The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset
The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset
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Publisher
Katlenburg-Lindau: Copernicus GmbH
Journal title
Language
English
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Publication information
Publisher
Katlenburg-Lindau: Copernicus GmbH
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Scope and Contents
Contents
We introduce the first catchment dataset for large sample studies in Chile. This dataset includes 516 catchments; it covers particularly wide latitude (17.8 to 55.0.sup.â S) and elevation (0 to 6993 m a.s.l.) ranges, and it relies on multiple data sources (including ground data, remote-sensed products and reanalyses) to characterise the hydrocli...
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Full title
The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_fc2ed31dc94a4b289fc7269e84768a03
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fc2ed31dc94a4b289fc7269e84768a03
Other Identifiers
ISSN
1607-7938,1027-5606
E-ISSN
1607-7938
DOI
10.5194/hess-22-5817-2018
