INSTABILITY OF SYMMETRIC TYPHOON CIRCULATION AND ADAPTIVE OBSERVATION

This study presents a new way to identify the sensitive areas for typhoon adaptive observations, that is, sensitive areas are determined by invoking the negative anomalies of moist potential vorticity (MPV). It is found that the areas of negative MPV are the symmetric instability areas and can be taken as sensitive areas for typhoon adaptive observations. Three typhoons in 2008, Nuri, Fung-wong, and Fengshen, were simulated with the help of MM5 model. It is shown that these typhoons are well simulated in the first 12 hours. Based on these investigations, the calculations of MPV are carried out sequentially. The result shows that the negative maxima of MPV are always around the typhoon eyes for all the cases, which means that the sensitive areas are also near them all the time.     

区域风能资源评价分析的动力降尺度研究

不同于以往的统计风能评估方法,本研究将动力降尺度方法应用到江苏省的风能评价分析中。利用NCEP/NCAR再分析资料与江苏省65个地面气象观测站1971～2000年的观测资料,建立了动力降尺度区域气候模式MM5V3的初始场和边界条件,用较高分辨率（水平分辨率为5 km）评估了江苏省60 m高度的风能分布,分析了动力降尺度方法在区域风能资源评估中的有效应用。结果表明,江苏省风能资源由东部沿海向西部内陆递减,以西连岛为代表的东部沿海风能资源最丰富,其次为长江三角洲地区,太湖、洪泽湖及高邮湖地区的风能资源也比较丰富,徐州市与南京市的风能资源最贫乏。分析表明,动力降尺度方法能够用较高分辨率模拟局地环流和地面风的主要分布特征,可以作为区域风能资源评价分析的有效手段。     

一种单层城市冠层模式的建立及数值试验研究

本文在引进先进的城市地表能量平衡方案 (Town Energy Balance, 简称TEB) 的基础上建立了一个单层城市冠层模式, 并对南京市典型居民区1 km2范围内的局地尺度地表能量平衡各分量进行离线模拟, 将模拟结果与同期观测值作了比对, 发现: TEB方案对城市地表能量平衡各分量的模拟效果良好, 而该方案的模拟性能受建筑物表面材料反照率取值的影响较大。在离线研究的基础上, 本文又将TEB方案成功耦合到南京大学区域边界层模式 (NJU－RBLM) 中, 作为该模式的地表能量平衡参数化方案之一, 分别选取该边界层模式中原有的地表能量平衡参数化方案SVAT (Soil－Vegetation－Atmosphere－Transfer model) 和新引入的TEB方案对冬夏两季不同个例进行模拟, 以常规近地面气温观测资料和Landsat卫星观测的地表反照率资料对模拟结果进行比较, 结果表明: TEB方案对原大气边界层模式的模拟效果有明显改善, 对近地面热力场的改善效果尤为明显, 可以很好地模拟出城市冠层中的“陷阱效应”。     

北京市1996-2007年住宅空调致冷耗能影响因素分析

 采用气象资料和经济统计资料,以北京市为例,分析了城镇住宅空调致冷耗能的影响因素。结果显示：在一定建筑设计标准下,直接影响城镇住宅空调致冷耗能的因子主要有降温强度、城镇人口数、人均住宅建筑面积和城镇家庭空调器拥有比例。总的来说,由于目前中国城市化进程的加速,城镇人口、人均住宅建筑面积、城镇空调器拥有比例在不断增加,因此,无论气候变暖或变冷,各地空调致冷耗能不可避免地在增加。在上述因子中,气候是目前为止唯一可能起到降低能耗作用的因子。对于城市化较快的北京市,由于城镇家庭空调器拥有比例的快速增长,城镇家庭空调器拥有比例这一因子对空调致冷耗能增量的贡献率普遍最大。     

近40年河北省地表干燥度的时空变化

利用河北省1970-2007年48个气象台站逐日资料, 采用Penman-Monteith模型计算潜在蒸散量, 由潜在蒸散量和降水量之比构建干燥度指数, 并采用Kriging插值法进行空间插值以分析其区域特征。结果表明:1970-1985年, 由于降水量减少和潜在蒸散量减少, 蒸散量的减少速率大于降水量的减少速率, 地表干燥度指数呈下降趋势, 潜在蒸散量的显著减少是地表干燥度下降的主要原因, 而风速和日照时数的显著降低决定了潜在蒸散量的显著下降; 1986-2007年, 由于年平均气温的显著升高, 潜在蒸散量增加, 使得地表干燥度略呈上升趋势。河北省地表干燥度高值区分布在张家口地区的桑洋盆地和坝西高原, 而低值区主要在燕山南麓低山丘陵地区的承德西南部、唐山的北部和秦皇岛中北部大部分地区。干燥度减少区域主要集中在河北省东北部至河北省西部的带状区域。     

Mesoscale Vortex Generation and Merging Process： A Case Study Associated with a Post-Landfall Tropical Depression

An observational analysis of satellite blackbody temperature (TBB) data and radar images suggests that the mesoscale vortex generation and merging process appeared to be essential for a tropical-depression-related heavy rain event in Shanghai, China. A numerical simulation reproduced the observed mesoscale vortex generation and merging process and the corresponding rain pattern, and then the model outputs were used to study the related dynamics through diagnosing the potential vorticity (PV) equation. The t...     

2007年淮河流域暴雨期间大气环流特征分析

利用NCAR/NCEP再分析资料及国家气象信息中心30年气候平均降水资料,通过动力诊断与分析手段研究了2007年6—7月发生在我国淮河流域的暴雨。结果表明,淮河流域的环流垂直结构和降水有着非常好的对应关系。暴雨期间,鄂霍茨克海阻高与乌拉尔山阻高这种双阻高形势对于淮河流域的持续降水提供了很好的条件;南亚高压高层(200 hPa)基本为正散度区,低层(850 hPa)为负散度区,上下层强烈的抽吸结构对暴雨的发生也是非常有利的条件,同时,在淮河暴雨期问,南亚高压(200 hPa)与500 hPa西太平洋副热带高压有着相向而行的移动路径;位涡对于分析冷空气的活动,有着比较清晰的意义,暴雨发生前,有明显的正位涡异常从高纬度向低纬度伸展。大气非绝热加热分析结果显示,视热源和视水汽汇两者的高值中心与相应时段暴雨中心位置一致。     

“珍珠”（0601）异常急翘路径和内核结构变化的诊断分析及数值研究

使用FY2卫星TBB资料、NCEP最终分析资料(1°×1°)和中尺度模式WRF,对0601号强台风"珍珠"的"急翘"异常转向路径和内核结构变化进行诊断分析和数值模拟。结果表明:"珍珠"移向变化与环境引导气流和位涡倾向1波分量正异常有关,"急翘"前12小时,环境引导气流向北偏转,位涡倾向1波分量正异常对应着"珍珠"移动方向变化;内核非对称结构发展与环境风垂直切变演变有关,垂直切变使得涡旋倾斜,涡旋倾斜方向出现较强的上升运动,导致"珍珠"内核偏南象限对流活动较强。     

初始场中尺度信息对暴雨预报的影响

由于观测资料分辨率与模式分辨率的不同,利用高分辨率模式对暴雨进行预报时,常规观测资料形成的初始场不能直接分辨出中尺度系统,这种中尺度系统特征的缺少可以认为是初始场的一种信息误差。利用中尺度天气分析的尺度分离方法可以提取这种中尺度信息。通过分析初始场中尺度信息的结构、演变特征及其对暴雨预报影响的机理,发现初始场中尺度信息的结构在主要雨带的对流敏感区具有明确的天气学意义,包含了有利暴雨产生的信息;其能量随时间也是增长的,特别是在积分12小时以后,能量迅速增长然后趋于稳定,超过了初始随机扰动的能量增长。利用减弱和增强初始场中中尺度信息的两种初始场作暴雨预报,其结果反映了初始场中尺度信息对暴雨预报的重要性,特别是对雨团位置和强度的预报,这些信息会直接影响暴雨的精细预报。     

Gap Filling and Quality Assessment of CO2 and Water Vapour Fluxes above an Urban Area with Radial Basis Function Neural Networks

Vertical turbulent fluxes of water vapour, carbon dioxide, and sensible heat were measured from 16 August to the 28 September 2006 near the city centre of Münster in north-west Germany. In comparison to results of measurements above homogeneous ecosystem sites, the CO₂ fluxes above the urban investigation area showed more peaks and higher variances during the course of a day, probably caused by traffic and other varying, anthropogenic sources. The main goal of this study is the introduction and establishment of a new gap filling procedure using radial basis function (RBF) neural networks, which is also applicable under complex environmental conditions. We applied adapted RBF neural networks within a combined modular expert system of neural networks as an innovative approach to fill data gaps in micrometeorological flux time series. We found that RBF networks are superior to multi-layer perceptron (MLP) neural networks in the reproduction of the highly variable turbulent fluxes. In addition, we enhanced the methodology in the field of quality assessment for eddy covariance data. An RBF neural network mapping system was used to identify conditions of a turbulence regime that allows reliable quantification of turbulent fluxes through finding an acceptable minimum of the friction velocity. For the data analysed in this study, the minimum acceptable friction velocity was found to be 0.15 m s⁻¹. The obtained CO₂ fluxes, measured on a tower at 65 m a.g.l., reached average values of 12 μmol m⁻² s⁻¹ and fell to nighttime minimum values of 3 μmol m ⁻² s⁻¹. Mean daily CO₂ emissions of 21 g CO₂ m⁻²d ⁻¹ were obtained during our 6-week experiment. Hence, the city centre of Münster appeared to be a significant source of CO₂. The half-hourly average values of water vapour fluxes ranged between 0.062 and 0.989 mmol m⁻² s⁻¹and showed lower variances than the simultaneously measured fluxes of CO₂.