甘肃中部降水性层状云微物理结构特征个例分析

利用机载PMS粒子探测系统对2006年8月27日甘肃省中部一次降水性天气过程进行空中观测,对云中微物理特征进行了分析。研究发现云层中小粒子对含水量的贡献较大,云层主要以平均直径小于20μm的小云滴为主。在低层云滴浓度和含水量大于上层,而平均直径小于上层,符合"播撒-供给"降水机理,云上部主要增长方式有凝华增长、淞附增长,在云下部主要增长机制是碰并增长。     

Prediction of extreme wave heights using neuro wavelet technique

Precise prediction of extreme wave heights is still an evading problem whether it is done using physics based modeling or by extensively used data driven technique of Artificial Neural Network (ANN). In the present paper, Neuro Wavelet Technique (NWT) is used specifically to explore the possibility of prediction of extreme events for five major hurricanes Katrina 2005, Dean 2007, Gustav 2008, Ike 2008, Irene 2011 at four locations (NDBC wave buoys stations)¹ namely; 42040, 42039, 41004, 41041 in the Gulf of Mexico. Neuro Wavelet Technique is employed by combining Discrete Wavelet Transform and Artificial Neural Networks. Discrete wavelet transform analyzes frequency of signal with respect to time at different scales. It decomposes time series into low (approximate) and high (detail) frequency components. The decomposition of approximate components (extreme events in the ocean wave series) can be carried out up to the desired multiple levels in order to provide relatively smooth varying amplitude series. This feature of wavelet transforms make it plausible for predicting extreme events with a better accuracy. In the present study third, fifth and seventh level of decompositions are used which facilitates 3 to 7 times filtering of low frequency events and seems to pay the dividend in the form of better prediction accuracy at extreme events. To develop these Neuro wavelet models to forecast the waves with lead times of 12 hr to 36 hr in advance, previously measured significant wave heights at same locations were used. The results were judged by wave plots, scatter plots and other error measures. From the results it can be concluded that the Neuro Wavelet Technique can be employed to solve the ever eluding problem of accurate forecasting of the extreme events.     

基于推理公式的山洪预警雨量计算方法研究

基于水科院推理公式,从山洪雨量预警需求出发,解除原公式在部分汇流中对流域面积分配曲线的矩形概化,经反演得出各典型时段临界雨量计算式;同时采用等流时方法,有效解决了计算式中最大部分汇流面积的定量问题。研究提出的预警雨量计算方法,物理概念清晰,易于理解和掌握,计算便捷,且无需水文资料,可作为现行山洪预警雨量分析计算的一种新方法。     

Evaluation of WRF-based convection-permitting multi-physics ensemble forecasts over China for an extreme rainfall event on 21 July 2012 in Beijing

On 21 July 2012, an extreme rainfall event that recorded a maximum rainfall amount over 24 hours of 460 mm, occurred in Beijing, China. Most operational models failed to predict such an extreme amount. In this study, a convective-permitting ensemble forecast system (CEFS), at 4-km grid spacing, covering the entire mainland of China, is applied to this extreme rainfall case. CEFS consists of 22 members and uses multiple physics parameterizations. For the event, the predicted maximum is 415 mm d^-1 in the probability-matched ensemble mean. The predicted high-probability heavy rain region is located in southwest Beijing, as was observed. Ensemble-based verification scores are then investigated. For a small verification domain covering Beijing and its surrounding areas, the precipitation rank histogram of CEFS is much flatter than that of a reference global ensemble. CEFS has a lower (higher) Brier score and a higher resolution than the global ensemble for precipitation, indicating more reliable probabilistic forecasting by CEFS. Additionally, forecasts of different ensemble members are compared and discussed. Most of the extreme rainfall comes from convection in the warm sector east of an approaching cold front. A few members of CEFS successfully reproduce such precipitation, and orographic lift of highly moist low-level flows with a significantly southeasterly component is suggested to have played important roles in producing the initial convection. Comparisons between good and bad forecast members indicate a strong sensitivity of the extreme rainfall to the mesoscale environmental conditions, and, to less of an extent, the model physics.     

Radiative effects on torrential rainfall during the landfall of Typhoon Fitow (2013)

Cloud microphysical and rainfall responses to radiative processes are examined through analysis of cloud-resolving model sensitivity experiments of Typhoon Fitow(2013) during landfall.The budget analysis shows that the increase in the mean rainfall caused by the exclusion of radiative effects of water clouds corresponds to the decrease in accretion of raindrops by cloud ice in the presence of radiative effects of ice clouds,but the rainfall is insensitive to radiative effects of water clouds in the absence of radiative effects of ice clouds.The increases in the mean rainfall resulting from the removal of radiative effects of ice clouds correspond to the enhanced net condensation.The increases(decreases) in maximum rainfall caused by the exclusion of radiative effects of water clouds in the presence(absence) of radiative effects of ice clouds,or the removal of radiative effects of ice clouds in the presence(absence) of radiative effects of water clouds,correspond mainly to the enhancements(reductions) in net condensation.The mean rain rate is a product of rain intensity and fractional rainfall coverage.The radiation-induced difference in the mean rain rate is related to the difference in rain intensity.The radiation-induced difference in the maximum rain rate is associated with the difference in the fractional coverage of maximum rainfall.     

黄石、大冶两邻近地区设计雨强差异的原因分析

利用水平距离约23.7 km、年降水量相近的黄石和大冶气象站多年分钟降水资料,根据相关规范,分别推算黄石、大冶两市暴雨强度公式各参数,并分析两市设计雨强存在差异的原因。结果表明:(1)根据公式推算结果,在重现期0.5~100 a黄石各历时雨强(5~120 min)均大于大冶,最大可达27.34%;(2)黄石平均年降水量略小于大冶,但最大年降水量、最大月降水量、最大日降水量、平均年暴雨日数均大于大冶的相应值;(3)对经过年多个样法选样后的降水量样本进行分析:除了第一个最大降水量的多年平均值黄石偏大,其余7个次大值大冶略大。黄石前8个最大降水量算出的标准偏差约为大冶的1.4倍。综合可见,短历时降水量的偏大是黄石设计雨强结果偏大于大冶的原因,设计雨强结果对样本的第一个最大雨量值以及标准偏差更为敏感。     

云南夏季降水量在21世纪初的突变减少及原因分析

利用1960—2013年云南125个台站观测资料和美国环境预报中心/国家大气研究中心再分析资料,以及1960—2013年美国国家海洋和大气管理局(NOAA)提供的逐月平均全球海表温度资料,分析了云南地区降水量变化的特征以及与之相关联的大气环流背景场。分析结果表明:云南降水量在2002年发生了一次显著减少的突变,而这次突变主要是由于夏季降水的明显减少而形成的。进一步的分析揭示了该地区夏季降水减少主要与印度洋热带赤道地区低层东风加强和高空西风加强有关,亚洲地区中高纬度温度的升高也对该地区夏季降水量显著减少有重要作用。     

2015年11月大气环流和天气分析

2015年11月环流特征如下：北半球极涡呈单极型分布,中高纬西风呈3波型分布,南支槽平均位置大致位于90°E附近,同时,西太平洋副热带高压较常年同期偏西、强度偏强。11月全国平均降水量39.4 mm,较常年同期偏多1.1倍;全国平均气温为4.1℃,较常年同期偏高1.2℃,但华北、东北等地气温偏低。月内共出现2次冷空气过程和4次主要降水过程,江南、华南等地部分地区雨量偏多2~3倍,多站出现极端日降水量;月内还有3次重污染天气过程。     

IMPACTS OF MONTHLY ANOMALIES OF INTRASEASONAL OSCILLATION OVER SOUTH CHINA SEA AND SOUTH ASIA ON THE ACTIVITY OF SUMMER MONSOON AND RAINFALL IN EASTERN CHINA

The impact of strong (weak) intraseasonal oscillation (ISO) over South China Sea (SCS) and South Asia (SA) in summer on the SCS and SA summer monsoon and the summer rainfall in Eastern China are studied by using the NCEP-NCAR analysis data and the rainfall data of 160 stations in China from 1961 to 2010. It is found that the impacts are significantly different in different months of summer. The study shows that in June and July cyclonic (anticyclonic) atmospheric circulation over SCS and SA corresponds to strong (weak) ISO over SCS. In August, however, strong (weak) ISO over SCS still corresponds to cyclonic (anticyclonic) atmospheric circulation over SA. In June and August cyclonic (anticyclonic) atmospheric circulation over South Asia corresponds to strong (weak) ISO over SA while a strong (weak) ISO corresponds to anticyclonic (cyclonic) atmospheric circulation over SA in July. Besides, in June the strong (weak) ISO over SA corresponds to cyclonic (anticyclonic) atmospheric circulation over SCS, while in July and August the atmospheric circulation is in the same phase regardless of whether the ISO over SA is strong or weak. The impacts of the strong（weak）ISO over SCS on the rainfall of eastern China are similar in June and July, which favors less (more) rainfall in Yangtze-Huaihe Rivers basin but sufficient (deficient) rainfall in the south of Yangtze River. However, the impacts are not so apparent in August. In South Asia, the strong (weak) ISO in July results in less (more) rainfall in the south of Yangtze River but sufficient (deficient) rainfall in Yangtze-Huaihe Rivers basin. The influence on the rainfall in eastern China in June and August is not as significant as in July.     

Error assessment of grid-based diffuse solar radiation models

Two grid-based diffuse solar radiation models, ESRI’s Solar Analyst (SA) and Kumar’s model (KM), were assessed using a data-independent approach where each model’s numerical results of clear sky diffuse radiation on V/U-shaped surfaces were compared with analytical results derived using each model’s assumptions. SA and KM consistently underestimate and overestimate, respectively, diffuse radiation at daily, seasonal, and annual scale relative to the analytical results based on each model’s parameterizations. Overall, SA performs better than KM in modeling diffuse radiation at most timescales. While SA and KM have similar error in calculating diffuse radiation on a horizontal surface, SA models sky view factor much better than KM, with mean absolute relative differences of 0.76% and 17.02%, respectively. KM has a large error in sky view factor as it does not consider the shading effect from surrounding terrain. Sky view factor error in SA is small and use of more zenith divisions can further reduce the error. Based on our previous study, model performance on clear sky global solar radiation was also evaluated. Overall, KM performs better than SA in global radiation as KM performs better than SA in modeling direct radiation which is the major component of global radiation.