CAMELS-AUS v2: updated hydrometeorological time series and landscape attributes for an enlarged set of catchments in Australia
Clicks: 30
ID: 311653
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
8.7
/100
30 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #2 of 3 articles by views in earth system science data
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
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 more than twice as many catchments (561 compared to 222). The streamflow and climatic information have been updated with a further 8 years (to 2022 compared to 2014). Lastly, the catchment attribute information has been 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://doi.org/10.5281/zenodo.12575680 (Fowler et al., 2024).
| Reference Key |
k2025camelsausvupdatedhyd
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | K. Fowler; Ziqi Zhang; Xue Hou |
| Journal | earth system science data |
| Year | 2025 |
| DOI |
10.5194/essd-17-4079-2025
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.