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2004年4月23日江西强对流天气过程分析 总被引：3，自引：0，他引：3
从天气形势、卫星云图、雷达资料及部分物理量、对流参数等方面,对江西2004年4月23日的强对流天气过程进行了分析.分析结果表明,高空南支槽、地面辐合线、850 hPa西南急流和切变线,是这次强对流天气过程的主要影响系统;强风垂直切变和不稳定是这次强对流发生的重要条件;对流云团发生在逗点云系的凹边界;强对流落区与500hPa干舌、中尺度辐合线、当天14时≥40℃的地面总温度有较好的空间对应关系. 相似文献
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利用常规观测资料、NCEP1°×1°再分析资料、卫星云图资料等,对陕西关中2011年9月5—6日的连阴雨中的暴雨过程进行诊断分析,结果表明:700hPa切变线、陇南低涡、西南急流和地面冷锋为此次暴雨的主要影响系统;水汽主要来源于700hPa;影响系统建立先于强对流云团发展3h以上;对流云团沿着700hPa切变线分布区域发展;暴雨时段始终维持强倾斜上升运动;暴雨区落区位于对流云团西侧θse值密集区附近,降水强度随着云顶亮温的降低而增强;700hPa暖湿气流沿850hPa冷垫爬升,冷暖交汇偏北,强降水发生在冷平流区。 相似文献
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利用实况观测资料、多普勒雷达资料、TBB资料及NCEP/NCAR再分析资料等对2011年4月15日发生在贵州西南部的强对流天气过程进行了诊断分析。结果表明:此次强对流天气过程是在高空槽、低层切变线和地面中尺度辐合线的配合下产生的,上层干冷、下层暖湿的对流不稳定层结有利于强对流天气的产生;强对流天气的发生发展伴随地面辐合线上多个中尺度对流云团的东移南压;雷达回波上回波中心强度较大,强回波伸展高度也有利于强对流天气的发生;对流有效位能和抬升指数对于此次过程有较好的指示意义,强对流天气发生前,CAPE值跃增,LI值由正转为负值,并且CAPE高值中心区和LI的负值中心区与这次过程的强对流天气发生区域吻合;强对流天气发生在能量锋区和湿度锋区的高能高湿区,当日14 h的θse廓线呈"弓"状,结合温度平流、水汽条件和垂直速度的分析得知中高层有干冷空气向下入侵,强对流天气发生时垂直速度伸展很高,促进深对流系统的发展;对湿位涡分析发现强对流天气发生在700 hPa MPV1负值中心与MPV2正值中心之间的区域。 相似文献
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以2011年6月15-16日发生在梧州北部的强降水过程为个例,结合多种观测资料,从天气形势、卫星云图多普勒雷达资料等进行分析.结果表明:500hPa多波动气流、850hPa切变线以及地面冷空气的补充南下是这次强对流天气过程的环流背景:卫星云图上可以看出明显的中尺度对流云团特征;雷达回波基本反射率图像的PP1分析表明在强... 相似文献
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利用常规气象资料和卫星云图资料,采用天气学诊断方法,从大尺度环流背景、天气系统、物理量场、对流云团演变特征等方面,分析了2006年7月3～4日出现在湖北郧西的一次暴雨天气过程的成因。结果表明,此次暴雨是在副热带高压减弱东退形势下产生的;700 hPa和850 hPa的冷槽、切变线是此次强降水的主要影响系统,暴雨区位于700 hPa切变线右侧、850 hPa切变线附近;暴雨区上空存在明显正涡度柱,低层辐合与中高层辐散形成抽吸作用,为暴雨过程发生发展提供了动力条件;存在于孟加拉湾至我国西南地区的水汽通道为暴雨过程提供了必需的水汽;整个暴雨过程都伴随着中尺度对流云团的初生、发展、合并和减弱,降水主要由发展型对流云团造成。 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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下载免费PDF全文 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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Various features of the atmospheric environment affect the number of migratory insects, besides their initial population. However, little is known about the impact of atmospheric low-frequency oscillation(10 to 90 days) on insect migration. A case study was conducted to ascertain the influence of low-frequency atmospheric oscillation on the immigration of brown planthopper, Nilaparvata lugens(Stl), in Hunan and Jiangxi provinces. The results showed the following:(1) The number of immigrating N. lugens from April to June of 2007 through 2016 mainly exhibited a periodic oscillation of 10 to 20 days.(2) The 10-20 d low-frequency number of immigrating N. lugens was significantly correlated with a low-frequency wind field and a geopotential height field at 850 h Pa.(3) During the peak phase of immigration, southwest or south winds served as a driving force and carried N. lugens populations northward, and when in the back of the trough and the front of the ridge, the downward airflow created a favorable condition for N. lugens to land in the study area. In conclusion, the northward migration of N. lugens was influenced by a low-frequency atmospheric circulation based on the analysis of dynamics. This study was the first research connecting atmospheric low-frequency oscillation to insect migration. 相似文献