on a 1 km resolution synthetic temperature product.

Strengths

• High spatial resolution of 1 km for global temperature data.
• Large data volume of 104.2 GB, indicating detailed spatial and temporal coverage.
• Covers a broad geographic range from 50°S to 79°N.
• Provides both daily maximum and minimum temperature variables.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's row count and specific internal structure are unknown.
• Data may reflect geographic or temporal bias inherent to the source models and station observations.

Provenance

Source

Yuyu Zhou via figshare.

Collection Method

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

Time Range

2020

Freshness

Last updated 2026-04-16 09:12:06; freshness should be verified.

Geography

Global (50°S to 79°N).