Evidence map›Paper›PMID 42350453›Full record

ArticleScientific data2026

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

Gavin D Madakumbura, Ronnie Abolafia-Rosenzweig, Cenlin He, Jacob Jones, Qian He, Menaka Revel, Bowen Wang, A Park Williams

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gavin D MadakumburaDepartment of Geography, University of California - Los Angeles, Los Angeles, CA, USA. gavindayanga@ucla.edu.
Ronnie Abolafia-RosenzweigEarth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
Cenlin HeNSF National Center for Atmospheric Research, Boulder, CO, USA.
Jacob JonesDepartment of Geography, University of California - Los Angeles, Los Angeles, CA, USA.
Qian HeDepartment of Geography, University of California - Los Angeles, Los Angeles, CA, USA.
Menaka RevelDepartment of Civil and Environmental Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
Bowen WangDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
A Park WilliamsDepartment of Geography, University of California - Los Angeles, Los Angeles, CA, USA.

Funding

Gordon and Betty Moore Foundation 13283U.S. Geological Survey (USGS) Water Mission Area's Integrated Water Prediction Program 140G0121F0357USGS Southwest Climate Adaptation Science Center USGS 314653-00001, G24AC00611US National Park Service P24AC00743-00
6 · The paper itself

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.

Identifiers

PMID42350453
PMCPMC13662183

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.