Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5791-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): streamflow observations, forcing data and geospatial data for hydrologic studies across North America
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- Final revised paper (published on 28 Oct 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 12 Mar 2025)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2025-893', Anonymous Referee #1, 14 Apr 2025
- AC1: 'Reply on RC1', Wouter Knoben, 08 May 2025
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RC2: 'Comment on egusphere-2025-893', Anonymous Referee #2, 15 Apr 2025
- AC2: 'Reply on RC2', Wouter Knoben, 08 May 2025
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (17 May 2025) by Nunzio Romano
AR by Wouter Knoben on behalf of the Authors (09 Jun 2025)
ED: Referee Nomination & Report Request started (01 Jul 2025) by Nunzio Romano
RR by Brandi Gaertner (02 Jul 2025)
RR by Anonymous Referee #2 (29 Jul 2025)
ED: Publish as is (05 Aug 2025) by Nunzio Romano
AR by Wouter Knoben on behalf of the Authors (06 Aug 2025)
Overall, the authors did an excellent job explaining the processing of the CAMEL-SPAT geospatial dataset. The narrative is clear and provides sufficient details and explanation to understand the basic process for preparing the dataset(s). The tables are very detailed and helpful in visualizing the different models, model requirements, and the dataset(s).
Overall, I have relatively minor edits, as explained below:
Abstract
Line 14: small typo (This data set)
Line 1: I think the first line of the abstract should make it clear that the dataset builds on the CAMELS dataset; perhaps expand on “new dataset” such as “new dataset that builds on the CAMELs dataset”.
Line 171: small type “area”
Line 185: Please provide more details on the accuracy assessment for the basin methods. Specifically, provide details on what you mean by “evidence suggests”. What statistical/quantitative measurement did you use to identify your “confidence ratings”?
Figure 3: Please clarify a few elements of this figure in the caption: The figure has 3 colors (pink, blue, maroon) – please explain maroon. Also, explain the record length and how it differs from missing values in the caption and somewhere in the paragraph from line 240-249.
Line 210 – Methods and Outcomes section for Streamflow observations: I would recommend creating a CDF figure similar to Figure 2 in Newman et al., 2015 (see below) in order to show the streamflow distribution of the new dataset that you present here.
Data citation: A. Newman; K. Sampson; M. P. Clark; A. Bock; R. J. Viger; D. Blodgett, 2014. A large-sample watershed-scale hydrometeorological dataset for the contiguous USA. Boulder, CO: UCAR/NCAR. https://dx.doi.org/10.5065/D6MW2F4D
348: I’d recommend also referencing Figure 1, as that visualizes the “processing steps” referred to in this line.
Figure 7 caption: provide more details similar to those presented in the Figure 5 and 6 captions. For example, I recommend at the least, including the dataset used to create the figures and how/where the statistics were derived.
Figure 8 caption: Same as above (e.g. dataset and statistics explanation), but also include explanation of prediction uncertainty