NASA LDAS Land Surface Model Data with 43 Variables

The dataset contains 43 model and observation-based fields produced by the NASA Goddard Space Flight Center's Land Data Assimilation System (LDAS) using the Mosaic Land Surface Model. It provides a multi-variable view of land surface states and fluxes. The data is authored by NASA and has been updated as recently as 2026.

Use Cases

• Analyzing soil moisture water content and runoff for hydrological modeling.
• Studying land surface temperature and surface thermal properties for energy balance research.
• Investigating atmospheric variables like surface pressure, air temperature, humidity, and winds.
• Modeling vegetation dynamics and canopy characteristics using land cover classification data.
• Assessing precipitation amount and snow/ice cryosphere data for climate studies.

Strengths

• Contains 43 distinct model and observation-based fields for detailed analysis.
• Produced by NASA Goddard Space Flight Center, indicating authoritative sourcing.
• Cross-platform presence on Data.gov and NASA EarthData signals established use.

Limitations

• Specific row count, file size, and column names are not provided by any source.
• Sources conflict on the last updated date (2003 on NASA EarthData vs. 2026 on Data.gov).
• The exact temporal and spatial coverage of the data is not specified.

Provenance

Source

National Aeronautics and Space Administration (NASA Goddard Space Flight Center)

Collection Method

Generated by the LDAS uncoupled modeling system using the Mosaic Land Surface Model (LSM).

Time Range

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Freshness

2026-03-13 03:16:17.009137

Geography

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