CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain ; volume:12 ; number:4 ; year:2020 ; pages:2459-2483
Earth system science data ; 12, Heft 4 (2020), 2459-2483
- Urheber
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Coxon, Gemma
Addor, Nans
Bloomfield, John P.
Freer, Jim
Fry, Matt
Hannaford, Jamie
Howden, Nicholas J. K.
Lane, Rosanna
Lewis, Melinda
Robinson, Emma L.
Wagener, Thorsten
Woods, Ross
- DOI
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10.5194/essd-12-2459-2020
- URN
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urn:nbn:de:101:1-2020101505221669190068
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:54 MESZ
Datenpartner
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Beteiligte
- Coxon, Gemma
- Addor, Nans
- Bloomfield, John P.
- Freer, Jim
- Fry, Matt
- Hannaford, Jamie
- Howden, Nicholas J. K.
- Lane, Rosanna
- Lewis, Melinda
- Robinson, Emma L.
- Wagener, Thorsten
- Woods, Ross
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CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil
CAMELS-DK: Hydrometeorological Time Series and Landscape Attributes for 3330 Catchments in Denmark
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CAMELS-DE: hydro-meteorological time series and attributes for 1555 catchments in Germany
CAMELS-DE: hydro-meteorological time series and attributes for 1582 catchments in Germany
CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland
CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland
CAMELS-AUS v2: updated hydrometeorological timeseries and landscape attributes for an enlarged set of catchments in Australia
Toward merging MOPEX and CAMELS hydrometeorological datasets: compatibility and statistical comparison
Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti
Res-CN: hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs
CAMELS-GB: Hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil
CAMELS-DK: Hydrometeorological Time Series and Landscape Attributes for 3330 Catchments in Denmark
CAMELS-BR: Hydrometeorological time series and landscape attributes for 897 catchments in Brazil
CAMELS-DE: hydro-meteorological time series and attributes for 1555 catchments in Germany
CAMELS-DE: hydro-meteorological time series and attributes for 1582 catchments in Germany
CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland
CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland
CAMELS-AUS v2: updated hydrometeorological timeseries and landscape attributes for an enlarged set of catchments in Australia
Toward merging MOPEX and CAMELS hydrometeorological datasets: compatibility and statistical comparison
Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti