一次梅雨锋暴雨云物理特征的数值模拟研究

利用中尺度数值模式MM5（V3.6）,选用模式中不同的显式云物理方案,对2003年7月4—5日发生在江淮流域的梅雨锋暴雨过程进行了数值模拟,并根据模拟结果对造成此次暴雨过程的对流云团的微物理特征进行了分析。研究结果表明：(1)具有详细云物理过程的中尺度模式MM5对短时强降水过程具有较好的模拟能力,提高MM5模式的分辨率,可以更好地模拟短时梅雨锋暴雨过程,模式中的Goddard云物理方案的模拟结果要优于Reisner方案和Schultz方案。（2）梅雨锋对流云团是一种复杂的固、液、气三相混合体结构,在云体区域内的平均质量密度分布中,水汽的质量密度最大,其次是霰,而冰晶、雪、云水和雨水的质量密度较小且数值大小彼此接近,各种相态粒子质量密度峰值出现的高度随时间无明显变化。雨水、云冰和霰的质量密度随时间演变规律与地面降水强度的变化特征相一致,近地面层水汽密度随时间的演变规律比地面降水强度提前1—2个小时,水汽通量的辐合对暴雨时段内水汽的补充和维持起到了重要的作用。（3）除了最基本的云水向雨水转化的云微物理过程之外,此次降水过程还显示,在中层500—700 hPa范围内雪、冰晶等冰相粒子首先转化为霰粒子,而霰和云水的结合进一步加速（剧）云水向雨水的转换,成为短时特大暴雨形成不可或缺的动力机制,云物理过程中的相变潜热与对流运动的正反馈机制是促进暴雨维持和发展的最重要热力因子。     

Satellite-derived rainfall thresholds for landslide early warning in Bogowonto Catchment,Central Java,Indonesia

Satellite rainfall products for landslide early warning prediction have been spotlighted by several researchers, in the last couple of decades. This study investigates the use of TRMM and ERA-Interim data, for the determination of rainfall thresholds and the prediction of precipitation, respectively, to be used for landslide early warning purposes at the Bogowonto catchment, Central Java, Indonesia. A landslide inventory of 218 landslides for the period of 2003–2016 was compiled, and rainfall data were retrieved for the landslide locations, as given by 6 ground stations, TRMM, and ERA-Interim data. First, rainfall data from the three different sources was compared in terms of correlation and extreme precipitation indices. Second, a procedure for the calculation of rainfall thresholds for landslide occurrence was followed consisting of four steps: i) the TRMM-based rainfall data was reconstructed for selected dates and locations characterized by landslide occurrence and non-occurrence; ii) the antecedent daily rainfall was calculated for 3, 5, 10, 15, 20 and 30 days for the selected dates and locations; iii) two-parameter daily rainfall-antecedent rainfall thresholds were calculated for the aforementioned dates; after analysis of the curves the optimum number of antecedent rainfall days was selected; and (iv) empirical rainfall thresholds for landslide occurrence were determined. The procedure was repeated for the entire landslide dataset, differentiating between forested and built-up areas, and between landslide occurrence in four temporal periods, in relation to the monsoon. The results indicated that TRMM performs well for the detection of very heavy precipitation and can be used to indicate the extreme rainfall events that trigger landslides. On the contrary, as ERA-Interim failed to detect those events, its applicability for LEWS remains limited. The 15-day antecedent rainfall was indicated to mostly affect the landslide occurrence in the area. The rainfall thresholds vary for forested and built-up areas, as well as for the beginning, middle and end of the rainy season.     

TRMM-retrieved Cloud Structure and Evolution of MCSs over the Northern South China Sea and Impacts of CAPE and Vertical Wind Shear

Cloud structure and evolution of Mesoscale Convective Systems(MCSs) retrieved from the Tropical Rainfall Measuring Mission Microwave Imager(TRMM TMI) and Precipitation Radar(PR) were investigated and compared with some pioneer studies based on soundings and models over the northern South China Sea(SCS).The impacts of Convective Available Potential Energy(CAPE) and environmental vertical wind shear on MCSs were also explored.The main features of MCSs over the SCS were captured well by both TRMM PR and TMI.However,the PR-retrieved surface rainfall in May was less than that in June,and the reverse for TMI.TRMM-retrieved rainfall amounts were generally consistent with those estimated from sounding and models.However,rainfall amounts from sounding-based and PR-based estimates were relatively higher than those retrieved from TRMM-TMI data.The Weather Research and Forecasting(WRF) modeling simulation underestimated the maximum rain rate by 22% compared to that derived from TRMM-PR,and underestimated mean rainfall by 10.4% compared to the TRMM-TMI estimate,and by 12.5% compared to the sounding-based estimate.The warm microphysical processes modeled from both the WRF and the Goddard Cumulus Ensemble(GCE) models were quite close to those based on TMI,but the ice water contents in the models were relatively less compared to that derived from TMI.The CAPE and wind shear induced by the monsoon circulation were found to play critical roles in maintaining and developing the intense convective clouds over SCS.The latent heating rate increased more than twofold during the monsoon period and provided favorable conditions for the upward transportation of energy from the ocean,giving rise to the possibility of inducing large-scale interactions.     

TRMM卫星测雨雷达及其应用研究综述

热带降水测量卫星测雨雷达（TRMM－PR）是第一部星载测雨雷达。卫星于1997年11月28日成功发射，其测雨雷达经过在轨测试定标之后，已向地面发回大量的雷达观测信息。本文主要根据1999年7月如开的第29届雷达气象国际会议的文集和作者所看到的其它文献资料，简要介绍该卫星、星载测雨雷达及其测信息处理和应用的一些研究成果。     

高分辨率青藏高原历史月降水数据重建

青藏高原对全球气候研究具有重要意义,而降水数据对水文、气象和生态等领域的研究也至关重要,且随着研究内容和尺度的变化,对高时空分辨率的历史降水数据的需求越发迫切。本文基于TRMM 3B43降水数据,采用随机森林算法,引入归一化植被指数(AVHRR NDVI)、高程(SRTM DEM)、坡度、坡向、经度、纬度6个地理因子,建立历史降水重建模型,获得1982-1997年分辨率为0.0833°的青藏高原年降水数据,然后根据比例系数法计算出月降水数据。为提高精度,利用站点数据对月降水数据进行校正。结果表明,该方法能简单有效地获得高时空分辨率的历史降水数据,决定系数R²大部分在0.4~0.9之间,平均值为0.6767,其中夏季效果最好,冬季效果最差;均方根误差RMSE和平均绝对误差MAE均在50 mm以下,RMSE均值为22.66 mm,MAE均值为15.97 mm;偏差Bias较小,基本在0.0~0.1之间。     

TRMM卫星降雨雷达观测的南海降雨空间结构和季节变化

利用热带降雨计划卫星(TRMM)获得的雷达降雨资料,对南海及其周边区域(简称南海地区)降雨的空间分布和季节特征进行了研究。结果表明：南海地区的降雨在空间上分布很不均匀,同时具有显著的季节变化。除了副高活动、季风潮、冬季冷涌和热带低压活动等天气过程,南海周边广泛分布的山地地形对该地区的降雨分布也产生强烈影响,降雨呈现南部高于北部、东部高于西部的分布特征?与CAMP和台站资料相比,PR观测具有更丰富的空间结构,能够更好地体现降雨随时间和空间变化的特征、反映高大的山地地形对降雨分布的影响。     

基于热带测雨卫星探测的东亚降水云结构特征的研究

利用2000—2013年5—10月浙江省70个常规站逐小时降水观测资料来检验同期TRMM卫星3B42RT降水产品,尤其针对台风降水进行了评估。对比分析得出,2000—2013年5—10月3B42RT资料与台站观测资料在3 h、6 h、12 h和24 h 4个时间尺度上降水总量接近,两组数据呈显著正相关,相关系数随时间尺度的增大而加强,相关系数大值区位于浙江西部地区;无论是5—10月还是台风降水期间,3B42RT测雨资料的日变化特征与台站观测资料均较为一致,3B42RT能够准确抓到峰值出现的时间;台风期间3B42RT数据表征的全省降水普遍偏低,但与台站观测数据的相关性明显好于5—10月全时段,且相关系数大值区位于浙江东部沿海地区,台风前后时刻的3B42RT逐3 h降水量差值序列与台站观测降水量差值序列呈显著正相关,两组资料表征的降水量变化随时间的演变趋势较为一致。另外,选取2004年0414号台风“云娜”进行相关分析和基于目标诊断技术检验,发现3B42RT资料对降水的结构预报和实况相似度较高。

     

青藏高原、中国东部及北美副热带地区夏季降水系统发生频次的TRMM资料分析

利用1998—2011年夏季（6—8月）TRMM卫星资料分析青藏高原（TP）、中国东部（EC）及北美副热带西部（WNA）和东部（ENA）降水系统的发生频次,定义降水系统为TRMM测雨雷达观测到近地面有降水的相邻像元组成的个体,即RPF （Radar Precipitation Feature）,将RPF分为全体RPF、大面积RPF（面积＞1000 km2）和小面积RPF（面积不＜400 km2）3组,对比分析四个区域内各组的RPF个数发生频次和RPF像元个数发生频次,主要结果如下：（1）全体RPF的个数发生频次在青藏高原地区最高,北美东部地区最低;全体RPF的降水像元个数发生频次在中国东部最高,青藏高原最低。（2）四个区域内RPF发生频次的日变化主要为单峰结构,峰值出现在当地午后至傍晚,且大面积RPF的峰值时间晚于小面积RPF的;中国东部地区RPF降水像元个数发生频次则具有双峰结构。（3）RPF降水像元个数发生频次的分析结果与以往基于地面观测降水量的分析结果相似。     

青藏高原闪电和降水气候特征及时空对应关系

基于1998—2013年的TRMM (tropical rainfall measuring mission) 数据,分析青藏高原闪电活动与降水气候特征及时空对应关系,结果表明:青藏高原 (简称高原) 的闪电活动中心在高原中部和东北部,中部最大闪电密度达到6.2 fl·km-2·a-1;但高原降水最活跃的区域是东南部,年降水量超过800 mm。闪电活动和降水随月份均呈现出先西进再东退的特征,但高原东北部强闪电活动区位置几乎不变化。在固定区域闪电和降水月变化具有一致性,活跃期出现在5—9月,呈单峰结构,除西部和东南部外,闪电与降水峰值月份吻合。结合TRMM降水特征 (简称PFs) 资料研究单个闪电表征降水量 (rainyield per flash,RPF) 的空间分布特征表明,闪电活动可以作为高原深对流的指示因子,而RPF可以有效表征深对流系统在整个降水系统中的比例。高原中西部和东北部深对流系统在整个降水系统中的比例最大,而在高原东南部最小,高原东南部的降水更多由暖云降水系统贡献。     

Impacts of TRMM SRR assimilation on the numerical prediction of tropical cyclone

1 IntroductionObservation of the tropical rainfall is crucial forthe research on tropical weather and climate. Nu-merous studies have shown that the ingestion of rain-fall data into a numerical model can have considera-ble impacts on simulation results(Kr…