CAMELS-AUS v1: Hydrometeorological time series and landscape attributes for 222 catchments in Australia

DOI

This is the Australian edition of the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) series of datasets. CAMELS-AUS comprises data for 222 unregulated catchments, combining hydrometeorological timeseries (streamflow and 18 climatic variables) with 134 attributes related to geology, soil, topography, land cover, anthropogenic influence, and hydroclimatology. The CAMELS-AUS catchments have been monitored for decades (more than 85% have streamflow records longer than 40 years) and are relatively free of large scale changes, such as significant changes in landuse. Rating curve uncertainty estimates are provided for most (75%) of the catchments and multiple atmospheric datasets are included, offering insights into forcing uncertainty. This dataset allows users globally to freely access catchment data drawn from Australia's unique hydroclimatology, particularly notable for its large interannual variability. Combined with arid catchment data from the CAMELS datasets for USA and Chile, CAMELS-AUS constitutes an unprecedented resource for the study of arid-zone hydrology.

Please note this is the ESSDD Version of the dataset which has been archived due to documentational purposes, please use the ESSD version (see "replaced by" reference).

Identifier
DOI https://doi.org/10.1594/PANGAEA.933619
Related Identifier IsObsoletedBy https://doi.org/10.1594/PANGAEA.921850
Related Identifier References https://doi.org/10.5194/essd-2020-228
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.933619
Provenance
Creator Fowler, Keirnan ORCID logo; Acharya, Suwash Chandra ORCID logo; Addor, Nans ORCID logo; Chou, Chihchung; Peel, Murray
Publisher PANGAEA
Publication Year 2020
Rights Creative Commons Attribution 4.0 International; Data access requires user signup; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format application/zip
Size 891.3 MBytes
Discipline Earth System Research
Spatial Coverage (134.904 LON, -26.216 LAT)