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山东省三次暖切变线极强降水的对比分析 被引量:37
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作者 杨晓霞 吴炜 +6 位作者 姜鹏 徐娟 胡顺起 刁秀广 高留喜 王文青 华雯丽 《气象》 CSCD 北大核心 2013年第12期1550-1560,共11页
应用加密观测、常规观测、卫星云图和雷达探测的资料及NCEO/NCAR(1°×1°)再分析资料,对由东省三次极强降水天气进行了诊断和对比分析。结果表明,,低层暖式切变线和500 hPa西风槽是三次强降水的主要影响系统。强降水前低... 应用加密观测、常规观测、卫星云图和雷达探测的资料及NCEO/NCAR(1°×1°)再分析资料,对由东省三次极强降水天气进行了诊断和对比分析。结果表明,,低层暖式切变线和500 hPa西风槽是三次强降水的主要影响系统。强降水前低层大气高温、高湿、对流不稳定同,有较高的对流不稳定能量。低层暖式切变线辐合和暖湿平流产生的上升运动与地面辐合线附近产生的上升运动相叠加,触发对流不稳定能量释放,产生强对流,造成强降水。较强的风垂直切变使得对流有组织地发展。强降水期间,中高层弱的干冷空气侵入,使得对流不稳定加强,中高层具有高位涡的干冷空气入侵诱发低层中尺度涡旋发展,辐合上升运动加强。低层暖湿气流螺旋式辐合上升与中高层入侵的干冷空气相遇,水汽凝结率增大,降水强度增强。中高层干冷空气侵入的时段与极强降水的时段相对应。有利的地形对局地短时极强降水有重要作用。低层暖式切变线和500 hPa低槽的位置、强弱不同,中高冷空气的强度和入侵路径不同,对流云团的发生发展、内部结构和移动方向不同,造成强降水的地理位置和强度不同。 展开更多
关键词 极强降水 诊断和对比分析 低层暖切变线 高空槽 中高层干冷空气侵入 地形作用 云团特征
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1981~2019年西藏极强降水的时空变化特征
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作者 次丹卓玛 次旺 +2 位作者 次旺顿珠 李惠 马鹏飞 《气候变化研究快报》 2022年第4期497-509,共13页
极强降水量是造成气象灾害的重要原因之一,利用1981~2019年西藏自治区(简称西藏) 38个气象台站逐日降水量资料,分析了西藏近39年来极强降水频数及强度的时空变化特征,结合Mann-Kendall检验对极强降水频数和强度突变特征进行检验。结果表... 极强降水量是造成气象灾害的重要原因之一,利用1981~2019年西藏自治区(简称西藏) 38个气象台站逐日降水量资料,分析了西藏近39年来极强降水频数及强度的时空变化特征,结合Mann-Kendall检验对极强降水频数和强度突变特征进行检验。结果表明:西藏极强降水存在显著空间分布特征,极强降水事件阈值主要呈现东南部及南部边缘聂拉木地区较大,西北部及南部错那地区较小的趋势;由于地势和气候背景等影响,西藏南部和东南部地区极强降水偏多,西部地区极强降水偏少。同时西藏极强降水存在明显的季节与年代际变化特征,极强降水四季的频数及强度差异较大,研究时间段内极强降水频数和强度整体呈现出缓慢增长的趋势,Mann-Kendall检验表明极强降水频数及强度出现交点较多,整体呈现缓慢上升的变化趋势;主要从 1984年出现突变。 展开更多
关键词 强降水 极强降水 端事件 阈值 MANN-KENDALL检验
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梅雨雨带移动对1961-2020年江苏省极端降水的影响 被引量:2
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作者 陈燕 陈兵 +1 位作者 孙佳丽 王国庆 《水资源与水工程学报》 CSCD 北大核心 2022年第5期27-35,共9页
极端降水的气候态特征及其演变对于城市内涝防控、水环境污染治理、海绵城市建设等意义重大。利用江苏省67个国家级气象观测站1961-2020年的日降水资料,采用趋势分析、M-K检验、小波分析等方法分析强降水和极强降水的气候态特征和年代... 极端降水的气候态特征及其演变对于城市内涝防控、水环境污染治理、海绵城市建设等意义重大。利用江苏省67个国家级气象观测站1961-2020年的日降水资料,采用趋势分析、M-K检验、小波分析等方法分析强降水和极强降水的气候态特征和年代际变化,以及梅雨雨带移动对江苏省内淮河流域和长江流域极端降水的影响。结果表明:江苏省沿江地区强降水和极强降水的雨量最大。强降水和极强降水分别贡献了全年34.5%和11.9%的降水量,1/3的极端降水发生在6月下旬至7月中旬。江苏省大部分地区的极端降水雨量、雨日和雨强呈增加趋势,但只有长江流域通过显著性检验。极端降水的雨强年代际波动较小,雨量年代际波动较大;年代际波动性与其平均态之间无显著的对应关系。梅雨雨带的南北移动对极端降水产生明显影响,江苏省内的长江流域和淮河流域的年降水异常度和强降水距平百分率对应关系较好,在降水异常偏多年份发生极端降水的概率较高。江苏省内长江流域和淮河流域近60年的强降水多次出现增加、减少的变化。2010年以后长江流域极端降水增多,雨量和雨日上升趋势显著,开始时间明显提前,结束时间推后,持续时间增长。 展开更多
关键词 降水 梅雨雨带 气候态特征 强降水 极强降水 江苏省
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Climate state of the Three Gorges Region in the Yangtze River basin in 2022–2023
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作者 Tong Cui Xianyan Chen +3 位作者 Xukai Zou Linhai Sun Qiang Zhang Hongling Zeng 《Atmospheric and Oceanic Science Letters》 CSCD 2024年第5期61-66,共6页
Based on daily observation data of the Three Gorges Region(TGR)of the Yangtze River basin and global reanalysis data,the climate characteristics,climate events,and meteorological disasters of the TGR in 2022 and 2023 ... Based on daily observation data of the Three Gorges Region(TGR)of the Yangtze River basin and global reanalysis data,the climate characteristics,climate events,and meteorological disasters of the TGR in 2022 and 2023 were analyzed.For the TGR,the average annual temperature for 2022 and 2023 was 0.8℃ and 0.4℃ higher than normal,respectively,making them the two warmest years in the past decade.In 2022,the TGR experienced its warmest summer on record.The average air temperature was 2.4℃ higher than the average,and there were 24.8 days of above-average high temperature days during summer.Rainfall in the TGR varied significantly between 2022 and 2023.Annual rainfall was 18.4%below normal and drier than normal in most parts of the region.In contrast,the precipitation in 2023 was considerably higher than the long-term average,and above normal for almost the entire year.The average wind speed exhibited minimal variation between the two years.However,the number of foggy days and relative humidity increased in 2023 compared to 2022.In 2022–2023,the TGR mainly experienced meteorological disasters such as extreme high temperatures,regional heavy rain and flooding,overcast rain,and inverted spring chill.Analysis indicates that the abnormal western Pacific subtropical high and the abnormal persistence of the eastward-shifted South Asian high were the two important drivers of the durative enhancement of record-breaking high temperature in the summer of 2022. 展开更多
关键词 Three Gorges Region Climate state Extreme high temperature Torrential summer rainfall Climate analysis
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FUTURE CHANGE OF PRECIPITATION EXTREMES OVER THE PEARL RIVER BASIN FROM REGIONAL CLIMATE MODELS
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作者 杜尧东 杨红龙 +1 位作者 曹超雄 刘蔚琴 《Journal of Tropical Meteorology》 SCIE 2016年第1期57-65,共9页
Based on RegCM4,a climate model system,we simulated the distribution of the present climate(1961-1990)and the future climate(2010-2099),under emission scenarios of RCPs over the whole Pearl River Basin.From the climat... Based on RegCM4,a climate model system,we simulated the distribution of the present climate(1961-1990)and the future climate(2010-2099),under emission scenarios of RCPs over the whole Pearl River Basin.From the climate parameters,a set of mean precipitation,wet day frequency,and mean wet day intensity and several precipitation percentiles are used to assess the expected changes in daily precipitation characteristics for the 21 st century.Meanwhile the return values of precipitation intensity with an average return of 5,10,20,and 50 years are also used to assess the expected changes in precipitation extremes events in this study.The structure of the change across the precipitation distribution is very coherent between RCP4.5 and RCP8.5.The annual,spring and winter average precipitation decreases while the summer and autumn average precipitation increases.The basic diagnostics of precipitation show that the frequency of precipitation is projected to decrease but the intensity is projected to increase.The wet day percentiles(q90 and q95) also increase,indicating that precipitation extremes intensity will increase in the future.Meanwhile,the5-year return value tends to increase by 30%-45%in the basins of Liujiang River,Red Water River,Guihe River and Pearl River Delta region,where the 5-year return value of future climate corresponds to the 8-to 10-year return value of the present climate,and the 50-year return value corresponds to the 100-year return value of the present climate over the Pearl River Delta region in the 2080 s under RCP8.5,which indicates that the warming environment will give rise to changes in the intensity and frequency of extreme precipitation events. 展开更多
关键词 climate change RCPs scenario Pearl River Basin regional climate model RegCM4
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