74 years of daily hydrometeorological data at 4-km spatial resolution for the western United States. The dataset, generated by forcing the Noah-MP land surface model with observed meteorological data, was created by Gavin Madakumbura and last updated in May 2026. It provides variables like surface energy fluxes, soil moisture, snow water equivalent, and evapotranspiration components.
Use Cases
- Analyze long-term drying trends and hydroclimatic variability based on the 74-year daily time series.
- Monitor extreme drought and pluvial conditions based on modeled soil moisture and snow water equivalent.
- Assess climate change impacts on water resources based on surface energy and water flux variables.
- Validate and compare other observational datasets like GLEAM, FLUXCOM, SMAP, and SNODAS based on the described cross-comparisons.
Strengths
- 74-year temporal coverage from 1952 to 2025, extending beyond the satellite era.
- High 4-km spatial resolution across the western United States.
- Demonstrated agreement with multiple observational datasets including GLEAM, FLUXCOM, SMAP, and SNODAS.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for specific analytical tasks.
Provenance
- Source
- Gavin Madakumbura Dataverse
- Collection Method
- Generated by forcing the Noah-MP land surface model (version 5) with high-quality observed meteorological data.
- Time Range
- 1952–2025
- Freshness
- Last updated 2026-05-17 08:53:39; freshness should be verified.
- Geography
- Western United States