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南宁市强对流暴雨降水特征及成因初探 总被引:6,自引:1,他引:6
对1955~2000年发生在南宁市的强对流暴雨的降水特征作了较系统的分析,得出5~8月是强对流暴雨多发期,以单个雨团影响最为普遍,易发生在水汽和不稳定层结垂直分布极不均匀的环境场中。 相似文献
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近年来,能量天气分析的实践表明,在强对流天气或暴雨发生之前12~36小时,对流层中低层出现狭窄的和喇叭状的不稳定能量舌。这种能量系统与强对流天气和区域性暴雨的发生机制有密切的关系,也与它们的落点,落区有一定的对应关系。 相似文献
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利用GMS-5静止气象卫星逐时红外云图数值资料,分析了阿克苏北部绿洲1998~2001年5~8月各10次强对流暴雨和冰雹过程的红外云图特征,表明强对流暴雨与冰雹中尺度云团在尺度、形状、强度、发生、成熟时间和生命史方面具有显著的异同,这些指标对它们的监测、预警具有重要意义。 相似文献
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一次豫北春季强对流暴雨过程的螺旋度分析 总被引:1,自引:1,他引:0
利用中尺度有限区域WRF模式输出的细网格资料和多普勒雷达观测资料,根据螺旋度理论,结合稳定度条件以及水汽和能量等物理量,对2009年3月20日夜至21日凌晨发生在豫北的一次强对流及暴雨过程的局地螺旋度演变进行诊断分析。结果表明,这次春季强对流和暴雨与西南急流和高温高湿不稳定能量密切相关,正螺旋度大值中心出现的高度与对流发展的强弱有关;500 hPa螺旋度正值区中心与强对流降水区域对应;暴雨易产生在850 hPa螺旋度中心附近,螺旋度的强度变化对强对流系统的移动、发展及暴雨的发生有一定的指示意义。 相似文献
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该文对2002年7月4~5日发生在陕西子长县受远距离台风影响而产生的突发性暴雨进行了诊断分析。结果表明:子长特大暴雨是由于β-中尺度强对流云团在子长重复出现而产生的。中低纬度系统的相互作用形成了有利于中尺度强对流云团在子长生成、发展和重复出现的水汽条件、不稳定条件、动力条件和天气尺度环流背景。湿位涡诊断分析表明:当台风向西北方向行进时, (1)暴雨区对流层低层MPV1负值发展的同时伴随对流高层MPV1正值的发展, 为对流层低层不稳定能量的充分积累创造了条件;(2)暴雨区形成有利于中尺度强对流云团生成发展的湿位涡正压项、斜压项垂直结构配置;(3)850 hPa等压面上MP V2等值线密集区和MPV1=-2 PVU中尺度强对流不稳定核心区形成耦合, 耦合区对下游中尺度强对流云团发生发展指示意义明显。当台风向北偏东方向行进时, 暴雨区对流层低层和高层形成双层不稳定;850 hPaMPV2等值线密集区东移, 暴雨区MPV2正值发展, 积累的对流不稳定能量在子长形成集中猛烈释放。 相似文献
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Fei LIU Chen XING Jinbao LI Bin WANG Jing CHAI Chaochao GAO Gang HUANG Jian LIU Deliang CHEN 《大气科学进展》2020,37(7):663-670
正The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines. A recent eruption occurred on 12 January 2020(Fig. 1a), and this volcano is still active with the occurrence of volcanic earthquakes. The eruption has become a deep concern worldwide, not only for its damage on local society, but also for potential hazardous consequences on the Earth's climate and environment. 相似文献
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Using the International Comprehensive Ocean-Atmosphere Data Set(ICOADS) and ERA-Interim data, spatial distributions of air-sea temperature difference(ASTD) in the South China Sea(SCS) for the past 35 years are compared,and variations of spatial and temporal distributions of ASTD in this region are addressed using empirical orthogonal function decomposition and wavelet analysis methods. The results indicate that both ICOADS and ERA-Interim data can reflect actual distribution characteristics of ASTD in the SCS, but values of ASTD from the ERA-Interim data are smaller than those of the ICOADS data in the same region. In addition, the ASTD characteristics from the ERA-Interim data are not obvious inshore. A seesaw-type, north-south distribution of ASTD is dominant in the SCS; i.e., a positive peak in the south is associated with a negative peak in the north in November, and a negative peak in the south is accompanied by a positive peak in the north during April and May. Interannual ASTD variations in summer or autumn are decreasing. There is a seesaw-type distribution of ASTD between Beibu Bay and most of the SCS in summer, and the center of large values is in the Nansha Islands area in autumn. The ASTD in the SCS has a strong quasi-3a oscillation period in all seasons, and a quasi-11 a period in winter and spring. The ASTD is positively correlated with the Nio3.4 index in summer and autumn but negatively correlated in spring and winter. 相似文献
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Analysis of Atmospheric Boundary Layer Height Characteristics over the Arctic Ocean Using the Aircraft and GPS Soundings
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正ERRATUM to: Atmospheric and Oceanic Science Letters, 4(2011), 124-130 On page 126 of the printed edition (Issue 2, Volume 4), Fig. 2 was a wrong figure because the contact author made mistake giving the wrong one. The corrected edition has been updated on our website. The editorial office is sincerely sorry for any 相似文献
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《大气科学进展》2014,(6)
正AN Junling;see LI Ying et al.;(5),1221—1232AN Junling;see QU Yu et al.;(4),787-800AN Junling;see WANG Feng et al.;(6),1331-1342Ania POLOMSKA-HARLICK;see Jieshun ZHU et al.;(4),743-754Baek-Min KIM;see Seong-Joong KIM et al.;(4),863-878BAI Tao;see LI Gang et al.;(1),66-84BAO Qing;see YANG Jing et al.;(5),1147—1156BEI Naifang; 相似文献
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《Acta Meteorologica Sinica》2014,(6)
正Journal of Meteorological Research is an international academic journal in atmospheric sciences edited and published by Acta Meteorologica Sinica Press,sponsored by the Chinese Meteorological Society.It has been acting as a bridge of academic exchange between Chinese and foreign meteorologists and aiming at introduction of the current advancements in atmospheric sciences in China.The journal columns include Articles.Note and Correspondence,and research letters.Contributions from all over the world are welcome. 相似文献
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自地球形成至寒武纪将近40亿年(距今46亿~5.4亿年,通常称为前寒武纪)的气候演变是一个具有特殊难度和挑战性的研究领域,同时也是基础和前沿的研究领域。文章选择了前寒武纪气候演化中的三个重要科学问题进行综述:大气演化、两次全球性的冰川期以及暗弱太阳问题。关于大气演化,本文首先描述了大气成分的演化历史,然后简述了影响大气成分演化的三个基本过程:大气逃逸、两次大气氧含量突然增加、碳酸盐-硅酸盐循环及其对气候系统的负反馈作用。两次全球性的冰川期分别发生在古元古代(距今24亿~21亿年)和新元古代(距今8亿~5.8亿年),文章简述了其成因以及相关的气候模拟结果。暗弱太阳问题是地球历史气候演化的一个经典问题,论文简要地综述了一些最新的研究成果和观点。 相似文献
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淮河流域水文极值预测模型研究 总被引:1,自引:0,他引:1
为探索气候变化影响下水文极值的非平稳性和预测方法,建立了水文极值非平稳广义极值(GEV)分布的统计预测模型。利用1952-2010年淮河上游流域累计面雨量和流量年最大值资料、同期500 hPa环流特征量资料以及17个CMIP5模式对环流特征量的模拟结果,筛选出对水文极值影响显著的年平均北半球极涡强度指数作为GEV分布参数的预测因子。分析了在RCP2.6、RCP4.5和RCP8.5情景下2006-2050年淮河上游流域水文极值对气候变化的响应。结果表明,10年以下与10年以上重现期的水文极值在非平稳过程中呈现前者下降而后者上升的相反变化趋势;多模型预测的集合平均在未来情景中均呈现上升趋势,情景排放量越大增幅越大,重现期越长增幅也越大。与极值的常态相比,极值的极端态更易受气候变化影响。 相似文献
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The spatial and temporal variations of daily maximum temperature(Tmax), daily minimum temperature(Tmin), daily maximum precipitation(Pmax) and daily maximum wind speed(WSmax) were examined in China using Mann-Kendall test and linear regression method. The results indicated that for China as a whole, Tmax, Tmin and Pmax had significant increasing trends at rates of 0.15℃ per decade, 0.45℃ per decade and 0.58 mm per decade,respectively, while WSmax had decreased significantly at 1.18 m·s~(-1) per decade during 1959—2014. In all regions of China, Tmin increased and WSmax decreased significantly. Spatially, Tmax increased significantly at most of the stations in South China(SC), northwestern North China(NC), northeastern Northeast China(NEC), eastern Northwest China(NWC) and eastern Southwest China(SWC), and the increasing trends were significant in NC, SC, NWC and SWC on the regional average. Tmin increased significantly at most of the stations in China, with notable increase in NEC, northern and southeastern NC and northwestern and eastern NWC. Pmax showed no significant trend at most of the stations in China, and on the regional average it decreased significantly in NC but increased in SC, NWC and the mid-lower Yangtze River valley(YR). WSmax decreased significantly at the vast majority of stations in China, with remarkable decrease in northern NC, northern and central YR, central and southern SC and in parts of central NEC and western NWC. With global climate change and rapidly economic development, China has become more vulnerable to climatic extremes and meteorological disasters, so more strategies of mitigation and/or adaptation of climatic extremes,such as environmentally-friendly and low-cost energy production systems and the enhancement of engineering defense measures are necessary for government and social publics. 相似文献