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GFDL模式对太平洋海表面温度的年际和年代际变率的模拟评估 被引量:1

Evaluation of interannual and decadal variations of Pacific SST simulated by GFDL models
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摘要 为评估美国地球物理流体动力学实验室(Geophysical Fluid Dynamics Laboratory,GFDL)模式CM3、ESM2M和ESM2G对太平洋海表面温度的年际和年代际变率的模拟能力,本文利用GFDL历史试验模拟结果和美国海洋大气局(National Oceanic and Atmospheric Administration,NOAA)提供的扩展重建的海表温度(Extended Reconstructed Sea Surface Temperature,ERSST)资料,比较模式模拟和观测的厄尔尼诺-南方涛动(El Ni?o-Southern Oscillation,ENSO)和太平洋年代际振荡(Pacific Decadal Oscillation,PDO)的时空分布、周期及可预报性等。结果表明:三个模式均可以较好地模拟太平洋主要年际信号ENSO和年代际信号PDO,ESM2G对ENSO的模拟最好,CM3对PDO的模拟与观测更为接近。研究结果为进一步利用模式探讨ENSO和PDO的物理机制提供可能的参考。 In this paper, we evaluated the ability of the Geophysical Fluid Dynamic Laboratory(GFDL) models CM3, ESM2 M, and ESM2 G to simulate the interannual and decadal variations of Pacific sea surface temperature(SST) by comparing the temporal and spatial distributions, periods, and predictions of observed and simulated El Ni?o-Southern Oscillations(ENSOs) and Pacific Decadal Oscillations(PDOs), based on the output of historical experiments using GFDL models and extended reconstructed sea surface temperature(ERSST) data from the National Oceanic and Atmospheric Administration(NOAA). In general, the models captured well the interannual signals of the ENSO and the decadal signals of the PDO. ENSO is correctly simulated by ESM2 G, while the PDO simulations by CM3 closely resemble those of observations. These results may be referenced in future studies of the physical mechanisms of the ENSO and PDO.
出处 《海洋科学》 CAS CSCD 北大核心 2016年第4期140-148,共9页 Marine Sciences
基金 中国科学院战略性先导科技专项(XDA11010102) 国家自然科学基金委员会创新研究群体科学基金(41421005) 国家自然科学基金委员会与山东省联合基金(U1406401)~~
关键词 GFDL(Geophysical Fluid Dynamics Laboratory)模式 ENSO(El Nino-Southern Oscillation) PDO(Pacific DECADAL Oscillation) 可预报性 GFDL(Geophysical Fluid Dynamics Laboratory) models ENSO(El Nino-Southern Oscillation) PDO(Pacific Decadal Oscillation) predictability
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  • 1Deser C,Blackmon M L. On the relationship betweentropical and North Pacific sea surface temperaturevariations [J]. Journal of Climate, 1995,8(6): 1677- 1680.
  • 2Yeh S W, Kirtman B P. On the relationship between theinterannual and decadal SST variability in the NorthPacific and tropical Pacific OceanfJ]. Journal of Geo-physical Research: Atmospheres (1984-2012), 2003,108(D11):4344.
  • 3Park J Y, Yeh S W, Kug J S. Revisited relationshipbetween tropical and North Pacific sea surface tem-perature variations[J]. Geophysical Research Letters,2012,39(2): L02703.
  • 4Hidalgo H G, Dracup J A. ENSO and PDO effects onhydroclimatic variations of the Upper Colorado RiverBasin[J]. Journal of Hydrometeorology, 2003, 4(1): 5-23.
  • 5Hu Z Z,Huang B. Interferential impact of ENSO andPDO on dry and wet conditions in the US GreatPlains[J]. Journal of Climate,2009, 22: 6047-6065.
  • 6Latif M, Anderson D, Bamett T,et al. A review of thepredictability and prediction of ENSO[J]. Journal ofGeophysical Research: Oceans (1978-2012),1998,103(C7): 14375-14393.
  • 7Newman M. Interannual to decadal predictability oftropical and North Pacific sea surface temperatures[J].Journal of climate, 2007, 20(11): 2333- 2356.
  • 8Behringer D W, Ji M,Leetmaa A. An improved cou-pled model for ENSO prediction and implications forocean initialization. Part I: The ocean data assimilation sys-tem[J]. Monthly Weather Review, 1998,126(4): 1013-1021.
  • 9Wang H, Kumar A, Wang W, et al. Seasonality of thePacific decadal oscillation[J]. Journal of Climate, 2012,25(1): 25-38.
  • 10Sheffield J, Camargo S J, Fu R, et al. North Americanclimate in CMIP5 experiments. Part II: Evaluation ofhistorical simulations of intraseasonal to decadal vari-ability[J]. Journal of Climate, 2013, 26(23): 9247-9290.

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