A 4-km long-term (1952–2025) daily hydrometeorological dataset for the western United States
This study introduces the Western U.S. High-resolution Long-term Dataset for HydroMeteorology (WHiLD-HM), a 4-km, 74-year spatiotemporally continuous daily dataset spanning 1952-2025 for the western United States (WUS). WHiLD-HM is generated by driving the Noah-MP version 5.0 land surface model with observed precipitation, surface air temperature, downward shortwave radiation, and specific humidity, along with dynamically downscaled reanalysis-based surface air pressure, downward longwave radiation, and wind speed. The dataset encompasses key hydrometeorological variables, including surface energy and water fluxes. Cross-comparisons with observational datasets demonstrate the high temporal and spatial accuracy of WHiLD-HM. Case studies illustrate WHiLD-HM's ability to capture long-term drying trends in WUS, as well as extreme drought and pluvial conditions. By extending coverage beyond the satellite era, WHiLD-HM enables high-resolution analyses of daily to multidecadal hydroclimatic variability and trends, as well as extremes, providing crucial insights for water resources and food security management and ecohydrological monitoring.
Authors
- Qian He (ORCID: https://orcid.org/0000-0002-5383-3896)
- Cenlin He
- Gavin D. Madakumbura (ORCID: https://orcid.org/0000-0002-0092-4153)
- Bo Wang (ORCID: https://orcid.org/0000-0001-5132-7685)
- Menaka Revel (ORCID: https://orcid.org/0000-0003-0390-8279)
- Jacob Jones (ORCID: https://orcid.org/0000-0001-9522-0505)
- Ronnie Abolafia‐Rosenzweig (ORCID: https://orcid.org/0000-0002-6169-6430)
- A. Park Williams
Institutions
- NSF National Center for Atmospheric Research (US)
- Goddard Space Flight Center (US)
- University of Waterloo (CA)
- University of California, Los Angeles (US)
- Earth System Science Interdisciplinary Center (US)
- Massachusetts Institute of Technology (US)
- University of Maryland, College Park (US)
Publication Details
- Journal
- Scientific Data
- Published
- 2026-06-25
- DOI
- https://doi.org/10.1038/s41597-026-07642-0
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Gordon and Betty Moore Foundation
- U.S. Geological Survey
- National Park Service
- Southwest Climate Adaptation Science Center