Twenty-first-century challenges in regional climate modeling

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Standard

Twenty-first-century challenges in regional climate modeling. / Rummukainen, Markku; Rockel, Burkhardt; Bärring, Lars; Christensen, Jens Hesselbjerg; Reckermann, Marcus.

I: Bulletin of the American Meteorological Society, Bind 96, Nr. 8, 01.08.2015, s. 135-138.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Rummukainen, M, Rockel, B, Bärring, L, Christensen, JH & Reckermann, M 2015, 'Twenty-first-century challenges in regional climate modeling', Bulletin of the American Meteorological Society, bind 96, nr. 8, s. 135-138. https://doi.org/10.1175/BAMS-D-14-00214.1

APA

Rummukainen, M., Rockel, B., Bärring, L., Christensen, J. H., & Reckermann, M. (2015). Twenty-first-century challenges in regional climate modeling. Bulletin of the American Meteorological Society, 96(8), 135-138. https://doi.org/10.1175/BAMS-D-14-00214.1

Vancouver

Rummukainen M, Rockel B, Bärring L, Christensen JH, Reckermann M. Twenty-first-century challenges in regional climate modeling. Bulletin of the American Meteorological Society. 2015 aug. 1;96(8):135-138. https://doi.org/10.1175/BAMS-D-14-00214.1

Author

Rummukainen, Markku ; Rockel, Burkhardt ; Bärring, Lars ; Christensen, Jens Hesselbjerg ; Reckermann, Marcus. / Twenty-first-century challenges in regional climate modeling. I: Bulletin of the American Meteorological Society. 2015 ; Bind 96, Nr. 8. s. 135-138.

Bibtex

@article{bc2d5fd070184e9fb74971beead02795,
title = "Twenty-first-century challenges in regional climate modeling",
abstract = "The Third International Lund Regional-scale Climate Modeling Workshop was held between 16-19 June, 2014. Regional climate models (RCM) typically consist of atmospheric and land surface components. Coupled regional atmosphere?ocean?sea ice models overcome the inner-domain dependency of RCMs from the driving GCM by simulating a physically consistent sea surface temperature (SST). It is clear that regional climate is influenced by the large-scale circulation and thus the overall global climate. RCMs with new components and higher resolution bring about new model evaluation issues and inform the value-added aspect of downscaling. RCMs? added value in time-mean quantities and maps is well established in regions of strong local, finescale forcing in the presence of contrasting orographic features, coastal areas, etc . Coordinated experimentation with RCMs has advanced. The major development has been the international Coordinated Regional Climate Downscaling Experiment (CORDEX).",
author = "Markku Rummukainen and Burkhardt Rockel and Lars B{\"a}rring and Christensen, {Jens Hesselbjerg} and Marcus Reckermann",
year = "2015",
month = aug,
day = "1",
doi = "10.1175/BAMS-D-14-00214.1",
language = "English",
volume = "96",
pages = "135--138",
journal = "Bulletin of the American Meteorological Society",
issn = "0003-0007",
publisher = "American Meteorological Society",
number = "8",

}

RIS

TY - JOUR

T1 - Twenty-first-century challenges in regional climate modeling

AU - Rummukainen, Markku

AU - Rockel, Burkhardt

AU - Bärring, Lars

AU - Christensen, Jens Hesselbjerg

AU - Reckermann, Marcus

PY - 2015/8/1

Y1 - 2015/8/1

N2 - The Third International Lund Regional-scale Climate Modeling Workshop was held between 16-19 June, 2014. Regional climate models (RCM) typically consist of atmospheric and land surface components. Coupled regional atmosphere?ocean?sea ice models overcome the inner-domain dependency of RCMs from the driving GCM by simulating a physically consistent sea surface temperature (SST). It is clear that regional climate is influenced by the large-scale circulation and thus the overall global climate. RCMs with new components and higher resolution bring about new model evaluation issues and inform the value-added aspect of downscaling. RCMs? added value in time-mean quantities and maps is well established in regions of strong local, finescale forcing in the presence of contrasting orographic features, coastal areas, etc . Coordinated experimentation with RCMs has advanced. The major development has been the international Coordinated Regional Climate Downscaling Experiment (CORDEX).

AB - The Third International Lund Regional-scale Climate Modeling Workshop was held between 16-19 June, 2014. Regional climate models (RCM) typically consist of atmospheric and land surface components. Coupled regional atmosphere?ocean?sea ice models overcome the inner-domain dependency of RCMs from the driving GCM by simulating a physically consistent sea surface temperature (SST). It is clear that regional climate is influenced by the large-scale circulation and thus the overall global climate. RCMs with new components and higher resolution bring about new model evaluation issues and inform the value-added aspect of downscaling. RCMs? added value in time-mean quantities and maps is well established in regions of strong local, finescale forcing in the presence of contrasting orographic features, coastal areas, etc . Coordinated experimentation with RCMs has advanced. The major development has been the international Coordinated Regional Climate Downscaling Experiment (CORDEX).

UR - http://www.scopus.com/inward/record.url?scp=84942929206&partnerID=8YFLogxK

U2 - 10.1175/BAMS-D-14-00214.1

DO - 10.1175/BAMS-D-14-00214.1

M3 - Journal article

AN - SCOPUS:84942929206

VL - 96

SP - 135

EP - 138

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

SN - 0003-0007

IS - 8

ER -

ID: 186939532