Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distri...
Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R 2 D 2 ) bias correction
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Publisher
Katlenburg-Lindau: Copernicus GmbH
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Language
English
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Katlenburg-Lindau: Copernicus GmbH
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Contents
Climate simulations often suffer from statistical biases with respect to observations or reanalyses. It is therefore common to correct (or adjust) those simulations before using them as inputs into impact models. However, most bias correction (BC) methods are univariate and so do not account for the statistical dependences linking the different loc...
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Full title
Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R 2 D 2 ) bias correction
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TN_cdi_doaj_primary_oai_doaj_org_article_ef1012afaa0b47e0a53e2373482f9b48
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ef1012afaa0b47e0a53e2373482f9b48
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ISSN
1607-7938,1027-5606
E-ISSN
1607-7938
DOI
10.5194/hess-22-3175-2018
