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1.
The mei-yu season,typically occurring from mid-June to mid-July,on average,contributes to 32%of the annual precipitation over the Yangtze-Huai River Valley(YHRV)and represents one of the three heavy-rainfall periods in China.Here,we briefly review the large-scale background,synoptic pattern,moisture transport,and cloud and precipitation characteristics of the mei-yu frontal systems in the context of the ongoing Integrative Monsoon Frontal Rainfall Experiment(IMFRE)field campaign.Phase one of the campaign,IMFRE-I,was conducted from 10 June to 10 July 2018 in the middle reaches of the YHRV.Led by the Wuhan Institute of Heavy Rain(IHR)with primary support from the National Natural Science Foundation of China,IMFRE-I maximizes the use of our observational capacity enabled by a suite of ground-based and remote sensing instruments,most notably the IHR Mesoscale Heavy Rainfall Observing System(MHROS),including different wavelengths of radars,microwave radiometers,and disdrometers.The KA350(Shanxi King-Air)aircraft participating in the campaign is equipped with Ka-band cloud radar and different probes.The comprehensive datasets from both the MHROS and aircraft instruments are combined with available satellite observations and model simulations to answer the three scientific questions of IMFRE-I.Some highlights from a previously published special issue are included in this review,and we also briefly introduce the IMFRE-II field campaign,conducted during June-July 2020,where the focus was on the spatiotemporal evolutions of the mei-yu frontal systems over the middle and lower reaches of the YHRV. 相似文献
2.
The middle and lower reaches of the Yangtze River in eastern China during summer 2020 suffered the strongest mei-yu since 1961. In this work, we comprehensively analyzed the mechanism of the extreme mei-yu season in 2020, with focuses on the combined effects of the Madden-Julian Oscillation (MJO) and the cooperative influence of the Pacific and Indian Oceans in 2020 and from a historical perspective. The prediction and predictability of the extreme mei-yu are further investigated by assessing the performances of the climate model operational predictions and simulations. It is noted that persistent MJO phases 1?2 during June?July 2020 played a crucial role for the extreme mei-yu by strengthening the western Pacific subtropical high. Both the development of La Ni?a conditions and sea surface temperature (SST) warming in the tropical Indian Ocean exerted important influences on the long-lived MJO phases 1?2 by slowing down the eastward propagation of the MJO and activating convection related to the MJO over the tropical Indian Ocean. The spatial distribution of the 2020 mei-yu can be qualitatively captured in model real-time forecasts with a one-month lead. This can be attributed to the contributions of both the tropical Indian Ocean warming and La Ni?a development. Nevertheless, the mei-yu rainfall amounts are seriously underestimated. Model simulations forced with observed SST suggest that internal processes of the atmosphere play a more important role than boundary forcing (e.g., SST) in the variability of mei-yu anomaly, implying a challenge in quantitatively predicting an extreme mei-yu season, like the one in 2020. 相似文献
3.
选取适当的亚洲夏季风指数并对它们进行分类,结合1979-2020年长江中游地区夏季降水资料,分析了夏季风异常年份长江中游地区夏季大气环流和降水的特征。主要得出以下结论：（1）两类夏季风指数都与长江中游地区夏季降水呈负相关关系,并且第二类夏季风指数与长江中游地区夏季降水的相关关系更加显著,因此选取第二类夏季风指数来反映长江中游地区夏季降水特征。（2）长江中游地区的降水具有低频振荡特征,在第二类夏季风指数高值年和低值年,振荡的主周期都是32-64天。（3）第二类夏季风指数高值年和低值年的降水差异主要取决于西太平副高的强度和偏南季风的水汽输送。 相似文献
4.
2016年梅雨期间长江中下游强降水与对流层上层斜压波包的关系 总被引：3，自引：0，他引：3
2016年6—7月,长江中下游地区发生了自1998年以来最严重的强降水事件,造成了重大的经济损失。利用NCEP/NCAR再分析资料和中国2479站逐月及逐日降水资料,研究了2016年梅雨期间长江中下游地区降水与欧亚大陆对流层上层斜压波包活动的关系,并诊断了两者之间的信息流向。结果表明,梅雨期间的高频斜压波动具有明显的下游频散效应。波动起源于黑海,沿西北—东南方向于3—4 d后传至长江中下游地区。斜压波包为长江中下游地区强降水的发生提供了必要的能量。波作用通量矢量的分布表明,梅雨期间逐日均有来自西风带上游的扰动能量向长江中下游流域传播。而梅雨期间降水与斜压波包的信息流关系表明,二者之间存在信息传递。因此,3—4 d并源于黑海附近的斜压波包活动是2016年长江中下游梅雨期间异常降水的成因。这些结果为深刻认识长江中下游地区强降水事件发生的成因和有效预测提供了线索。 相似文献
5.
The 3D radar reflectivity produced by a mosaic software system, with measurements from 29 operational weather radars in the Yangtze River–Huaihe River Basins(YRHRB) during the mei-yu season of 2007, is compared to coincident TRMM PR observations in order to evaluate the value of the ground-based radar reflectivity mosaic in characterizing the 3D structures of mei-yu precipitation. Results show reasonable agreement in the composite radar reflectivity between the two datasets,with a correlation coefficient of 0.8 and a mean bias of -1 dB. The radar mosaic data at constant altitudes are reasonably consistent with the TRMM PR observations in the height range of 2–5 km, revealing essentially the same spatial distribution of radar echo and nearly identical histograms of reflectivity. However, at altitudes above 5 km, the mosaic data overestimate reflectivity and have slower decreasing rates with height compared to the TRMM PR observations. The areas of convective and stratiform precipitation, based on the mosaic reflectivity distribution at 3-km altitude, are highly correlated with the corresponding regions in the TRMM products, with correlation coefficients of 0.92 and 0.97 and mean relative differences of -7.9% and -2.5%, respectively. Finally, the usefulness of the mosaic reflectivity at 3-km altitude at 6-min intervals is illustrated using a mesoscale convective system that occurred over the YRHRB. 相似文献
6.
2020年梅汛期（6～7月）长江中下游地区发生了严峻的汛情。2020年梅雨期长度和强度均远超历史平均水平。本文利用逐日NCEP/NCAR再分析资料和全球降水量网格数据集,研究了本次梅汛期降水特征及其与对流层上层斜压波动活动的联系。结果表明:本次梅汛期,长江中下游地区的总降水量和降水异常大值区位于安徽南部,共有7次连续的降水过程发生。长江中下游地区在对流层中低层辐合、高层辐散,且该地区上空有强的异常上升运动,有利于异常强降水的发生发展。同时,水汽自孟加拉湾和中国南海地区输送至长江中下游地区,为强降水的发生提供了充足水汽。利用小波分析研究该地区的逐日降水标准化时间序列时,发现其存在2～4天和6～14天的显著周期。高频（2～14天）扰动所显示的Rossby波动在对流层上层表现出向下游频散的特征,波动源于贝加尔湖附近。波扰动能量和通量所显示的波动向下游的传播过程与波包的传播过程较为一致,分别源于地中海和贝加尔湖附近的波扰能向东或向东南频散至长江中下游地区,有利于该地区扰动加强并进而有利于强降水的发生和维持。以上结果加深了人们对2020年超长“暴力梅”成因的认识并可为有效预测类似事件提供线索。 相似文献
7.
Chaofan LI Riyu LU Nick DUNSTONE Adam A.SCAIFE Philip E.BETT Fei ZHENG 《大气科学进展》2021,38(12):2055-2066
During June and July of 2020, the Yangtze River basin suffered from extreme mei-yu rainfall and catastrophic flooding. This study explores the seasonal predictability and associated dynamical causes for this extreme Yangtze River rainfall event, based on forecasts from the Met Office GloSea5 operational forecast system. The forecasts successfully predicted above-average rainfall over the Yangtze River basin, which arose from the successful reproduction of the anomalous western North Pacific subtropical high (WNPSH). Our results indicate that both the Indian Ocean warm sea surface temperature (SST) and local WNP SST gradient were responsible for the westward extension of the WNPSH, and the forecasts captured these tropical signals well. We explore extratropical drivers but find a large model spread among the forecast members regarding the meridional displacements of the East Asian mid-latitude westerly jet (EAJ). The forecast members with an evident southward displacement of the EAJ favored more extreme Yangtze River rainfall. However, the forecast Yangtze River rainfall anomaly was weaker compared to that was observed and no member showed such strong rainfall. In observations, the EAJ displayed an evident acceleration in summer 2020, which could lead to a significant wind convergence in the lower troposphere around the Yangtze River basin, and favor more mei-yu rainfall. The model forecast failed to satisfactorily reproduce these processes. This difference implies that the observed enhancement of the EAJ intensity gave a large boost to the Yangtze River rainfall, hindering a better forecast of the intensity of the event and disaster mitigation. 相似文献
8.
利用1980—2020年中国753站逐日降水资料、NCEP/NCAR大气再分析资料以及哈得来中心的海表温度资料和实时多变量Madden-Julian振荡（ MJO）指数,研究了MJO在印度洋地区（1—3位相）活跃日数对长江流域夏季降水日数的影响。结果表明两者存在显著的统计联系,在MJO活跃日数偏多的年份,MJO相关的西北太平洋反气旋环流异常有利于向长江中下游地区输送水汽,进而导致长江流域中下游范围内降水日数的增加,且这种影响主要体现在降水等级为大雨（25 mm/d）及以上强度的日数上。进一步研究发现,MJO在印度洋活跃日数与长江中下游夏季降水日数的关系存在年代际变化,两者显著的联系仅出现在2000年之后,之前的时段两者联系则较弱。这种关系的转变可能与印度洋海表温度变率减弱的背景有关,印度洋海洋年际变率变弱导致其对于长江中下游地区的影响减弱,进而使得MJO的调控作用凸显出来。夏季季节平均的印度洋MJO活跃日数可以对长江中下游的大雨以上的降水日数产生影响,且两者的关系在大约2000年之后变得尤为显著。 相似文献
9.
21世纪前期长江中下游流域极端降水预估及不确定性分析 总被引：1，自引：0，他引：1
在全球变暖背景下,极端降水的频率、强度以及持续时间均在显著增加,尤其是对于气候变化敏感的长江中下游流域。由于模式本身、温室气体排放情景以及自然变率存在较大的不确定性,因此未来预估变化的不确定性一直备受关注。为了能够得到对于未来极端降水更为准确的预估结果,使用NEX-GDDP（NASA Earth Exchange Global Daily Downscaled Projections）提供的19个CMIP5降尺度高分辨率数据（0.25°×0.25°）,给出21世纪前期（2016—2035年）长江中下游流域极端降水的可能变化。根据长江中下游流域178个气象站1981—2005年的逐日降水量数据,计算了能够代表极端降水不同特征的指数,在评估模拟能力的基础上给出了21世纪前期RCP4.5情景下极端降水的变化。结果表明,降尺度结果对长江中下游流域极端降水有很好的模拟能力,除R90N外,所有模式模拟其余指数的空间结构与观测的相关系数均超过了0.6。其中所有模式模拟PRCPTOT和R10的相关系数均超过0.95。21世纪前期,长江中下游地区降水趋于极端化,尤其是在流域的西部地区。极端降水日数的变化在减少,表明对于极端降水的贡献主要来自于极端降水日的较大日降水量,而非极端降水日数。未来预估不确定性的大值区主要位于流域的南部地区,流域的西部地区不确定性较低,西部地区极端降水的增加应该受到更多的重视。 相似文献
10.
1986年以来，长江流域的极端强降水出现了显著增加的趋势，突出表现在中下游地区。长江中下游地区极端降水量的增加，既是极端降水强度增强，也是极端降水事件显著增加的结果。长江流域极端降水变化主要发生在东南部和西南部。趋势分析表明，自20世纪80年代中期以来，长江流域上游极端降水事件峰值提前到6月份出现，与长江中下游极端降水峰值出现的时间几乎同步，这必将加大遭遇性洪水发生的机率。20世纪90年代以来长江洪水的频繁发生，与长江流域极端降水时空分布的变化密切相关。 相似文献
11.
Based on the NCEP/NCAR reanalysis data for the period of 1948--2004 and the monthly rainfall
data at 160 stations in China from 1951 to 2004, the relationships among the land-ocean temperature
anomaly difference in the mid-lower troposphere in spring (April--May), the mei-yu rainfall in the
Yangtze River-Huaihe River basin, and the activities of the South China Sea summer monsoon (SCSSM) are
analyzed by using correlation and composite analyses. Results show that a significant positive correlation
exists between mei-yu rainfall and air temperature in the middle latitudes above the western Pacific,
while a significant negative correlation is located to the southwest of the Baikal Lake. When the
land-ocean thermal anomaly difference is stronger in spring, the western Pacific subtropical high (WPSH)
will be weaker and retreat eastward in summer (June--July), and the SCSSM will be stronger and advance
further north, resulting in deficient moisture along the mei-yu front and below-normal precipitation in
the mid and lower reaches of the Yangtze River, and vice versa for the weaker difference case. The
effects and relative importance of the land and ocean anomalous heating on monsoon variability is also
compared. It is found that the land and ocean thermal anomalies are both closely related to the summer
circulation and mei-yu rainfall and SCSSM intensity, whereas the land heating anomaly is more important
than ocean heating in changing the land-ocean thermal contrast and hence the summer monsoon intensity. 相似文献
12.
2050年前长江流域极端降水预估 总被引：3，自引：0，他引：3
20世纪90年代长江流域日最大降水增加主要出现在长江以南地区和金沙江流域,ECHAM5/MPI-OM模型也大致模拟出了这种趋势。在IPCC给出的3种不同的排放情景下,2000-2050年长江上游日最大降水均有上升趋势,2020年前A2情景下日最大降水最大,A1B最小;长江中下游日最大降水在2025年之前均有明显上升趋势,之后略有下降,波动较大。长江流域未来日最大降水增多的区域可能主要出现在长江以南地区,而极端降水减少的区域可能出现在长江以北地区。 相似文献
13.
基于1980—2016年长江流域站点观测降水,评估了CWRF区域气候模式对长江流域面雨量和极端降水气候事件的模拟能力.结果表明:CWRF模式能较好地再现1980—2016年长江流域及不同分区降水空间分布及月/季面雨量年际变率,且在冬、春季表现较好,夏、秋季次之.CWRF模式对长江流域面雨量存在系统性高估,对面雨量的模拟... 相似文献
14.
Summer precipitation over the Yangtze River basin (YRB) in 2020 experienced a strong subseasonal and synoptic fluctuation in addition to contributing to an exceptionally large seasonal mean precipitation. The cause of this higher-frequency fluctuation is examined based on observational analyses. Apart from the continuous northward movement of the climatological mei-yu rainband, the mei-yu rainbelt in the summer of 2020 experienced multiple northward and southward swings. The cause of the swings was attributed to the subseasonal variability of southerly winds to the south and northeasterly winds to the north of the YRB. In addition, synoptic-scale variability, characterized by the eastward propagation of low-level cyclonic vorticity and precipitation anomalies, was also commonplace in the summer of 2020. While the strengthening of both the subseasonal and synoptic variabilities in the summer of 2020 was attributed to the increase of the background mean moisture, the synoptic variability was greatly affected by the subseasonal rainfall variability. As a result, both the synoptic-scale and subseasonal variabilities contributed to the north-south swings of the rainbelt. The large-scale modulations by both the seasonal mean and subseasonal anomalies provide insight regarding the optimization of issuing accurate, extended-range forecasts of extreme weather events. 相似文献
15.
利用Hadley中心海温资料、NCEP/NCAR再分析资料和中国740站逐日降水资料,运用一点滞后相关等方法,分析了非ENSO年长江流域夏季降水特征,并以1993年为例探讨了非ENSO年波包活动特征及其对长江流域夏季降水的影响。结果表明：非ENSO年长江中下游地区夏季降水年际和年代际变化明显,20世纪90年代初强降水事件多发。在1993年,波包起源于里海南侧,自西向东向长江中下游地区传播,为长江流域夏季降水的发生提供了必要的扰动能量积聚。通过非ENSO年和ENSO年波包活动个例的初步对比,发现非ENSO年的南支波导作用较为明显,波包主要表现为自西向东传至长江中下游地区;而作为ENSO年的1983年,则存在一支明显的偏北波导,使波包沿着西北-东南向的路径向下游传播,最终到达长江中下游地区。这些结果有利于深刻认识非ENSO年长江流域夏季强降水事件的形成机理。 相似文献
16.
The WRF 3DVar System Combined with Physical Initialization for
Assimilation of Doppler Radar Data 
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下载免费PDF全文 The three-dimensional variational data assimilation (3DVar) system of the Weather Research and Forecasting (WRF) model (WRF-Var) is further developed with a physical initialization (PI)
procedure to assimilate Doppler radar radial velocity and reflectivity observations. In this updated 3DVar system, specific humidity, cloud water content, and vertical velocity are first derived from reflectivity with PI, then the model fields of specific humidity and cloud water content are replaced with the modified ones, and finally, the estimated vertical velocity is added to the cost-function of the existing WRF-Var (version 2.0) as a new observation type, and radial velocity observations are assimilated directly by the method afforded by WRF-Var. The new assimilation scheme is tested with a heavy convective precipitation event in the middle reaches of Yangtze River on 19 June 2002 and a Meiyu front torrential rain event in the Huaihe River Basin on 5 July 2003. Assimilation results show that the increments of analyzed variables correspond well with the horizontal distribution of the observed reflectivity. There are positive increments of cloud water content, specific humidity, and
vertical velocity in echo region and negative increments of vertical velocity in echo-free region where the increments of horizontal winds present a clockwise transition. Results of forecast experiments show that the effects of adjusting cloud water content or vertical velocity directly with PI on forecast are not obvious. Adjusting specific humidity shows better performance in forecasting the precipitation than directly adjusting cloud water content or vertical velocity. Significant
improvement in predicting precipitation as well as in reducing the model's spin-up time are achieved when radial velocity and reflectivity observations are assimilated with the new scheme. 相似文献
17.
18.
采用1979—2007年6月NCEP/NCAR2.5°×2.5°逐日再分析资料和中国743站逐日降水资料,利用相关分析、合成分析等方法,分析了天气尺度波列的特征及其对长江中下游6月梅雨的影响。结果表明:当长江中下游6月梅雨较少时,东亚及西太平洋区域存在一个天气尺度波列;该波列的延伸距离较短(从黄河河套地区经过长江中下游至南海、菲律宾海一带),维持时间也很短,且仅仅在500 h Pa以下较强。诊断及个例分析表明,当该波列异常显著时,长江中下游梅雨降水明显减少,而其南部区域降水则增多,说明该波列对预报长江中下游降水具有重要的指示意义。 相似文献
19.
2020年发生在江淮流域,朝鲜半岛和日本南部(简称梅雨区)的暴力梅造成了巨大的人员伤亡和经济损失.此次暴力梅的主要特征为:入梅早(6月1日),出梅晚(8月1日)以及较强的梅雨期降水.2020年异常早入梅和晚出梅时期的降水占梅雨期总降水的一半以上.因此,为了深入解析2020暴力梅的机制,本文将分析2020异常早入梅和晚出... 相似文献
20.
利用1986-2015年上海虹桥机场低云资料、ERA-Interim再分析资料以及NOAA海面温度资料,对虹桥机场6月低云日数的年际变化进行了研究,并对导致其年际变化的原因进行了探讨。结果表明：虹桥机场低云在6月出现的天数最多,且6月低云日数具有显著的年际变化特征。影响虹桥机场6月低云日数年际变化的主要原因是：当副热带西风急流位置异常偏北时,虹桥机场处于急流入口区右侧,异常的上升气流有利于虹桥机场上空出现低云;当东南季风异常偏强时,来自低纬的水汽和来自北方的偏北气流能够在长江中下游地区聚汇,使得虹桥机场上空低云日数偏多。此外,ENSO对虹桥机场6月低云日数的年际变化具有重要影响。赤道中太平洋异常偏冷时,其上空的局地对流活动受到抑制,导致西北太平洋低纬地区对流层低层出现异常反气旋,该异常反气旋通过局地的风-蒸发-海面温度的正反馈过程得到增强,并在前期冬季形成后能够一直维持至6月,该异常反气旋有利于来自海洋的水汽在其南部偏东气流的输送下到达长江中下游地区,导致长江中下游地区降水偏多,有利于虹桥机场低云日数偏多。 相似文献