3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation
Dynamical downscaling of climate projections over a limited-area domain using a Regional Climate Model (RCM) requires boundary conditions (BC) from a Coupled Global Climate Model (CGCM) simulation. Biases in CGCM-generated BC can have detrimental effects in RCM simulations, so attempts to improve th...
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ftunivquebec:oai:archipel.uqam.ca:9086 2023-07-16T04:00:51+02:00 3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation Hernández-Díaz, Leticia Laprise, René Nikiéma, Oumarou Winger, Katja 2016 application/pdf http://archipel.uqam.ca/9086/1/Hernandez-Diaz_et_al_ClimDyn_2016.pdf en eng http://archipel.uqam.ca/9086/ http://dx.doi.org/10.1007/s00382-016-3201-9 doi:10.1007/s00382-016-3201-9 http://archipel.uqam.ca/9086/1/Hernandez-Diaz_et_al_ClimDyn_2016.pdf Hernández-Díaz, Leticia; Laprise, René; Nikiéma, Oumarou et Winger, Katja (2016). « 3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation ». Climate Dynamics. Regional climate modelling Dynamical downscaling SST bias correction West African Monsoon Africa CORDEX CRCM5 Article de revue scientifique PeerReviewed 2016 ftunivquebec https://doi.org/10.1007/s00382-016-3201-9 2023-06-24T23:20:51Z Dynamical downscaling of climate projections over a limited-area domain using a Regional Climate Model (RCM) requires boundary conditions (BC) from a Coupled Global Climate Model (CGCM) simulation. Biases in CGCM-generated BC can have detrimental effects in RCM simulations, so attempts to improve the BC used to drive the RCM simulations are worth exploring. It is in this context that an empirical method involving the bias correction of the sea-surface conditions (SSCs; sea-surface temperature and sea-ice concentration) simulated by a CGCM has been developed: The 3-step dynamical downscaling approach. The SSCs from a CGCM simulation are empirically corrected and used as lower BC over the ocean for an atmosphere-only global climate model (AGCM) simulation, which in turn provides the atmospheric lateral BC to drive the RCM simulation. We analyse the impact of this strategy on the simulation of the African climate, with a special attention to the West African Monsoon (WAM) precipitation, using the fifth-generation Canadian Regional Climate Model (CRCM5) over the CORDEX-Africa domain. The Earth System Model of the Max-Planck-Institut für Meteorologie (MPI-ESM-LR) is used as CGCM and a global version of CRCM5 is used as AGCM. The results indicate that the historical climate is much improved, approaching the skill of reanalysis-driven hindcast simulations. The most remarkable effect of this approach is the positive impact on the simulation of all aspects of the WAM precipitation, mainly due to the correction of SSCs. In fact, our results show that proper sea surface temperature (SST) in the Gulf of Guinea is a necessary condition for an adequate simulation of WAM precipitation, especially over the equatorial region of West Africa. It was found that the climate-change projections under RCP4.5 scenario obtained with the 3-step approach are substantially different from those obtained with usual downscaling approach in which the RCM is directly driven by the CGCM output; in the WAM region most of the differences in the ... Text Sea ice UQAM - Université du Québec à Montréal: archipel Climate Dynamics 48 7-8 2215 2233 |
institution |
Open Polar |
collection |
UQAM - Université du Québec à Montréal: archipel |
op_collection_id |
ftunivquebec |
language |
English |
topic |
Regional climate modelling Dynamical downscaling SST bias correction West African Monsoon Africa CORDEX CRCM5 |
spellingShingle |
Regional climate modelling Dynamical downscaling SST bias correction West African Monsoon Africa CORDEX CRCM5 Hernández-Díaz, Leticia Laprise, René Nikiéma, Oumarou Winger, Katja 3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation |
topic_facet |
Regional climate modelling Dynamical downscaling SST bias correction West African Monsoon Africa CORDEX CRCM5 |
description |
Dynamical downscaling of climate projections over a limited-area domain using a Regional Climate Model (RCM) requires boundary conditions (BC) from a Coupled Global Climate Model (CGCM) simulation. Biases in CGCM-generated BC can have detrimental effects in RCM simulations, so attempts to improve the BC used to drive the RCM simulations are worth exploring. It is in this context that an empirical method involving the bias correction of the sea-surface conditions (SSCs; sea-surface temperature and sea-ice concentration) simulated by a CGCM has been developed: The 3-step dynamical downscaling approach. The SSCs from a CGCM simulation are empirically corrected and used as lower BC over the ocean for an atmosphere-only global climate model (AGCM) simulation, which in turn provides the atmospheric lateral BC to drive the RCM simulation. We analyse the impact of this strategy on the simulation of the African climate, with a special attention to the West African Monsoon (WAM) precipitation, using the fifth-generation Canadian Regional Climate Model (CRCM5) over the CORDEX-Africa domain. The Earth System Model of the Max-Planck-Institut für Meteorologie (MPI-ESM-LR) is used as CGCM and a global version of CRCM5 is used as AGCM. The results indicate that the historical climate is much improved, approaching the skill of reanalysis-driven hindcast simulations. The most remarkable effect of this approach is the positive impact on the simulation of all aspects of the WAM precipitation, mainly due to the correction of SSCs. In fact, our results show that proper sea surface temperature (SST) in the Gulf of Guinea is a necessary condition for an adequate simulation of WAM precipitation, especially over the equatorial region of West Africa. It was found that the climate-change projections under RCP4.5 scenario obtained with the 3-step approach are substantially different from those obtained with usual downscaling approach in which the RCM is directly driven by the CGCM output; in the WAM region most of the differences in the ... |
format |
Text |
author |
Hernández-Díaz, Leticia Laprise, René Nikiéma, Oumarou Winger, Katja |
author_facet |
Hernández-Díaz, Leticia Laprise, René Nikiéma, Oumarou Winger, Katja |
author_sort |
Hernández-Díaz, Leticia |
title |
3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation |
title_short |
3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation |
title_full |
3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation |
title_fullStr |
3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation |
title_full_unstemmed |
3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation |
title_sort |
3-step dynamical downscaling with empirical correction of sea-surface conditions: application to a cordex africa simulation |
publishDate |
2016 |
url |
http://archipel.uqam.ca/9086/1/Hernandez-Diaz_et_al_ClimDyn_2016.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
http://archipel.uqam.ca/9086/ http://dx.doi.org/10.1007/s00382-016-3201-9 doi:10.1007/s00382-016-3201-9 http://archipel.uqam.ca/9086/1/Hernandez-Diaz_et_al_ClimDyn_2016.pdf Hernández-Díaz, Leticia; Laprise, René; Nikiéma, Oumarou et Winger, Katja (2016). « 3-Step dynamical downscaling with empirical correction of sea-surface conditions: application to a CORDEX Africa simulation ». Climate Dynamics. |
op_doi |
https://doi.org/10.1007/s00382-016-3201-9 |
container_title |
Climate Dynamics |
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48 |
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7-8 |
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2215 |
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2233 |
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