Introduces a high-resolution dataset analyzing long-term hydroclimatic trends in the western U.S., indicating critical insights for resource management.
This study introduces the W estern U.S. Hi gh-resolution L ong-term D ataset for H ydro M eteorology (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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Madakumbura et al. (2026) studied this question.
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