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

Fuente: PANGAEA
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Autores principales: Fowler, Keirnan, Acharya, Suwash Chandra, Addor, Nans, Chou, Chihchung, Peel, Murray
Formato: Dataset Open Access
Lenguaje:en
Publicado: PANGAEA 2020
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author Fowler, Keirnan
Acharya, Suwash Chandra
Addor, Nans
Chou, Chihchung
Peel, Murray
author_facet Fowler, Keirnan
Acharya, Suwash Chandra
Addor, Nans
Chou, Chihchung
Peel, Murray
collection Datos científicos de ciencias marinas y ambientales
contents 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.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_933619
institution PANGAEA
language en
publishDate 2020
publisher PANGAEA
record_format pangaea
spellingShingle CAMELS-AUS v1: Hydrometeorological time series and landscape attributes for 222 catchments in Australia
Fowler, Keirnan
Acharya, Suwash Chandra
Addor, Nans
Chou, Chihchung
Peel, Murray
Australia; hydrological modelling; large sample hydrology; large scale hydrology
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.
title CAMELS-AUS v1: Hydrometeorological time series and landscape attributes for 222 catchments in Australia
topic Australia; hydrological modelling; large sample hydrology; large scale hydrology
url https://doi.org/10.1594/PANGAEA.933619