影响中国降水的热带气旋的气候特征分析

分析影响中国降水的热带气旋的气候特征表明,1951—2005年影响热带气旋的频数呈减少趋势,近10年其频数最小;近55年来影响热带气旋中超强台风的频数显著减少;5—11月是热带气旋影响中国的主要时期,7—9月为活跃期。影响热带气旋的源地主要有3个,源地存在明显的年代际和季节变化。影响热带气旋的路径随季节变化有明显的南北移动。影响热带气旋的影响期约为5.6个月,近55年其影响期呈缩短趋势,夏秋季的影响天数较长,冬春季较短。影响热带气旋频次的空间分布呈带状分布,由东南向西北递减,中国台湾省受热带气旋影响最频繁。影响热带气旋的年平均降水量自东南沿海向西北方向逐渐减少。     

广东热带气旋降水年代际变化特征的分析

采用1951—2005年热带气旋和广东省26个测站降水的观测资料,分析了广东热带气旋及其降水的年代际变化特征。结果表明:广东热带气旋降水存在峰值为25年左右的振荡周期,影响广东的热带气旋个数和西北太平洋上热带气旋的形成个数都存在峰值为23年左右的振荡周期;广东热带气旋降水的年代际变化与影响广东的热带气旋个数和西北太平洋上热带气旋的形成个数存在高度正相关;广东热带气旋降水的年代际变化与西太平洋部分区域的年平均SST的年代际变化和北太平洋中高纬部分地区的年平均500 hPa位势高度的年代际变化存在显著的负相关;广东热带气旋降水偏少时期与降水偏多时期相比,一般赤道中、东太平洋的平均SST相对较高,而北太平洋中纬度地区的平均SST相对较低,北太平洋上的东亚大槽相对较强。     

深圳市前汛期西风带大暴雨天气形势特征

对1978～2008年深圳市前汛期西风带大暴雨期间的500、850 hPa和地面环流形势进行统计分析,发现深圳市前汛期大暴雨过程多由西风带系统引起,占总数的77%。4～6月均可出现大暴雨,6月份最多,4月份次多,5月份最少。深圳前汛期西风带系统大暴雨过程按天气形势特征分为锋面低槽和暖区两类,其中锋面低槽类又分东北低涡(低槽)型和西南低涡型。     

新旧观测标准统计的灰霾时空分布特征对比

通过对比分析新旧观测标准下广东灰霾时空分布特征,认为新标准下霾日的分布与变化较旧标准更为合理,进一步说明了广东霾日的变化趋势与广东的经济发展及大气环境质量的变化是相关的。建议：由于灰霾观测新标准中仍然存在需人为判断的区域,若在新标准中引入大气气溶胶浓度观测数据,从本质上将灰霾与轻雾和雾区分,将更加有利于灰霾的统计和分析,有利于标准的推广和普及。     

广东省1999—2013年雷电活动特征的分析

以1999—2013年广东省雷电定位资料作为数据来源,采用数理统计方法、Sql server数据库技术和GIS技术,统计分析雷电时空分布特征。研究表明,全省雷电活动频繁,规律性强,每年有数百万次雷电发生,具有明显的区域性特征。以广州为中心的珠三角区域和湛江局部地区雷电密度分布密集,粤东和粤西则分布相对稀疏,全省平均雷电密度为16.25次/(km2·年),其中广州最高,达30.96次/(km2·年),韶关最小,为9.52次/(km2·年);全省平均雷电流为25.29 k A,其中珠海最高,达33.7 k A,湛江最小,为22.3 k A;月分布主要集中在5—9月,占总数的89.5%,时段分布则在午后至傍晚13:00—19:00,占总数的62.0%。闪电以负闪为主,占93.01%,正闪占6.99%。     

Downscaling climate-model output in mountainous terrain using local topographic lapse rates for hydrologic modeling of climate-change impacts

One of the challenges in using general circulation model (GCM) output is the need to downscale beyond the model’s coarse spatial grid for use in hydrologic modeling of climate-change impacts. In mountainous terrain, using elevation as a primary control on temperature and precipitation at the local scale provides the potential for topographic variables to be used to adjust climate-model output. Here, local topographic lapse rates (LTLR) were estimated from gridded climate data for the Pacific Northwest of the United States and used to downscale GCM output. Skill scores were calculated for the LTLR-downscaled climate-model output relative to an existing set of model output downscaled using the established statistical downscaling technique of localized constructed analogs (LOCA). The results indicate that the LTLR method performs well in the mountainous study region relative to the LOCA method. LTLR downscaling offers a promising method for downscaling climate-model output in regions in which elevation strongly controls climate, particularly for studying impacts of future climate change on water resources.     

中国泛华北地区冷季高架对流特征气候统计分析

本文利用常规地面、高空、区域自动站观测资料、灾害性强对流天气监测记录资料以及NCEP分析数据,对2000—2015年泛华北地区(32.5°~53.5°N、105°~135°E)冷季(除6、7、8月以外)高架对流时空分布特征、锋面环境特征以及不稳定机制进行统计分析。研究发现,泛华北地区冷季高架对流多发生于河南中北部、山东西部及河北中南部。从季节分布来看,2和11月是冷季高架对流发生最多的月份,呈"双峰型"分布特征。冷锋是引发泛华北地区冷季高架对流的主要锋面系统,约占高架对流事件总数的60%。高架对流发生时常伴随有较强的冷垫及锋面逆温,有超过半数的高架对流发生在温差超过6℃的逆温层之上。逆温层顶高多位于850hPa之上甚至能达到700hPa。高架对流发生时多伴随有20~30m·s~(-1)的0~6km强垂直风切变,这一强斜压特征有利于条件对称不稳定及其导致的高架倾斜对流的发生。经过分类与统计发现,条件对称不稳定和弱条件稳定度或近湿中性大气层结下的锋生强迫引发的较强上升运动是造成华北冷季高架对流的主要不稳定机制。     

A spatiotemporal analysis of tropical cyclone tracks in the Atlantic Basin and their relationship to El Niño-Southern Oscillation

There has been an enhanced focus on Atlantic tropical cyclone climatologies with the significant cyclones of the past decade and the associated loss of life and property. This study examines the geographic location of cyclone tracks and their relationship to El Niño-Southern Oscillation (ENSO). The average annual cyclone track latitude and longitude correlate positively with hurricane-season El Niño indices, indicating that during El Niño conditions, tropical cyclone tracks are shifted northward and eastward. June–November indices explain 11–22% and 3–11% of the variance in cyclone track latitude and longitude, respectively. Examination of the strongest and weakest El Niño years yields similar results. Higher sea level pressure over North America, a slight contraction of the Bermuda High, and a slight decrease in 500 mb heights during El Niño years helps to explain the observed northward and eastward movement of tropical cyclone tracks during El Niño years. Additionally, weaker easterly and stronger southerly winds on the western side of the North Atlantic Basin exist during El Niño years. Although future tropical cyclone track projection is beyond the scope of this research, these results may provide insight into forecast improvement and ultimately better responses for coastal communities.     

Radiative forcing by contrails

A parametric study of the instantaneous radiative impact of contrails is presented using three different radiative transfer models for a series of model atmospheres and cloud parameters. Contrails are treated as geometrically and optically thin plane parallel homogeneous cirrus layers in a static atmosphere. The ice water content is varied as a function of ambient temperature. The model atmospheres include tropical, mid-latitude, and subarctic summer and winter atmospheres. Optically thin contrails cause a positive net forcing at top of the atmosphere. At the surface the radiative forcing is negative during daytime. The forcing increases with the optical depth and the amount of contrail cover. At the top of the atmosphere, a mean contrail cover of 0.1% with average optical depth of 0.2 to 0.5 causes about 0.01 to 0.03 Wm⁻² daily mean instantaneous radiative forcing. Contrails cool the surface during the day and heat the surface during the night, and hence reduce the daily temperature amplitude. The net effect depends strongly on the daily variation of contrail cloud cover. The indirect radiative forcing due to particle changes in natural cirrus clouds may be of the same magnitude as the direct one due to additional cover.     

Application of Weibull model for redefined significant wave height distributions

It is well accepted that the parent distribution for individual ocean wave heights follows the Weibull model. However this model does not simulate significant wave height which is the average of the highest one-third of some ‘n’ (n- varies) wave heights in a wave record. It is now proposed to redefine significant wave height as average of the highest one-third of a constant number (n-constant, say,n = 100) of consecutive individual wave heights. The Weibull model is suggested for simulating redefined significant wave height distribution by the method of characteristic function. An empirical support of 100.00% is established by Χ²-test at 0.05 level of significance for 3 sets of data at 0900, 1200 and 1500 hrs at Valiathura, Kerala coast. Parametric relations have been derived for the redefined significant wave height parameters such as mean, maximum one-third average, extreme wave heights, return periods of an extreme wave height and the probability of realising an extreme wave height in a time less than the designated return period.