Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Is bias correction of regional climate model (RCM) simulations possible for non-stationary conditions?
Stockholm University, Faculty of Science, Department of Physical Geography and Quaternary Geology. Uppsala University, Sweden.ORCID iD: 0000-0002-3344-2468
Stockholm University, Faculty of Science, Department of Physical Geography and Quaternary Geology. Uppsala University, Sweden.
2013 (English)In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 17, no 12, 5061-5077 p.Article in journal (Refereed) Published
Abstract [en]

In hydrological climate-change impact studies, regional climate models (RCMs) are commonly used to transfer large-scale global climate model (GCM) data to smaller scales and to provide more detailed regional information. Due to systematic and random model errors, however, RCM simulations often show considerable deviations from observations. This has led to the development of a number of correction approaches that rely on the assumption that RCM errors do not change over time. It is in principle not possible to test whether this underlying assumption of error stationarity is actually fulfilled for future climate conditions. In this study, however, we demonstrate that it is possible to evaluate how well correction methods perform for conditions different from those used for calibration with the relatively simple differential split-sample test.

Place, publisher, year, edition, pages
2013. Vol. 17, no 12, 5061-5077 p.
Keyword [en]
RCM, bias correction, temperature, precipitation, hydrology, climate change
National Category
Oceanography, Hydrology, Water Resources Climate Research Physical Geography
Research subject
Hydrology; Physical Geography
Identifiers
URN: urn:nbn:se:su:diva-97563DOI: 10.5194/hess-17-5061-2013ISI: 000329061400022OAI: oai:DiVA.org:su-97563DiVA: diva2:679072
Funder
Formas, 2007-1433
Note

AuthorCount: 2;

Available from: 2013-12-13 Created: 2013-12-13 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Teutschbein, ClaudiaSeibert, Jan
By organisation
Department of Physical Geography and Quaternary Geology
In the same journal
Hydrology and Earth System Sciences
Oceanography, Hydrology, Water ResourcesClimate ResearchPhysical Geography

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 33 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf