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.

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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

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article

A 4-km long-term (1952–2025) daily hydrometeorological dataset for the western United States

Qian He, Cenlin He, Gavin D. Madakumbura, Bo Wang et al.
Scientific Data
Climate variability and models
article

A 4-km long-term (1952–2025) daily hydrometeorological dataset for the western United States

Qian He, Cenlin He, Gavin D. Madakumbura, Bo Wang, Menaka Revel, Jacob Jones, Ronnie Abolafia‐Rosenzweig, A. Park Williams
article en

Abstract

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.

Scientific Data
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)
National Science Foundation, Gordon and Betty Moore Foundation, U.S. Geological Survey, National Park Service, Southwest Climate Adaptation Science Center
Clean water and sanitation
Openalex Percentile: Top 8%
Climate variability and models
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