Indian Ocean Variability in the CMIP5 Multimodel Ensemble: The Basin Mode
[Du, Yan; Yang, Ya-Li] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China; [Xie, Shang-Ping] Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA; [Xie, Shang-Ping] Univ Hawaii Manoa, Dept Meteorol, Honolulu, HI 96822 USA; [Xie, Shang-Ping; Zheng, Xiao-Tong] Ocean Univ China, Phys Oceanog Lab, Qingdao, Peoples R China; [Xie, Shang-Ping] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA; [Zheng, Xiao-Tong] Ocean Univ China, Key Lab Ocean Atmosphere Interact & Climate Univ, Qingdao, Peoples R China; [Liu, Lin] State Ocean Adm, Inst Oceanog 1, Qingdao, Peoples R China; [Huang, Gang] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing, Peoples R China; duyan@scsio.ac.cn
2013
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
卷号26期号:18页码:7240-7266
摘要This study evaluates the simulation of the Indian Ocean Basin (IOB) mode and relevant physical processes in models from phase 5 of the Coupled Model Intercomparison Project (CMIP5). Historical runs from 20 CMIP5 models are available for the analysis. They reproduce the IOB mode and its close relationship to El Nino-Southern Oscillation (ENSO). Half of the models capture key IOB processes: a downwelling oceanic Rossby wave in the southern tropical Indian Ocean (TIO) precedes the IOB development in boreal fall and triggers an antisymmetric wind anomaly pattern across the equator in the following spring. The anomalous wind pattern induces a second warming in the north Indian Ocean (NIO) through summer and sustains anticyclonic wind anomalies in the northwest Pacific by radiating a warm tropospheric Kelvin wave. The second warming in the NIO is indicative of ocean-atmosphere interaction in the interior TIO. More than half of the models display a double peak in NIO warming, as observed following El Nino, while the rest show only one winter peak. The intermodel diversity in the characteristics of the IOB mode seems related to the thermocline adjustment in the south TIO to ENSO-induced wind variations. Almost all the models show multidecadal variations in IOB variance, possibly modulated by ENSO.
部门归属LTO
关键词Indian Ocean Atmosphere-ocean Interaction Enso Climate Models Model Evaluation Performance Climate Variability
学科领域Meteorology & Atmospheric Sciences
资助者We wish to thank Y. Wu of LTO/SCSIO for help in downloading and processing CMIP5 data. We acknowledge the WCRP Working Group on Coupled Modelling, which is responsible for CMIP5, the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output, and we thank the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison (PCMDI) for providing coordinating support and organizing the analysis activity in partnership with the Global Organization for Earth System Science Portals. The satellite-merged SSH data, SODA reanalysis, and ERSST were obtained from APDRC, University of Hawai"i at Manoa (http://apdrc.soest.hawaii.edu), and HadISST and HadSST3 were obtained from the Met Office Hadley Centre (http://www.metoffice.gov.uk). This work is supported by MoST (2012CB955603, 2010CB950302), CAS (XDA05090404), NSFC (41176024, 41106010), LTO (LTOZZ1202), NSF, and JAMSTEC. ; We wish to thank Y. Wu of LTO/SCSIO for help in downloading and processing CMIP5 data. We acknowledge the WCRP Working Group on Coupled Modelling, which is responsible for CMIP5, the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output, and we thank the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison (PCMDI) for providing coordinating support and organizing the analysis activity in partnership with the Global Organization for Earth System Science Portals. The satellite-merged SSH data, SODA reanalysis, and ERSST were obtained from APDRC, University of Hawai"i at Manoa (http://apdrc.soest.hawaii.edu), and HadISST and HadSST3 were obtained from the Met Office Hadley Centre (http://www.metoffice.gov.uk). This work is supported by MoST (2012CB955603, 2010CB950302), CAS (XDA05090404), NSFC (41176024, 41106010), LTO (LTOZZ1202), NSF, and JAMSTEC. ; We wish to thank Y. Wu of LTO/SCSIO for help in downloading and processing CMIP5 data. We acknowledge the WCRP Working Group on Coupled Modelling, which is responsible for CMIP5, the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output, and we thank the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison (PCMDI) for providing coordinating support and organizing the analysis activity in partnership with the Global Organization for Earth System Science Portals. The satellite-merged SSH data, SODA reanalysis, and ERSST were obtained from APDRC, University of Hawai"i at Manoa (http://apdrc.soest.hawaii.edu), and HadISST and HadSST3 were obtained from the Met Office Hadley Centre (http://www.metoffice.gov.uk). This work is supported by MoST (2012CB955603, 2010CB950302), CAS (XDA05090404), NSFC (41176024, 41106010), LTO (LTOZZ1202), NSF, and JAMSTEC. ; We wish to thank Y. Wu of LTO/SCSIO for help in downloading and processing CMIP5 data. We acknowledge the WCRP Working Group on Coupled Modelling, which is responsible for CMIP5, the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output, and we thank the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison (PCMDI) for providing coordinating support and organizing the analysis activity in partnership with the Global Organization for Earth System Science Portals. The satellite-merged SSH data, SODA reanalysis, and ERSST were obtained from APDRC, University of Hawai"i at Manoa (http://apdrc.soest.hawaii.edu), and HadISST and HadSST3 were obtained from the Met Office Hadley Centre (http://www.metoffice.gov.uk). This work is supported by MoST (2012CB955603, 2010CB950302), CAS (XDA05090404), NSFC (41176024, 41106010), LTO (LTOZZ1202), NSF, and JAMSTEC.
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资助者We wish to thank Y. Wu of LTO/SCSIO for help in downloading and processing CMIP5 data. We acknowledge the WCRP Working Group on Coupled Modelling, which is responsible for CMIP5, the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output, and we thank the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison (PCMDI) for providing coordinating support and organizing the analysis activity in partnership with the Global Organization for Earth System Science Portals. The satellite-merged SSH data, SODA reanalysis, and ERSST were obtained from APDRC, University of Hawai"i at Manoa (http://apdrc.soest.hawaii.edu), and HadISST and HadSST3 were obtained from the Met Office Hadley Centre (http://www.metoffice.gov.uk). This work is supported by MoST (2012CB955603, 2010CB950302), CAS (XDA05090404), NSFC (41176024, 41106010), LTO (LTOZZ1202), NSF, and JAMSTEC. ; We wish to thank Y. Wu of LTO/SCSIO for help in downloading and processing CMIP5 data. We acknowledge the WCRP Working Group on Coupled Modelling, which is responsible for CMIP5, the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output, and we thank the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison (PCMDI) for providing coordinating support and organizing the analysis activity in partnership with the Global Organization for Earth System Science Portals. The satellite-merged SSH data, SODA reanalysis, and ERSST were obtained from APDRC, University of Hawai"i at Manoa (http://apdrc.soest.hawaii.edu), and HadISST and HadSST3 were obtained from the Met Office Hadley Centre (http://www.metoffice.gov.uk). This work is supported by MoST (2012CB955603, 2010CB950302), CAS (XDA05090404), NSFC (41176024, 41106010), LTO (LTOZZ1202), NSF, and JAMSTEC. ; We wish to thank Y. Wu of LTO/SCSIO for help in downloading and processing CMIP5 data. We acknowledge the WCRP Working Group on Coupled Modelling, which is responsible for CMIP5, the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output, and we thank the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison (PCMDI) for providing coordinating support and organizing the analysis activity in partnership with the Global Organization for Earth System Science Portals. The satellite-merged SSH data, SODA reanalysis, and ERSST were obtained from APDRC, University of Hawai"i at Manoa (http://apdrc.soest.hawaii.edu), and HadISST and HadSST3 were obtained from the Met Office Hadley Centre (http://www.metoffice.gov.uk). This work is supported by MoST (2012CB955603, 2010CB950302), CAS (XDA05090404), NSFC (41176024, 41106010), LTO (LTOZZ1202), NSF, and JAMSTEC. ; We wish to thank Y. Wu of LTO/SCSIO for help in downloading and processing CMIP5 data. We acknowledge the WCRP Working Group on Coupled Modelling, which is responsible for CMIP5, the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output, and we thank the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison (PCMDI) for providing coordinating support and organizing the analysis activity in partnership with the Global Organization for Earth System Science Portals. The satellite-merged SSH data, SODA reanalysis, and ERSST were obtained from APDRC, University of Hawai"i at Manoa (http://apdrc.soest.hawaii.edu), and HadISST and HadSST3 were obtained from the Met Office Hadley Centre (http://www.metoffice.gov.uk). This work is supported by MoST (2012CB955603, 2010CB950302), CAS (XDA05090404), NSFC (41176024, 41106010), LTO (LTOZZ1202), NSF, and JAMSTEC.
WOS记录号WOS:000324057600028
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被引频次:32[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.scsio.ac.cn/handle/344004/10887
专题热带海洋环境国家重点实验室(LTO)
通讯作者duyan@scsio.ac.cn
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[Du, Yan,Yang, Ya-Li] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China,[Xie, Shang-Ping] Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA,et al. Indian Ocean Variability in the CMIP5 Multimodel Ensemble: The Basin Mode[J]. JOURNAL OF CLIMATE,2013,26(18):7240-7266.
APA [Du, Yan.,Yang, Ya-Li] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China.,[Xie, Shang-Ping] Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA.,[Xie, Shang-Ping] Univ Hawaii Manoa, Dept Meteorol, Honolulu, HI 96822 USA.,[Xie, Shang-Ping.,...&duyan@scsio.ac.cn.(2013).Indian Ocean Variability in the CMIP5 Multimodel Ensemble: The Basin Mode.JOURNAL OF CLIMATE,26(18),7240-7266.
MLA [Du, Yan,et al."Indian Ocean Variability in the CMIP5 Multimodel Ensemble: The Basin Mode".JOURNAL OF CLIMATE 26.18(2013):7240-7266.
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