Daymet v4 Daily Weather Aggregated to U.S. Census Geographies, 1980-2020

1980-2020 daily surface weather data from the Daymet v4 1-kilometer grid, aggregated to commonly-used U.S. Census Bureau TIGER/Line geographies. This repository, created by Edgar Castro of Harvard University, contains data aggregated as of May 2021 to facilitate simpler use in ecological studies by reducing the original multi-terabyte dataset to more manageable files.

Use Cases

• Modeling ecological responses to climate variables based on daily weather data aggregated to census units.
• Analyzing long-term climate trends across U.S. regions based on the 40-year time series.
• Correlating socioeconomic data from the Census with local weather patterns based on shared TIGER/Line geographies.

Strengths

• Covers a 40-year time range from 1980 to 2020.
• Data is aggregated to standardized U.S. Census geographies, facilitating integration with demographic datasets.
• Files are described as 'much smaller' than the original 3-terabyte source, improving accessibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Larger files have been split due to platform limitations, requiring concatenation before use.
• Last update date is unknown; freshness unverified.

Provenance

Source

ORNL DAAC Daymet v4 data and U.S. Census Bureau TIGER/Line geographies.

Collection Method

Aggregation of a 1-kilometer grid to census geographies using code from the ercas/daymet-aggregation GitHub repository.

Time Range

1980-2020

Freshness

Data aggregated as of May 2021; update frequency unknown.

Geography

United States, aggregated to various U.S. Census Bureau TIGER/Line geographies.