华南及邻近海域夏季深对流活动气候特征

利用具有较高时空分辨率与很好时空完整性的11年(1996—2007年，无2004年)6—8月静止卫星数字红外云图和TBB资料，给出了华南及邻近海域夏季深对流活动气候分布特征，并同文献中给出的雷暴日分布和闪电分布进行了对比分析。结果表明，华南及邻近海域夏季深对流活动有5个活跃中心，其月变化特征与大尺度环流背景密切相关。6月华南陆地区域深对流活动较活跃，7、8月南海海域深对流活动较活跃。华南及邻近海域深对流活动具有间歇性发展特征，其周期大约为3～5候，但华南海岸线附近为海陆过渡区域，深对流活动持续比较活跃且间歇性特征不突出；深对流活动旬与候变化特征表明华南陆地区域和南海海域深对流活动呈现反相关变化趋势。深对流活动的日变化特征显示该区域陆地与海洋、山地与盆地的热力差异所导致的海陆风环流与山谷风环流使得华南海岸线附近区域的深对流活动具有午后向陆地传播、午夜后向海洋传播的特征，山地与盆地的深对流活动具有显著的午夜后向盆地传播的特征。深对流活动日变化特征还表明该区域不仅具有一般热对流、海洋深对流和双峰型深对流等多种类型对流活动，且两广海岸线邻近区域具有持续时间长、日变化较不显著的海岸线深对流和其它天气系统触发和维持的深对流。     

冬季黑潮延伸体异常增暖对东亚夏季风影响的数值试验

利用NCAR CAM3全球大气环流模式数值试验，研究了冬季黑潮延伸体的海温异常增暖对东亚夏季风的影响。结果表明，冬季黑潮延伸体海温异常增暖将导致东亚夏季风增强北推。表征夏季风强度的EASMI（the East Asian Summer Monsoon Index）和LSTDI（the Land-Sea Thernal Difference Index）在夏季风爆发后都呈现了明显的增强趋势，且LSTDI对海温异常增暖的响应更为敏感。华北、南海和菲律宾以东的低空西南季风显著增强，副热带西风急流轴以北（南）西风加强（减弱）。日本群岛及周边海域和中国东部长江以南至秦岭一线的降水明显减少；华北、南海、东海、黄海和菲律宾以东的西太平洋上的降水增多。华北是东亚夏季风对黑潮延伸体的海温异常响应最敏感的区域。东亚地区近地面温度表现为一致的增温特征，而30～50 °N之间对流层的整体升温导致了海陆热力差异的加大，这是促使东亚夏季风增强的重要原因。中国及周边地区环流和降水异常分布和西北太平洋副热带高压增强北抬有关。     

夏季西北太平洋台风生成数的敏感性因子

比较了台风生成参数中各因子与西北太平洋7-9月台风生成数(WNPSTYN)的相关关系,也比较各因子在北半球台风主要源区的纬向距平分布特征,发现涡度因子与WNPSTYN的关系最好,在台风生成条件中相对富有但不特别富足的特性决定了其是WNPSTYN年际变化的敏感性因子.同时还分析了西北太平洋关键区涡度因子年际变化的来源和表征台风生成数的优越性,发现关键区涡度因子年际变化与南方涛动、南极涛动和澳洲东部高度场的年际变化有关,体现了南半球两大系统和ENSO对WNPSTYN的影响；涡度因子与WNPSTYN的显著相关区与台风生成源地集中区一致,表征台风年际变化有明显的优越性.这些特性对关于WNPSTYN的影响机制研究和气候模式模拟有非常重要的意义.     

Analysis of the Characteristics of Turbulent Flux and Its Footprint Climatology at An Agricultural Site

Based on quality controlled data from eddy covariance system and automatic weather station collected at Guantao farmland site from 2008 to 2010, the characteristics of diurnal, seasonal and annual variations of turbulent flux were reported. The corresponding source areas of flux measurement at different temporal scales were analyzed in detail, using arithmetic-averaged and flux-weighted footprint climatology calculation method, respectively. The main findings are as follows. Firstly, sensible heat and latent heat flux both show consistent diurnal variation throughout the year, while CO₂ fluxes only have significant diurnal variation in growing season with an opposite trend. The seasonal variation of the turbulent flux is mainly affected by the crop type and its growth status in different phenological periods. During growing season, latent heat flux and CO₂ flux are the dominant flux exchange items whose value are significantly higher in their middle growth stage than other ones during which latent heat and CO₂ flux exchange of the summer corn is stronger than winter wheat. Secondly, with combined effects of wind, turbulence and surface condition, the source area of flux measurement change most significantly at daily scale, less obvious at seasonal scale and smallest at annual scale. Finally, compared with arithmetic-averaged footprint climatology method, flux-weighted footprint climatology is a more reasonable method to calculate the source areas of the flux measurement, in that they account for the time change of the actual turbulent flux. The arithmetic-averaged results are most likely to overestimate the size of source area during small observed flux due to its weak turbulent exchange.     

On the Characteristics of Heavy Multiple-Day Snowfalls in the Eastern Alps

Based on the daily fresh-snowrecordings of a set of 81 stations of the AustrianHydrographic Service, covering a 19-year period,various aspects of extraordinarily long-lasting severesnowfalls are investigated. Starting from an exactdefinition of periods of Heavy Snowfall Events (HSE),some of the discussed items include the annual andseasonal frequencies of intense snowfall episodes, thelocation and migration paths of the storm centers andthe volume of snow dropped by the individual storms.Another part of the study, designed to visualize thebig variability of snow-related parameters over Alpineterrain, determines for all involved sites maximalobserved and theoretical extreme fresh-snowaccumulations for periods of variable length. Heavythree-day snowfall events are analyzed with specialregard of the resulting avalanche threat.     

Seasonal Variability of Northern Hemisphere Snow Extent Using Visible Satellite Data

In this paper we use a satellite‐derived data set to explore spatial and temporal variations of snow extent across Northern Hemisphere continents during the last three decades. These weekly visible‐wavelength satellite maps of Northern Hemisphere snow extent produced by the National Oceanic and Atmospheric Administration constitute the longest consistently‐derived satellite record of any environmental variable. We document the considerable intra‐annual variability of snow extent, and show that during each month, fluctuations over relatively small areas are responsible for the majority of the year‐to‐year variability. Regions that cover less than 6% of Northern Hemisphere lands north of 20°N explain 62% Ã Â Ã Â 92% of the interannual variance across the continents. On average, snow was more extensive across both Eurasia and North America from the 1970s to middle 1980s than during the late 1980s to late 1990s. During late winter, spring and summer, snow extent has decreased since the middle 1980s, while during fall to middle winter, snow extent has remained relatively constant. Accurate information on continental snow extent is critical for weather and hydrologic forecasting; for understanding hemispheric‐scale atmospheric circulation, thermal variations, and regional snow extent; and for using snow as a credible indicator of climate variability and change.     

北京雷暴大风气候特征及短时临近预报方法

北京地区雷暴大风的预报准确率低而且时效短.为了提高对这种灾害性天气的预警能力,在气候统计的基础上,研究了潜势预报方法和临近预报算法.对1998-2007年134个雷暴大风过程的统计结果表明,北京地区绝大多数的雷暴大风具有下击暴流特征,而且冰雹的落区附近也是大风的爆发区之一.因此,负浮力的作用和对冰雹具有指示性意义的因子是研究雷暴大风预报方法应主要考虑的因素.500hPa环流背景分析表明,尽管绝大多数雷暴大风爆发时对流层中层有干空气侵入,但是还有少数个例产生在偏南暖湿气流中.目前,对后一类大风产生的机制仍然不清楚.研究表明,当对流层中层有干空气侵入时,有利于雷暴大风出现的环境条件是:下沉气流具有较大的不稳定性,同时对流层低层环境大气的温度直减率较大.此外,还讨论了经验指数--大风指数在北京地区的应用.基于上述的研究,形成了北京地区雷暴大风短时潜势预报方法,还使用相关分析和多元回归分析技术建立了基于雷达观测和环境条件的雷暴大风临近预报方程.个例分析表明,临近预报方程对于飑线和弓形回波等带来的地面大风具有一定的预报能力.     

Differences between CMIP6 and CMIP5 Models in Simulating Climate over China and the East Asian Monsoon

We compare the ability of coupled global climate models from the phases 5 and 6 of the Coupled Model Intercomparison Project(CMIP5 and CMIP6, respectively) in simulating the temperature and precipitation climatology and interannual variability over China for the period 1961–2005 and the climatological East Asian monsoon for the period1979–2005. All 92 models are able to simulate the geographical distribution of the above variables reasonably well.Compared with earlier CMIP5 models, current CMIP6 models have nationally weaker cold biases, a similar nationwide overestimation of precipitation and a weaker underestimation of the southeast–northwest precipitation gradient, a comparable overestimation of the spatial variability of the interannual variability, and a similar underestimation of the strength of winter monsoon over northern Asia. Pairwise comparison indicates that models have improved from CMIP5 to CMIP6 for climatological temperature and precipitation and winter monsoon but display little improvement for the interannual temperature and precipitation variability and summer monsoon. The ability of models relates to their horizontal resolutions in certain aspects. Both the multi-model arithmetic mean and median display similar skills and outperform most of the individual models in all considered aspects.     

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。     

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%。