Perspectives of regional paleoclimate modeling

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 sc...

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Main Authors: Ludwig, Patrick, Gómez-Navarro, Juan J., Pinto, Joaquim G., Raible, Christoph C., Wagner, Sebastian, Zorita, Eduardo
Format: Text
Language:English
Published: Karlsruhe 2019
Subjects:
Online Access:https://dx.doi.org/10.5445/ir/1000083339
https://publikationen.bibliothek.kit.edu/1000083339
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spelling ftdatacite:10.5445/ir/1000083339 2023-05-15T16:40:59+02:00 Perspectives of regional paleoclimate modeling Ludwig, Patrick Gómez-Navarro, Juan J. Pinto, Joaquim G. Raible, Christoph C. Wagner, Sebastian Zorita, Eduardo 2019 PDF https://dx.doi.org/10.5445/ir/1000083339 https://publikationen.bibliothek.kit.edu/1000083339 en eng Karlsruhe Creative Commons Namensnennung – Nicht kommerziell 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/deed.de CC-BY-NC Text article-journal Journal Article ScholarlyArticle 2019 ftdatacite https://doi.org/10.5445/ir/1000083339 2021-11-05T12:55:41Z 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. Text Ice Sheet DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description 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.
format Text
author Ludwig, Patrick
Gómez-Navarro, Juan J.
Pinto, Joaquim G.
Raible, Christoph C.
Wagner, Sebastian
Zorita, Eduardo
spellingShingle Ludwig, Patrick
Gómez-Navarro, Juan J.
Pinto, Joaquim G.
Raible, Christoph C.
Wagner, Sebastian
Zorita, Eduardo
Perspectives of regional paleoclimate modeling
author_facet Ludwig, Patrick
Gómez-Navarro, Juan J.
Pinto, Joaquim G.
Raible, Christoph C.
Wagner, Sebastian
Zorita, Eduardo
author_sort Ludwig, Patrick
title Perspectives of regional paleoclimate modeling
title_short Perspectives of regional paleoclimate modeling
title_full Perspectives of regional paleoclimate modeling
title_fullStr Perspectives of regional paleoclimate modeling
title_full_unstemmed Perspectives of regional paleoclimate modeling
title_sort perspectives of regional paleoclimate modeling
publisher Karlsruhe
publishDate 2019
url https://dx.doi.org/10.5445/ir/1000083339
https://publikationen.bibliothek.kit.edu/1000083339
genre Ice Sheet
genre_facet Ice Sheet
op_rights Creative Commons Namensnennung – Nicht kommerziell 4.0 International
Open Access
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/4.0/deed.de
op_rightsnorm CC-BY-NC
op_doi https://doi.org/10.5445/ir/1000083339
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