2008年8月1~2日滁州特大暴雨双多普勒雷达三维风场反演试验的初步结果

受“凤凰”低压和冷空气共同影响, 2008年8月1~2日安徽省东部和江苏西部部分地区出现大雨, 局部地区暴雨到特大暴雨。滁州和全椒24 h雨量分别为429 mm和414 mm, 此次特大暴雨具有局地性和降水强度大的特点。使用南京和马鞍山双多普勒雷达时间同步观测资料, 对此次暴雨的三维风场进行反演, 在此基础上, 研究了暴雨的三维风场结构。由雷达回波分析可知, 此次暴雨是由β中尺度对流系统造成的, 在β中尺度对流系统内部还有γ中尺度对流单体, 对流单体发展非常旺盛。中低层切变线自西向东移入降水区后, 在该地区停留较长时间, 加之有充足的水汽供应, 造成了局地特大暴雨。在垂直剖面内, 对流系统发展旺盛, 强降水区上空回波较强且对应着较强的上升气流区, 而在强回波中心区的两侧均有下沉气流。当切变线减弱并移出降水区后, 强降水停止。     

CINRAD／SC天气雷达系统“太阳法标校”数据修正研究

提出CINRAD／SC天气雷达系统的“太阳法标校”数据中合有比较明显的随机误差分量,建议这类数据不宜直接作为调整天线电轴空间指向读数的依据。通过对CINRAD／SC天气雷达系统“太阳法标校”数据生成步骤的分析结果表明：引起“太阳法标校”数据误差的主要因素是“时间错位”。根据这种“时间错位误差”的产生原理,提出了消除这类误差的方法和步骤,并给出了相应的计算公式。以“时间错位误差”修正后的“太阳法标校”数据作为依据来调整天线电轴指向,将有助于新一代天气雷达系统定向精确度的提高。     

Changes in the Tropical Cyclone Genesis Potential Index over the Western North Pacific in the SRES A2 Scenario

The Tropical Cyclone Genesis Potential Index (GPI) was employed to investigate possible impacts of global warming on tropical cyclone genesis over the western North Pacific (WNP). The outputs of 20th century climate simulation by eighteen GCMs were used to evaluate the models’ ability to reproduce tropical cyclone genesis via the GPI. The GCMs were found in general to reasonably reproduce the observed spatial distribution of genesis. Some of the models also showed ability in capturing observed temporal vari...     

新疆一次强飑线过程双多普勒雷达观测的中尺度风场结构分析

利用新疆乌鲁木齐和五家渠的双多普勒雷达同步观测资料与双多普勒雷达风场反演技术,结合多种气象资料(1 min间隔的地面自动站资料、探空资料和NCEP再分析场资料等),综合分析了2005年6月26日新疆乌鲁木齐附近一次强飑线过程。其流场特征是低层存在明显的辐合线,中层辐合,高层辐散。中低层的风场辐合使旧回波右侧(西南侧)一定距离处依次生成新回波并与旧回波合并,对流单体间的辐合线促使其迅速合并,是飑线发展的重要原因。对流单体间的合并是从中层开始的,然后扩展到低层。在低层对流单体合并后,飑线前部有一明显的辐合线,入流区、大的回波强度梯度区和弱回波区非常明显;同时,不同发展阶段的风场配置有明显的不同,上升气流和下沉气流在多单体风暴中同时存在。本次飑线过程中低层是东南风的入流气流,与对流带后部的西北风气流相遇后向上倾斜上升,在中高层形成飑前砧状云,这与国内外中纬度飑线的结构基本一致,但本次飑线过程只有前缘强烈的对流区,没有尾随的层状云降水。自动气象站、多普勒雷达及其反演的风场很好地揭示了该飑线的发生、发展、爆发过程及其回波和风场的空间结构特点。     

用二步变分法反演的单多普勒雷达 风场研究中尺度暴雨

采用二步变分法反演多普勒雷达风场来研究中尺度暴雨过程.首先采用多元最优插值方法将常规探空资料插值生成初始风场,在此基础上在不考虑背景场约束以及三维风场平滑量约束的条件下极小化目标函数,反演出的三维风场作为最终反演所需的背景场,然后再进行反演得到最终的三维风场.将最终反演结果与WRF模式模拟的结果进行对比检验,两者的一致表明此方法具有一定的可用性,并用得出的结果分析了2005年6月发生在江苏中部的一次中尺度暴雨过程,初步揭示了强降水中心形成的原因,印证了采用二步变分法反演多普勒雷达风场可以揭示出中小尺度降水的特征.     

江苏 80 m高度风能评估方法探讨

80 m轮毂高度风能评估关键问题之一是风随高度的变化规律研究,目前以最小二乘法、常规常参数方法最具代表性,但两者对高空风能的评估结论差异可能较大。使用幂常数指数方案,江苏省80 m高空陆上风能储量达到7.39×10¹⁰W,可开发量为0.59×10¹⁰W,而使用最新的最小二乘技术对江苏省80 m高空风能评估表明,陆上风能储量达到13.54×10¹⁰W,可开发能量为1.07×10¹⁰W,全省陆上和近海的可开发风能储量可达到4.29×10¹⁰W,约为常规常参数方法计算结果的1.8倍。两种高空风能的评价结果均表明,江苏省风能资源丰富,沿海地区和近海具有巨大的风能储量,有很大的开发利用前景。     

Edge Flow and Canopy Structure: A Large-Eddy Simulation Study

Sharp heterogeneities in forest structure, such as edges, are often responsible for wind damage. In order to better understand the behaviour of turbulent flow through canopy edges, large-eddy simulations (LES) have been performed at very fine scale (2 m) within and above heterogeneous vegetation canopies. A modified version of the Advanced Regional Prediction System (ARPS), previously validated in homogeneous conditions against field and wind-tunnel measurements, has been used for this purpose. Here it is validated in a simple forest-clearing-forest configuration. The model is shown to be able to reproduce accurately the main features observed in turbulent edge flow, especially the “enhanced gust zone” (EGZ) present around the canopy top at a few canopy heights downwind from the edge, and the turbulent region that develops further downstream. The EGZ is characterized by a peak in streamwise velocity skewness, which reflects the presence of intense intermittent wind gusts. A sensitivity study of the edge flow to the forest morphology shows that with increasing canopy density the flow adjusts faster and turbulent features such as the EGZ become more marked. When the canopy is characterized by a sparse trunk space the length of the adjustment region increases significantly due to the formation of a sub-canopy wind jet from the leading edge. It is shown that the position and magnitude of the EGZ are related to the mean upward motion formed around canopy top behind the leading edge, caused by the deceleration in the sub-canopy. Indeed, this mean upward motion advects low turbulence levels from the bottom of the canopy; this emphasises the passage of sudden strong wind gusts from the clearing, thereby increasing the skewness in streamwise velocity as compared with locations further downstream where ambient turbulence is stronger.     

Upgrades to the Boundary-Layer Scheme in the Met Office Numerical Weather Prediction Model

Recent upgrades to the boundary-layer scheme in the UK Met Office operational global Numerical Weather Prediction model are documented. These comprise a reduction in turbulent mixing in stable conditions over the sea, and the inclusion of non-local momentum mixing in convective conditions. The dependence of low-level winds on changing stability is shown to have been significantly improved. Crucially, it is also found that these improvements in local performance have been achieved without degrading the model skill in terms of synoptic evolution—something that has proved difficult to achieve in the past in many operational models. In fact some aspects of the large-scale flow (e.g. zonal mean winds) have been slightly improved.     

1951-2005年鞍山冬季气温变化分析

根据1951--2005年鞍山逐月气温资料,采用线性增长率、小波分析与滑动平均等方法对鞍山冬季气温进行分析。结果表明：近55a来鞍山冬季气温呈明显上升趋势;冬季平均气温变化具有明显的阶段性和突变性特征,存在15、8a和5a的主要周期。     

青藏高原植被指数最新变化特征及其与气候因子的关系

利用GIMMS/NDVI(全球库存模拟和影像研究/归一化植被指数,Global Inventory Modeling and Mapping Studies,Normalized Difference Vegetation Index)和MODIS/NDVI遥感数据以及青藏高原6个气象代表站的站点数据,结合多种统计和计算方法,分析了青藏高原植被NDVI变化规律及其影响因子。结果表明:1982~2013年青藏高原多年平均植被NDVI的空间分布存在明显的区域差异,总体上呈从东南向西北递减的趋势,而且发现不同地区植被的时间变化规律也不尽相同。根据高原长势最好的6~9月植被NDVI进行经验正交分解,将青藏高原植被分为5个区,并进一步分析了不同分区内植被的变化规律,得出:青藏高原植被NDVI下降最明显的区域在二区的噶尔班公宽谷湖盆地地区和北羌塘高原地区,植被NDVI上升最明显的区域在四区的祁连山东部地区。为了探讨青藏高原不同分区内影响植被NDVI下降的因子,从青藏高原二区、四区、五区各选取NDVI处于下降趋势的两个代表站点。研究分析了各个站点植被NDVI与降水量、平均气温、平均最低气温、平均最高气温、日照百分率5个气象因子的关系,得出:在高原二区日照强度是其它分区的两倍左右,而降水量相对较少导致植被NDVI降低。高原四区由于降水量小、温度高、日照强,导致植被NDVI处于下降趋势;在青藏高原五区虽然降水充足,但日照较弱,限制了植被的正常成长导致NDVI处于下降趋势中;其结果为高原植被退化机制研究及高原植被对大气反馈等奠定了基础。