Advanced

Added value in regional climate modeling

Rummukainen, Markku LU (2016) In Wiley Interdisciplinary Reviews: Climate Change 7(1). p.145-159
Abstract
Regional climate modeling is a dynamical downscaling technique applied to the results of global climate models (GCMs) in order to acquire more information on climate simulations and climate change projections. GCMs and regional climate models (RCMs) have undergone considerable development over the past few decades, and both have increased in resolution. The higher-resolution edge of RCMs compared to GCMs still remains, however. This has been demonstrated in a number of specific studies. As GCMs operate on relatively coarse resolutions, they do not resolve more variable land forms and similar features that shape regional-scale climates. RCMs operate on higher resolutions than GCMs, by a factor of 2-10. Some RCMs now explore resolutions down... (More)
Regional climate modeling is a dynamical downscaling technique applied to the results of global climate models (GCMs) in order to acquire more information on climate simulations and climate change projections. GCMs and regional climate models (RCMs) have undergone considerable development over the past few decades, and both have increased in resolution. The higher-resolution edge of RCMs compared to GCMs still remains, however. This has been demonstrated in a number of specific studies. As GCMs operate on relatively coarse resolutions, they do not resolve more variable land forms and similar features that shape regional-scale climates. RCMs operate on higher resolutions than GCMs, by a factor of 2-10. Some RCMs now explore resolutions down to 1-5 km. This adds value in regions with variable orography, land-sea and other contrasts, as well as in capturing sharp, short-duration and extreme events. In contrast, large-scale and time-averaged fields, not least over smooth terrain and on scales that have been already skillfully resolved in GCMs, are not much affected. RCMs also generate additional detail compared to GCMs when in climate projection mode. Compared to the present-day climate for which observations exist, here the added value aspect is more complex to evaluate. Nevertheless, added value is meaningfully underlined when there is a clear physical context for it to appear in. In addition to climate modeling and model evaluation-related added value considerations, a significant relevant aspect of added value is the provision of regional scale information, including climate change projections, for climate impact, adaptation, and vulnerability research. (C) 2015 Wiley Periodicals, Inc. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Wiley Interdisciplinary Reviews: Climate Change
volume
7
issue
1
pages
145 - 159
publisher
John Wiley & Sons
external identifiers
  • wos:000367550000010
  • scopus:84951819777
ISSN
1757-7799
DOI
10.1002/wcc.378
language
English
LU publication?
yes
id
c28b840a-8857-48f3-b88b-c741d5a0ff37 (old id 8761406)
date added to LUP
2016-02-22 14:46:24
date last changed
2017-10-01 03:13:48
@article{c28b840a-8857-48f3-b88b-c741d5a0ff37,
  abstract     = {Regional climate modeling is a dynamical downscaling technique applied to the results of global climate models (GCMs) in order to acquire more information on climate simulations and climate change projections. GCMs and regional climate models (RCMs) have undergone considerable development over the past few decades, and both have increased in resolution. The higher-resolution edge of RCMs compared to GCMs still remains, however. This has been demonstrated in a number of specific studies. As GCMs operate on relatively coarse resolutions, they do not resolve more variable land forms and similar features that shape regional-scale climates. RCMs operate on higher resolutions than GCMs, by a factor of 2-10. Some RCMs now explore resolutions down to 1-5 km. This adds value in regions with variable orography, land-sea and other contrasts, as well as in capturing sharp, short-duration and extreme events. In contrast, large-scale and time-averaged fields, not least over smooth terrain and on scales that have been already skillfully resolved in GCMs, are not much affected. RCMs also generate additional detail compared to GCMs when in climate projection mode. Compared to the present-day climate for which observations exist, here the added value aspect is more complex to evaluate. Nevertheless, added value is meaningfully underlined when there is a clear physical context for it to appear in. In addition to climate modeling and model evaluation-related added value considerations, a significant relevant aspect of added value is the provision of regional scale information, including climate change projections, for climate impact, adaptation, and vulnerability research. (C) 2015 Wiley Periodicals, Inc.},
  author       = {Rummukainen, Markku},
  issn         = {1757-7799},
  language     = {eng},
  number       = {1},
  pages        = {145--159},
  publisher    = {John Wiley & Sons},
  series       = {Wiley Interdisciplinary Reviews: Climate Change},
  title        = {Added value in regional climate modeling},
  url          = {http://dx.doi.org/10.1002/wcc.378},
  volume       = {7},
  year         = {2016},
}