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Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and...

Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8a72572bdaa14f80866b7e376e887d2a

Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments

About this item

Full title

Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments

Publisher

Katlenburg-Lindau: Copernicus GmbH

Journal title

Hydrology and earth system sciences, 2015-07, Vol.19 (7), p.3181-3201

Language

English

Formats

Publication information

Publisher

Katlenburg-Lindau: Copernicus GmbH

More information

Scope and Contents

Contents

In operational hydrology, estimation of the predictive uncertainty of hydrological models used for flood modelling is essential for risk-based decision making for flood warning and emergency management. In the literature, there exists a variety of methods analysing and predicting uncertainty. However, studies devoted to comparing the performance of...

Alternative Titles

Full title

Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8a72572bdaa14f80866b7e376e887d2a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8a72572bdaa14f80866b7e376e887d2a

Other Identifiers

ISSN

1607-7938,1027-5606

E-ISSN

1607-7938

DOI

10.5194/hess-19-3181-2015

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