共查询到18条相似文献，搜索用时 546 毫秒
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全球海洋大气耦合环流模式中的ENSO特征对气候背景态改变的敏感性 总被引：3，自引：0，他引：3
文中利用一个高分辨率全球海-气耦合环流模式设计两组长期积分试验,揭示了在不同气候背景态下热带太平洋年际变化特征及模式ENSO循环控制机理的差异。通过分析海表温度、上层海洋热容量和低层风场异常的年际变化特征及其和赤道中东太平洋海表温度异常的关系,揭示了基于不同气候背景场的ENSO循环的不同演变过程。结果表明:ENSO年际变率特征(包括振幅、频率等)对气候背景态相当敏感,在不同的背景场下ENSO循环的控制模态可以明显不同。试验表明,当热带太平洋东冷西暖的背景热力梯度接近多年气候平均时,模式ENSO循环表现为所谓的“时滞振子”模态控制,而随着东西向背景热力梯度显著减小,ENSO循环则可以表现为驻波模态控制。研究结果为认识年代际背景变化影响年际ENSO循环的机理提供了一种启示。 相似文献
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通过对国外各类海气耦合模式及其预报试验的综合分析，从海气耦合模式的分类、模式气候漂移和ENSO年际变化的处理、模式分辨率、耦合方式和模式参数的变化对模式年际变化的影响、ENSO年际预报与预报起始时间和资料的关系、ENSO和季风的海陆气耦合系统等方面评述了影响季和年际数值预报水平的有关问题及发展现状，并对开展我国相应试验研究工作提出了看法。 相似文献
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简单海气耦合模式大气运动方程的非线性对ENSO循环模拟的影响 总被引：1，自引：1，他引：0
研究简单海气耦合模式大气运动方程非线性对ENSO循环的影响,即讨论大气运动方程的纬向非线性、经向非线性、纬向和经向非线性对ENSO循环的影响。同时,讨论了ENSO循环对大气运动方程非线性的敏感性问题。数值实验证明,大气运动方程的非线性对ENSO循环的影响明显,并且ENSO循环对大气运动方程的非线性非常敏感。因此,研究简单海气耦合模式中大气运动方程的非线性对ENSO循环的影响,对进一步理解ENSO循环的物理机制,具有一定的理论意义和实用价值。 相似文献
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建立一个中等复杂程度的海-气耦合模式研究东、西边界反射,纬向平流项-u′(δ)(T+T′)/(δ)x在ENSO循环位相转换中的作用及东、西边界反射与纬向异常流(u′) 符号改变的关系.结果得到:u′超前Nio3区SSTA位相转变的原因是东、西边界反射造成的.Sverdrup 平衡时所产生的地转流(ur)与东、西边界反射所产生的地转流(ur)的方向在大部分时间里是相反的,同时ur与风应力强迫之间大约有9个月的滞后时间(Kelvin波从180°E出发经东边界反射产生的Rossby波到达180°E时间).在模式ENSO事件消亡过程中的某一时刻以后,边界反射产生的调整过程变为主要过程,u′主要由ur来决定,这样就造成了u′的反向先于Nio区SSTA的反向.它实际上是海洋的调整过程与风应力强迫之间滞后关系的一种反映.敏感性数值试验表明,取消东边界反射,耦合模式能够模拟ENSO循环,但其周期比控制试验的周期短一年(3年).取消-u′(δ)(T+T′)/(δ)x,耦合模式能够模拟ENSO循环,但其周期比控制试验的周期长2年(6年). 相似文献
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全球海气耦合模式系统(NIM/COAMS)Ⅱ.年际变化的模拟 总被引：1，自引：1，他引：1
利用文献[1]建立的全球海气耦合模式系统（NIM／COAMS），对模式的年际变化模拟能力进行了检验。50a积分显示，模式模拟出了大气和海洋界面的主要年际变率，能真实地模拟热带太平洋ENSO循环的主要特征，较好地再现了ENSO循环的过程，循环周期在3—5a之间，与实际观测值一致，同时模式也较好地反映了大气和海洋的耦合特征，对年际变化有较强的模拟能力，这与FRAC耦合方案设计有关，该方法能避免气候场的牵制作用，增强模式对年际变化的模拟能力。 相似文献
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气候系统模式FGOALS_gl模拟的赤道太平洋年际变率 总被引：4，自引：1，他引：3
本文分析了中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室 (LASG/IAP) 发展的气候系统模式FGOALS_gl对赤道太平洋年际变率的模拟能力。结果表明, FGOALS_gl可以较好地模拟出赤道太平洋SST异常年际变率的主要特征, 但模拟的ENSO事件振幅偏大, 且变率周期过于规则。耦合模式模拟的气候平均风应力在热带地区比ERA40再分析资料的风应力强度偏弱30%左右, 由此引起的海洋平均态的变化, 是造成模拟的ENSO振幅偏强的主要原因。FGOALS_gl模拟的ENSO峰值多出现在春季或夏季, 原因可归之于模式模拟的SST季节循环偏差。耦合模式可以合理再现ENSO演变过程, 但观测中SST异常的东传特征在模式中没有得到再现, 这与模拟的ENSO发展模态表现为单一的 “SST模态” 有关。模拟的ENSO位相转换机制与 “充电—放电” 概念模型相符合, 赤道太平洋热含量的变化是维持ENSO振荡的机制。在ENSO暖位相时期, 赤道中东太平洋与印度洋—西太平洋暖池区的海平面气压距平型表现为南方涛动型 (SO型), 200 hPa位势高度分布表现为太平洋—北美遥相关型 (PNA型)。 相似文献
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一个海洋-大气-动态植被耦合模式评估——海洋环流模拟 总被引：1，自引：1，他引：0
利用中国科学院大气物理研究所（IAP）大气科学与地球流体力学数值模拟国家重点实验室(LASG)的全球耦合模式(GOALS〖CD*2〗AVIM),进行了100年积分。利用后40年的结果对模式耦合植被动态过程（AVIM）前后输出的海洋物理场对比分析。结果表明：耦合AVIM后的模式可以合理地模拟全球海洋温盐环流的气候态、季节变化,可以改进模式的模拟效果,在一定程度上克服了耦合AVIM前模式的缺点,使模拟结果更接近实测。由于植被〖CD*2〗大气的双向作用,在季节变化的模拟中,9月的改进效果大于3月的,北半球大于南半球;对于年平均气候态,耦合AVIM后的模式结果在热带海区海表面温度（SST）的模拟效果得到了明显改善,尤其是赤道太平洋海区的海温偏低现象得到了改善;在年际变化的模拟中,改善了耦合AVIM前模式模拟的年际变化分布,加大了赤道太平洋的标准差的模拟,使得耦合AVIM后模拟的年际变化大于耦合前;增强了耦合模式对赤道太平洋ENSO的模拟能力,较耦合AVIM前的模式模拟出了更多的ENSO基本特征,也改善了耦合AVIM前ENSO变化周期偏弱、偏短的现象;同样改善了对气候系统中存在的相互作用的模拟,对于热带印度洋SST变化与赤道太平洋SST的相互关联的模拟中,更加真实地模拟出了气候系统中存在的相互关联关系,体现出了AVIM动态植被过程对气候耦合模式的改善。 相似文献
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耦合模式FGOALS_s 模拟的亚澳季风年际变率及ENSO 总被引：10，自引：7，他引：3
本文评估了中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室 (LASG/IAP) 新一代耦合气候模式FGOALS_s对亚澳季风和ENSO的模拟。结果表明, FGOALS_s可以模拟出亚澳季风的主要气候态特征。FGOALS_s模拟的ENSO事件振幅为观测值的70%, 同时它合理再现了ENSO周期的非规则性。FGOALS_s可以定性模拟出ENSO的主要空间特征。当赤道东太平洋SST升高时, 印度洋和西太平洋海表面气压升高, 而东太平洋海表面气压降低。FGOALS_s的主要缺陷在于模拟的ENSO峰值多出现在春季和夏季。与ENSO振幅偏小相反, FGOALS_s模拟的亚澳季风年际变率振幅大于观测。但是观测中亚澳季风年际变率与ENSO暖位相的显著负相关关系, 在模式中没有得到合理再现, 原因部分可归之于耦合模式在ENSO锁相模拟上的缺陷。由于模式模拟的ENSO峰值出现在北半球春季和夏季, Walker环流异常下沉支移动到西北太平洋, 其激发出的异常反气旋位置较之观测要偏东, 导致印度季风降水和El Niño的负相关关系不显著; 在北半球冬季, 由于模式中的赤道东太平洋SST暖异常较弱, 亚澳季风响应也偏弱。此外, 由于赤道东太平洋SST异常向西伸展, 观测中位于澳洲季风区的辐散中心向西偏移, 最终导致模式中澳洲季风降水与ENSO的负相关同样不显著。 相似文献
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A hybrid coupled model (HCM) for the tropical Pacific ocean-atmosphere system is used to test the effects of physical parametrizations
on ENSO simulation. The HCM consists of the Geophysical Fluid Dynamics Laboratory ocean general circulation model coupled
to an empirical atmospheric model based on the covariance matrix of observed SST and wind stress anomaly fields. In this two-part
work, part I describes the effects of ocean vertical mixing schemes and atmospheric spin-up time on ENSO period. Part II addresses
ENSO prediction using the HCM and examines the impact of initialization schemes. The standard version of the HCM exhibits
spatial and temporal evolution that compare well to observations, with irregular cycles that tend to exhibit 3- and 4-year
frequency-locking behavior. Effects in the vertical mixing parametrization that produce stronger mixing in the surface layer
give a longer inherent ENSO period, suggesting model treatment of vertical mixing is crucial to the ENSO problem. Although
the atmospheric spin-up time scale is short compared to ENSO time scales, it also has a significant effect in lengthening
the ENSO period. This suggests that atmospheric time scales may not be truly negligible in quantitative ENSO theory. Overall,
the form and evolution mechanism of the ENSO cycle is robust, even though the period is affected by these physical parametrizations.
Received: 17 April 1998 / Accepted: 22 July 1999 相似文献
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Impacts of shortwave radiation forcing on ENSO: a study with a coupled tropical ocean-atmosphere model 总被引：2，自引：0，他引：2
We describe a coupled tropical ocean-atmosphere model that represents a new class of models that fill the gap between anomaly
coupled models and fully coupled general circulation models. Both the atmosphere and ocean are described by two and half layer
primitive equation models, which emphasize the physical processes in the oceanic mixed layer and atmospheric boundary layer.
Ocean and atmosphere are coupled through both momentum and heat flux exchanges without explicit flux correction. The coupled
model, driven by solar radiation, reproduces a realistic annual cycle and El Nino-Southern Oscillation (ENSO). In the presence
of annual mean shortwave radiation forcing, the model exhibits an intrinsic mode of ENSO. The oscillation period depends on
the mean forcing that determines the coupled mean state. A perpetual April (October) mean forcing prolongs (shortens) the
oscillation period through weakening (enhancing) the mean upwelling and mean vertical temperature gradients. The annual cycle
of the solar forcing is shown to have fundamental impacts on the behavior of ENSO cycles through establishing a coupled annual
cycle that interacts with the ENSO mode. Due to the annual cycle solar forcing, the single spectral peak of the intrinsic
ENSO mode becomes a double peak with a quasi-biennial and a low-frequency (4–5 years) component; the evolution of ENSO becomes
phase-locked to the annual cycle; and the amplitude and frequency of ENSO become variable on an interdecadal time scale due
to interactions of the mean state and the two ENSO components. The western Pacific monsoon (the annual shortwave radiation
forcing in the western Pacific) is primarily responsible for the generation of the two ENSO components. The annual march of
the eastern Pacific ITCZ tends to lock ENSO phases to the annual cycle. The model's deficiencies, limitations, and future
work are also discussed.
Received: 15 June 1999 / Accepted: 11 December 1999 相似文献
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This paper uses recent gridded climatological data and a coupled general circulation model (GCM) simulation in order to assess the relationships between the interannual variability of the Indian summer monsoon (ISM) and the El Niño-Southern Oscillation (ENSO). The focus is on the dynamics of the ISM-ENSO relationships and the ability of the state-of-the-art coupled GCM to reproduce the complex lead-lag relationships between the ISM and the ENSO. The coupled GCM is successful in reproducing the ISM circulation and rainfall climatology in the Indian areas even though the entire ISM circulation is weaker relative to that observed. In both observations and in the simulation, the ISM rainfall anomalies are significantly associated with fluctuations of the Hadley circulation and the 200 hPa zonal wind anomalies over the Indian Ocean. A quasi-biennial time scale is found to structure the ISM dynamical and rainfall indices in both cases. Moreover, ISM indices have a similar interannual variability in the simulation and observations. The coupled model is less successful in simulating the annual cycle in the tropical Pacific. A major model bias is the eastward displacement of the western North Pacific inter-tropical convergence zone (ITCZ), near the dateline, during northern summer. This introduces a strong semiannual component in Pacific Walker circulation indices and central equatorial Pacific sea surface temperatures. Another weakness of the coupled model is a less-than-adequate simulation of the Southern Oscillation due to an erroneous eastward extension of the Southern Pacific convergence zone (SPCZ) year round. Despite these problems, the coupled model captures some aspects of the interannual variability in the tropical Pacific. ENSO events are phase-locked with the annual cycle as observed, but are of reduced amplitude relative to the observations. Wavelet analysis of the model Niño34 time series shows enhanced power in the 2–4 year band, as compared to the 2–8 year range for observations during the 1950–2000 period. The ISM circulation is weakened during ENSO years in both the simulation and the observations. However, the model fails to reproduce the lead-lag relationship between the ISM and Niño34 sea surface temperatures (SSTs). Furthermore, lag correlations show that the delayed response of the wind stress over the central Pacific to ISM variability is insignificant in the simulation. These features are mainly due to the unrealistic interannual variability simulated by the model in the western North Pacific. The amplitude and even the sign of the simulated surface and upper level wind anomalies in these areas are not consistent with observed patterns during weak/strong ISM years. The ISM and western North Pacific ITCZ fluctuate independently in the observations, while they are negatively and significantly correlated in the simulation. This isolates the Pacific Walker circulation from the ISM forcing. These systematic errors may also contribute to the reduced amplitude of ENSO variability in the coupled simulation. Most of the unrealistic features in simulating the Indo-Pacific interannual variability may be traced back to systematic errors in the base state of the coupled model. 相似文献
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Emilia K. Jin James L. Kinter III B. Wang C.-K. Park I.-S. Kang B. P. Kirtman J.-S. Kug A. Kumar J.-J. Luo J. Schemm J. Shukla T. Yamagata 《Climate Dynamics》2008,31(6):647-664
The overall skill of ENSO prediction in retrospective forecasts made with ten different coupled GCMs is investigated. The coupled GCM datasets of the APCC/CliPAS and DEMETER projects are used for four seasons in the common 22 years from 1980 to 2001. As a baseline, a dynamic-statistical SST forecast and persistence are compared. Our study focuses on the tropical Pacific SST, especially by analyzing the NINO34 index. In coupled models, the accuracy of the simulated variability is related to the accuracy of the simulated mean state. Almost all models have problems in simulating the mean and mean annual cycle of SST, in spite of the positive influence of realistic initial conditions. As a result, the simulation of the interannual SST variability is also far from perfect in most coupled models. With increasing lead time, this discrepancy gets worse. As one measure of forecast skill, the tier-1 multi-model ensemble (MME) forecasts of NINO3.4 SST have an anomaly correlation coefficient of 0.86 at the month 6. This is higher than that of any individual model as well as both forecasts based on persistence and those made with the dynamic-statistical model. The forecast skill of individual models and the MME depends strongly on season, ENSO phase, and ENSO intensity. A stronger El Niño is better predicted. The growth phases of both the warm and cold events are better predicted than the corresponding decaying phases. ENSO-neutral periods are far worse predicted than warm or cold events. The skill of forecasts that start in February or May drops faster than that of forecasts that start in August or November. This behavior, often termed the spring predictability barrier, is in part because predictions starting from February or May contain more events in the decaying phase of ENSO. 相似文献
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Qian Weihong 《Acta Meteorologica Sinica》1997,11(1):105-118
In recent years,the dynamic coupled models of ocean-atmosphere and statistical models have been used in routine operation for issuing long-lead forecasts.The dynamic coupled models consist of models with varying degrees of complexity,ranging from simplified coupled models of the shallow water to coupled general circulation models.During the period of 1980-1992,some models performed considerably better than the persistence forecast on predicting typical indices of ENSO for lead time of 6 to 12 months.It seems that ENSO is predictable at least one year in advance.However.nearly all the models have lost their skill of forecasting sea surface temperature(SST)changes in the eastern equatorial Pacific since 1992.It is a challenge not only to the dynamic models but also to the understanding of the ENSO cycle mechanism.This paper examines multiple time-space scales of the ocean-atmosphere interactions and potential prediction ability of ENSO event by using data analysis and model study. 相似文献
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SST and ENSO variability and change simulated in historical experiments of CMIP5 models 总被引：1，自引：1，他引：0
This work documents the diversity in Coupled Model Inter-comparison Project Phase 5 (CMIP5) models in simulating different aspects of sea surface temperature (SST) variability, particularly those associated with the El Niño–Southern Oscillation (ENSO), as well as the impact of low-frequency variations on the ENSO variability and its global teleconnection. The historical simulations (1870–2005) include 10 models with ensemble member ranging from 3 to 10 that are forced with observed atmospheric composition changes reflecting both natural and anthropogenic forcings. It is shown that the majority of the CMIP5 models capture the relative large SST anomaly variance in the tropical central and eastern Pacific, as well as in North Pacific and North Atlantic. The frequency of ENSO is not well captured by almost all models, particularly for the period of 5–6 years. The low-frequency variations in SST caused by external forcings affect the SST variability and also modify the global teleconnection of ENSO. The models reproduce the global averaged SST low-frequency variations, particularly since 1970s. However, majority of the models are unable to correctly simulate the spatial pattern of the observed SST trends. These results suggest that it is still a challenge to reproduce the features of global historical SST variations with the state-of-the-art coupled general circulation model. 相似文献
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热带太平洋线性海气耦合系统的主模与ENSO 总被引：2，自引：0，他引：2
本文利用包含海洋表面边界层、线性海洋大气动力学以及完整的关于不均匀气候态线性化SST预报方程的热带太平洋海气耦合模式， 在真实的气候背景态和参数域内，研究了海气耦合系统的特征值问题，确定了线性耦合系统主模的特征周期及其稳定性特征，进而揭示了主模和ENSO的关系。结果表明:准两年振荡是线性海气耦合系统中的最不稳定模态，且只有该模态类似于ENSO水平结构。因此，准两年振荡很可能是海气耦合系统固有的最根本性的振荡过程。本文也对准两年振荡的形成与年循环的关系以及它在ENSO时间尺度形成中的作用进行了讨论。 相似文献