重新认识波状低云(二)波状低云区的位势不稳定功能

由于在各种温度层结下,（rd—r）≥0,故只有时,才会有,即上干故只有时,才会有,即上干下湿,形成位势不稳定。边界层内形成波状低云时,反映低空大气构造的特征是：①低空存在一个稳定层;②稳定层下水汽聚结,达到饱和状态;③稳定层上,由于水汽不能上传而十分干燥。此时恰好出现况／Af＜0局面,因而波状低云区正是一个位势不稳定区。用波状低云去反映大气的位势不稳定状态比用通常的犯／gZ计算值有更多的优点：·由地面观测记录分析出的波状低云区是站距几十公里的观测网构成的,远比200～300km的探空站稠密,能较好反映位势不稳定场…     

波状低云对大尺度天气系统的反馈作用

在一定的大尺度环流提供的低空水汽条件下,波状低云得以发展形成。当波状低云形成后,它又将反馈于天气系统,在一定程度上诱使上升运动区、正涡度区和长波槽区向波状低云区上空发展。这一新事实将为短、中、长期降水预报提供新的依据。     

中国夏季主雨带的形成过程

我国夏季主雨带的形成,是从上一年夏季开始的,共经历3个阶段①上一年5～9月副热带西风急流的孕育期;②10～3月西风急流发展期;③西风急流为西太平洋副热带高压替代期(本年5～9月)--主雨带形成.在3个阶段中,北半球大气加热场上制约西风急流变化的最活跃的因子,是高、中纬地区由波状低云和冰雪盖交替进行的冷却大气过程.     

广州白云机场一次低云低能见度天气过程的成因

利用常规资料分析2006年3月6日发生在广州白云机场的一次低云低能见度(vis)天气过程,发现天气的形成和发展与降水活动以及相关联的大气稳定度、逆温层等因素有密切关系。对流层中低层的大气不稳定造成降水,为下层的低云和低vis的形成和维持提供了充足的水汽来源,而近地面层湍流和逆温推动了低云和低vis的形成和发展。通过分析静止卫星TBB资料以及地面自动站资料,得到监测天气变化的方法。     

云层分布对辐射增效和冷却的影响

本文计算了冬、夏两季在平原和高原地区分别有低云、高云和当高、低云同时出现时的短波辐射增热率,长波辐射冷却率以及高低云之间的相互影响。结果发现:1)高原上云的短波增热率和长波冷却率要比平原上的大,低云的增热和冷却较平原尤甚。2)高云存在时,地面附近由冷却变为增热。3)高原地区出现双层云时总是使地面附近增热。4)当两层云同时出现时,高云的短波增热率和长波冷却率都有所增大,低云的短波增热率减小,低云的长波冷却率则减小很多。5)低云量的变化对高云的冷却影响较小,而高云量变化对低云的冷却影响甚大。6)云的短波辐射增热受地面反照率的影响不很大,但对太阳高度角的变化甚为敏感。 由以上结果看来,在大气环流和气候模式中必须要很好地考虑高云云量的变化,否则难以得到好的结果。在区域气候模式中不可忽略高原地区和平原地区云的辐射增热和冷却作用的差别。     

模式大气中的年代际变化

用１９４５～１９９３年ＣＯＡＤＳ ＳＳＴ强迫ＡＧＣＭ进行了连续４９年的模拟积分,分析了模式大气中的年代际变化,并和ＮＣＥＰ再分析资料进行了比较。结果表明,模式大气中,无论是热带太平洋风场,还是中、高纬大气环流均存在显著的年代际变化;ＡＧＣＭ基本上能较好地模拟热带太平洋和中、中纬大气环流年代际信号的是分布和时间变化趋势;从时间变化上盾,热带太平洋风场的模拟结果要好于中、高纬大气,说明ＳＳＴ仍然是膨响     

南极臭氧洞对全球大气辐射加热场影响的数值模拟研究

为了探讨南极臭氧洞对全球气候的影响状况,我们用IAP_9层全球大气环流模式进行了南极臭氧洞气候效应的数值试验。本文分析了本次试验中南极臭氧洞引起的大气辐射加热场的变化,结果表明,南半球高纬和极地平流层臭氧含量的严重减少,不仅影响该地的大气辐射加热场,同时也使北半球平流层大气的辐射加热场发生改变。虽然对流层中层所受影响较少,但对流层下层南北半球的大气总辐射加热率的变化却相当明显,这些影响将使全球大气温度场产生明显变化。     

五个全球大气海洋环流模式模拟二氧化碳增加对气候变化的影响

本文总结五个应用较广的全球大气与海洋环流模式(GFDL,GISS,NCAR,OSU与UKMO),模拟由于人类活动造成大气中二氧化碳浓度增加对气候变化的影响模拟表明,由于大气中二氧化碳浓度增加,将导致全球地面气温增暖大约4℃,其中高纬与极区冬季增暖更明显。高纬与极区海冰和积雪融化增加。全球降水率与土壤湿度在部分地区明显增加,部分地区明显减少,引人注意的是中纬度地区土壤湿度可能变干燥。 本文还给出发达国家与发展中国家在能源战略的各种考虑下各自相应对大气中二氧化碳浓度的影响,以及展望未来由于人类活动的结果,将对全球大气与海洋温度的变暖和土壤湿度变化的影响。     

混合云在GCM气候模拟中的重要性

文章提出了一种简单且适用于大气环流模式（GCM）的冰云辐射参数化。利用该参数化和UGAMP大气环流模式研究了混合云在GCM气候模拟中的重要性。结果表明，云的相态变化及其所产生的反馈作用对模拟的气候状态有显著的影响。在高纬地区，云的相态变化可使地气系统净辐射增加。而在热带则使净辐射减少。     

海口美兰机场低云低能见度特征分析

利用海口美兰机场1999年-2010低云低能见度观测资料,依据对飞行的影响程度对低云、能见度进行分型.研究各型低云低能见度的季节变化特征.指出:春季的低云、低能见度主要出现在早晨,00-02U1℃时频率较高,白天减少且变化较为平稳;夏季的低云、低能见度相对春季明显减少,且变化不稳定;秋季的低云、低能见度频率较夏季略有偏...     

Boreal summer intraseasonal variability simulated in the NCEP climate forecast system: insights from moist static energy budget and sensitivity to convective moistening

The NCEP Climate Forecast System (CFS) with the relaxed Arakawa Schubert (RAS, hereafter referred to as CTRL) convection scheme of Moorthi and Suarez exhibits better performance in representing boreal summer tropical intraseasonal variability as compared with a simulation using simplified Arakawa–Schubert scheme. The intraseasonal moist static energy (MSE) budget is analyzed in this version of the CFS model (CTRL), which produces realistic eastward and northward propagation characteristics. The moist and thermodynamic processes involved in the maintenance and propagation of the poleward moving intraseasonal oscillation (ISO) disturbances are examined here. Budget diagnostics show that horizontal MSE advection is the principal component of the budget, contributing to the poleward movement of the convection. The injection of MSE moistens the atmosphere north of the convective area causing the poleward movement of convection by destabilization of the atmosphere. The moistening process is mainly contributed by the climatological wind acting on the anomalous moisture gradient as confirmed from the examination of moisture advection equation. While surface enthalpy fluxes (consisting of radiative and surface turbulent heat fluxes) maintain the ISO anomalies, they oppose the MSE tendency due to horizontal advection thus regulating the poleward propagation characteristics. In addition, the model results show that wind–evaporation feedback dominates over cloud–radiation feedback for ISO propagation; this is in contrast to our estimates using the newly available European Centre for Medium Range Weather Forecasts Interim reanalysis. Sensitivity experiments suggest that intraseasonal variability in the CFS model with the RAS scheme is highly sensitive to the parameterization of both the shallow convection and the convective rain evaporation and downdrafts. Removal of these components adversely affects the propagation characteristics and greatly reduces the amplitude of intraseasonal variability. Our results support the primary importance of the moisture preconditioning ahead of the ISO and the physical relationship between moisture and precipitation. For realistic ISO simulations, models need to represent these features appropriately.     

青藏高原雪盖的季节内变化及其影响

回顾了青藏高原雪盖的季节内变化及其影响研究的新进展。高原大部分地区雪盖不稳定且持续时间短,导致高原雪盖具有显著的季节内快速变化特征。局地气温和降水的季节内变化是控制高原雪盖季节内变化的直接原因,这种直接关系是区域大气环流季节内活动的结果。高原雪盖季节内变化还与大尺度大气环流的季节内活动有关,热带季节内振荡、北极涛动和北大西洋涛动引起的大气季节内过程可解释部分高原雪盖季节内变率。高原雪盖季节内变化通过雪-反照率效应迅速对大气施加影响,雪盖造成的冷异常通过大气平流过程影响高原及其下游地区,造成东亚高空急流和东亚大槽增强。由于高原雪盖季节内变化的重要影响,数值预报中高原雪盖的初始场和预报场会影响次季节预报技巧。     

The boreal summer intraseasonal oscillation simulated by four Chinese AGCMs participating in the CMIP5 project

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.     

Future changes in daily summer temperature variability: driving processes and role for temperature extremes

Anthropogenic greenhouse gas emissions are expected to lead to more frequent and intense summer temperature extremes, not only due to the mean warming itself, but also due to changes in temperature variability. To test this hypothesis, we analyse daily output of ten PRUDENCE regional climate model scenarios over Europe for the 2071–2100 period. The models project more frequent temperature extremes particularly over the Mediterranean and the transitional climate zone (TCZ, between the Mediterranean to the south and the Baltic Sea to the north). The projected warming of the uppermost percentiles of daily summer temperatures is found to be largest over France (in the region of maximum variability increase) rather than the Mediterranean (where the mean warming is largest). The underlying changes in temperature variability may arise from changes in (1) interannual temperature variability, (2) intraseasonal variability, and (3) the seasonal cycle. We present a methodology to decompose the total daily variability into these three components. Over France and depending upon the model, the total daily summer temperature variability is projected to significantly increase by 20–40% as a result of increases in all three components: interannual variability (30–95%), seasonal variability (35–105%), and intraseasonal variability (10–30%). Variability changes in northern and southern Europe are substantially smaller. Over France and parts of the TCZ, the models simulate a progressive warming within the summer season (corresponding to an increase in seasonal variability), with the projected temperature change in August exceeding that in June by 2–3 K. Thus, the most distinct warming is superimposed upon the maximum of the current seasonal cycle, leading to a higher intensity of extremes and an extension of the summer period (enabling extreme temperatures and heat waves even in September). The processes driving the variability changes are different for the three components but generally relate to enhanced land–atmosphere coupling and/or increased variability of surface net radiation, accompanied by a strong reduction of cloudiness, atmospheric circulation changes and a progressive depletion of soil moisture within the summer season. The relative contribution of these processes differs substantially between models.     

FURTHER STUDIES ON EVAPORATION-WIND FEEDBACK

The results from simple dynamic studies on the evaporation-wind feedback show that the effect cannot change the nature of tropical atmospheric waves (by retarding the speed), so that the evaporation-wind feedback alone cannot be an exciting mechanism of intraseasonal oscillation in the tropical atmosphere. This is different from that of the wave-CISK mechanism. With combined effect of the cumulus convection heating and evaporation-wind feedback, the CISK-Kelvin waves and CISK-Rossby waves will develop unstably, explaining the dynamic mechanism of tropical intraseasonal oscillation in a more complete and reasonable way than the convection heating alone. Therefore, the evaporation-wind feedback is also important to the intraseasonal oscillation in the tropical atmosphere.     

Causes of the Intraseasonal SST Variability in the Tropical Indian Ocean

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     

Intraseasonal variability in subtropical South America as depicted by precipitation data

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.     

南海—热带西北太平洋地区季节内尺度海气变化关系

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。     

Variability of seasonal-mean fields arising from intraseasonal variability. Part 3: Application to SH winter and summer circulations

A study has been made, using the National Centers for Environmental Prediction and National Center for Atmospheric Research re-analysis 500 hPa geopotential height data, to determine how intraseasonal variability influences, or can generate, coherent patterns of interannual variability in the extratropical summer and winter Southern Hemisphere atmospheric circulation. In addition, by separating this intraseasonal component of interannual variability, we also consider how slowly varying external forcings and slowly varying (interannual and longer) internal dynamics might influence the interannual variability of the Southern Hemisphere circulation. This slow component of interannual variation is more likely to be potentially predictable. How sea surface temperatures are related to the slow components is also considered. The four dominant intraseasonal modes of interannual variability have horizontal structures similar to those seen in both well-known intraseasonal dynamical modes and statistical modes of intraseasonal variability. In particular, they reflect intraseasonal variability in the high latitudes associated with the Southern Annular Mode, and wavenumber 4 (summer) and wavenumber 3 (winter) patterns associated with south Pacific regions of persistent anomalies and blocking, and possibly variability related to the Madden-Julian Oscillation (MJO). The four dominant slow components of interannual variability, in both seasons, are related to high latitude variability associated with the Southern Annular Mode, El Nino Southern Oscillation (ENSO) variability, and South Pacific Wave variability associated with Indian Ocean SSTs. In both seasons, there are strong linear trends in the first slow mode of high latitude variability and these are shown to be related to similar trends in the Indian Ocean. Once these are taken into account there is no significant sea surface temperature forcing of these high latitude modes. The second and third ENSO related slow modes, in each season, have high correlations with tropical sea surface temperature variability in the Pacific and Indian Oceans, both contemporaneously and at one season lag. The fourth slow mode has a characteristic South Pacific wave structure of either a wavenumber 4 (summer) or wavenumber 3 (winter) pattern, with strongest loadings in the South Pacific sector, and an association simultaneously with a dipole SST temperature gradient in the subtropical Indian Ocean.     

Influence of sea surface temperature on the intraseasonal variability of the South China Sea summer monsoon

The objective of this study is to examine, based on recently available high resolution satellite and observational data, the evolution and role of sea surface temperature (SST) in influencing the intraseasonal variability of the South China Sea (SCS) summer monsoon (SM). The study focuses on the 30–60?day timescale when the northward propagating anomalies are dominant over the SCS. Composite analysis of the SST maximum events during SCS SM shows that increased SST anomalies over the SCS are significantly influenced by the downward shortwave radiation flux anomalies, with the suppressed surface latent heat flux anomalies supplementing to it. A thermal damping of the positive SST anomalies induces positive upward heat fluxes, which then destabilize the lower atmosphere between 1,000 and 700?hPa. The positive SST anomalies lead the positive precipitation anomalies over the SCS by 10?days, with a significant correlation (r?=?0.44) between the SST-precipitation anomalies. The new findings here indicate an ocean-to-atmosphere effect over the SCS, where underlying SST anomalies tend to form a favorable condition for convective activity and sustain enhanced precipitation during the SCS SM. It is also argued, based on our observations, that the negative sea level pressure anomalies induced by the positive SST anomalies play a role in enhancing the northward propagation of the intraseasonal anomalies over the SCS.