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Progress in regional downscaling of west African precipitation

Paeth, Heiko ; Hall, Nicholas M.J. ; Gaertner, Miguel Angel ; Alonso, Marta Dominque ; Moumouni, Sounmaila ; Polcher, Jan ; Ruti, Paolo M. ; Fink, Andreas H. ; Gosset, Marielle and Lebel, Thierry , et al. (2011) In Atmospheric Science Letters 12(1). p.75-82
Abstract
We review the recent progress in dynamical and statistical downscaling approaches for west African precipitation and perform a regional climate model (RCM) intercomparison using the novel multi-model RCM data set from the Ensembles-based Predictions of Climate Changes and Their Impacts (ENSEMBLES) and African Monsoon Multidisciplinary Analyses (AMMA) projects. Present RCMs have distinct systematic errors in terms of west African precipitation varying in amplitude and pattern across models. This is also reflected in a relatively large spread in projected future precipitation trends. Altogether, the ENSEMBLES RCMs indicate a prevailing drying tendency in sub-Saharan Africa. Statistical post-processing of simulated precipitation is a... (More)
We review the recent progress in dynamical and statistical downscaling approaches for west African precipitation and perform a regional climate model (RCM) intercomparison using the novel multi-model RCM data set from the Ensembles-based Predictions of Climate Changes and Their Impacts (ENSEMBLES) and African Monsoon Multidisciplinary Analyses (AMMA) projects. Present RCMs have distinct systematic errors in terms of west African precipitation varying in amplitude and pattern across models. This is also reflected in a relatively large spread in projected future precipitation trends. Altogether, the ENSEMBLES RCMs indicate a prevailing drying tendency in sub-Saharan Africa. Statistical post-processing of simulated precipitation is a promising tool to reduce systematic model errors before application in impact studies. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
climate change, West Africa, model intercomparison, dynamical downscaling, statistical downscaling
in
Atmospheric Science Letters
volume
12
issue
1
pages
75 - 82
publisher
Wiley-Blackwell
external identifiers
  • wos:000287816700013
  • scopus:79952028839
ISSN
1530-261X
DOI
10.1002/asl.306
language
English
LU publication?
yes
id
81e2cdef-6beb-4741-8194-4fa984f3e5d5 (old id 3163314)
date added to LUP
2016-04-01 13:05:57
date last changed
2021-10-06 05:09:31
@article{81e2cdef-6beb-4741-8194-4fa984f3e5d5,
  abstract     = {We review the recent progress in dynamical and statistical downscaling approaches for west African precipitation and perform a regional climate model (RCM) intercomparison using the novel multi-model RCM data set from the Ensembles-based Predictions of Climate Changes and Their Impacts (ENSEMBLES) and African Monsoon Multidisciplinary Analyses (AMMA) projects. Present RCMs have distinct systematic errors in terms of west African precipitation varying in amplitude and pattern across models. This is also reflected in a relatively large spread in projected future precipitation trends. Altogether, the ENSEMBLES RCMs indicate a prevailing drying tendency in sub-Saharan Africa. Statistical post-processing of simulated precipitation is a promising tool to reduce systematic model errors before application in impact studies.},
  author       = {Paeth, Heiko and Hall, Nicholas M.J. and Gaertner, Miguel Angel and Alonso, Marta Dominque and Moumouni, Sounmaila and Polcher, Jan and Ruti, Paolo M. and Fink, Andreas H. and Gosset, Marielle and Lebel, Thierry and Gaye, Amadou T. and Rowell, David P. and Moufouma-Okia, Wilfran and Jacob, Daniela and Rockel, Burkhardt and Giorgi, Filippo and Rummukainen, Markku},
  issn         = {1530-261X},
  language     = {eng},
  number       = {1},
  pages        = {75--82},
  publisher    = {Wiley-Blackwell},
  series       = {Atmospheric Science Letters},
  title        = {Progress in regional downscaling of west African precipitation},
  url          = {http://dx.doi.org/10.1002/asl.306},
  doi          = {10.1002/asl.306},
  volume       = {12},
  year         = {2011},
}