论河南“75.8”特大暴雨的研究:回顾与评述   总被引：1，自引：0，他引：1  

丁一汇 《气象学报》2015,73(3):411-424

“75.8”河南特大暴雨的发生已经过去40年了,它在人们的记忆中留下深刻的印象。这场暴雨在1975年8月5—7日3 d之内在河南南部的局部地区降下了1605 mm的总雨量,1、3、6、12 h雨量均破中国降水的历史记录。由于水库垮坝,洪水夺走了该区约2万6千人的生命,经济损失巨大。在这40年间,中国的暴雨研究和预报都取得了重大的进展。其中一个重要原因是中国的气象和水文部门从这场空前强烈的大暴雨和大洪水事件中吸取了宝贵的经验教训,多年来,以这场超级大暴雨洪水为借鉴,不断促进和鼓励中国气象学家向暴雨研究和预报发展的更高目标前进。有感于此,回顾和评述了当年老一辈科学家在比较艰苦的条件下所进行的这次大暴雨的研究活动,以及所获得的卓越科学成果。即使从今天来看,其中不少成果也具有创新性的意义,在中国暴雨研究的发展史上,占有十分重要甚至里程碑式的地位。文中重点对其中的关键科学问题进行了评述,包括:(1)“75.8”特大暴雨的雨情和极值;(2)“75.8”特大暴雨发生的原因;(3)“75.8”特大暴雨的动力诊断;(4)暴雨中尺度分析;(5)地形对暴雨的增幅作用。希望以此纪念河南“75.8”特大暴雨发生40周年,并表达对参与此次研究活动的老一辈科学家深深的怀念和敬意。  相似文献   

An equilibrium cloud-resolving modeling study of diurnal variation of tropical rainfall     

《Dynamics of Atmospheres and Oceans》2015

The diurnal variation of tropical rainfall is examined through the analysis of an equilibrium cloud-resolving model experiment. Model domain mean rain rate is defined as a product of rain intensity and fractional rainfall coverage. The diurnal variation of the mean rain rate is associated with that of fractional rainfall coverage because the diurnal variation of rain intensity is significantly weakened through the decrease in rainfall in early morning hours. The decrease in rainfall corresponds to the reduction in secondary circulations through the barotropic conversion from the perturbation kinetic energy to the mean kinetic energy under the imposed negative vertical gradient of westerly winds. The fractional rainfall coverage shows the diurnal signal with the maximum in the early morning hours primarily due to nocturnal infrared radiative cooling.  相似文献   

A Comparison of De-noising Methods for Differential Phase Shift and Associated Rainfall Estimation          下载免费PDF全文

HU Zhiqun  LIU Liping  WU Linlin  WEI Qing 《Acta Meteorologica Sinica》2015,29(2):315-327

Measured differential phase shift ΦDP is known to be a noisy unstable polarimetric radar variable, such that the quality of ΦDP data has direct impact on specific differential phase shift KDP estimation, and subsequently, the KDP-based rainfall estimation. Over the past decades, many ΦDP de-noising methods have been developed; however, the de-noising effects in these methods and their impact on KDP-based rainfall estimation lack comprehensive comparative analysis. In this study, simulated noisy ΦDP data were generated and de-noised by using several methods such as finite-impulse response(FIR), Kalman, wavelet,traditional mean, and median filters. The biases were compared between KDP from simulated and observedΦDP radial profiles after de-noising by these methods. The results suggest that the complicated FIR, Kalman,and wavelet methods have a better de-noising effect than the traditional methods. After ΦDP was de-noised,the accuracy of the KDP-based rainfall estimation increased significantly based on the analysis of three actual rainfall events. The improvement in estimation was more obvious when KDP was estimated with ΦDP de-noised by Kalman, FIR, and wavelet methods when the average rainfall was heavier than 5 mm h-1.However, the improved estimation was not significant when the precipitation intensity further increased to a rainfall rate beyond 10 mm h-1. The performance of wavelet analysis was found to be the most stable of these filters.  相似文献   

Seasonal prediction of June rainfall over South China: Model assessment and statistical downscaling     

Kun-Hui Ye  Chi-Yung Tam  Wen Zhou  Soo-Jin Sohn 《大气科学进展》2015,32(5):680-689

The performances of various dynamical models from the Asia-Pacific Economic Cooperation(APEC) Climate Center(APCC) multi-model ensemble(MME) in predicting station-scale rainfall in South China(SC) in June were evaluated.It was found that the MME mean of model hindcasts can skillfully predict the June rainfall anomaly averaged over the SC domain.This could be related to the MME's ability in capturing the observed linkages between SC rainfall and atmospheric large-scale circulation anomalies in the Indo-Pacific region.Further assessment of station-scale June rainfall prediction based on direct model output(DMO) over 97 stations in SC revealed that the MME mean outperforms each individual model.However,poor prediction abilities in some in-land and southeastern SC stations are apparent in the MME mean and in a number of models.In order to improve the performance at those stations with poor DMO prediction skill,a station-based statistical downscaling scheme was constructed and applied to the individual and MME mean hindcast runs.For several models,this scheme can outperform DMO at more than 30 stations,because it can tap into the abilities of the models in capturing the anomalous Indo-Paciric circulation to which SC rainfall is considerably sensitive.Therefore,enhanced rainfall prediction abilities in these models should make them more useful for disaster preparedness and mitigation purposes.  相似文献   

Evaluation of radar and automatic weather station data assimilation for a heavy rainfall event in southern China     

Tuanjie Hou  Fanyou Kong  Xunlai Chen  Hengchi Lei  Zhaoxia Hu 《大气科学进展》2015,32(7):967-978

To improve the accuracy of short-term(0–12 h) forecasts of severe weather in southern China, a real-time storm-scale forecasting system, the Hourly Assimilation and Prediction System(HAPS), has been implemented in Shenzhen, China. The forecasting system is characterized by combining the Advanced Research Weather Research and Forecasting(WRF-ARW)model and the Advanced Regional Prediction System(ARPS) three-dimensional variational data assimilation(3DVAR) package. It is capable of assimilating radar reflectivity and radial velocity data from multiple Doppler radars as well as surface automatic weather station(AWS) data. Experiments are designed to evaluate the impacts of data assimilation on quantitative precipitation forecasting(QPF) by studying a heavy rainfall event in southern China. The forecasts from these experiments are verified against radar, surface, and precipitation observations. Comparison of echo structure and accumulated precipitation suggests that radar data assimilation is useful in improving the short-term forecast by capturing the location and orientation of the band of accumulated rainfall. The assimilation of radar data improves the short-term precipitation forecast skill by up to9 hours by producing more convection. The slight but generally positive impact that surface AWS data has on the forecast of near-surface variables can last up to 6–9 hours. The assimilation of AWS observations alone has some benefit for improving the Fractions Skill Score(FSS) and bias scores; when radar data are assimilated, the additional AWS data may increase the degree of rainfall overprediction.  相似文献   

雷达-雨量计联合估测区域降水量方法检验与评估   总被引：3，自引：3，他引：0  

李建通  李柏  杨洪平  刘晓阳  张玲  郭林 《气象》2015,41(2):200-211

文章在"黄河淮河流域暴雨洪水预报系统"项目试验整理的高密度地面雨量站网数据和雷达连续采集体积扫描数据基础上,首次提出了对稠密雨量站网数据科学分组的方法,并采用分组数据对雷达-雨量计联合校准的10种方法进行了多参数的客观检验和评估。研究表明:(1)雨量站分组方法科学合理,可以满足评估的要求;(2)集成法估测区域降水量好于其他非集成的8种方法;(3)雷达对不同降水强度的估测精度具有三段式分布特征;(4)50~100 km为雷达估测降水的最佳区间,150~200 km区间的估测精度最差;(5)通过时间累积,可以提高各种估测方法区域降水量估测的精度和稳定度。  相似文献   

十三陵地震台gPhone重力仪的仪器性能与水文响应分析   总被引：2，自引：0，他引：2  

佘雅文  付广裕  韦进 《大地测量与地球动力学》2015,35(5):901-905

对安置于十三陵地震台的两台gPhone重力仪(109、118号)在2013-04~08的连续观测数据进行潮汐分析和提取重力残差处理。结果表明,gPhone重力仪监测到降水导致μGal量级的重力变化;gPhone重力仪获取的二阶重力残差变化与距离十三陵地震台15km的沙河地震台静水位变化之间存在4d左右延迟的正相关对应关系,显示了地下水位观测对重力观测解释的必要性。因此,有必要对我国的连续重力观测网补充地下水位观测,提高连续重力观测的数据处理精度。  相似文献   

地质灾害与不同尺度降雨时空分布关系   总被引：2，自引：0，他引：2  

刘艳辉  唐灿  吴剑波  连建发 《中国地质灾害与防治学报》2011,22(3):74-83

降雨是地质灾害最重要的诱发因素之一,开展地质灾害与不同尺度降雨的时空分布研究,分析降雨诱发地质灾害的特点规律,对于提升地质灾害区域预警水平和防灾减灾实践具有重要意义。本文以2006～2007年汛期地质灾害的实际发生情况为例,通过统计分析方法,对区域地质灾害与年降雨量、月降雨量、月暴雨日数、典型降雨过程之间的时空分布关系开展系统分析,研究表明:降雨是群发型地质灾害发生的重要诱发因素,地质灾害的发育密度与年均雨量成正比,地质灾害发育密度最大的区域,其年均雨量最大;地质灾害分布与月降雨量、月暴雨日数的分布总体上具备一定的对应关系,但并不是完全对应的,主要受到典型强降雨过程的落区控制;在地质灾害多发区出现典型强降雨过程时,地质灾害群发。  相似文献   

降雨作用下山区边坡稳定性分析     

李德心  何思明  李军歌  朱兴华  黄江成 《中国地质灾害与防治学报》2011,22(1):7-10

降雨是诱发边坡失稳破坏的主要原因,本文以坡地水文模型为基础,结合无限边坡稳定计算模型,研究降雨条件下边坡启动的临界降雨条件。通过工程算例表明:降雨量与边坡体稳定系数成反比;滑坡启动的临界降雨量随边坡坡度的增大而减少;随边坡土体内摩擦角的增加而逐渐增加,此分析对降雨型滑坡的研究有借鉴性的意义。  相似文献   

黑河流域荒漠区土壤水分对降水脉动响应   总被引：16，自引：5，他引：11  

刘冰  赵文智  常学向  李守波 《中国沙漠》2011,30(3):716-722

 利用气象站资料,对黑河流域荒漠区降水特征及其土壤水分对降水脉动响应进行了系统研究。结果表明,荒漠区降水属于降水脉动事件,降水前后土壤水分特征存在显著差异,且随土层增加差异逐渐变小。土壤水分在降水量、土壤深度和降水前后的差异极显著,交互效应也极显著(P<0.0001),表明荒漠区土壤水分对降水脉动具有显著的响应现象。土壤水分的降水脉动响应表现为降水后土壤含水量激增,在蒸散作用下缓慢减小。降水前后土壤含水量的时间序列变异规律均能较好地拟合成变异函数的理论模型。降水前后土壤含水量随机变异均小于结构性变异,反映出荒漠区土壤水分在时间尺度上具有较强的自相关性格局。降水使土壤水分空间结构差异呈现下降趋势,在时间序列上异质性降低。  相似文献