the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 29 Aug 2024
CAMELS-AUS v2: updated hydrometeorological timeseries and landscape attributes for an enlarged set of catchments in Australia
Abstract. This paper presents Version 2 (v2) of the Australian edition of the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) series of datasets. Since publication in 2021, CAMELS-AUS (Australia) has served as a resource for the study of hydrological change, arid-zone hydrology, and hydrological model improvement. In this update, the dataset has been significantly enhanced both temporally and spatially. The new dataset comprises information for over twice as many catchments (561 compared to 222). The streamflow and climatic information are updated a further eight years (2022 compared to 2014). Lastly, the catchment attribute information is improved, particularly with respect to hydrological statistics (signatures) and uncertainty in streamflow. Together, these updates make CAMELS-AUS v2 a more comprehensive and current resource for hydrological research and applications. CAMELS-AUS v2 is freely downloadable from https://zenodo.org/doi/10.5281/zenodo.12575680 (Fowler et al., 2024).
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RC1: 'Comment on essd-2024-263', Anonymous Referee #1, 30 Aug 2024
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General appreciation
First of all, I wish to congratulate the authors for their lasting efforts to make available quality-controlled hydrological datasets: publishing an update of their initial dataset is a great initiative, and I hope that it will be an example for the authors of other CAMEL sets. I downloaded the files to check that they behave well, and I understand that the authors already corrected minor issues that were found. The changes between the v1 and v2 are well documented, the authors took the initiative to put as supplementary file a commented version of the first paper, which allows a very quick appraisal of what has changed for somebody who would have already read in detail the initial article (please only remove the comment inside section 3.6.3).To summarize my opinion on this paper and the accompanying dataset I would say: bravo!
Minor comments
- You provide to precipitation estimates, one from AGCD, the other from SILO. The unexperimented user would have appreciated a recommendation on which to use… and if there are political reasons why you cannot give this advice, please mention it. Also mention the evolution of AWAP to AGCD in Table 1 (the name of the column has changed).
- I see no mention of karst, though I imagine some of the catchments may be affected. Are there one or two examples that you could provide, just to warn unexperimented en-users that there may be cases where the water balance will be difficult to close?
- You provide several variables to appreciate the level of anthropogenic influences. Some readers may be willing to analyze catchments that are either “almost natural” or “almost unregulated by reservoirs”. Could you provide a mention on this, and perhaps suggest a threshold on some of the descriptors you provide (i.e. we would consider catchments with impound_fac less than xxx to be almost unregulated).
Citation: https://doi.org/10.5194/essd-2024-263-RC1
Data sets
CAMELS-AUS v2: updated hydrometeorological timeseries and landscape attributes for an enlarged set of catchments in Australia K. J. A. Fowler, Z. Zhang, and X. Hou https://zenodo.org/doi/10.5281/zenodo.12575680
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