Preprints
https://doi.org/10.5194/essd-2025-592
https://doi.org/10.5194/essd-2025-592
17 Apr 2026
 | 17 Apr 2026
Status: this preprint is currently under review for the journal ESSD.

A 40-year high-resolution gridded meteorological dataset derived from station observations in the Reynolds Creek Experimental Watershed

Andrew R. Hedrick, Brandon Stairs, C. Jason Williams, Joachim Meyer, and James P. McNamara

Abstract. A forty-year gridded meteorological forcing dataset spanning the water years 1984 to 2023 (October 1st to September 30th) was compiled for the Reynolds Creek Experimental Watershed (RCEW) in southwest Idaho, USA. This Reynolds Creek Long-Term (RCLT) dataset consists of hourly, 10-meter resolution grids of air temperature, vapor pressure, precipitation mass and phase, incoming shortwave and longwave radiation, visible and infrared snow albedo, and wind speed and direction. These variables were interpolated and calculated from hourly measurements from the dense meteorological station network within the mountainous 239 km2 RCEW, which contains elevations that span the historical winter rain-to-snow transition. The observations are foundational for many ecological and hydrological Land Surface Models (LSMs) used in research and operational applications. Additionally, an example use case is presented in which we show how the snow-dominated area of the basin has evolved over the data record. This 13 TB dataset, stored in cloud-optimized Zarr format, enables future model development, benchmarking, and uncertainty analyses of existing models, independent validation of gridded atmospheric reanalysis datasets, and novel investigations of hydroclimatic variability across snow-dominated semi-arid environments. Data access is available via the following repository: https://doi.org/10.15482/USDA.ADC/30199954 (Hedrick et al., 2025).

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Andrew R. Hedrick, Brandon Stairs, C. Jason Williams, Joachim Meyer, and James P. McNamara

Status: open (until 24 May 2026)

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Andrew R. Hedrick, Brandon Stairs, C. Jason Williams, Joachim Meyer, and James P. McNamara

Data sets

The Reynolds Creek Long-Term Dataset: A long-term meteorological dataset derived from station observations in the Reynolds Creek Experimental Watershed Andrew Hedrick, Brandon Stairs, C. Jason Williams, Joachim Meyer, and James P. McNamara https://agdatacommons.nal.usda.gov/

Model code and software

Spatial Modeling for Resources Framework (SMRF) S. Havens et al. https://github.com/iSnobal/smrf/releases/tag/20250926

Andrew R. Hedrick, Brandon Stairs, C. Jason Williams, Joachim Meyer, and James P. McNamara
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Latest update: 17 Apr 2026
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Short summary
This dataset contains hourly gridded estimates of meteorologic variables based on station observations between 1984 and 2023 in the Reynolds Creek Experimental Watershed, including air temperature, humidity, wind, incoming solar radiation, and precipitation. This dataset exists as a resource for energy balance modeling and independent validation of atmospheric reanalysis datasets and is publicly available in a cloud-optimized format at the USDA Ag Data Commons data repository.
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