城市和森林空气负离子浓度与气象环境关系的通径分析

气象环境与负氧离子浓度关系存在很多的不确定性。利用宿迁市城市和森林区一年负离子观测资料和气象观测资料,使用通径分析方法,结果表明空气负氧子浓度会随着时间、环境的改变而有所不同,森林区的空气负离子浓度要高于城市区,而且这种负离子浓度的差异在夏、秋季节更为明显。气象环境中总云量、平均风速和日照百分率同城市和森林空气负离子浓度相关性不显著。日平均水汽压既是对大气负离子浓度作用最大的直接因子,也是最大的间接因子;日平均气温对城市和森林区负离子浓度具有仅次于平均水汽压的直接效应。城市区和森林区气象要素对负离子浓度的剩余通径系数达到0．8以上,表明气象因子对大气负离子浓度的影响较轻,环境中可能存在影响空气负离子浓度的其他重要因素。     

基于CLM4.5模式的季节冻土区土壤参数化方案的模拟研究

利用位于季节冻土区的中国科学院那曲高寒气候环境观测研究站那曲/BJ观测点的野外观测数据,通过CLM4.5的单点模拟实验,分析评估了Luo土壤热导率参数化方案、Johansen土壤热导率参数化方案、Coté土壤热导率参数化方案和虚温参数化方案对土壤温、湿度的模拟能力,为将来选取最优的参数及参数化方案来更合理的模拟青藏高原土壤冻融过程为目的的工作提供依据。结果表明:(1)三种土壤热导率参数化方案模拟结果的土壤热传导率有明显差异,其中Coté方案的土壤热传导率最高,Luo方案的土壤热传导率最低。(2)三种热传导率方案均能合理地模拟出土壤温湿度的日变化趋势,Johansen方案对土壤温度年变化趋势模拟的更好,Coté方案对土壤温度模拟的数值较观测值偏离的更小,Luo方案对土壤湿度的模拟更好。(3)加入虚拟温度方程,并引入相变效率参数后,减少了模式对土壤湿度模拟的负偏差,Y-L方案在保持土壤温度较好模拟能力的基础上,能够进一步的提升土壤湿度的模拟能力。     

大风条件下城市冠层流场模拟

发展了基于k-ε湍流闭合方法的城市冠层流场模式,建筑群采用多孔介质来表示,对气流的阻力以形式阻力来描述,采用该模式模拟北京市一个小区的流场,并将模拟结果与北京325 m气象塔观测资料进行比较,结果表明:在大风情况下,计算风廓线与观测拟合风廓线比较吻合.该模式可以用于大风条件下城市冠层流场的模拟.     

基于集合卡尔曼滤波的土壤温湿度同化试验

以通用陆面模式CLM 3.0(Community Land Model 3.0)为模型算子,基于集合卡尔曼滤波(Ensemble Kalman Filter,En KF)发展了一个土壤温湿度同化系统,主要用于改进模式对土壤温湿度和地表水热通量的模拟精度,并考察集合样本数、同化频率及不同观测量的组合对同化效果的影响。该系统同化了FLUXNET两个站点(阿柔和Bondville)不同土壤深度、不同时间频率的土壤温度和湿度数据。通过对阿柔站不同集合样本数的设计,综合考虑计算成本和计算精度,最终将集合样本数设置为40。通过分析三种同化方案对同化频率的敏感性得出,同化土壤温度最为敏感,同时同化土壤温湿度次之,同化土壤湿度最不敏感。对于阿柔站点,同化系统对不同土壤深度温度和湿度的模拟精度均能提高90%,潜热通量的均方根误差由94.0 W·m~(-2)降为46.3 W·m~(-2),感热通量均方根误差由55.9 W·m~(-2)降为24.6 W·m~(-2)。Bondville站点浅层土壤温度的改进在30%左右,深层土壤温度改进达到60%,对土壤湿度的改进均在70%以上,潜热通量和感热通量的均方根误差分别从57.4 W·m~(-2)和54.4 W·m~(-2)降为51.0 W·m~(-2)和42.5 W·m~(-2)。试验结果表明,同化站点土壤温湿度数据对土壤水热状况及通量的模拟改进非常有效,同时也验证了同化土壤水分遥感产品的可行性和必要性。     

Spatial patterns of Tropospheric Biennial Oscillation and its numerical simulation

In order to investigate the spatial patterns of the Tropospheric Biennial Oscillation （TBO） on the global scale, the Climate Prediction Center （CPC） Merged Analysis of Precipitation （CMAP） monthly averaged precipitation and the Climate Diagnostics Center （CDC） monthly outgoing long-wave radiation （OLR） and SST are used in conjunction with TBO bandpass-filtering. The results indicate active biennial variability in the tropical eastern-central Pacific regions. It is evident that observations reflect the biennial component of the ENSO rather than the TBO itself. Since some studies have pointed out that the TBO is a broad-scale phenomenon differing from the ENSO, to investigate the pure TBO the ENSO signal must be excluded. The Scale Interaction Experiment-FRCGC （SINTEX-F） coupled general circulation model （CGCM） developed at Japan Frontier Research Center for Global Change （FRCGC） can capture both the ENSO and the biennial signals. Air-sea interactions in the tropical eastern-central Pacific are decoupled to eliminate the effects of ENSO in a experiment by SINTEX-F and the results show that biennial variability still exists even without ENSO. It seems to mean that the TBO and ENSO are independent from each other. Furthermore, the model results indicate that the two key regions are southwest Sumatra and the tropical western Pacific for the TBO cycle.     

人体舒适度指数

人体舒适度指数是为了从气象角度来评价在不同气候条件下人体的舒适感，根据人体与大气环境之间的热交换而制定的生物气象指标。 人体的热平衡机能、体温调节、内分泌系统、消化器官等人体的生理功能受到空气温度、湿度、气压、光照、风等多种气象要素的综合影响。实验表明：当气温适宜时，湿度对人体的影响不太明显。     

Atmospheric Environmental Capacity of SO2 in Winter over Lanzhou in China： A Case Study

The total emission control method based on atmospheric environmental capacity is the most effective in air pollution mitigation. The atmospheric environmental capacities of SO2 on representative days over Lanzhou are estimated using the numerical models RAMS, HYPACT and a linear programming model, according to the national ambient air quality standard of China （NAAQSCHN）. The results show that the fields of meteorological elements and SO2 simulated by the models agree reasonably well with observations. The atmospheric environmental capacity of SO2 over Lanzhou is around 111.7 × 10^3 kg d^-1, and in order to meet the air quality level Ⅱ of the NAAQSCHN, SO2 emissions need to be reduced by 20%.     

近海层大气湍流通量系数研究

根据１９９４年９月１８～３０日南沙群岛海域渚碧礁的近海面大气湍流观测实验资料,分别计算了该海域光滑海面和粗糙海面上的空气动力粗糙度（ｚ０ ）、中性曳力系数（ Ｃ Ｄ Ｎ）。利用 Ｂｕｔｓａｅｒｔ 的假定,推导了求取标量粗糙度（ｚ Ｔ、ｚ Ｑ）、整体输送系数（感热交换系数 Ｃ Ｈ Ｎ、水汽交换系数 Ｃ Ｅ Ｎ ）的一组公式。在此基础上,分别计算和分析了该海域光滑海面和粗糙海面上空气动力粗糙度（ｚ０ ）、标量粗糙度（ｚ Ｔ、ｚ Ｑ ）、中性曳力系数（ Ｃ Ｄ Ｎ）、整体输送系数（感热交换系数 Ｃ Ｈ Ｎ、水汽交换系数 Ｃ Ｅ Ｎ）及其关于水平风速分量的分布,并得到了一些有益的结论。     

2007年3月3—5日强雨雪过程中的干冷空气活动及其作用

利用FY-2卫星资料、多普勒雷达资料、地面观测站常规资料及1°×1°NCEP/NCAR再分析资料,运用红外云图云顶亮温TBB、等熵位涡IPV、水汽通量、位温θ、相对湿度及风场等物理参量对北方晚冬一次强雨雪过程的水汽来源和干冷空气活动及其作用进行了分析。结果表明：江淮气旋为强雨雪的产生提供充沛的水汽,而干冷空气则在不同高度、不同路径活动,扮演着多种角色。对流层低层干冷空气作为“冷垫”锲入暖湿气流中,促进锋生和暖湿空气的抬升、凝结;对流层上层具有高位涡的干冷空气沿320 K等熵面（等位温面）自高纬冲下,给江淮气旋的加强、维持提供了动力和热力条件,同时等熵正位涡高值区（IPV≥10-6m2.s-1.K.kg-1）和相对湿度小于等于45%的干区与红外云图暗区（TBB≥-32℃）对应得非常吻合,这说明利用卫星资料来追踪高位涡轨迹的可行性。云头部次冷输送带干冷空气在2-3 km高度卷入、叠加在暖湿层上,有利于不稳定层结的形成和不稳定能量的释放,是造成渤海西岸局部大到暴雪天气的重要因素。     

Effects of Street-Bottom and Building-Roof Heating on Flow in Three-Dimensional Street Canyons

Using a computational fluid dynamics(CFD)model,the effects of street-bottom and building-roof heating on flow in three-dimensional street canyons are investigated.The building and street-canyon aspect ratios are one.In the presence of street-bottom heating,as the street-bottom heating intensity increases,the mean kinetic energy increases in the spanwise street canyon formed by the upwind and downwind buildings but decreases in the lower region of the streamwise street canyon.The increase in momentum due to buoyancy force intensifies mechanically induced flow in the spanwise street canyon.The vorticity in the spanwise street canyon strengthens.The temperature increase is not large because relatively cold above-roof-level air comes into the spanwise street canyon.In the presence of both street-bottom and building-roof heating,the mean kinetic energy rather decreases in the spanwise street canyon.This is caused by the decrease in horizontal flow speed at the roof level,which results in the weakening of the mean flow circulation in the spanwise street canyon.It is found that the vorticity in the spanwise street canyon weakens.The temperature increase is relatively large compared with that in the street-bottom heating case,because relatively warm above-roof-level air comes into the spanwise street canyon.