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971.
山东省远距离热带气旋暴雨研究   总被引:22,自引:2,他引:20  
应用1971-2003年的山东降水资料、常规天气图资料、台风年签和NCEP资料,对在华南沿海登陆和活动的热带气旋在山东造成远距离暴雨的气候特征进行统计分析,对环流形势场进行合成分析.建立了山东省远距离热带气旋暴雨的天气学模型.分别计算分析了山东有和无远距离热带气旋暴雨合成的水汽和温湿能的收支.结果表明:在华南沿海登陆和活动的热带气旋与西风带环流系统和副热带高压相互作用在山东造成的远距离热带气旋暴雨年均2.5次.暴雨的范围广、强度大.出现暴雨的时间比热带气旋登陆时间滞后.在山东造成远距离暴雨的热带气旋在华南沿海登陆时,中心东部有一股东南风或偏南风低空急流指向内陆.中高纬度中低层西风带环流弱,位置偏北.500 hPa西风带中的偏北气流与副高边缘的偏南气流在山东境内汇合.低层850-700 hPa伴有低值系统影响,山东为气旋性环流控制.热带气旋登陆后其中心附近的中低层偏南风急流向北伸展,绕过副高脊线直达山东.在台风中心附近至山东之间建立起水汽和温湿能的输送通道,把高温高湿的暖湿空气源源不断地向山东输送.在台风登陆后12-48小时内,山东暴雨区上空有大量的水汽和温湿能的净流入.暖湿气流与西风带气流相汇合,产生辐合上升,造成暴雨.  相似文献   
972.
印度夏季风与中国华北降水的遥相关分析及数值模拟   总被引:4,自引:0,他引:4  
刘芸芸  丁一汇 《气象学报》2008,66(5):789-799
20世纪80年代中国学者揭示了印度夏季风与中国华北降水的正相关关系,以后国内外又有一些研究证实了这种正相关关系的存在.文中利用1951-2005年多种气象资料和数值模拟方法,详细讨论了印度夏季风和中国华北地区夏季降水的关系,并针对由印度西北部经青藏高原到中国华北地区形成的正、负、正的遥相关型,从动力因子和热力因子两方面探讨了其中的内在联系,所得结果不但确证了以往的结论,而且进一步揭示了印度夏季风对华北地区降水的影响机制.结果表明:(1)印度夏季风强(弱)时,华北地区容易出现降水偏多(少)的天气;华北地区降水偏多(少)时,印度夏季风偏强(弱)的机率却低一些,这说明印度夏季风的异常变化对华北地区夏季降水有更大的影响.(2)印度夏季风强度主要受印度季风槽的影响,在印度季风槽加深的同时,中高纬的低压槽也加深发展,而这时西太平洋高压脊西伸,来自低纬的西南风水汽输送和源于西太平洋的副热带高压南侧的东南风水汽输送共同作用,有利于华北地区的降水偏多;反之则不利于华北地区的降水.(3)区域气候模式模拟结果也很好地模拟出印度夏季风和华北夏季降水的遥相关关系,其相应的环流异常系统与诊断分析结果非常一致,这从另一方面证实了这种遥相关关系的存在和可靠性.  相似文献   
973.
974.
A simulation of climate change trends over North China in the past 50 years and future 30 years was performed with the actual greenhouse gas concentration and IPCC SRES B2 scenario concentration by IAP/LASG GOALS 4.0 (Global Ocean-Atmosphere-Land system coupled model), developed by the State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS). In order to validate the model, the modern climate during 1951-2000 was first simulated by the GOALS model with the actual greenhouse gas concentration, and the simulation results were compared with observed data. The simulation results basically reproduce the lower temperature from the 1960s to mid-1970s and the warming from the 1980s for the globe and Northern Hemisphere, and better the important cold (1950 1976) and warm (1977-2000) periods in the past 50 years over North China. The correlation coefficient is 0.34 between simulations and observations (significant at a more than 0.05 confidence level). The range of winter temperature departures for North China is between those for the eastern and western China's Mainland. Meanwhile, the summer precipitation trend turning around the 1980s is also successfully simulated. The climate change trends in the future 30 years were simulated with the CO2 concentration under IPCC SRES-B2 emission scenario. The results show that, in the future 30 years, winter temperature will keep a warming trend in North China and increase by about 2.5~C relative to climate mean (1960-1990). Meanwhile, summer precipitation will obviously increase in North China and decrease in South China, displaying a south-deficit-north-excessive pattern of precipitation.  相似文献   
975.
Observations from several data centers together with a categorization method are used to evaluate the IPCC AR4 (Intergovernmental Panel on Climate Change, the Fourth Assessment Report) climate models' performance in simulating the interdecadal variations of summer precipitation and monsoon circulation in East Asia. Out of 19 models under examination, 9 models can relatively well reproduce the 1979-1999 mean June-July-August (JJA) precipitation in East Asia, but only 3 models (Category-1 models) can capture the interdecadal variation of precipitation in East Asia. These 3 models are: GFDL-CM2.0, MIROC3.2 (hires), and MIROC3.2 (medres), among which the GFDL-CM2.0 gives the best performance. The reason for the poor performance of most models in simulating the East Asian summer monsoon interdecadal variation lies in that the key dynamic and thermal-dynamic mechanisms behind the East Asian monsoon change are missed by the models, e.g., the large-scale tropospheric cooling and drying over East Asia. In contrast, the Category-1 models relatively well reproduce the variations in vertical velocity and water vapor over East Asia and thus show a better agreement with observations in simulating the pattern of "wet south and dry north" in China in the past 20 years.
It is assessed that a single model's performance in simulating a particular variable has great impacts on the ensemble results. More realistic outputs can be obtained when the multi-model ensemble is carried out using a suite of well-performing models for a specific variable, rather than using all available models. This indicates that although a multi-model ensemble is in general better than a single model, the best ensemble mean cannot be achieved without looking into each member model's performance.  相似文献   
976.
We present an analysis of a regional simulation of present-day climate (1981–1990) over southern South America. The regional model MM5 was nested within time-slice global atmospheric model experiments conducted by the HadAM3H model. We evaluate the capability of the model in simulating the observed climate with emphasis on low-level circulation patterns and surface variables, such as precipitation and surface air mean, maximum and minimum temperatures. The regional model performance was evaluated in terms of seasonal means, seasonal cycles, interannual variability and extreme events. Overall, the regional model is able to capture the main features of the observed mean surface climate over South America, its seasonal evolution and the regional detail due to topographic forcing. The observed regional patterns of surface air temperatures (mean, maxima and minima) are well reproduced. Biases are mostly within 3°C, temperature being overestimated over central Argentina and underestimated in mountainous regions during all seasons. Biases in northeastern Argentina and southeastern Brazil are positive during austral spring season and negative in other seasons. In general, maximum temperatures are better represented than minimum temperatures. Warm bias is larger during austral summer for maximum temperature and during austral winter for minimum temperature, mainly over central Argentina. The broad spatial pattern of precipitation and its seasonal evolution are well captured; however, the regional model overestimates the precipitation over the Andes region in all seasons and in southern Brazil during summer. Precipitation amounts are underestimated over the La Plata basin from fall to spring. Extremes of precipitation are better reproduced by the regional model compared with the driving model. Interannual variability is well reproduced too, but strongly regulated by boundary conditions, particularly during summer months. Overall, taking into account the quality of the simulation, we can conclude that the regional model is capable in reproducing the main regional patterns and seasonal cycle of surface variables. The present reference simulation constitutes the basis to examine the climate change simulations resulting from the A2 and B2 forcing scenarios which are being reported in a separate study.  相似文献   
977.
Often it is claimed that the recent changes in northern European climate are at least partly anthropogenic even though a human influence has not yet been successfully detected. Hence we investigate whether the recent changes are consistent with regional climate change projections. Therefore, trends in winter (DJF) mean precipitation in northern Europe are compared to human induced changes as predicted by a set of four regional climate model simulations. The patterns of recent trends and predicted changes match reasonably well as indicated by pattern correlation and the similarity is very likely not random. However, the model projections generally underestimate the recent change in winter precipitation. That is, the signal-to-noise ratio of the anthropogenic precipitation change is either rather low or the presently used simulations are significantly flawed in their ability to project changes into the future. European trends contain large signals related to the North Atlantic Oscillation (NAO), of which a major unknown part may be unrelated to the anthropogenic signal. Therefore, we also examine the consistency of recent and projected changes after subtracting the NAO signal in both the observations and in the projections. It turns out that even after the removal of the NAO signal, the pattern of trends in the observations is similar to those projected by the models. At the same time, the magnitude of the trends is considerably reduced and closer to the magnitude of the change in the projections.  相似文献   
978.
中国极端气候变化观测研究回顾与展望   总被引:32,自引:5,他引:27  
评述、总结了近年有关中国极端气候变化的观测研究成果,讨论了尚未解决的科学问题和今后应重点加强的工作方向。已有研究表明,1951年以来中国大陆地区极端气候事件频率和强度发生了一定变化,但不同类型和不同区域极端气候变化存在明显差异。从全国范围看,与异常偏冷相关的极端事件如寒潮、冷夜和冷昼天数、霜冻日数等,显著减少减弱,偏冷的气候极值减轻;与异常偏暖相关的暖夜、暖昼日数明显增多,暖夜日数增多尤其明显,但高温事件频数和偏热的气候极值未见显著长期趋势;全国平均暴雨和极端强降水事件频率和强度有所增长,特别是长江中下游和东南地区、西部特别是西北地区有较明显增长,而华北、东北中南部和西南部分地区减少减弱;多数地区小雨频数明显下降,偏轻和偏强降水的强度似有增加;全国遭受气象干旱的范围呈较明显增加趋势,其中华北和东北地区增加更为显著;登陆和影响我国的热带气旋、台风频数有所下降,其造成的降水总量有较明显减少;北方地区的沙尘暴事件从总体上看有显著减少减弱趋势;我国东部部分地区夏季雷暴发生频率也存在较明显下降趋势。现有工作表明,在涉及极端气候变化研究的资料处理和分析方法方面还有改进余地。观测资料的非均一性,以及观测环境改变和城市化对地面气候要素变化趋势的影响偏差,需要进行深入评价和客观订正。此外,目前对于区域极端气候变化的综合分析还较薄弱,在极端气候变化机理的研究方面有待加强。  相似文献   
979.
一个气候系统模式对小冰期外强迫变化的平衡态响应   总被引:3,自引:1,他引:2  
满文敏  周天军  张洁 《大气科学》2010,34(5):914-924
本文利用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气候系统模式FGOALS_gl, 通过设定小冰期的太阳辐射变化, 模拟了小冰期的气候平衡态, 讨论了小冰期气候变化的机理。数值试验结果表明, 由太阳辐照度变化和火山活动共同作用造成的太阳辐射减少是小冰期气候的重要成因, 模拟的小冰期表层气温变化分布与重建资料在全球大多数地区较为一致。就全球平均情况而言, 小冰期的年平均气温较之1860年偏冷0.15℃, 较之20世纪平均情况偏冷0.6℃左右。小冰期温度变化存在显著的地域和季节特征, 表现为北半球降温幅度大于南半球, 高纬地区降温幅度大于低纬地区, 夏季的降温幅度大于冬季。东亚地区小冰期温度较之1860年和20世纪分别偏冷0.3℃和0.6℃。小冰期的降水异常中心位于低纬地区, 主要表现为赤道中东太平洋降水负异常和赤道中西太平洋降水正异常, 以及位于热带印度洋的降水偶极子型。除欧洲和北美外, 全球其他地区陆地降水均减少。东亚地区小冰期夏季降水的变化最为显著, 较之1860年, 华北、 东北地区降水增加, 而长江流域以南降水则减少; 较之20世纪, 东部降水异常表现出华北地区偏多、长江流域偏少、华南地区偏多的“三极型” 分布特征。  相似文献   
980.
全球气候模式对未来中国风速变化预估   总被引:6,自引:0,他引:6  
江滢  罗勇  赵宗慈 《大气科学》2010,34(2):323-336
利用世界气候研究计划之第三次耦合模式比较计划 (WCRP/CMIP3) 提供的, 参加IPCC AR4的19个气候模式和国家气候中心为IPCC第五次报告研发的新一代气候模式 (BCC_CSM1.0.1) 及模式集成, 考虑高排放 (A2)、 中等排放 (A1B) 和低排放 (B1) 三种人类排放情景, 预估21世纪中国近地层 (离地10 m) 风速变化。预估结果表明: (1) 21世纪全国平均的年平均风速呈微弱的减小趋势, 且随着预估情景人类排放的增加, 中国年平均风速减小趋势越显著。 (2) 冬季 (夏季) 全国平均风速呈减小 (增大) 趋势, 人类排放量越多, 冬季 (夏季) 风速减小 (增加) 程度越大。21世纪我国风速夏季 (冬季) 增大 (减小) 与全球变暖的背景下未来亚洲夏季风 (冬季风) 增强 (减弱) 有一定关系。 (3) 与20世纪末期 (1980~1999年) 相比, 21世纪初期 (2011~2030年) 中国区域年平均风速A2情景下略偏小, A1B和B1情景下年平均风速无明显变化; 21世纪中期 (2046~2065年) 和后期 (2080~2099年), 三种排放情景下中国年平均风速均比20世纪末期风速小。 (4) 21世纪初期、 中期和后期均表现为冬季 (夏季) 平均风速比20世纪末期冬季 (夏季) 平均小 (大)。 (5) 夏季中国中北部和东北地区风速偏大, 其余地区风速无明显变化或略偏小; 冬季除了东北北部和西藏东南部外, 中国大部地区风速偏小。绝大部分地区超过50%模式一致地预估上述风速变化形式, 具有一定的可信度。  相似文献   
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