the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 40-year high-resolution gridded meteorological dataset derived from station observations in the Reynolds Creek Experimental Watershed
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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Status: open (until 24 May 2026)
- RC1: 'Comment on essd-2025-592', Anonymous Referee #1, 01 May 2026 reply
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
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General Comments:
This manuscript presents a 40-year high-resolution gridded meteorological dataset for the Reynolds Creek Experimental Watershed in southwest Idaho, USA. This watershed is designated as a Critical Zone Observatory and is located in the rain-snow transition zone and snow-dominated semi-arid environments, which have experienced shifting due to climatic change. The manuscript describes how the high-resolution gridded dataset was developed from weather stations in this watershed. The presented dataset is extremely important to climate change, hydrology, and ecology related research and can make contribution to understanding climatic change response in the rain-snow transition zone. In addition, the dataset is valuable forcing data for hydrologic model benchmarking and development as well as validation data for atmospheric reanalysis model outputs. The dataset stored in the data repository mentioned in the manuscript meets the standard of usefulness and completeness and can be readily accessed and extracted in the methods described in the manuscript. Overall, the manuscript is well written and easy to follow and should be acceptable for publication with minor revisions. I have a number of specific comments and technical corrections below for authors to consider.
Specific Comments:
Technical Corrections: