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Perspectives of regional paleoclimate modeling

Ludwig, Patrick ORCID iD icon 1; Gómez-Navarro, Juan J.; Pinto, Joaquim G. 1; Raible, Christoph C.; Wagner, Sebastian; Zorita, Eduardo
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)


Regional climate modeling bridges the gap between the coarse resolution of current global climate models and the regional‐to‐local scales, where the impacts of climate change are of primary interest. Here, we present a review of the added value of the regional climate modeling approach within the scope of paleoclimate research and discuss the current major challenges and perspectives. Two time periods serve as an example: the Holocene, including the Last Millennium, and the Last Glacial Maximum. Reviewing the existing literature reveals the benefits of regional paleo climate modeling, particularly over areas with complex terrain. However, this depends largely on the variable of interest, as the added value of regional modeling arises from a more realistic representation of physical processes and climate feedbacks compared to global climate models, and this affects different climate variables in various ways. In particular, hydrological processes have been shown to be better represented in regional models, and they can deliver more realistic meteorological data to drive ice sheet and glacier modeling. Thus, regional climate models provide a clear benefit to answer fundamental paleoclimate research questions and may be key to advance a meaningful joint interpretation of climate model and proxy data.

Verlagsausgabe §
DOI: 10.5445/IR/1000083339
Veröffentlicht am 25.06.2018
DOI: 10.1111/nyas.13865
Zitationen: 28
Web of Science
Zitationen: 26
Zitationen: 35
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Forschungsbereich Troposphäre (IMK-TRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 0077-8923
KITopen-ID: 1000083339
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Annals of the New York Academy of Sciences
Verlag New York Academy of Sciences
Band 1436
Heft 1
Seiten 54-69
Vorab online veröffentlicht am 04.06.2018
Nachgewiesen in Scopus
Web of Science
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