低温雨雪过程的粒子群-神经网络预报模型

利用逐日气温和降水量数据、NCEP/NCAR再分析资料以及预报场资料,通过分析提取我国南方区域持续性低温雨雪过程及其预报因子,使用粒子群-神经网络方法建立非线性的统计集合预报模型 (PSONN-EPM),对我国南方区域持续性低温雨雪过程进行预报试验。结果表明:以过程的冷湿程度及影响范围为标准,将低温雨雪过程分为一般过程和严重过程,并建立不同的预报模型效果较好。通过10 d独立样本预报试验看,基于粒子群-神经网络方法建立的集合预报模型比基于逐步回归方法建立的预报模型的预报平均相对误差小,对严重过程预报能力高于对一般过程预报,且这种非线性统计集合建模方法在建模过程中不需要调整神经网络参数,在实际预报业务中值得尝试。     

Assessment of the management of organizations supplying ecosystem services from tropical forests

Global environmental change leads to degradation of tropical forests in many countries. In response to this pressure, programs for payments for ecosystem services (PES) are developing and organizations are emerging which manage forests in order to supply ecosystem services, rather than only harvest timber. Typically such services are carbon sequestration, biodiversity conservation, pollination, and watershed protection. Public or private actors interested to invest in or donate money for the provisioning of such services are faced with the problem of choosing the appropriate organization supplying ecosystem services. The goal of this paper was to develop an assessment framework based on the balanced scorecard concept including drivers, impact, performance and context variables. Results of a survey of international market actors were used to determine assessment criteria and their weights. Putting the focus of this paper on drivers and impacts, we assessed Latin American organizations that “sell” ecosystem services from tropical forests in terms of their general management, marketing, forest management, client and stakeholder satisfaction, and forest ecosystem status. We found that supplying organizations vary widely with respect to their achievements in these areas. However, the variance of assessment results is influenced even more by the variance in weights the international market actors allocate to the assessment criteria. The insights of this study can contribute to the continuous improvement of management processes in supplying organizations and can support investors and donors in their decision-making with respect to organization supplying ecosystem services.     

地形作用下低空急流的演变与强降水对流风暴系统的相互作用

利用雷达、卫星、风廓线雷达和地面加密区域自动气象站等观测资料,分析了2016年入梅后发生在鄂东地区一次极端强降水事件的中尺度对流系统发生发展过程、结构演变及其传播特征,旨在揭示造成强降水过程中的3个中尺度对流系统(MCS)的触发、发展、维持机理以及它们之间内在的中尺度动力学关系,尤其是地形作用下的低空急流的演变与强降水对流风暴系统相互作用过程。研究表明:(1)与大多数梅雨锋上的强降水带与低空切变线平行分布不同,此次极端强降水雨带呈倾斜的"n"字形,其中两条主雨带近乎与低空切变线垂直;此次极端强降水分别由大别山迎风坡上西北—东南向MCS、湖北中东部平原地区西北—东南向MCS和桐柏—大洪山东侧东北—西南向MCS造成。3个MCS移动缓慢,都具有后向传播的特征。(2)大别山迎风坡上MCS初始雷暴是低空急流下边界不断向下扩展过程中在地形抬升作用下触发的,而湖北中东部平原地区的MCS和桐柏—大洪山东侧MCS的触发、发展、加强都与大别山迎风坡上MCS形成的冷池加速推进形成的出流边界与环境气流形成的强烈辐合抬升作用有关。(3)垂直于大别山的边界层西南急流对山坡上的对流冷池产生的顶托作用不仅平衡了冷池密...     

大磁暴期间TIEGCM模式和CHAMP卫星热层大气密度扰动特性的统计研究

本文统计分析了2001—2005年的39次大磁暴事件(Dst-100nT)期间TIEGCM模式和CHAMP卫星大气密度数据.研究结果表明,模式结果与实测数据具有较好的一致性,但仍存在一定的偏差.大气密度及增量与SYM-H指数相关性较好,并且随纬度、光照条件和地磁活动水平变化.模式低估了磁暴期间大气密度的增幅,特别是在地磁活动水平较强时模式与实测的偏差较大.模式的偏差在高纬地区高于低纬地区,日侧高于夜侧.Dst指数越低,偏差越大,而当Dst指数低于-150nT以后,绝对偏差和相对偏差变化不明显.     

中国西北地区1993年5月5日黑风暴的机理探讨

该文用天气学、诊断分析方法对1993年5月5日我国西部地区黑风暴天气过程的发生发展及形成机理进行研究。结果表明，这次黑风暴是由强寒潮爆发，在特定季节（春季）和裸露、疏松的下垫面（沙漠、戈壁）条件下形成的中尺度现象。在对流层中低层垂直方向上存在很强的风切变，利于湍流发展；非地转强迫作用对次级环流贡献大于地转强迫作用；黑风暴前后显著的辐射加热不均匀分布所形成的热力正反馈作用，造成近地层局地锋生，并使热力正环流大大加强。     

珠江流域暴雨天气系统与暴雨洪水特征分析

对珠江流域9场历史典型暴雨洪水的致洪天气系统、暴雨中心落区及发生时间进行统计分析,探求珠江流域各水系产生暴雨的天气系统、暴雨类型、洪水成因及发生时间的相互联系,归纳出珠江流域致洪暴雨洪水的一些基本特征规律,对于珠江流域防洪减灾具有一定参考价值。     

Application of Linear Mean-Square Estimation in Ocean Engineering

The attempt to obtain long-term observed data around some sea areas we concern is usually very hard or even impossible in practical offshore and ocean engineering situations. In this paper, by means of linear mean-square estimation method, a new way to extend short-term data to long-term ones is developed. The long-term data about concerning sea areas can be constructed via a series of long-term data obtained from neighbor oceanographic stations, through relevance analysis of different data series. It is effective to cover the insufficiency of time series prediction method’s overdependence upon the length of data series, as well as the limitation of variable numbers adopted in multiple linear regression model. The storm surge data collected from three oceanographic stations located in Shandong Peninsula are taken as examples to analyze the number-selection effect of reference oceanographic stations (adjacent to the concerning sea area) and the correlation coefficients between sea sites which are selected for reference and for engineering projects construction respectively. By comparing the N-year return-period values which are calculated from observed raw data and processed data which are extended from finite data series by means of the linear mean-square estimation method, one can draw a conclusion that this method can give considerably good estimation in practical ocean engineering, in spite of different extreme value distributions about raw and processed data.     

Upper-Tropospheric Environment–Tropical Cyclone Interactions over the Western North Pacific: A Statistical Study

Based on 25-year(1987–2011) tropical cyclone(TC) best track data, a statistical study was carried out to investigate the basic features of upper-tropospheric TC–environment interactions over the western North Pacific. Interaction was defined as the absolute value of eddy momentum flux convergence(EFC) exceeding 10 m s~(-1)d~(-1). Based on this definition, it was found that 18% of all six-hourly TC samples experienced interaction. Extreme interaction cases showed that EFC can reach~120 m s~(-1)d~(-1) during the extratropical-cyclone(EC) stage, an order of magnitude larger than reported in previous studies.Composite analysis showed that positive interactions are characterized by a double-jet flow pattern, rather than the traditional trough pattern, because it is the jets that bring in large EFC from the upper-level environment to the TC center. The role of the outflow jet is also enhanced by relatively low inertial stability, as compared to the inflow jet. Among several environmental factors, it was found that extremely large EFC is usually accompanied by high inertial stability, low SST and strong vertical wind shear(VWS). Thus, the positive effect of EFC is cancelled by their negative effects. Only those samples during the EC stage, whose intensities were less dependent on VWS and the underlying SST, could survive in extremely large EFC environments, or even re-intensify. For classical TCs(not in the EC stage), it was found that environments with a moderate EFC value generally below ~25 m s~(-1)d~(-1) are more favorable for a TC's intensification than those with extremely large EFC.     

雷暴大风环境特征及其对风暴结构影响的对比研究

2009年6月3日,受冷涡后部次天气尺度横槽的影响,在相邻的两个区域先后出现雷暴大风天气,造成两地强风的风暴类型、地面大风分布及灾害程度差异显著。风暴结构分析表明:产生晋陕大风的雷暴类型为一般单体风暴和脉冲风暴,而产生商丘致灾大风的则为典型的弓形回波。结合观测和数值模拟资料分析产生上述两类雷暴大风的环境要素,并构建其环境温、湿度廓线,结果表明:(1)晋陕大风区环境探空温、湿度廓线呈倒V形,为典型的干下击暴流探空廓线,类似探空在中国西部高原地区夏季常见;(2)商丘雷暴大风区环境温、湿度廓线类似典型湿下击暴流探空。数值模拟给出了典型的一般单体特征结构,老雷暴单体出流在其前方触发新单体。在中低层相对干的环境下多个对流单体的冷下沉形成冷池,强风由对流单体下沉辐散气流叠加在冷池密度流上造成。两类雷暴大风环境风垂直切变特点为:深层环境风垂直切变较弱、强水平风垂直切变集中在中低层。数值模拟表明:在这种风垂直切变配置下,低层湿度成为风暴结构的决定因素:中-高湿度环境下形成高度组织化的飑线,且其单体具有较强中层旋转;低湿度环境下产生组织程度差的一般单体和脉冲风暴,并基于高分辨率数值模式模拟结果给出了环境影响风暴结构的物理图像。     

一次强对流系列风暴个例的多普勒天气雷达资料分析

讨论了新一代（多普勒）天气雷达对2002年5月14日19:00至21:00影响湖南常德地区的3个对流风暴的探测情况,其中两个为超级单体,一个为飑线。观测到了与超级单体相联系的中气旋和龙卷式涡旋特征（TVS）。上述强对流系统产生了地面大风、大冰雹和龙卷等强烈天气,与雷达的探测相吻合。特别值得一提的是在中国首次探测到了三体散射（TBSS）和龙卷式涡旋特征（TVS）这两个分别指示大冰雹和龙卷的雷达回波特征,并得到了地面报告的印证。