共查询到20条相似文献，搜索用时 703 毫秒
1.
The boreal summer intraseasonal oscillation simulated by four Chinese AGCMs participating in the CMIP5 project 总被引：1，自引：0，他引：1
The performances of four Chinese AGCMs participating in the Coupled Model Intercomparison Project Phase 5 （CMIP5） in the simulation of the boreal summer intraseasonal oscillation （BSISO） are assessed. The authors focus on the major characteristics of BSISO： the intensity, significant period, and propagation. The results show that the four AGCMs can reproduce boreal summer intraseasonal signals of precipitation; however their limitations are also evident. Compared with the Climate Prediction Center Merged Analysis of Precipitation （CMAP） data, the models underestimate the strength of the intraseasonal oscillation （ISO） over the eastern equatorial Indian Ocean （IO） during the boreal summer （May to October）, but overestimate the intraseasonal variability over the western Pacific （WP）. In the model results, the westward propagation dominates, whereas the eastward propagation dominates in the CMAP data. The northward propagation in these models is tilted southwest-northeast, which is also different from the CMAP result. Thus, there is not a northeast-southwest tilted rain belt revolution off the equator during the BSISO＇s eastward journey in the models. The biases of the BSISO are consistent with the summer mean state, especially the vertical shear. Analysis also shows that there is a positive feedback between the intraseasonal precipitation and the summer mean precipitation. The positive feedback processes may amplify the models＇ biases in the BSISO simulation. 相似文献
2.
Joseph Susmitha Sahai A. K. Shabu Hindhiya Chattopadhyay R. Kaur Manpreet 《Theoretical and Applied Climatology》2022,147(1-2):251-264
Theoretical and Applied Climatology - Monsoon intraseasonal oscillations (MISOs) define a significant proportion of intraseasonal variability of the Indian summer monsoon. In the backdrop of... 相似文献
3.
Intraseasonal variability (ISV) of latent-heat flux in the South China Sea (SCS) is examined using 9 years of weekly data from January 1998 to December 2006. Using harmonic and composite analysis, some fundamental features of the latent-heat flux ISVs are revealed. Intraseasonal latent-heat flux has two spectral peaks around 28–35 and 49–56 days, comparable with the timescales of the atmospheric ISV in the region. Active monsoon is clearly correlated with positive and negative phases of the ISV of latent-heat flux in the SCS. The characteristics of the intraseasonal latent-heat flux variations in summer are remarkably different from those in winter. The amplitudes of significant intraseasonal oscillations are about 35 and 80 W?m?2 during summer and winter monsoons, respectively. In summer, the intraseasonal latent-heat flux perturbations are characterized by slow eastward (about 1° latitude/day) and slower northward (about 0.75° longitude/day) propagations, probably in a response to eastward and northward propagating Madden-Julian oscillations (MJOs) from the equatorial Indian Ocean. In contrast, the perturbations appear to remain in the northern SCS region like a quasi-stationary wave in winter. In summer, the intraseasonal latent-heat flux fluctuations are highly correlated with wind speed. In winter, however, they are primarily associated with winds and near-surface air humidity. In addition, the intraseasonal SST variation is estimated to significantly reduce the amplitude of the intraseasonal latent-heat flux by 20% during winter. 相似文献
4.
In this paper, the evolution of intraseasonal oscillation over the South China Sea and tropical western Pacific area and its effect to the summer rainfall in the southern China are studied based on the ECMWF data and TBB data) analyses. A very low-frequency waves exist in the tropics and play an important role in dominating intraseasonal oscillation and lead to special seasonal variation of intraseasonal oscillation over the South China Sea / tropical western Pacific area. The intraseasonal oscillation (convection) over the South China Sea and tropical western Pacific area is closely related to the summer rainfall (convection) in the southern China. Their relationship seems to be a seesaw feature, and this relationship resulting from the different pattern of convection in those two re-gions is caused by the different type of local meridional circulation 相似文献
5.
气候平均状况下亚洲夏季风的季节内演变过程 总被引：5，自引：0，他引：5
根据1979—1995年美国NOAA的向外长波辐射逐日资料,用功率谱分析和带通滤波方法,对气候平均状况下亚洲夏季风的季节内演变过程进行分析,归纳得到亚洲季风区各个子系统季节内变化的8个关键阶段。利用1979—1999年NCEP/NCAR的大气环流再分析资料及中国气象局降水资料CMAP,对每个关键阶段亚洲夏季风的环流和降水的时空演变特征进行分析,得到亚洲季风区环流和降水季节内变化的物理图像。研究表明,在不同的季节内演变阶段,亚洲夏季风各个子系统成员的环流系统的变化特征可以将亚洲夏季风系统的季节内演变过程较好地描述出来。 相似文献
6.
ＥｖｏｌｕｔｉｏｎｏｆＩｎｔｒａｓｅａｓｏｎａｌＯｓｃｉｌａｔｉｏｎｏｖｅｒｔｈｅＴｒｏｐｉｃａｌＷｅｓｔｅｒｎＰａｃｉｆｉｃ／ＳｏｕｔｈＣｈｉｎａＳｅａａｎｄＩｔｓＥｆｅｃｔｔｏｔｈｅＳｕｍｍｅｒＰｒｅｃｉｐｉｔａｔｉｏｎｉｎＳｏｕｔｈｅｒｎＣｈｉ... 相似文献
7.
Visibility is one of the parameters for indicating air pollution.In this study,visibility variation in Hong Kong during summer and winter is investigated.Visibility in Hong Kong has clear intraseasonal variation.Examination of different environmental parameters suggests that the intraseasonal component dominates the overall circulation anomalies in both summer and winter.Associated with the intraseasonal variation of environmental parameters,obvious variation in visibility impairment is found in both summer and winter.In summer,local visibility and air quality are found to be significantly affected by the(MJO)and the 10–30-day intraseasonal oscillation(ISO)through modulation of associated atmospheric circulations.In winter,the modulation effects appear to be weaker due to the southward shift of the associated convection.The results in this study highlight the importance of the ISO in contributing to the overall variation in visibility in Hong Kong,and provide useful implications for the development of possible mitigation strategies associated with visibility impairment and air pollution in Hong Kong. 相似文献
8.
基于1979~2013年多种再分析资料,合成分析了El Ni?o发展年和La Ni?a年东亚夏季风的季节内变化。结果表明,东亚夏季风在两种情况下呈现出不同的季节内变化特征。在El Ni?o发展年,初夏期间高纬度地区出现偏北风异常,造成东亚地区位势高度场偏低,西太平洋副热带高压偏东,但均不显著。盛夏期间,El Ni?o强迫造成中太平洋对流增强,副热带西太平洋出现气旋异常,位势高度显著降低,副热带高压明显偏东。与此不同的是,La Ni?a年春季暖池海温偏高,造成夏季对流偏强,西太平洋地区位势高度场偏低,副热带高压减弱东退。此外,La Ni?a年东亚夏季风的季节内变化较为复杂,6月异常较弱,7月达到最强,8月又开始减弱。因此,虽然El Ni?o发展年和La Ni?a年夏季平均副高异常有一定的相似性,但季节内变化则有很大差异,其成因也完全不同。 相似文献
9.
Climate Dynamics - Characteristics of boreal summer intraseasonal oscillation (BSISO) over the western Pacific in ENSO decaying summer are revealed in this study. BSISO activity over the western... 相似文献
10.
利用1979—2018年夏季逐日观测和再分析数据，对北半球夏季热带季节内振荡影响我国夏季降水的规律和预测方法开展了研究。首先，利用非传统滤波即异常相对倾向（Anomalous Relative Tendency，ART）方法获取了气象要素的次季节变化分量，并采用EOF分析方法提取了北半球夏季热带主要季节内振荡信号，结果表明向外长波辐射（Outgoing Longwave Radiation，OLR）异常相对倾向EOF前两个模态共同反映了北半球夏季起源于印度洋并向东和向北传播的、具有30~60 d周期的季节内振荡（Boreal Summer Intraseasonal Oscillation，BSISO）信号。回归分析表明，该季节内振荡信号能够导致当地及其北面地区低层风场和位势高度场异常，影响该地区及其北面地区的水汽辐合辐散，从而能引起我国尤其是我国南方地区季节内旱涝变化，并一定程度上反映了我国异常雨带的向北推进过程。而后，将提取的热带主要季节内振荡信号作为预测因子，将降水异常相对倾向作为先行预板对象，利用多元线性回归方法构建了我国夏季旬降水异常相对倾向的预报模型，将预报的旬降水异常相对倾向加上观测已知的降水近期背景距平，从而得到旬降水距平的预报结果。通过历史回报和交叉检验，评估了该模型对梅雨期我国江淮流域降水（包括2020年梅汛期异常降水）的次季节预测能力。 相似文献
11.
利用1951—2004年我国740站逐日降水资料对夏季长江中下游典型旱涝年季节内振荡周期、强度和位相等特征进行合成对比分析发现:长江中下游涝年降水季节内振荡周期较旱年长, 涝年以30~60 d周期为主, 而旱年以10~30 d周期为主。旱涝年长江中下游地区夏季降水的10~30 d振荡整体上均强于30~60 d振荡; 10~30 d及30~60 d振荡, 涝年的强度都大于旱年。季节内振荡在旱年的北传较涝年强, 能达到50°N附近; 而涝年不仅有明显的季节内振荡从低纬度地区向北传播, 同时还有弱的振荡从中高纬度地区向南传播, 两者汇合于长江流域形成强的振荡中心。影响我国低频降水的低频异常环流分布模态在旱涝年是一致的, 但涝年的低频环流强于旱年, 而这种低频环流场的差异正是造成涝年的低频降水强于旱年的原因之一。 相似文献
12.
Understanding Madden-Julian-Induced sea surface temperature variations in the North Western Australian Basin 总被引：1，自引：1，他引：0
J. Vialard K. Drushka H. Bellenger M. Lengaigne S. Pous J. P. Duvel 《Climate Dynamics》2013,41(11-12):3203-3218
The strongest large-scale intraseasonal (30–110 day) sea surface temperature (SST) variations in austral summer in the tropics are found in the eastern Indian Ocean between Australia and Indonesia (North-Western Australian Basin, or NWAB). TMI and Argo observations indicate that the temperature signal (std. ~0.4 °C) is most prominent within the top 20 m. This temperature signal appears as a standing oscillation with a 40–50 day timescale within the NWAB, associated with ~40 Wm?2 net heat fluxes (primarily shortwave and latent) and ~0.02 Nm?2 wind stress perturbations. This signal is largely related to the Madden-Julian Oscillation. A slab ocean model with climatological observed mixed-layer depth and an ocean general circulation model both accurately reproduce the observed intraseasonal SST oscillations in the NWAB. Both indicate that most of the intraseasonal SST variations in the NWAB in austral winter are related to surface heat flux forcing, and that intraseasonal SST variations are largest in austral summer because the mixed-layer is shallow (~20 m) and thus more responsive during that season. The general circulation model indicates that entrainment cooling plays little role in intraseasonal SST variations. The larger intraseasonal SST variations in the NWAB as compared to the widely-studied thermocline-ridge of the Indian Ocean region is explained by the larger convective and air-sea heat flux perturbations in the NWAB. 相似文献
13.
Climate Dynamics - Column-integrated moist static energy (MSE) budgets associated with the northward-propagating boreal summer intraseasonal oscillation (BSISO) are diagnosed for the Bay of Bangel... 相似文献
14.
本文系统地回顾了作者近年来关于南海-热带西北太平洋地区大气和海洋季节内尺度变化关系方面的主要研究成果。文中对10~20天和30~60天两种季节内振荡海气变化关系的不同以及冬、夏季间的差异进行了系统地比较。相比较而言,大气中10~20天振荡所占比例大于30~60天振荡,海表温度30~60天的振荡在南海和西北太平洋副热带地区比10~20天振荡的贡献大,而在低纬度西太平洋地区10~20天振荡与30~60天振荡贡献相近或稍大。在北半球夏季,10~20天低频振荡的分布呈西南—东北走向,由赤道西太平洋地区向西北偏西方向传播,而30~60天低频振荡则以东西向分布为主,表现为由南向北的传播特征。在北半球冬季,10~20天和30~60天两种低频振荡的水平结构类似,均表现为西南—东北走向;同时,南海地区季节内变化信号表现出明显的向南传播的独特特征,并与东亚冬季风的季节内变化密切相关。北半球夏季,南海—菲律宾海地区10~20天低频振荡强度在厄尔尼诺发展年得到加强,而30~60天低频振荡强度则在拉尼娜衰减年得以加强。分析还指出,热带西北太平洋地区夏季热带辐合带附近的季节内变化,尤其是10~20天尺度变化,对季节平均海表温度异常有显著的反馈作用。 相似文献
15.
Satellite observations reveal a much stronger intraseasonal sea surface temperature (SST) variability in the southern Indian Ocean along 5-10oS in boreal winter than in boreal summer. The cause of this seasonal dependence is studied using a 2?-layer ocean model forced by ERA-40 reanalysis products during 1987-2001. The simulated winter-summer asymmetry of the SST variability is consistent with the observed. A mixed-layer heat budget is analyzed. Mean surface westerlies along the ITCZ (5-10oS) in December-January-February (DJF) leads to an increased (decreased) evaporation in the westerly (easterly) phase of the intraseasonal oscillation (ISO), during which convection is also enhanced (suppressed). Thus the anomalous shortwave radiation, latent heat flux and entrainment effects are all in phase and produce strong SST signals. During June-July-August (JJA), mean easterlies prevail south of the equator. Anomalies of the shortwave radiation tend to be out of phase to those of the latent heat flux and ocean entrainment. This mutual cancellation leads to a weak SST response in boreal summer. The resultant SST tendency is further diminished by a deeper mixed layer in JJA compared to that in DJF. The strong intraseasonal SST response in boreal winter may exert a delayed feedback to the subsequent opposite phase of ISO, implying a two-way air-sea interaction scenario on the intraseasonal timescale.
Citation: Li, T., F. Tam, X. Fu, et al., 2008: Causes of the intraseasonal SST variability in the tropical Indian ocean, Atmos. Oceanic Sci. Lett., 1, 18-23 相似文献
16.
Intraseasonal variability in subtropical South America as depicted by precipitation data 总被引：1，自引：1，他引：0
Daily precipitation data from three stations in subtropical Argentina are used to describe intraseasonal variability (20–90 days) during the austral summer. This variability is compared locally and regionally with that present in outgoing longwave radiation (OLR) data, in order to evaluate the performance of this variable as a proxy for convection in the region. The influence of the intraseasonal activity of the South American Seesaw (SASS) leading convection pattern on precipitation is also explored. Results show that intraseasonal variability explains a significant portion of summer precipitation variance, with a clear maximum in the vicinity of the SASS subtropical center. Correlation analysis reveals that OLR can explain only a small portion of daily precipitation variability, implying that it does not constitute a proper proxy for precipitation on daily timescales. On intraseasonal timescales, though, OLR is able to reproduce the main features of precipitation variability. The dynamical conditions that promote the development of intraseasonal variability in the region are further analyzed for selected summers. Seasons associated with a strong intraseasonal signal in precipitation variability show distinctive wet/dry intraseasonal periods in daily raw data, and are associated with a well defined SASS-like spatial pattern of convection. During these summers, strong large-scale forcing (such as warm El Niño/Southern Oscillation (ENSO) events and/or tropical intraseasonal convective activity), and Rossby-wave-like circulation anomalies extending across the Pacific Ocean, are also observed. 相似文献
17.
Climate Dynamics - Onset and demise of the Indian summer monsoon (ISM) and intraseasonal variability (ISV) embedded within the ISM are dominant climatological phenomena observed over the Indian... 相似文献
18.
Multi-scale climate variability of the South China Sea monsoon: A review 总被引：10，自引：0，他引：10
Bin Wang Fei Huang Zhiwei Wu Jing Yang Xiouhua Fu Kazuyoshi Kikuchi 《Dynamics of Atmospheres and Oceans》2009,47(1-3):15-37
This review recapitulates climate variations of the South China Sea (SCS) monsoon and our current understanding of the important physical processes responsible for the SCS summer monsoon's intraseasonal to interannual variations. We demonstrate that the 850 hPa meridional shear vorticity index (SCSMI) can conveniently measure and monitor SCS monsoon variations on a timescale ranging from intraseasonal to interdecadal. Analyses with this multi-scale index reveal that the two principal modes of intraseasonal variation, the quasi-biweekly and 30–60-day modes, have different source regions and lifecycles, and both may be potentially predicted at a lead time longer than one-half of their corresponding lifecycles. The leading mode of interannual variation is seasonally dependent: the seasonal precipitation anomaly suddenly reverses the sign from summer to fall, and the reversed anomaly then persists through the next summer. Since the late 1970s, the relationship between the SCS summer monsoon and El Niño-Southern Oscillation (ENSO) has significantly strengthened. Before the late 1970s, the SCS summer monsoon was primarily influenced by ENSO development, while after the late 1970s, it has been affected mainly in the decaying phase of ENSO. The year of 1993 marked a sudden interdecadal change in precipitation and circulation in the SCS and its surrounding region. Over the past 60 years, the SCS summer monsoon's strength shows no significant trend, but the SCS winter monsoon displays a significant strengthening tendency (mainly in its easterly component and its total wind speed). A number of outstanding issues are raised for future studies. 相似文献
19.
Dutta Ushnanshu Chaudhari Hemantkumar S. Hazra Anupam Pokhrel Samir Saha Subodh Kumar Veeranjaneyulu Chinta 《Climate Dynamics》2020,55(9-10):2377-2403
Climate Dynamics - The study explores the role of ice-phase microphysics and convection for the better simulation of Indian summer monsoon rainfall (ISMR) and monsoon intraseasonal oscillation... 相似文献