梅雨锋强降水与低空急流日变化的观测分析和数值模拟

利用地面加密自动站逐小时观测资料和ERA-Interim再分析资料,分析了2011年6月江淮流域的5次强降水过程和西南低空急流的日变化特征。发现强降水的日变化与西南低空急流的日变化一致:02—08时增强,14时减弱。这主要是由于夜间边界层内的惯性振荡,导致西南低空急流增强从而使得梅雨锋水汽通量辐合增强,降水增强;而白天由于边界层混合摩擦力增大,致使西南低空急流减弱或消失,降水减弱。WRF数值模拟试验不仅重现了观测的日变化特征,而且证实了江淮暴雨和西南低空急流的日变化主要是由非地转风的日变化造成:白天边界层混合强,风为次地转;而夜间边界层混合消失,气压梯度力和科氏力平衡的惯性振荡使得风为超地转      

长江流域一次大暴雨过程的低空急流形成和影响机制分析

利用WRF模式对2016年6月30日—7月6日长江流域的一次大暴雨天气过程中的低空急流进行数值模拟,在成功模拟低空急流基础上,分析此次急流过程中可能的影响机制;同时对地形高度进行敏感性试验,分析地形因素对此次低空急流可能的影响。(1)此次低空急流发生时,东侧为西太平洋副热带高压,西侧则为西南涡。这种“东高西低”的高低压配置为低空急流的形成与发展提供了有利的背景场。(2)高空急流和低空急流的耦合作用是低空急流发展的一个重要背景条件。(3)垂直方向高空动量不断下传为低空系统的发展提供了动力支持,是低空急流发生的一个重要条件。(4)逆温和垂直风切变之间的正反馈机制是低空急流形成与加强的因素之一。(5)山体在急流生成及发展过程中对气流有摩擦和阻挡作用,这种阻挡作用随着山体地形高度的增加而有所加强,同时山脉的走向会改变原始的风向,使得急流前端超前或滞后。青藏高原有强背风波效应,它的绕流和挤压作用会使得低空气流表现为狭长的带状,使动量更加聚集从而风速增加形成低空急流。      

江淮梅雨期强降水和大气不同时间尺度波动的关系

中国的江淮梅雨具有多时间尺度特征,利用1979-2017年欧洲中期预报中心逐日再分析资料(ERA-interim)和台站逐日降水观测数据,采用滤波和合成分析等统计方法,分析了江淮梅雨期间不同时间尺度强降雨过程的特征,对比研究了不同时间尺度强降水对应的大气环流系统波动的演变特征.研究表明江淮梅雨降水集中期开始前1～9天和...     

基于ERAlnlerim资料的2003年淮河流域梅雨期水汽收支分析

以2003年6月29日-7月11日淮河流域梅雨期强降水为研究对象,采用ERAInterim再分析资料和站点降水资料,综合分析该期间慢降水时段水汽收支。结果表明：降水主要来自低层水汽辐合的贡献,而与低空急流相联系的水汽辐合具有显著的日变化,即后半夜至凌晨最大,午后最小,并由此造成了梅雨期强降水独特的日变化特征,最强降水出现在后半夜至凌晨;蒸发主要集中在白天,夜晚很小,数值约为降水量的15％,表明局地水循环的重要作用。针对淮河流域强降水区进行的水汽收支计算表明,水汽收支方程左、右两边数值在整个强降水时段具有较好的一致性,相关系数为0．77;对整个强降水期取时间平均,获得的水汽收支方程左、右两端数值的偏差为18％。     

On the Diurnal Cycle of Heavy Rainfall over the Sichuan Basin during 10–18 August 2020※

A sustained heavy rainfall event occurred over the Sichuan basin in southwest China during 10–18 August 2020, showing pronounced diurnal rainfall variations with nighttime peak and afternoon minimum values, except on the first day. Results show that the westward extension of the anomalously strong western Pacific subtropical high was conducive to the maintenance of a southerly low-level jet (LLJ) in and to the southeast of the basin, which favored continuous water vapor transport and abnormally high precipitable water in the basin. The diurnal cycle of rainfall over the basin was closely related to the periodic oscillation of the LLJ in both wind speed and direction that was caused by the combination of inertial oscillation and terrain thermal forcing. The nocturnally enhanced rainfall was produced by moist convection mostly initiated during the evening hours over the southwest part of the basin where high convective available potential energy with moister near-surface moist air was present. The convective initiation took place as cold air from either previous precipitating clouds from the western Sichuan Plateau or a larger-scale northerly flow met a warm and humid current from the south. It was the slantwise lifting of the warm, moist airflow above the cold air, often facilitated by southwest vortices and quasi-geostrophic ascent, that released the convective instability and produced heavy rainfall.     

Analysis of Mesoscale Convective Systems Associated With a Warm-Sector Rainstorm Event Over South China

With multiple meteorological data, including precipitation from automatic weather stations, integrated satellite-based precipitation (CMORPH), brightness temperature (TBB), radar echoes and NCEP reanalysis, a rainstorm event, which occurred on May 26, 2007 over South China, is analyzed with the focus on the evolution characteristics of associated mesoscale-β convective systems (Mβcss). Results are shown as follows. (1) The rainstorm presents itself as a typical warm-sector event, for it occurs within a surface inverted trough and on the left side of a southwesterly low-level jet (LLJ), which shows no obvious features of baroclinicity. (2) The heavy rainfall event is directly related to at least three bodies of Mβcss with peak precipitation corresponding well to their mature stages. (3) The Mβcss manifest a backward propagation, which is marked with a new form of downstream convection different from the more usual type of forward propagation over South China, i.e., new convective systems mainly form at the rear part of older Mβcss. (4) Rainstorm-causing Mβcss form near the convergence region on the left side of an 850-hPa southwesterly LLJ, over which there are dominantly divergent air flows at 200 hPa. Different from the typical flow pattern of outward divergence off the east side of South Asia High, which is usually found to be over zones of heavy rains during the annually first rainy season of South China, this warm-sector heavy rain is below the divergence region formed between the easterly and southerly flows west of the South Asian High that is moving out to sea. (5) The LLJ transports abundant amount of warm and moist air to the heavy rainfall area, providing advantageous conditions for highly unstable energy to generate and store at middle and high levels, where corresponding low-level warm advection may be playing a more direct role in the development of Mβcss. As a triggering mechanism for organized convective systems, the effect of low-level warm advection deserves more of our attention. Based on the analysis of surface mesoscale airflow in the article, possible triggering mechanisms for Mβcss are also discussed.     

Impacts of the Boreal Summer Intraseasonal Oscillation on the Warm-Season Rainfall over Hainan Island

This study investigates the roles of the boreal summer intraseasonal oscillation (BSISO) in the diurnal rainfall cycle over Hainan Island during the warm season (April-September) using 20-year satellite-based precipitation, ERA5 and the outgoing longwave radiation data with the phase composite analysis method. Results show that the spatial distributions of the hourly rainfall anomaly significantly change under the BSISO phases 1-8 while no clear variations are found on the daily and anomaly daily area-averaged rainfall over the island. During the BSISO phase 1, the rainfall anomaly distinctly increases in the morning over the southwest and late afternoon over the northeast of the island, while suppressed convection occurs in the early afternoon over the southwest area. Under this circumstance, strong low-level westerly winds bring abundant moisture into the island, which helps initiate the nocturnal-morning convection over the south coastal area, and drives the convergence region of sea breeze fronts to concentrate into the northwest. Opposite to Phase 1, an almost completely reversed diurnal cycle of rainfall anomaly is found in Phase 5, whereas a positive anomalous rainfall peak is observed in the early afternoon over the center while negative peaks are found in the morning and late afternoon over the southwest and northeast, owing to a strong low-level northeasterly anomaly flow, which causes relatively low moisture and enlarges a sea-breeze convergence area over the island. During Phase 8, strongest moisture is found over the island all through the day, which tends to produce highest rainfall in the afternoon with enhanced anomalous northerly. These results further indicate that multiscale interactions between the large-scale circulations and local land-sea breeze circulations play important roles in modulating diurnal precipitation cycles over the tropical island.     

Observation and Numerical Simulations with Radar and Surface Data Assimilation for Heavy Rainfall over Central Korea

This study investigated the impact of multiple-Doppler radar data and surface data assimilation on forecasts of heavy rainfall over the central Korean Peninsula;the Weather Research and Forecasting(WRF) model and its three-dimensional variational data assimilation system(3DVAR) were used for this purpose. During data assimilation,the WRF 3DVAR cycling mode with incremental analysis updates(IAU) was used. A maximum rainfall of 335.0 mm occurred during a 12-h period from 2100 UTC 11 July 2006 to 0900 UTC 12 July 2006.Doppler radar data showed that the heavy rainfall was due to the back-building formation of mesoscale convective systems(MCSs).New convective cells were continuously formed in the upstream region,which was characterized by a strong southwesterly low-level jet(LLJ).The LLJ also facilitated strong convergence due to horizontal wind shear,which resulted in maintenance of the storms.The assimilation of both multiple-Doppler radar and surface data improved the accuracy of precipitation forecasts and had a more positive impact on quantitative forecasting(QPF) than the assimilation of either radar data or surface data only.The back-building characteristic was successfully forecasted when the multiple-Doppler radar data and surface data were assimilated.In data assimilation experiments,the radar data helped forecast the development of convective storms responsible for heavy rainfall,and the surface data contributed to the occurrence of intensified low-level winds.The surface data played a significant role in enhancing the thermal gradient and modulating the planetary boundary layer of the model,which resulted in favorable conditions for convection.     

Analysis of Simulated Heavy Rain over the Yangtze River Valley During 11-30 June 1998 Using RIEMS

RIEMS‘ ability to simulate extreme monsoon rainfall is examined using the 18-month (April 1997 September 1998) integrated results. Model-simulated heavy precipitation over the Yangtze River valley during 11-30 June 1998 is compared with the observation, and the relationships between this heavy rainfall process and the large-scale circulations, such as the westerly jet, low-level jet, and water vapor transport,are analyzed to further understand the mechanisms for simulating heavy monsoon rainfall. The analysis results show that (1) RIEMS can reproduce the pattern of heavy precipitation over the Yangtze River valley during 11-30 June 1998, but it is shifted northwestwards. (2) The simulated West Pacific Subtropical High (WPSH) that controls the East Asia Monsoon evolution is stronger than the observation and is extended westwards, which possibly leads to the north westward shift of the heavy rain belt. (3) The Westerly jet at 200 hPa and the Low-level jet at 850 hPa, both of which are related to the heavy monsoon rainfall,are reasonably reproduced by RIEMS during 11-30 June 1998~ although the intensities of the simulated Westerly/Low-level jets are strong and the location of the Westerly jet leans to the southeast,which may be the causes of RIEMS producing too much heavy rainfall in the north of the Yangtze River valley.     

Climatic features of the south-westerly low-level jet over southeast china and its association with precipitation over east China

The major features of the south-westerly low-level jet (LLJ) in the lower troposphere over Southeast China and its climatic impacts are investigated by using FNL reanalysis data and observational precipitation data. Results show that LLJ mainly occurs in spring and summer and the occurrence frequency of LLJ over southeast China has significant diurnal cycle, most LLJ occur in the nighttime (0200 LST and 0800 LST). The high nocturnal occurrence frequency of LLJ is mainly resulting from increased nocturnal ageostrophic wind. Research on the climatic impacts of large-scale conditions depicts that, the occurrence of LLJ in April mainly results from the northward shifting of western pacific subtropical high (WPSH), and the occurrence of LLJ in July results from the strengthening of detouring flow around Tibetan Plateau. Analysis of the climatic effects of LLJ on precipitation distribution in 3 rainy seasons over Southeast China indicates that the rainfall events with strong intensity correspond to strong LLJs. The LLJ affects the precipitation over Southeast China by transporting water vapor and triggering upward motion. Rainfall regions well corresponds to the regions of the moisture convergence and strong upward motion triggered by LLJ. Negative wind divergence anomalies at 850 hPa and positive wind divergence anomalies at 200 hPa over the Yangtze-Huaihe River Valley strengthen the upward motion over this region, which are conductive to produce more precipitation over the Yangtze-Huaihe River Valley.     

一次江淮切变线暴雨过程的数值模拟与诊断分析

采用非静力中尺度模式WRFV3.3对2010年7月12-13日一次江淮切变线暴雨过程进行数值模拟,分析了暴雨形成的大尺度环流条件、中尺度气旋演变,并对涡旋与变形场的相互作用指数VDI与降水之间的关系进行了探讨。结果表明：本次暴雨过程为典型的切变线降水过程,是在高层200 hPa强大的南亚高压稳定少动,中层500hPa短波槽生成东移、西太平洋副热带高压维持的背景下,由低层700 hPa和850 hPa切变线上中尺度低涡以及地面梅雨锋扰动的共同作用造成的。WRFV3.3较好地模拟了本次暴雨过程的雨带和暴雨中心。中尺度气旋发生于长江中下游呈东北-西南走向的切变线上,暴雨发生于700 hPa切变线南侧、低空急流轴的左侧,急流轴上的大风速中心与1 h雨强有较好的对应关系。中尺度涡旋与大风速中心之间存在着明显的相关性,风速增强,涡旋增强。VDI指数对降水中心和强度有较好的指示性,有助于在实际预报业务中对降水中心和强度做出正确判断。     

Potential Vorticity Structure and Inversion of the Cyclogenesis Over the Yangtze River and Huaihe River Valleys

In this paper, the potential vorticity structure and inversion of the cyclogenesis over the Yangtze River and Huaihe River valleys during 21 23 June 2003 are investigated with a potential vorticity （PV） framework. The cyclogenesis is manifested by a lower-tropospheric PV anomaly over the Yangtze River and Huaihe River valleys at early stages mainly due to latent heat release, which greatly affects the evolution of the associated lower-tropospheric geopotential height and wind fields as demonstrated by piecewise PV inversion. At later stages, an upper-tropospheric PV anomaly develops, resulting in the growth of ridges over the cyclone in both the upstream and downstream, which provide a favorable background field for the low-level cyclone development. But the effect of a surface thermal anomaly always impedes the development of the cyclone to different extents during this cyclogenesis. It is further demonstrated that the position and the strength of the PV anomaly are closely related to the low-level cyclone development, and the lower-tropospheric PV anomaly seems to constitute the most significant feature, for instance, contributing about 60% to the low-level jet （LLJ）.     

2018年北京“7.16”暖区特大暴雨特征及形成机制研究

利用京津冀区域加密自动气象站、SA多普勒天气雷达、L波段风廓线雷达、NCEP 0.25° 再分析资料及0.03° 高分辨率地形资料研究了北京2018年7月15—16日暖区特大暴雨特征和形成机制。结果表明:（1）这次暖区特大暴雨发生在副热带高压边缘的暖气团（θ_se高能区）中,无明显冷空气强迫,斜压性弱,有丰沛的水汽,850 hPa以下出现强水汽辐合。（2）暴雨的中尺度对流系统发展有3个过程:带状对流建立和局地强雨团影响、北京北部“列车效应”南部雷暴冷池出流造成对流加强和移动、平原地区线状对流重建。（3）暴雨发生前,低层西南风出现风速脉动,低空急流建立。首先在2500—3500 m高度形成低空急流,2 h后2500 m以下风速显著增大,5 h后急流厚度由边界层伸展到700 hPa。急流出口区降压,低层出现气旋性风场或切变,有利于垂直上升运动发展,触发和加强对流。（4）西南低空急流暖湿输送导致高温、高湿、高能的对流不稳定层结反复重建,这是对流发展加强的重要原因。（5）地面辐合线是对流触发并逐渐组织成带状对流系统的关键影响因素。地面辐合线方向、低空急流轴、回波移动方向三者几乎重叠是造成对流后向传播和“列车效应”的有利条件。（6）太行山和燕山地形对对流触发和暴雨增幅有重要影响。北京最大雨强≥40 mm/h站点中的77.4%位于西南部和东北部200—600 m海拔高度处。偏东风在华北西部太行山局地迎风坡触发对流,西南低空急流在北京北部迎风坡和喇叭口地形处辐合和抬升更为显著,造成局地特大暴雨。      

基于GPM卫星的广东汛期降水日变化特征与评估

新一代全球降水观测计划GPM作为TRMM卫星的继承者,在物理探测和降水反演算法上具有明显进步。以广东省雨量自动站为基准,对2014—2018年间GPM的格点降水估测产品IMERG（V5B）的日变化特征和估测误差进行分析。结果表明,IMERG能清晰反映广东前、后汛期的降水双峰型特征,但对下午降水峰值明显高估,峰值出现时间滞后;而对于沿海早晨峰值降水则明显低估,对于降水极值,低估更加显著。IMERG对两个峰值的估测误差受不同因素影响,下午峰值降水的相对偏差与地形密切相关,珠江三角洲平原为稳定高估区,地形高度越高,低估幅度越大;而早晨峰值降水极值负偏差与地形高度、降水量的相关性均较小。对出现显著负偏差的早晨沿海降水样本日进行925 hPa风场合成,可知IMERG明显低估时,对应区域上游较强的超低空西南气流与风速夜间增长。IMERG对这一季风活动背景降水的低估构成了其估测早晨降水误差的主要来源。      

2006年6月6—7日福建特大暴雨数值模拟和诊断分析

采用PSU／NCAR等共同研制的新一代细网格WRF（WeatherResearchandForecasting）中尺度数值模式,对2006年6月6-7日福建地区出现的一次特大暴雨过程进行了数值模拟,并利用模式输出的高分辨率动力协调资料进行了初步诊断分析。结果表明,中尺度低涡是本次暴雨过程的主要影响系统之一,低涡的时空演变特征与暴雨中心的移动和雨强的变化相一致。暴雨中心的强上升运动及低层辐合、高层辐散的配置有利于中尺度对流系统的发生发展,高低空急流耦合是此次强降雨爆发的重要机制。暴雨区域850hPaθse场呈现典型的“Ω”型,高湿能条件的维持,保证了强降雨过程的能量供给,是强降雨持续的重要条件。暴雨中心位于最大垂直速度中心附近,暴雨区两侧存在垂直的次级环流,对流层中低层负湿位涡区、高层正湿位涡区的配置有利于造成较强烈的中尺度上升运动。     

2007年淮河暴雨洪涝的气象水文特征

利用常规气象和水文资料, 分析了2007年淮河洪涝期间的气象水文特征, 探讨了淮河暴雨致洪原因。结果表明: 2007年淮河入梅后经历了7次暴雨和大暴雨过程, 其中导致淮河洪涝的强降雨主要出现在2007年6月29日—7月10日的4场强暴雨过程。大尺度的环流分析表明:淮河的强降水出现在大尺度环流形势相对稳定的梅雨形势下, 副热带高压的稳定对于强雨带的建立影响最明显; 淮河干流的水位流量变化呈现出上游水位高, 汛情严重的特征。王家坝的水位经历了两次快速上涨后超过保证水位, 水位的变化与淮河强降雨、尤其是淮河上游强降雨过程有较好的对应关系。与历史上淮河洪涝年比较发现:2007年淮河梅雨期的总降水量低于历史上淮河洪涝年的1954年、1991年和2003年的降水量, 为历史第4位; 淮河干流的水位则超过了1991年和2003年, 为历史第2位, 上游降水量大导致了淮河出现1954年以来的高水位。     

Differences in Atmospheric Boundary-Layer Characteristics Between Wet and Dry Episodes of the Indian Summer Monsoon

The differences and similarities in atmospheric boundary-layer (ABL) characteristics, in particular the ABL height, evolution and wind field, between two contrasting episodes of the Indian summer monsoon have been studied using measurements from wind profilers and an instrumented 50-m tower at Gadanki in India. The observed differences are discussed in light of various forcing mechanisms, in particular the effect of soil moisture on the surface energy balance and ABL. The differences in ABL height, its evolution and the wind field between episodes are quite pronounced. Wet episodes not only have a shallower ABL but also the growth is delayed by 1–4 h when compared with that for dry episodes. Abundant soil moisture during the wet episodes (a factor of two greater than during the dry episodes) reduces the buoyancy flux, and thereby not only limits the ABL height but also delays the commencement of ABL growth. The low-level jet (LLJ) is stronger during the dry episodes and has a larger diurnal range than during the wet episodes. The highest occurrence and magnitude of LLJ apparent at a height of 1.5 km during early morning hours shift progressively with height and time till the afternoon, following ABL evolution. The weaker LLJ during the wet episodes is attributed to its southward migration from its mean position (15 \(^{\circ }\) N). Larger signal-to-noise ratio and spectral width values are observed during the early night to midnight, compared to noon-time, when the ABL is buoyantly turbulent.     

Identification of typical synoptic patterns causing heavy rainfall in the rainy season in Japan by a Self-Organizing Map

In order to systematically and visually understand well-known but qualitative and complex relationships between synoptic fields and heavy rainfall events in Kyushu Islands, southwestern Japan, during the BAIU season, these synoptic fields were classified using the Self-Organizing Map (SOM), which can convert complex non-linear features into simple two-dimensional relationships. It was assumed that the synoptic field patterns could be simply expressed by the spatial distribution of (1) wind components at the 850 hPa level and (2) precipitable water (PW) defined by the water vapor amount contained in a vertical column of the atmosphere. By the SOM algorithm and the clustering techniques of the U-matrix and the K-means, the synoptic fields could be divided into eight kinds of patterns (clusters). One of the clusters has the notable spatial features represented by a large PW content accompanied by strong wind components known as low-level jet (LLJ). The features of this cluster indicate a typical synoptic field pattern that frequently causes heavy rainfall in Kyushu during the rainy season.In addition, an independent data set was used for validating the performance of the trained SOM. The results indicated that the SOM could successfully extract heavy rainfall events related to typical synoptic field patterns of the BAIU season. Interestingly, one specific SOM unit was closely related to the occurrence of disastrous heavy rainfall events observed during both training and validation periods. From these results, the trained SOM showed good performance for identifying synoptic fields causing heavy rainfall also in the validation period. We conclude that the SOM technique may be an effective tool for classifying complicated non-linear synoptic fields and identifying heavy rainfall events to some degree.     

1981-2010年江淮地区持续性强降水低频特征分析

基于1981-2010年国家气象信息中心提供的全国756站逐日降水数据建立江淮地区降水指数,选取6-7月江淮地区持续性强降水事件共26例,利用集合经验模态分解方法分析江淮地区的持续性强降水的低频性质。结果表明江淮流域夏季降水呈现随振荡周期增大方差贡献减小的趋势,根据江淮流域夏季持续性强降水的低频性质可以分成三类,其中10-30天低频振荡主导的事件占全部事件的50%,其低频成分的贡献达45.9%;10-30天和30-60天低频振荡共同主导的事件占全部事件的34.6%,10-30天低频成分的贡献达39.9%,30-60天低频成分的贡献达20.9%。在10-30天低频尺度上,事件发生前期自副高系统产生向极的波动能量的传播进而形成中纬度位势高度负异常,30-60天低频尺度上的位势高度异常稳定维持在利于持续性强降水发生的位相,为10-30天关键低频系统的形成提供一个有利的背景场,两个时间尺度上的低频活动在事件发生期间索相。在低频尺度上导致江淮地区持续性强降水的主要原因是位于南海至菲律宾北部的低频反气旋系统携带大量暖湿水汽沿西南东北向不断输送至江淮地区,低频反气旋与中纬度低频气旋系统在江淮地区强烈辐合导致持续性强降水的发生。     

A Heavy Rainfall Event in Autumn over Beijing-Atmospheric Circulation Background and Hindcast Simulation Using WRF

Heavy rainfall events often occur in Beijing during summer but rarely in autumn. However,during 3-5 September2015, an exceptionally heavy rainfall event occurred in Beijing. Based on the reanalysis data and the Weather Research and Forecasting(WRF) model simulations, the main contributing factors and the predictability of this heavy rainfall event were examined through comprehensive analyses of vorticity advection and water vapor transport/budget. The results indicate that a "high-in-the-east-low-in-the-west" pattern of 500-hPa geopotential height over the Beijing area played an important role. The 850-hPa low-level jet(LLJ) provided a mechanism for rising motion and transported abundant water vapor into the Beijing area. Two-way nested hindcast experiments using WRF well reproduced the atmospheric circulation and LLJ. Quantitative analysis indicates that the WRF model with the rapid update cycle(RUC) land surface scheme and the single-moment 6-class(WSM6) microphysics scheme exhibited the best skill, and the model performance improved with a higher resolution. Further analysis indicates that the bias in the precipitation forecast was caused by the bias in water vapor transport.