DOI: 10.1007/s00382-017-3912-6
Scopus记录号: 2-s2.0-85030310625
论文题名: Dynamical downscaling with the fifth-generation Canadian regional climate model (CRCM5) over the CORDEX Arctic domain: effect of large-scale spectral nudging and of empirical correction of sea-surface temperature
作者: Takhsha M. ; Nikiéma O. ; Lucas-Picher P. ; Laprise R. ; Hernández-Díaz L. ; Winger K.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 51, 期: 2018-01-02 起始页码: 161
结束页码: 186
语种: 英语
英文关键词: Arctic
; Climate change projections
; CORDEX
; CRCM5
; Dynamical downscaling
; Regional climate modelling
; SST bias correction
Scopus关键词: climate change
; climate modeling
; correction
; downscaling
; empirical analysis
; experimental study
; precipitation (climatology)
; regional climate
; sea surface temperature
; Africa
; Arctic
; Atlantic Ocean
; Atlantic Ocean (North)
; Canada
; Pacific Ocean
; Pacific Ocean (North)
英文摘要: As part of the CORDEX project, the fifth-generation Canadian Regional Climate Model (CRCM5) is used over the Arctic for climate simulations driven by reanalyses and by the MPI-ESM-MR coupled global climate model (CGCM) under the RCP8.5 scenario. The CRCM5 shows adequate skills capturing general features of mean sea level pressure (MSLP) for all seasons. Evaluating 2-m temperature (T2m) and precipitation is more problematic, because of inconsistencies between observational reference datasets over the Arctic that suffer of a sparse distribution of weather stations. In our study, we additionally investigated the effect of large-scale spectral nudging (SN) on the hindcast simulation driven by reanalyses. The analysis shows that SN is effective in reducing the spring MSLP bias, but otherwise it has little impact. We have also conducted another experiment in which the CGCM-simulated sea-surface temperature (SST) is empirically corrected and used as lower boundary conditions over the ocean for an atmosphere-only global simulation (AGCM), which in turn provides the atmospheric lateral boundary conditions to drive the CRCM5 simulation. This approach, so-called 3-step approach of dynamical downscaling (CGCM-AGCM-RCM), which had considerably improved the CRCM5 historical simulations over Africa, exhibits reduced impact over the Arctic domain. The most notable positive effect over the Arctic is a reduction of the T2m bias over the North Pacific Ocean and the North Atlantic Ocean in all seasons. Future projections using this method are compared with the results obtained with the traditional 2-step dynamical downscaling (CGCM-RCM) to assess the impact of correcting systematic biases of SST upon future-climate projections. The future projections are mostly similar for the two methods, except for precipitation. © 2017, The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109211
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Département des sciences de la Terre et de l’atmosphère, Centre ESCER (Étude et la Simulation du Climat à l’Échelle Régionale), Université du Québec à Montréal (UQAM), Montreal, Canada
Recommended Citation:
Takhsha M.,Nikiéma O.,Lucas-Picher P.,et al. Dynamical downscaling with the fifth-generation Canadian regional climate model (CRCM5) over the CORDEX Arctic domain: effect of large-scale spectral nudging and of empirical correction of sea-surface temperature[J]. Climate Dynamics,2018-01-01,51(2018-01-02)