Articles | Volume 18, issue 7
https://doi.org/10.5194/essd-18-5531-2026
© Author(s) 2026. This work is distributed under 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
Download
- Final revised paper (published on 28 Jul 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 17 Apr 2026)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on essd-2025-592', Anonymous Referee #1, 01 May 2026
- AC1: 'Reply on RC1', Andrew Hedrick, 19 May 2026
-
RC2: 'Comment on essd-2025-592', Anonymous Referee #2, 03 Jun 2026
- AC2: 'Reply on RC2', Andrew Hedrick, 18 Jun 2026
- EC1: 'Comment on essd-2025-592', John Pomeroy, 06 Jul 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Andrew Hedrick on behalf of the Authors (08 Jul 2026)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (12 Jul 2026) by John Pomeroy
AR by Andrew Hedrick on behalf of the Authors (13 Jul 2026)
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: