DOI: 10.1002/joc.5817
论文题名: Effect of coupled global climate models sea surface temperature biases on simulated climate of the western United States
作者: Mejia J.F. ; Koračin D. ; Wilcox E.M.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 14 起始页码: 5386
结束页码: 5404
语种: 英语
英文关键词: CMIP3
; CMIP5
; dynamical downscaling
; error transfer
; precipitation bias
; RCM
; SST biases
Scopus关键词: Atmospheric temperature
; Oceanography
; Submarine geophysics
; Surface properties
; Surface waters
; Weather forecasting
; Atmospheric model intercomparison projects
; CMIP3
; CMIP5
; Dynamical downscaling
; Regional climate modeling (RCM)
; Sea surface temperature (SST)
; SST biases
; Weather research and forecasting models
; Climate models
; atmospheric general circulation model
; climate modeling
; CMIP
; downscaling
; error analysis
; global climate
; precipitation (climatology)
; sea surface temperature
; weather forecasting
; Baja California [(PNN) Mexico]
; California
; Mexico [North America]
; United States
英文摘要: To diagnose the influence of sea surface temperature (SST) biases on temperature and precipitation patterns in the western United States, we analysed atmospheric and coupled global climate model (GCM) simulated output from the Coupled and Atmospheric Model Intercomparison Project versions 3 and 5 (CMIP3, AMIP3, CMIP5, and AMIP5). We further analyse the impact of SST biases in regional climate modelling simulations. CMIP3 and CMIP5 multi-model ensembles show systematic warm SST biases offshore of California and the Baja California Peninsula (Baja) region, with ensemble mean SST biases of the order of ~3–5 °C. Throughout the western United States, 75% of all models in CMIP3 and CMIP5 exhibit wet precipitation biases and corresponding cold biases in surface temperature. The CMIP5 ensemble shows on average a stronger and more consistent relationship between Baja SST biases and precipitation over the west compared to the CMIP3 ensemble. We attempted to isolate the atmospheric response to regional SST biases using a regional climate model (RCM) based on the Weather Research and Forecasting model with a 36 km grid size. The RCM was driven with the CMIP3-CCSM3 as boundary conditions with and without corrections of simulated SSTs. Results from RCM simulations further confirm that SST biases impact climate regionally and propagate over the western United States and can explain up to 80% of wet precipitation biases. Our regional GCM comparison and RCM experiment assess the robustness of model estimates of climate mean states and constitute an often neglected prerequisite for characterizing how errors transfer from GCM to regional downscaling modelling frameworks and how they could potentially affect downscaling application and impact studies. © 2018 The Authors. International Journal of Climatology published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116740
Appears in Collections: 气候减缓与适应
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作者单位: Division of Atmospheric Sciences, Desert Research Institute, Reno, NV, United States; University of Split, Split, Croatia
Recommended Citation:
Mejia J.F.,Koračin D.,Wilcox E.M.. Effect of coupled global climate models sea surface temperature biases on simulated climate of the western United States[J]. International Journal of Climatology,2018-01-01,38(14)