基本气流的垂直切变作用下的低纬低频波

在低纬地区,风速的垂直切变也是很明显的,作者解释了这些纬向气流的垂直切变对低纬长波性质以及对不同模态的相互作用的影响,并且发现切变对低纬波动的影响具有明显的选择性.     

风云2号卫星云图在短时强对流天气预报中的应用

利用风云2号水汽通道的云图进行强对流天气的临近预警，发现每小时1次的风云2号云图对强对流天气有着重要指示作用，尤其水汽图反映了大气中上层的水汽分布，水汽区的活动、干湿区边界、暗区等都与强对流的发生发展有着密切关系，并找出了可以作为临近预警的关键指标，在2003年的几次强对流天气预报中，风云2号云图发挥了很好的作用。     

基于卫星遥感图象纹理特征的云类识别方法及软件设计

介绍了基于卫星遥感资料,运用纹理学识别云类的原理、方法及软件设计。理论与实际分析表明,不同的云类对纹理敏感,纹理特征量是识别云类的良好因子,软件设计充分考虑了模块化,可视化与交互性。     

风切变对飞行的影响及其预报时效分析

利用NCEP再分析资料和AMDAR资料,对2008年11月1日首都机场冷锋过境前后风切变现象及其可预报时效进行分析。分析认为:在冷锋过境前后,首都机场存在多种形式的风切变,有高空槽前后的水平风切变、高层和中层急流轴引起的水平风切变、冷锋前逆温层顶上下的水平风切变和地面锋面过境时跑道面上的水平和侧风切变。对各种风切变的可预报时效进行了分析。     

台风灿鸿造成浙江东北部大暴雨地形作用的数值模拟研究

利用中尺度非静力数值模式WRF V3.6.1对台风灿鸿(1509)进行了高分辨率数值模拟,模式较好地再现了台风灿鸿的发展演变过程和在浙江东北部产生的强降水。观测资料显示台风接近浙江期间,在东北气流下,浙东北地形的摩擦辐合及抬升作用使得大量的对流云团汇集在台风西北侧,对流系统活跃,是浙江东北部产生强降水的重要原因。控制试验也模拟出了在台风接近陆地时,内核区西北侧存在有组织的、切向分布的小尺度对流系统,由地形强迫产生的降雨量和地形走向一致,迎风坡降雨量增加。通过升降地形,改变土地类型和将杭州湾水体用陆地替换等敏感性试验发现:(1)地形的影响对台风降雨量的增幅最为明显。通过降低地形,台风西北侧小尺度雨带明显减弱,浙江东北地区降水也明显减少。可见地形会影响这些中小尺度系统的结构和演变,引起降水异常变化。(2)大暴雨期间,台风一直维持较强的对称性,具有典型的眼墙和暖心结构。     

Impact of Cloud Microphysical Processes on the Simulation of Typhoon Rananim near Shore. Part II: Typhoon Intensity and Track

The impact of cloud microphysical processes on the simulated intensity and track of Typhoon Rananim is discussed and analyzed in the second part of this study. The results indicate that when the cooling effect due to evaporation of rain water is excluded, the simulated 36-h maximum surface wind speed of Typhoon Rananim is about 7 m s⁻¹ greater than that from all other experiments; however, the typhoon landfall location has the biggest bias of about 150 km against the control experiment. The simulated strong outer rainbands and the vertical shear of the environmental flow are unfavorable for the deepening and maintenance of the typhoon and result in its intensity loss near the landfall. It is the cloud microphysical processes that strengthen and create the outer spiral rainbands, which then increase the local convergence away from the typhoon center and prevent more moisture and energy transport to the inner core of the typhoon. The developed outer rainbands are supposed to bring dry and cold air mass from the middle troposphere to the planetary boundary layer (PBL). The other branch of the cold airflow comes from the evaporation of rain water itself in the PBL while the droplets are falling. Thus, the cut-off of the warm and moist air to the inner core and the invasion of cold and dry air to the eyewall region are expected to bring about the intensity reduction of the modeled typhoon. Therefore, the deepening and maintenance of Typhoon Rananim during its landing are better simulated through the reduction of these two kinds of model errors.     

风廓线雷达资料在暴雨天气过程特征分析中的应用

为了研究风廓线雷达在暴雨天气过程预报中的作用,对2008年6月1日至6月2日云南大理发生的一次暴雨过程进行研究。结果表明,降水前三维风的脉动变化较大,水平风在垂直方向上存在风速切变,最大探测高度明显升高;降水期间可以对降水性质进行判断;降水期间功率谱密度出现双峰谱,能测出垂直气流速度及下降粒子速度,通过这样的分析,便于开展更深层次的降水物理过程研究。     

WRF模式三维变分中背景误差协方差估计

利用WRF模式2008年5-10月逐日预报结果,通过NMC方法进行背景误差协方差(B)估计.给出其结构特征,进行单点数值试验,并利用不同B进行1个月的数值模拟试验,检验模拟降水效果.结果表明:通过单点数值试验验证估算的B结构合理.不同的B,资料同化过程差别较大,应用重新统计的B,同化效率更高,目标函数收敛更稳定.模式模...     

Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980–2004)

We assessed current status of multi-model ensemble (MME) deterministic and probabilistic seasonal prediction based on 25-year (1980–2004) retrospective forecasts performed by 14 climate model systems (7 one-tier and 7 two-tier systems) that participate in the Climate Prediction and its Application to Society (CliPAS) project sponsored by the Asian-Pacific Economic Cooperation Climate Center (APCC). We also evaluated seven DEMETER models’ MME for the period of 1981–2001 for comparison. Based on the assessment, future direction for improvement of seasonal prediction is discussed. We found that two measures of probabilistic forecast skill, the Brier Skill Score (BSS) and Area under the Relative Operating Characteristic curve (AROC), display similar spatial patterns as those represented by temporal correlation coefficient (TCC) score of deterministic MME forecast. A TCC score of 0.6 corresponds approximately to a BSS of 0.1 and an AROC of 0.7 and beyond these critical threshold values, they are almost linearly correlated. The MME method is demonstrated to be a valuable approach for reducing errors and quantifying forecast uncertainty due to model formulation. The MME prediction skill is substantially better than the averaged skill of all individual models. For instance, the TCC score of CliPAS one-tier MME forecast of Niño 3.4 index at a 6-month lead initiated from 1 May is 0.77, which is significantly higher than the corresponding averaged skill of seven individual coupled models (0.63). The MME made by using 14 coupled models from both DEMETER and CliPAS shows an even higher TCC score of 0.87. Effectiveness of MME depends on the averaged skill of individual models and their mutual independency. For probabilistic forecast the CliPAS MME gains considerable skill from increased forecast reliability as the number of model being used increases; the forecast resolution also increases for 2 m temperature but slightly decreases for precipitation. Equatorial Sea Surface Temperature (SST) anomalies are primary sources of atmospheric climate variability worldwide. The MME 1-month lead hindcast can predict, with high fidelity, the spatial–temporal structures of the first two leading empirical orthogonal modes of the equatorial SST anomalies for both boreal summer (JJA) and winter (DJF), which account for about 80–90% of the total variance. The major bias is a westward shift of SST anomaly between the dateline and 120°E, which may potentially degrade global teleconnection associated with it. The TCC score for SST predictions over the equatorial eastern Indian Ocean reaches about 0.68 with a 6-month lead forecast. However, the TCC score for Indian Ocean Dipole (IOD) index drops below 0.40 at a 3-month lead for both the May and November initial conditions due to the prediction barriers across July, and January, respectively. The MME prediction skills are well correlated with the amplitude of Niño 3.4 SST variation. The forecasts for 2 m air temperature are better in El Niño years than in La Niña years. The precipitation and circulation are predicted better in ENSO-decaying JJA than in ENSO-developing JJA. There is virtually no skill in ENSO-neutral years. Continuing improvement of the one-tier climate model’s slow coupled dynamics in reproducing realistic amplitude, spatial patterns, and temporal evolution of ENSO cycle is a key for long-lead seasonal forecast. Forecast of monsoon precipitation remains a major challenge. The seasonal rainfall predictions over land and during local summer have little skill, especially over tropical Africa. The differences in forecast skills over land areas between the CliPAS and DEMETER MMEs indicate potentials for further improvement of prediction over land. There is an urgent need to assess impacts of land surface initialization on the skill of seasonal and monthly forecast using a multi-model framework.     

石家庄市采暖期气象服务系统

在采暖期内为了做到既能让人们感到冷暖适宜，又能合理地减少采暖期内的采暖能源浪费，该文对石家庄市采暖期气象条件进行了详细分析，建立了与气象预报相结合的采暖气象服务系统，实际应用效果良好。