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This paper presents the Australian edition of the Catchment Attributes and
Meteorology for Large-sample Studies (CAMELS) series of datasets. CAMELS-AUS (Australia) comprises data for 222 unregulated catchments, combining hydrometeorological
time series (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
land use. 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 the USA and Chile,
CAMELS-AUS constitutes an unprecedented resource for the study of arid-zone
hydrology. CAMELS-AUS is freely downloadable from https://doi.org/10.1594/PANGAEA.921850 (Fowler et al., 2020a).
中文翻译：
本文介绍了澳大利亚版的大样本研究集水区属性和气象学 (CAMELS) 系列数据集。CAMELS-AUS（澳大利亚）包含 222 个不受管制的集水区的数据，将水文气象时间序列（流量和 18 个气候变量）与与地质、土壤、地形、土地覆盖、人为影响和水文气候学相关的 134 个属性相结合。CAMELS-AUS 流域已被监测数十年（超过 85% 的流量记录超过 40 年）并且相对没有大规模变化，例如土地利用的显着变化。为大多数 (75%) 集水区提供了评级曲线不确定性估计值，并包括多个大气数据集，提供对强制不确定性的见解。该数据集允许全球用户自由访问从澳大利亚独特的水文气候学中提取的流域数据，特别是其巨大的年际变化。结合来自美国和智利 CAMELS 数据集的干旱集水区数据，CAMELS-AUS 构成了干旱区水文研究的前所未有的资源。CAMELS-AUS 可从 https://doi.org/10.1594/PANGAEA.921850 免费下载（Fowler 等人，2020a）。 |
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