热带大气季节内振荡的一个数值模拟研究

文中分析了中国科学院大气物理研究所全球气候谱模式ALGCM (R4 2L9) 12a(1978～ 1989年 )积分的逐日输出结果 ,并与 1978～ 1989年的逐日NCEP资料对照 ,以此对热带季节内振荡 (30～ 6 0d振荡 )进行数值模拟研究。分析表明 ,该模式在热带地区可以模拟出明显的季节内振荡 (ISO)的准周期信号 ,并抓住了热带ISO的基本传播特征 ,能较好地再现东、西半球传播速度的差异 ,同时模式模拟存在东传要好于西传 ,冬、春季的模拟要好于夏、秋季的现象。该模式模拟的热带ISO的强度较许多大气模式明显提高 ,尤其是对 2 0 0hPa上ISO动能强度的模拟。模式基本模拟出了ISO低层辐合、高层辐散的水平风场特征。模式较好地再现了热带ISO纬向风的垂直结构。此外 ,观测资料表明热带ISO在冬、春强 ,而夏、秋弱的季节性倾向与ISO的年际变化相联系 ,模拟的ISO在季节性倾向偏差上表现为冬、夏相对强 ,而春、秋相对弱。垂直速度、散度、水汽等物理量的配置同NCEP资料的结构特征仍有明显差异 ,模拟的ISO空间分布也不太理想 ,表明要很好模拟ISO结构和空间分布特征 ,还须做不少工作。     

SEASONAL VARIATIONS OF THE TROPICAL INTRASEASONAL OSCILLATION AND ITS REPRODUCTION IN SAMIL-R_(42)L_9

Seasonal variations of the tropical intraseasonal oscillation (ISO) and relationship to seasonal variation of the climate background are studied by using NCEP/NCAR reanalysis data and output of SAMIL-R42L9. Analysis of NCEP data shows that spatial distribution of the tropical ISO has obvious seasonal variations, which are well consistent with the seasonal variation of climate background. The activity of the tropical ISO is, to a great extent, dependent on warm SST, strong convection, zonal western wind, strong precipitation and low-level moisture convergence. Main characteristics of the seasonal variations of the tropical ISO are captured by SAMIL-R42L9. Simulations of seasonal variation of climate background vary greatly with different variables. Results of SAMIL-R42L9 indicate that the seasonal variations of the tropical ISO in dynamical fields are more dependent on climate background than in heating fields and SAMIL-R42L9 cannot represent well the strong dependence of the ISO on the climate background present in NCEP/NCAR reanalysis data. It also suggests that seasonal variations of the ISO do not completely depend on that of climate background.     

大气季节内振荡的数值模拟比较研究

用国内外两个较好的大气环流模式、在观测海表温度的强迫下进行了长时间(1978—1989年)的数值积分,然后对数值模拟结果与NCAR/NCEP再分析资料进行比较分析,其结果清楚表明,模式模拟结果的均方根误差中有30%—40%是来自于模拟的大气季节内振荡的均方根误差。尤其是,大气季节内振荡模拟的均方根误差的分布形势与总的均方根误差的分布形势几乎完全一致。对热带地区大气季节内振荡动能的模拟结果与NCAR/NCEP再分析资料的比较分析表明,其差异也十分明显,说明模式对热带大气季节内振荡的模拟能力也还比较差。因此可以认为,大气季节内振荡在天气气候模拟中极为重要,而如何在数值模式中模拟好大气季节内振荡还需要进行很好地研究。     

区域气候模式对贵州省特重凝冻年温湿特征的模拟分析

本文利用区域气候模式Reg CM4对贵州省2008年初（1月13日~2月14日）的凝冻过程的温湿特征进行了模拟,将模拟结果与NCEP/NCAR再分析资料的对比,发现模式对凝冻过程期间冷空气路径、逆温层和低层流场具有一定的模拟能力,特别是对逆温层垂直结构的模拟较为准确。结果表明,Reg CM模式对贵州区域平均气温的水平和垂直结构分布型都能得到与实况较为一致的模拟结果,水平分布上能刻画出平均气温＂北负南正＂分布,特别是对贵州西北部区域冷空气路径、中心强度、位置和范围都较为准确地模拟出来。垂直结构上能刻画出凝冻过程初期逆温层的形成、维持和消失及后期强冷空气渗透扩散的天气特征,特别是时间结点模拟较为准确。Reg CM模式对贵州区域低空流场的模拟结果与实况较为一致的刻画出了凝冻过程期间来自高纬地区的强冷空气主要从东北路径入侵贵州地区与热带洋面向北输送的暖湿空气在贵州西部汇合这一天气特征,但对贵州西部的南北向温度锋区模拟位置偏东偏北,与实况存在一定的差异,这与西南风模拟值偏大有关。     

热带大气季节内振荡的异常与1997年El Nio 事件的发生

利用美国NCEP资料分析热带大气季节内振荡（ISO）与ENSO的关系，揭示了1997年El Ni o事件的发生，与赤道中西太平洋地区大气 ISO在 1996年冬到 1997年春期间的异常增强有重要关系。而且该地区 ISO的异常增强并不主要由赤道印度洋地区移来，主要表现为ISO在印度尼西亚上空被激发增强和东传。印度尼西亚地区ISO的被激发，则是由于东亚冬季风强异常在该地区引起的强对流活动的结果。     

Numerical Simulation and Comparison Study of the Atmospheric Intraseasonal Oscillation

Daily mean outputs for 12 yr (1978-1989) from two general circulation models (SAMIL-R42L9 and CAM2.0.2) are analyzed and compared with the corresponding NCEP/NCAR reanalysis dataset, and results in two models show clearly that the root-mean square errors (RMSEs) from the simulation of intraseasonal oscillation can take 30-40 percent of the total RMSE, particularly, the distributions of the RMSE in simulating intraseasonal oscillation are almost identical with that of the total RMSE. The maximum RMSE of intraseasonal oscillation height at 500 hPa is shown in the middle latitude regions, but there are also large RMSEs of intraseasonal oscillation wind over the tropical western Pacific and tropical Indian Oceans. The simulated ISO energy in the tropic has very large difference from the result of the NCEP/NCAR reanalysis dataset which means the simulation of tropical atmospheric ISO still possesses serious insufficiency. Therefore, intraseasonal oscillation in the weather and climate numerical simulation is very important, and thus, how to improve the ability of the GCM to simulate the intraseasonal oscillation becomes very significant.     

谱模式SAMIL对南亚季风区大气季节内振荡向北传播的模拟

基于与NCEP资料结果的比较,研究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发展的大气环流模式SAMIL对夏季南亚季风区季节内振荡（ISO）向北传播特征的模拟,并结合目前对ISO北传机制的理解对模拟结果进行了分析讨论。SAMIL在夏季南亚地区模拟出相当强度的季节内振荡的活动,并且模拟的ISO也表现出与NCEP资料相似的从赤道向北传播的特征,但传播的速度要慢于NCEP资料的结果。模拟的北传ISO具有与NCEP资料相似的结构特征,涡度和水汽场明显的呈经向不对称,涡度和水汽的正异常位于ISO对流的北面,最大的上升运动和最强的行星边界层辐合也位于ISO对流的北面。ISO 结构的经向不对称性正是模式模拟的ISO具有向北传播特征的原因;而模式对夏季南亚季风区高低层风场和行星边界层水汽的合理模拟起了关键的作用。同时,根据关于ISO北传机理的已有研究,模式的结果也表明南亚地区夏季风场的垂直结构是那里ISO向北传播的重要机制。     

西北太平洋热带气旋强度与环境气流切变关系的气候分析

采用NCEP/NCAR再分析资料和JTwC(美国关岛联合台风警报中心)资料,对1974～2004年5～10月西北太平洋热带气旋(TC)强度和环境风垂直切变进行了趋势特征、振荡周期和空间结构分析.结果表明:西北太平洋热带风暴强度以上TC的最大风速和环境风垂直切变在时间上有相反的变化趋势,弱的环境风垂直切变有利于TC强度的增大;前12 h的环境风垂直切变对TC强度的发展影响最大.环境风垂直切变在两北太平洋TC最强的年份表现为环境风切变值小,TC发生密集;最弱的年份表现为环境风切变值大,TC发生稀疏.     

Forecast skill of the tropical intraseasonal oscillation in the NCEP GFS dynamical extended range forecasts

This study examines the forecast performance of tropical intraseasonal oscillation (ISO) in recent dynamical extended range forecast (DERF) experiments conducted with the National Centers for Environmental Prediction (NCEP) Global Forecasting System (GFS) model. The present study extends earlier work by comparing prediction skill of the northern winter ISO (Madden-Julian Oscillation) between the current and earlier experiments. Prediction skill for the northern summer ISO is also investigated. Since the boreal summer ISO exhibits northward propagation as well as eastward propagation along the equator, forecast skill for both components is computed. For the 5-year period from 1 January, 1998 through 31 December, 2002, 30-day forecasts were made once a day. Compared to the previous DERF experiment, the current model has shown some improvements in forecasting the ISO during winter season so that the skillful forecasts (anomaly correlation>0.6) for upper-level zonal wind anomaly extend from the previous shorter-than 5 days out to 7 days lead-time. A similar level of skill is seen for both northward and eastward propagation components during the summer season as in the winter case. Results also show that forecasts from extreme initial states are more skillful than those from null phases for both seasons, extending the skillful range by 3–6 days. For strong ISO convection phases, the GFS model performs better during the summer season than during the winter season. In summer forecasts, large-scale circulation and convection anomalies exhibit northward propagation during the peak phase. In contrast, the GFS model still has difficulties in sustaining ISO variability during the northern winter as in the previous DERF run. That is, the forecast does not maintain the observed eastward propagating signals associated with large-scale circulation; rather the forecast anomalies appear to be stationary at their initial location and decay with time. The NCEP Coupled Forecast System produces daily operational forecasts and its predication skill of the MJO will be reported in the future.     

RELATIONSHIP BETWEEN TROPICAL ISO AND TROPICAL CYCLONE ACTIVITY OVER THE SOUTH CHINA SEA

The relationship between the tropical intra-seasonal oscillation (ISO) and tropical cyclones (TCs) activities over the South China Sea (SCS) is investigated by utilizing the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) global reanalysis data and tropical cyclone best-track data from 1949 to 2009. The main conclusions are: (1) A new ISO index is designed to describe the tropical ISO activity over the SCS, which can simply express ISO for SCS. After examining the applicability of the index constructed by the Climate Prediction Center (CPC), we find that the convection spatial scale reflected by this index is too large to characterize the small-scale SCS and fails to divide the TCs activities over the SCS into active and inactive categories. Consequently, the CPC index can’t replace the function of the new ISO index; (2) The eastward spread process of tropical ISO is divided into eight phases using the new ISO index, the phase variation of which corresponds well with the TCs activities over the SCS. TCs generation and landing are significantly reduced during inactive period (phase 4-6) relative to that during active period (phase 7-3); (3) The composite analyses indicate distinct TCs activities over the SCS, which is consistent with the concomitant propagation of the ISO convective activity. During ISO active period, the weather situations are favorable for TCs development over the SCS, e.g., strong convection, cyclonic shear and weak subtropical high, and vice versa; (4) The condensation heating centers, strong convection and water vapor flux divergence are well collocated with each other during ISO active period. In addition, the vertical profile of condensation heat indicates strong ascending motion and middle-level heating over the SCS during active period, and vice versa. Thus, the eastward propagation of tropical ISO is capable to modulate TCs activities by affecting the heating configuration over the SCS.     

热带印度洋和太平洋ISO活动特征的异同

基于再分析资料,对比分析了热带印度洋和太平洋地区大气季节内振荡（ISO）活动特征的异同。结果表明:印度洋和西太平洋地区ISO活动中心在4月和10月存在季节性跳跃,并且ISO在西太平洋地区活动中心位置南北跳跃的经向距离较印度洋偏大。ISO较强的活动中心也是ISO强度年较差较大的地区,并且各个活动中心ISO强度达到最强的时间存在明显的差异。ISO活动存在显著的年际和年代际变化,在20世纪80年代ISO的活动强度和变化趋势都存在一个明显的转折。夏季印度洋和西太平洋地区ISO都存在较强的北传,赤道地区印度洋ISO强度较强,而赤道以外地区西太平洋ISO强度较强;并且ISO在西太平洋地区北传的速度较印度洋偏慢。无论是冬季还是夏季,当ISO活跃于印度洋和西太平洋时,ISO的空间分布和垂直结构特征都有着明显的差异。     

东亚副热带急流的空间结构及其与中国冬季气温的关系

本文利用1950～2012 年NCEP/NCAR 逐月再分析风场资料和中国542 个台站逐日观测资料研究东亚副热带急流(EAJ)的空间结构及其与中国冬季气温的关系。结果表明,东亚副热带急流在空间呈不规则管状结构,冬季急流体积最大,垂直厚度范围自500 hPa 至100 hPa;夏季急流体积最小,仅存在于200 hPa 附近。急流管在秋、冬、春季略呈西南—东北走向,在夏季呈西—东走向。不同高度上的最大风速轴线在南北方向的移动不尽一致,春、秋季低层风速轴比高层偏北。东亚急流管不同区域下方的垂直运动及其年变化存在差异。冬季东亚副热带急流强度与同期中国气温关系密切,特别是高原上空的急流越强时,中国大部分地区冬季气温偏低。     

台风“潭美”(2013)偏心不对称结构特征分析及数值模拟

利用NCEP再分析资料、FY-2E卫星资料和常规观测资料等,采用天气学分析、物理量诊断等方法,对1312号台风"潭美"空心结构特征及成因以及其造成的暴雨天气过程进行了初步分析。结果表明,台风"潭美"深对流云系一块位于台风中心北侧,一块位于南侧,且后期北侧减弱,几乎完全偏向台风的南侧,台风中心周围仅有浅薄稀疏的低云云线。"潭美"动力、热力结构均存在明显空心和不对称性特征,其与中高层气旋性环流偏离、高层辐散不对称、水汽输送不对称等有关;强降水分布与台风不对称性结构及地形等有关。WRF中尺度模式能较好地模拟出不对称性结构以及降水强度和分布。     

热带大气ISO在几种再分析资料中的对比分析

利用NCEP/NCAR, NCEP/DOE和ERA40 3套再分析资料的逐日200 hPa纬向风数据,选取1961—1990年、1971—2000年和1981—2010年3种不同气候态,对比分析了3种气候态下热带大气季节内振荡 (ISO) 的基本气候特征及其在不同再分析资料中的异同。研究表明:1981—2010年气候态下,热带大气ISO冬春强、夏秋弱的年循环特征更加明显,东传短波能量增强,起始北传时间偏晚。NCEP/NCAR与NCEP/DOE资料所表征的热带大气ISO在空间分布、强度和能量传播方面的一致性较好。NCEP/NCAR资料反映的热带大气ISO强度在热带印度洋和热带西太平洋地区较ERA40资料偏弱,在赤道东太平洋地区较ERA40资料偏强;ERA40资料反映的热带大气ISO强度在12月—次年3月中旬较NCEP/NCAR资料偏强,而在3月中旬—11月偏弱;ERA40资料反映的热带大气ISO振荡位相较NCEP/NCAR资料超前10 d左右;NCEP/NCAR资料反映的东传谱能量弱于ERA40资料,西传能量强于ERA40资料;7月中旬,NCEP/NCAR资料反映的东亚地区大气ISO经向北传较ERA40资料偏晚。     

“浪卡”不对称结构和异常暴雨落区分析

使用美国国家环境预报中心（NCEP／NCAR）的再分析资料、日本GSM产品、广东省遥测站资料、卫星云图以及MICAPS资料,通过合成分析方法,研究0904号热带风暴“浪卡”结构和异常暴雨落区原因。结果表明：（1）“浪卡”结构的强不对称性主要是由于流场分布不均匀这一动力因素造成,“浪卡”大风区分布在南侧和东侧地区．其北侧...     

2007 年南海夏季风季节内振荡的北传及影响因子

利用2007年全球降水气候计划GPCP(the Global Precipitation Climatology Project)卫星红外窗口导出的全球降水指数GPI(the Global Precipitation Index)的日降水资料及频率-波数分析方法,分析2007年南海夏季风季节内振荡(Intraseasonal Oscillation,ISO)的传播特征,并使用美国国家环境预报中心(NCEP)/美国大气研究中心(NCAR)再分析的逐日资料,探讨影响其传播的主要因子.结果表明,南海夏季风ISO有明显的北传趋势,并且明显比南传分量占优.影响南海夏季风ISO北传的主要因子是平均纬向风垂直切变和平均经向风对异常水汽的输送.之所以异常经向风对平均水汽的输送及海-气相可作用的影响在南海地区不重要,而在印度季风区有一定的贡献,是因为平均水汽和纬向风分布在两个地区的差异.     

热带低层大气30～60天低频动能的年际变化与ENSO循环

利用NCEP再分析资料,通过统计相关及合成分析研究了热带大气季节内振荡(ISO)的年际变化与ENSO循环之间的关系.结果表明,热带大气季节内振荡(也称30～60天低频振荡)的年际变化在热带中西太平洋地区最强.在ElNino成熟之前的春夏季,热带西太平洋的30～60天振荡异常活跃,其动能明显增加且逐渐东移;在E1Nino成熟以后,热带西太平洋大气30～60天低频振荡迅速减弱.与这种加强的30～60天振荡相伴随,在赤道北侧为异常的气旋式环流,赤道地区出现偏西风异常.相反,在LaNina成熟之前的春夏季,热带西太平洋大气30～60天振荡偏弱.进一步的分析还发现,东亚冬季风的年际变化是引起热带大气30～60天振荡的年际变化的主要机制:强东亚冬季风导致热带西太平洋积云对流加强,从而引起热带西太平洋大气30～60天振荡加强;相反,对应于弱的东亚冬季风,热带西太平洋地区积云对流偏弱,大气30～60天振荡偏弱.作者的资料分析还证实,热带大气30～60天低频振荡的年际变化,作为一种外强迫,对ElNino的形成起着十分重要的作用.     

东亚区域气候变化的长期数值模拟试验

文中利用NCAR的中尺度模式MM 5V3对东亚地区进行了 10a的长期积分模拟试验 ,并着重对冬、夏两季东亚区域气候变化特征进行了分析。分析结果表明 :(1)模式能够合理地模拟出 10a冬、夏平均的区域气候特征。模拟的 10a冬季平均降水的分布和强度与实际比较一致 ,对夏季降水分布特征的模拟也比较合理 ,但模拟的夏季华北降水偏多。模式对冬季平均场的模拟要优于对夏季的模拟 ;(2 )模式对降水、地面气温年际变率的模拟较为合理 ,模拟的中高层环流、温度场等要素的距平相关系数都比较高 ;(3)模式对不同ElNi no年对东亚区域气候变化影响的模拟能力有所不同 ,模拟的 1992 ,1995年的结果比较合理 ,但对 1998年模拟得不理想 ;(4)MM5V3模式具备一定的区域气候模拟能力。     

The Madden–Julian oscillation in ECHAM4 coupled and uncoupled general circulation models

The Madden-Julian oscillation (MJO) dominates tropical variability on timescales of 30–70 days. During the boreal winter/spring, it is manifested as an eastward propagating disturbance, with a strong convective signature over the eastern hemisphere. The space–time structure of the MJO is analyzed using simulations with the ECHAM4 atmospheric general circulation model run with observed monthly mean sea-surface temperatures (SSTs), and coupled to three different ocean models. The coherence of the eastward propagation of MJO convection is sensitive to the ocean model to which ECHAM4 is coupled. For ECHAM4/OPYC and ECHO-G, models for which ~100 years of daily data is available, Monte Carlo sampling indicates that their metrics of eastward propagation are different at the 1% significance level. The flux-adjusted coupled simulations, ECHAM4/OPYC and ECHO-G, maintain a more realistic mean-state, and have a more realistic MJO simulation than the nonadjusted scale interaction experiment (SINTEX) coupled runs. The SINTEX model exhibits a cold bias in Indian Ocean and tropical West Pacific Ocean sea-surface temperature of ~0.5°C. This cold bias affects the distribution of time-mean convection over the tropical eastern hemisphere. Furthermore, the eastward propagation of MJO convection in this model is not as coherent as in the two models that used flux adjustment or when compared to an integration of ECHAM4 with prescribed observed SST. This result suggests that simulating a realistic basic state is at least as important as air–sea interaction for organizing the MJO. While all of the coupled models simulate the warm (cold) SST anomalies that precede (succeed) the MJO convection, the interaction of the components of the net surface heat flux that lead to these anomalies are different over the Indian Ocean. The ECHAM4/OPYC model in which the atmospheric model is run at a horizontal resolution of T42, has eastward propagating zonal wind anomalies and latent heat flux anomalies. However, the integrations with ECHO-G and SINTEX, which used T30 atmospheres, produce westward propagation of the latent heat flux anomalies, contrary to reanalysis. It is suggested that the differing ability of the models to represent the near-surface westerlies over the Indian Ocean is related to the different horizontal resolutions of the atmospheric model employed.