CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations

<p>Large samples of hydrometeorological time series and catchment attributes are critical for improving the understanding of complex hydrological processes, hydrological model development, and performance benchmarking. CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) data...

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書誌詳細

出版年:	Earth System Science Data
主要な著者:	J. Liu, J. Koch, S. Stisen, L. Troldborg, A. L. Højberg, H. Thodsen, M. F. T. Hansen, R. J. M. Schneider
フォーマット:	論文
言語:	英語
出版事項:	Copernicus Publications 2025-04-01
オンライン･アクセス:	https://essd.copernicus.org/articles/17/1551/2025/essd-17-1551-2025.pdf