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61.
Simulation of state-dependent high-frequency atmospheric variability associated with ENSO 总被引：1，自引：1，他引：0
Jong-Seong Kug K. P. Sooraj Daehyun Kim In-Sik Kang Fei-Fei Jin Yukari N. Takayabu Masahide Kimoto 《Climate Dynamics》2009,32(5):635-648
High-frequency atmospheric variability depends on the phase of El Nino/Southern Oscillation (ENSO). Recently, there is increasing
evidence that state-dependent high-frequency atmospheric variability significantly modulates ENSO characteristics. Hence,
in this study, we examine the model simulations of high-frequency atmospheric variability and, further, its dependency on
the El Nino phase, using atmospheric and coupled GCMs (AGCM and CGCM). We use two versions of physical packages here—with
and without convective momentum transport (CMT)—in both models. We found that the CMT simulation gives rise to a large climatological
zonal wind difference over the Pacific. Also, both the climate models show a significantly improved performance in simulating
the state-dependent noise when the CMT parameterization is implemented. We demonstrate that the better simulation of the state-dependent
noise results from a better representation of anomalous, as well as climatological, zonal wind. Our further comparisons between
the simulations, demonstrates that low-frequency wind is a crucial factor in determining the state-dependency of high-frequency
wind variability. Therefore, it is suggested that the so-called state-dependent noise is directly induced by the low-frequency
wind anomaly, which is caused by SST associated with ENSO. 相似文献
62.
本文使用加拿大气候模拟与分析中心(Canadian Center for Climate Modeling and Analysis,CCCma)的耦合模式预报产品,应用以信息论为基础的可预报性理论框架,诊断、分析了耦合模式中Madden-Julian Oscillation(MJO)的预报率,包括实际预报技巧和潜在预报率,以及热带季节内尺度变率(Intraseasonal Variability,ISV)最可预报模态的空间分布。并在此基础上讨论了不同时间尺度平均对MJO预报技巧的影响。结果表明:本文使用的2个耦合模式中,MJO的预报技巧与目前全球主要使用的预报模式相近,约为10 d。潜在可预报技巧可以达到30 d以上。随着时间尺度从日平均增加到10 d平均,MJO的实际预报技巧与潜在可预报技巧都相应提高,尤其是潜在可预报技巧的提高更加显著。进一步分析发现,影响实际预报技巧的一个重要因素是初始条件MJO信号的强弱,当MJO信号很强时,预报技巧较高,反之则较低。本文最后分析了模式中ISV最可预报模态的空间分布,并讨论了如何利用这种最可预报空间分布提高ISV的实际预报技巧。 相似文献
63.
利用1979—2013年NCEP/DOE再分析资料的大气多要素日平均资料、美国NOAA日平均向外长波辐射资料和ERSST月平均海温资料,分析赤道大气季节内振荡(简称MJO)活动对南海夏季风爆发的影响及其与热带海温信号等的协同作用.结果表明,赤道MJO活动与南海夏季风爆发密切联系,MJO的湿位相(即对流活跃位相)处于西太平洋位相时,有利于南海夏季风爆发,而MJO湿位相处于印度洋位相时,则不利于南海夏季风爆发.赤道MJO活动影响南海夏季风爆发的物理过程主要是大气对热源响应的结果,当MJO湿位相处于西太平洋位相时,一方面热带西太平洋对流加强使潜热释放增加,导致处于热源西北侧的南海—西北太平洋地区对流层低层由于Rossby响应产生气旋性环流异常,气旋性环流异常则有利于西太平洋副热带高压的东退,另一方面菲律宾附近热源促进对流层高层南亚高压在中南半岛和南海北部的建立,使南海地区高层为偏东风,从而有利于南海夏季风建立;当湿位相MJO处于印度洋位相时,热带西太平洋对流减弱转为大气冷源,情况基本相反,不利于南海夏季风建立.MJO活动、孟加拉湾气旋性环流与年际尺度海温变化协同作用,共同对南海夏季风爆发迟早产生影响,近35年南海夏季风爆发时间与海温信号不一致的年份,基本上是由于季节转换期间的MJO活动特征及孟加拉湾气旋性环流是否形成而造成,因此三者综合考虑对于提高季风爆发时间预测水平具有重要意义. 相似文献
64.
This paper focuses on the impacts of convective momentum transport (CMT) on simulations of the tropical intraseasonal oscillation (TIO) in SAMIL. Two sets of experiments are performed, which give different reality of the Madden-Julian Oscillation (MJO). The Tiedtke cumulus parameterization scheme is used for all experiments. It is found that simulations of the TIO can be influenced by CMT, and the impacts on the simulated TIO depend on the model capability in simulating the MJO. CMT tends to have large influences to the model that can simulate the eastward propagation of the MJO. CMT can further influence the long-term mean of zonal wind and its vertical shear. Zonal wind suffers from easterlies biases at low level and westerlies biases at upper level when CMT is introduced. Such easterlies biases at low level reduce the reality of the simulated tropical intraseasonal oscillation. When CMT is introduced in the model, MJO signals disappear but the model’s mean state improves. Therefore, a more appropriate way is needed to introduce CMT to the model to balance the simulated mean state and TIO signals. 相似文献
65.
Recent Advance in Understanding the Dynamics of the Madden-Julian Oscillation 总被引：4，自引：1，他引：3 
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下载免费PDF全文 Tim LI 《Acta Meteorologica Sinica》2014,28(1):1-33
The Madden-Julian oscillation （MJO） is a dominant atmospheric low-frequency mode in the tropics. In this review article, recent progress in understanding the MJO dynamics is described. Firstly, the fundamental physical processes responsible for MJO eastward phase propagation are discussed. Next, a recent modeling result to address why MJO prefers a planetary zonal scale is presented. The effect of the seasonal mean state on distinctive propagation characteristics between northern winter and summer is discussed in a theoretical framework. Then, the observed precursor signals and the physical mechanism of MJO initiation in the western equatorial Indian Ocean are further discussed. Finally, scale interactions between MJO and higher- frequency eddies are delineated. 相似文献
66.
10-30天延伸期预报及其策略思考 总被引：1，自引：0，他引：1
在当前的气象预报业务中,10~30 d的延伸期预报是“无缝隙预报”中的难点。由于理论基础尚不完备,致使延伸期的准确预报还存在诸多困难。但对10~30 d延伸期预报业务迫切的社会需求,使其成为众多气象专家关注的研究热点。本文对10~30 d延伸期预报的概念、意义进行了阐述,在此基础上对其物理过程性质和预报困难的原因进行了分析。讨论了延伸期预报的预报对象,并在借鉴前人成果的基础上,总结归纳出了低频振荡方法、经验波传播方法、相似预报方法、物理统计方法、动力学方法（集合预报方法）、大气环流模式和中期模式集合方法、动力统计方法、综合集成方法等8种做延伸期预报的方法。 相似文献
67.
A latent heating peak in the PBL was detected in a simulation by a global GCM that failed to reproduce Madden-Julian Oscillation(MJO).The latent heating peak in the PBL was generated by very shallow convection,which prevented moisture from being transported to the free troposphere.Large amount of moisture was therefore confined to the PBL,leading to a dry bias in the free atmosphere.Suffering from this dry bias,deep convection became lethargic,and MJO signals failed to occur.When the latent heating peak in the PBL was removed in another simulation,reasonable MJO signals,including the eastward propagation and the structure of its large-scale circulation,appeared.We therefore propose that the excessive latent heating peak in the PBL due to hyperactive shallow convection may be a reason for a lack of MJO signals in some simulations by other GCMs as well. 相似文献
68.
Bian HE Qing BAO Xiaocong WANG Linjiong ZHOU Xiaofei WU Yimin LIU Guoxiong WU Kangjun CHEN Sicheng HE Wenting HU Jiandong LI Jinxiao LI Guokui NIAN Lei WANG Jing YANG Minghua ZHANG Xiaoqi ZHANG 《大气科学进展》2019,(8):771-778
The outputs of the Chinese Academy of Sciences(CAS) Flexible Global Ocean–Atmosphere–Land System(FGOALS-f3-L) model for the baseline experiment of the Atmospheric Model Intercomparison Project simulation in the Diagnostic,Evaluation and Characterization of Klima common experiments of phase 6 of the Coupled Model Intercomparison Project(CMIP6) are described in this paper. The CAS FGOALS-f3-L model, experiment settings, and outputs are all given. In total,there are three ensemble experiments over the period 1979–2014, which are performed with different initial states. The model outputs contain a total of 37 variables and include the required three-hourly mean, six-hourly transient, daily and monthly mean datasets. The baseline performances of the model are validated at different time scales. The preliminary evaluation suggests that the CAS FGOALS-f3-L model can capture the basic patterns of atmospheric circulation and precipitation well, including the propagation of the Madden–Julian Oscillation, activities of tropical cyclones, and the characterization of extreme precipitation. These datasets contribute to the benchmark of current model behaviors for the desired continuity of CMIP. 相似文献
69.
本文分析了2018年春末我国南方地区持续性极端高温过程及其影响系统。本次事件自5月15日首先在江淮等地迅速发展,17日之后扩展至华南并在该地区维持至6月初。江南南部和华南东部等地高温日数比常年同期偏多6～10 d,累计近两千站次出现了35℃以上的高温天气,约是之前最多年（1991年）的2.6倍。研究区域内有超过三分之一的测站高温日数突破5月历史极值。统计分析结果显示,春末南方高温日数与该地区上空位势高度、其西侧经向风及其上空对流活动均有显著关系,但对流的影响更为超前,约在一周左右。除和华南地区对流呈显著正相关外,春末南方高温还和热带印度洋OLR（Outgoing Longwave Radiation）呈显著的负相关,这种相关模态和MJO（Madden-Julian Oscillation）的第一、二位相对应的对流异常分布一致。对2018年的个例分析支持这一统计结果。2018年5月,MJO有20 d持续位于这两个位相,且振幅均超过1,是有MJO监测以来5月这两个位相最多的一年。因此,无论是统计分析还是个例都表明MJO对本次春末南方高温有重要影响。 相似文献
70.
This study investigates the influence of the Madden Julian oscillations (MJO) and equatorial Rossby (ER) waves on tropical cyclone (TC) formation in western Pacific during June 2004 through one control and three wave experiments for each of the five TCs. The control experiment reasonably simulates the formation of five TCs. In the corresponding wave experiments, the MJO, ER waves, and both the MJO and ER waves are removed, from the initial fields and lateral boundary conditions, respectively. The differences of simulated TC intensity between the control and corresponding wave experiments provide a quantitative assessment of the relative contribution of each wave to TC formation.In the wave experiments with the MJO removed, three of the five TCs are weakened, and the remaining two (TC A and B) grow stronger due to an altered background flow that steered the TCs into more favorable oceanic regions. For the wave experiments with ER waves removed, three of the five simulated TCs become weaker (TC A, C, and E). TC D develops into a tropical storm because of a dominant influence from active synoptic-scale disturbance. The results indicate that both the MJO and ER waves have an important modulating effect on TC formation. In addition to the influence from the MJO, ER and synoptic-scale waves, local processes may dominate in TC formation; for the example of TC B, none of the waves positively influence the formation in significant ways. The present modeling approach provides a quantitative assessment of the relative contribution of tropical wave disturbances to TC formation. 相似文献