中国短期气候变化的一个重要原因——青藏高原地表反射率的变化

通过数值试验对高原地表反射率变化的气候效应进行了敏感性研究,同时对观测的近４０年中国区域气候变化趋势作了对比分析。结果表明,高原主体地表反射率增加是我国短期气候变化的重要控制因子之一,它能造成东亚夏季风和高原夏季风的显著减弱,使夏季我国东部季风区北方变暖,南方变冷,季风降水普遍减少。     

春季北方气旋活动的气候特征及与气温和降水的关系

利用1948-2002年NCEP／NCAR再分析逐日海平面气压资料以及中国160站的降水和气温资料，分析了春季北方气旋活动频数和强度的时空变化特征，以及两者与中国降水和气温的相关关系。结果表明：春季北方气旋活动频繁，存在明显的两个高值中心，分别位于蒙古国的中部和我国东北北部地区。春季北方气旋活动频数和强度均存在明显的年际和年代际变化。伴随着一次全球性的年代际气候跃变，20世纪70年代中后期无论是频数还是强度均出现了显著的突变。春季北方气旋活动频数主要对我国北方地区的降水和气温有一定影响，活动频数多(少)年，我国华北大部、新疆北部降水偏少(多)；北疆地区气温回升(下降)，甘、宁、陕、内部分地区偏冷(暖)。80-90年代春季北方气旋活动频数的偏少，强度的减弱，导致我国北方地区沙尘暴次数比70年代减少.     

时间平均基流中准定常波的传播及多向折射

应用几何光学中的射线理论，直观地讨论了准定常波在时间平均基流中的传播，解释了定常 传播的纬向非均匀性。结果表明：折射指数平方可表示为基流绝对对基流流函数的微商，定常波的传播路径与折射指数平方的空间分布有着密切的关系。     

小浪底水库蓄水前后雷暴气候变化特征分析

利用小浪底库区及周边地区具有代表性的12个气象站蓄水前后共20 a逐日雷暴资料,采用数理统计方法对各站雷暴日数、初日、终日及其空间分布特征等进行统计,结果表明:小浪底水库蓄水后,因水域面积增大,对小浪底库区及周边雷暴气候特征等有较大影响,库区和周边东部年雷暴日数和初终间日数呈增加趋势,周边南部呈减少趋势;雷暴日数秋季增加,夏季减少;库区和周边雷暴初日均呈明显的提前趋势,终日多呈推迟趋势。     

长江三角洲夏季持续性高温预报方法的研究

采用1999～2008年逐日最高气温观测资料和NCEP逐日再分析资料,统计分析了长江三角洲地区近10a夏季温度的低频周期,揭示了对该地区夏季温度变化产生影响的区域和特征。研究表明,该地区夏季温度的低频周期为10-30d。通过相关分析在42．50～47．5°N、82．5°～90°E,42．5°～47．5°N、80°～90...     

营口市一氧化碳中毒事件发生日气象条件分析

利用近10 a营口市一氧化碳浓度监测资料和气象监测资料,分析了一氧化碳中毒事件发生与一氧化碳浓度的关系,探讨了一氧化碳中毒事件发生日的地面天气形势和局地气象条件特征。结果表明:一氧化碳中毒事件发生日空气中一氧化碳浓度值偏高;弱高压类、低压类和均压类天气形势均可能发生一氧化碳中毒事件;气压梯度小,风速小,气温变化小,不利于污染物扩散是造成一氧化碳中毒的主要原因。     

江西“4·12”降雹过程的多普勒雷达资料分析

通过分析江西省2003年4月12日降雹天气过程中,强对流天气发生前后的CINRAD-SA多普勒雷达资料的演变特征,归纳出强对流天气过程的相关特征,提出强对流天气临近预报的几个着眼点和指标.发现应用弓状回波、TBSS、“逆风区”、低层中尺度辐合线、垂直积分液态水含量（VIL）及冰雹指数的变化能有效地指导灾害性天气临近预报,并有一定的提前量.     

Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP

On the basis of the disaster system theory and comprehensive analysis of flood risk factors, including the hazard of the disaster-inducing factors and disaster-breeding environment, as well as the vulnerability of the hazards-bearing bodies, the primary risk assessment index system of flood diversion district as well as its assessment standards were established. Then, a new model for comprehensive flood risk assessment was put forward in this paper based on set pair analysis (SPA) and variable fuzzy sets (VFS) theory, named set pair analysis-variable fuzzy sets model (SPA-VFS), which determines the relative membership degree function of VFS by using SPA method and has the advantages of intuitionist course, simple calculation and good generality application. Moreover, the analytic hierarchy process (AHP) was combined with trapezoidal fuzzy numbers to calculate the weights of assessment indices, thus the weights for flood hazard and flood vulnerability were determined by the fuzzy AHP procedure, respectively. Then SPA-VFS were applied to calculate the flood hazard grades and flood vulnerability grades with rank feature value equation and the confidence criterion, respectively. Under the natural disasters risk expression recommended by the Humanitarian Affairs Department of United Nations, flood risk grades were achieved from the flood hazard grades and flood vulnerability grades with risk grade classification matrix, where flood hazard, flood vulnerability and flood risk were all classified into five grades as very low, low, medium, high and very high. Consequently, integrated flood risk maps could be carried out for flood risk management and decision-making. Finally, SPA-VFS and fuzzy AHP were employed for comprehensive flood risk assessment of Jingjiang flood diversion district in China, and the computational results demonstrate that SPA-VFS is reasonable, reliable and applicable, thus has bright prospects of application for comprehensive flood risk assessment, and moreover has potential to be applicable to comprehensive risk assessment of other natural disasters with no much modification.     

Preface to the special memorial issue for Professor Donald V. Helmberger

Donald Vincent Helmberger,Ph.D.and Smits Family Professor of Geophysics Emeritus at Caltech(Figure 1),one of the primary founders of seismic waveform modeling,w...     

三峡库区气温变化高精度区域气候模式模拟与预估

基于三峡库区1961—2005年气温逐日格点数据,评估由BCC_CSM1.1模式驱动的RegCM4区域气候模式、MPI-ESM-LR模式驱动的CCLM区域气候模式对三峡库区平均气温、极端高温的模拟能力,选用与观测值更为接近的区域气候模式模拟结果,预估三峡库区在RCP4.5温室气体排放情景下2016—2035年气温变化。结果表明:RegCM4和CCLM模式均能模拟出三峡库区多年平均气温、高温日数和高温强度的季节变化和空间分布形态,但均在库区东北部模拟的年平均气温偏低、高温日数偏少、高温强度偏小。同时,模式均能较好地反映出三峡库区年平均气温、年高温日数的年际变化,但对高温强度的年际变化模拟较差。总体而言,CCLM模式对三峡库区气温的模拟效果好于RegCM4。RCP4.5情景下,三峡库区2016—2035年平均气温、高温日数比当代(1986—2005年)分别增加0.6℃和5d,高温强度变化不明显。