卫星资料变分同化在一次中尺度强暴雨模拟中的应用

利用ATOVS资料和常规观测资料, 采用GRAPES 3D-Var同化系统和中尺度数值模式MM5设计了仅同化常规观测资料的NOATOVS试验和同化常规观测资料及ATOVS辐射率资料的ATOVS试验, 对2004年6月22—24日长江中下游和西南地区东部的特大暴雨进行了分析和模拟。结果表明:直接同化ATOVS辐射率资料获得的分析场可以有效改进对流层温、湿场分布, 对风场也有一定的影响。对比试验结果表明:ATOVS试验可以较好地模拟出暴雨天气形势、主要影响系统, 对降雨的落区、强度也有较好的反映, 模拟的局地暴雨强度与实际降雨量基本一致, 同化卫星资料的改善效果较为明显。即同化ATOVS资料对于改进中尺度局地暴雨过程模拟效果是可行的。     

Assimilating All-sky Infrared Radiances from Himawari-8 Using the 3DVar Method for the Prediction of a Severe Storm over North China

Although radar observations capture storm structures with high spatiotemporal resolutions, they are limited within the storm region after the precipitation formed. Geostationary satellites data cover the gaps in the radar network prior to the formation of the precipitation for the storms and their environment. The study explores the effects of assimilating the water vapor channel radiances from Himawari-8 data with Weather Research and Forecasting model data assimilation system(WRFDA) for a severe storm case over north China. A fast cloud detection scheme for Advanced Himawari imager(AHI)radiance is enhanced in the framework of the WRFDA system initially in this study. The bias corrections, the cloud detection for the clear-sky AHI radiance, and the observation error modeling for cloudy radiance are conducted before the data assimilation. All AHI radiance observations are fully applied without any quality control for all-sky AHI radiance data assimilation. Results show that the simulated all-sky AHI radiance fits the observations better by using the cloud dependent observation error model, further improving the cloud heights. The all-sky AHI radiance assimilation adjusts all types of hydrometeor variables, especially cloud water and precipitation snow. It is proven that assimilating all-sky AHI data improves hydrometeor specifications when verified against the radar reflectivity. Consequently, the assimilation of AHI observations under the all-sky condition has an overall improved impact on both the precipitation locations and intensity compared to the experiment with only conventional and AHI clear-sky radiance data.     

Assimilation of All-sky Geostationary Satellite Infrared Radiances for Convection-Permitting Initialization and Prediction of Hurricane Joaquin (2015)

Intensity forecasting is one of the most challenging aspects of tropical cyclone(TC) forecasting. This work examines the impact of assimilating high-resolution all-sky infrared radiance observations from geostationary satellite GOES-13 on the convection-permitting initialization and prediction of Hurricane Joaquin(2015) with an ensemble Kalman filter(EnKF)based on the Weather Research and Forecasting(WRF) model. Given that almost all operational global and regional models struggled to capture Hu...     

华东地区一次飑线过程的数值模拟与诊断分析

本文利用ARPS(Advanced Regional Prediction System)同化多部多普勒雷达观测资料和常规地面探空观测资料,对2009年8月17日发生在我国华东地区的一次飑线过程进行高分辨率数值模拟;利用模拟输出资料,分析该飑线过程的动力和热力特征和对流线单体后向新生的环境条件。研究结果表明:(1)在飑线系统初生阶段,从飑线后部(北方)的团状对流系统的低层MCV(mesoscale convective vortex)中南下的冷空气与西南暖湿气流相遇激发强对流,促进飑线发展;随着飑线系统的发展和南移,团状强对流系统的低层MCV的气旋性环流对飑线的影响逐渐减弱,而飑线本身产生的低层冷池向外辐散的冷空气与环境场西南暖湿气流辐合成为飑线持续发展的主要动力。(2)本次飑线系统属于典型的后向新生型飑线,由4条处于不同发展阶段的对流线合并而成,对流线上对流单体的后向新生是动力和热力过程共同作用的结果,既需要一定的对流抑制能量促进对流有效位能的累积,也需要一定的环境风场垂直切变、低层风场的辐合和水平涡管向垂直涡度的转化。     

THE GATE SQUALL LINE OF 9－10 AUGUST 1974

A tropical squall line that passed over the ship array of the Global Atmospheric Research Programme’s Atlantic Tropical Experiment (GATE) on 9－10 August 1974 is analyzed. This squall line was similar to squall systems that passed over the GATE ship array on four other days. It began as a purely convective cloud line, then developed an associated stratiform cloud and precipitation area. The stratiform rain built up to a maxi-mum amount over a period of 8 h, then gradually diminished over a 6 h period. This stratiform rain is esti-mated to have accounted for 32% of the squall system’s total precipitation. As in other GATE squall lines, the upper-level cloud shield from which the stratiform rain fell, was advected slowly forward of the line during the system’s lifetime, the leading line of corrective clouds consisted of transient smaller-scale convective elements, which lent the line an irregular shape and pulsatory movement, and the stratiform portion of the system was characterized by the development of a mid-level mesoscale vortex similar to that seen in other GATE eases.     

一次低涡切变影响云南大雨过程分析

利用昆明 3830 /CC多普勒天气雷达观测资料 ,结合MICAPS客观分析资料 ,对 2 0 0 3年 9月 2日的一次大雨天气过程进行分析。结果表明 :在有利的低涡切变和地面冷锋环流背景和有利的热力、动力条件下 ,不断触发中尺度切变线和中尺度涡旋的生成和发展。中尺度切变线和中尺度涡旋是强对流生成和发展的动力 ,先后生成“人”字型回波、飑线和两个中尺度絮状回波团直接导致大雨天气过程 ,表现出了许多中尺度特征 ,零速度线的位置、变化和正、负速度相对位置的演变与中尺度天气系统的生成和发展密切相关。     

Radar data assimilation of the GRAPES model and experimental results in a typhoon case

Constructing β-mesoscale weather systems in initial fields remains a challenging problem in a mesoscale numerical weather prediction (NWP) model. Without vertical velocity matching the β-mesoscale weather system, convection activities would be suppressed by downdraft and cooling caused by precipitating hydrometeors. In this study, a method, basing on the three-dimensional variational (3DVAR) assimilation technique, was developed to obtain reasonable structures of β-mesoscale weather systems by assimilating radar data in a next-generation NWP system named GRAPES (the Global and Regional Assimilation and Prediction System) of China. Single-point testing indicated that assimilating radial wind significantly improved the horizontal wind but had little effect on the vertical velocity, while assimilating the retrieved vertical velocity (taking Richardson's equation as the observational operator) can greatly improve the vertical motion. Experiments on a typhoon show that assimilation of the radial wind data can greatly improve the prediction of the typhoon track, and can ameliorate precipitation to some extent. Assimilating the retrieved vertical velocity and rainwater mixing ratio, and adjusting water vapor and cloud water mixing ratio in the initial fields simultaneously, can significantly improve the tropical cyclone rainfall forecast but has little effect on typhoon path. Joint assimilating these three kinds of radar data gets the best results. Taking into account the scale of different weather systems and representation of observational data, data quality control, error setting of background field and observation data are still requiring further in-depth study.     

江淮地区暖区飑线中尺度观测研究

本文依据地面、高空常规资料,华东中尺度天气试验加密资料,地面温、压、湿、风、降水自记及卫星、雷达资料,对1983年4月27日晚至28日晨的江淮地区暖区飑线进行分析,揭示了飑线的一些有意思的特征。分析表明,飑线经大别山东侧自西向东传播,接近低空西南风急流轴时,对流强度发生变化;飑线过境有短时增温、伴有降性阵水特征;飑线的地面气压由β尺度的飑前中低压、飑后中高压及紧随其后的对称中低压组成。由空间结构分析看到飑前有自近地层开始的暖湿入流,飑后有来自对流层中高层的下沉气流等特征。将其和热带及美国的中纬度飑线比较发现,这次暖区飑线的气压场、温度场、风场及天气分布与经典飑线有差异,与热带及美国中纬度飑线也有区别,我们认为这是副热带地区暖区飑线的特点。     

一次飑线引发的大风强沙尘暴诊断分析

利用常规探测、地面加密观测、T213数值预报产品和FY-2c/2d红外卫星云图资料,对2008年5月2日河西走廊东部飑线引发的大风强沙尘暴过程进行了天气动力诊断和中尺度分析.结果表明:飑线引发的强风暴是产生强沙尘暴的根本原因.河西走廊东部处在不稳定大气层结中,500hPa阶梯短波槽为飑线提供了大尺度环流背景;700hPa变形场是飑线的触发系统;地面热低压的发展加大了冷锋前后的气压和温度梯度,为对流发展提供了热力不稳定条件;高空急流对于飑线的生成、发展具有重要的作用.     

Assimilating surface observations in a four-dimensional variational Doppler radar data assimilation system to improve the analysis and forecast of a squall line case

This paper examines how assimilating surface observations can improve the analysis and forecast ability of a fourdimensional Variational Doppler Radar Analysis System(VDRAS).Observed surface temperature and winds are assimilated together with radar radial velocity and reflectivity into a convection-permitting model using the VDRAS four-dimensional variational(4DVAR) data assimilation system.A squall-line case observed during a field campaign is selected to investigate the performance of the technique.A single observation experiment shows that assimilating surface observations can influence the analyzed fields in both the horizontal and vertical directions.The surface-based cold pool,divergence and gust front of the squall line are all strengthened through the assimilation of the single surface observation.Three experiments—assimilating radar data only,assimilating radar data with surface data blended in a mesoscale background,and assimilating both radar and surface observations with a 4DVAR cost function—are conducted to examine the impact of the surface data assimilation.Independent surface and wind profiler observations are used for verification.The result shows that the analysis and forecast are improved when surface observations are assimilated in addition to radar observations.It is also shown that the additional surface data can help improve the analysis and forecast at low levels.Surface and low-level features of the squall line—including the surface warm inflow,cold pool,gust front,and low-level wind—are much closer to the observations after assimilating the surface data in VDRAS.     

Evaluation of All-Sky Assimilation of FY-3C/MWHS-2 on Mei-yuPrecipitation Forecasts over the Yangtze-Huaihe River Basin

正1School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610025, China2International Center for Climate and Environment Sciences, Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029, China3University of Chinese Academy of Sciences, Beijing 100049, China     

2007年7月皖苏北部龙卷风初步分析

2007年7月3日0840-1000(UTC)先后在安徽天长-江苏高邮和江苏兴化等局部地区发生了多个龙卷风,成为本年度的极端天气事件之一.利用高频次的FY-2C、2D等静止气象卫星资料、南京站多普勒天气雷达资料和常规天气资料对这次龙卷风天气系统的活动与演变进行了分析,得到以下认识:叠加在梅雨锋切变线上的高空短波槽线,及槽后强干冷空气平流与低空暖湿平流在垂直方向迭合,并与200hPa青藏高压东西向脊线北侧的辐散场重合,为强对流天气系统的发展提供了动力和热力条件;0400(UTC)之后,在鄂豫皖苏交界区形成了两条中尺度对流云带.一条是与梅雨锋切变线相对应的弱对流云带,另一条是位于其南面的在上述干冷空气前沿迅速发展的飑线云带.切变线弱对流云带整体缓慢向南移动,构成云带的对流云块沿着云带缓慢向东移动.强对流飑线云带则由西北西向东南东方向移动,构成飑线云带的强对流云团则沿着云带由西南西向东北东方向移动.龙卷风就发生在上述两条中尺度对流云带的云团相交合并处.     

Variational Assimilation of GPS Precipitable Water Vapor and Hourly Rainfall Observations for a Meso-β Scale Heavy Precipitation Event During the 2002 Mei-Yu Season

Recent advances in Global Positioning System （GPS） remote sensing technology allow for a direct estimation of the precipitable water vapor （PWV） from delayed signals transmitted by GPS satellites, which can be assimilated into numerical models with four-dimensional variational （4DVAR） data assimilation. A mesoscale model and its 4DVAR system are used to access the impacts of assimilating GPS-PWV and hourly rainfall observations on the short-range prediction of a heavy rainfall event on 20 June 2002. The heavy precipitation was induced by a sequence of meso-β-scale convective systems （MCS） along the mei-yu front in China. The experiments with GPS-PWV assimilation cluster and also eliminated the erroneous rainfall successfully simulated the evolution of the observed MCS systems found in the experiment without 4DVAR assimilation. Experiments with hourly rainfall assimilation performed similarly both on the prediction of MCS initiation and the elimination of erroneous systems, however the MCS dissipated much sooner than it did in observations. It is found that the assimilation-induced moisture perturbation and mesoscale low-level jet are helpful for the MCS generation and development. It is also discovered that spurious gravity waves may post serious limitations for the current 4DVAR algorithm, which would degrade the assimilation efficiency, especially for rainfall data. Sensitivity experiments with different observations, assimilation windows and observation weightings suggest that assimilating GPS-PWV can be quite effective, even with the assimilation window as short as 1 h. On the other hand, assimilating rainfall observations requires extreme cautions on the selection of observation weightings and the control of spurious gravity waves.     

Variational Assimilation of GPS Precipitable Water Vapor and Hourly Rainfall Observations for a Meso-β Scale Heavy Precipitation Event During the 2002 Mei-Yu Season

Recent advances in Global Positioning System (GPS) remote sensing technology allow for a direct estimation of the precipitable water vapor (PWV) from delayed signals transmitted by GPS satellites, which can be assimilated into numerical models with four-dimensional variational (4DVAR) data assimilation. A mesoscale model and its 4DVAR system are used to access the impacts of assimilating GPS-PWV and hourly rainfall observations on the short-range prediction of a heavy rainfall event on 20 June 2002. The heavy precipitation was induced by a sequence of meso-β-scale convective systems (MCS) along the mei-yu front in China.The experiments with GPS-PWV assimilation successfully simulated the evolution of the observed MCS cluster and also eliminated the erroneous rainfall systems found in the experiment without 4DVAR assimilation. Experiments with hourly rainfall assimilation performed similarly both on the prediction of MCS initiation and the elimination of erroneous systems, however the MCS dissipated much sooner than it did in observations. It is found that the assimilation-induced moisture perturbation and mesoscale low-level jet are helpful for the MCS generation and development. It is also discovered that spurious gravity waves may post serious limitations for the current 4DVAR algorithm, which would degrade the assimilation efficiency, especially for rainfall data. Sensitivity experiments with different observations, assimilation windows and observation weightings suggest that assimilating GPS-PWV can be quite effective, even with the assimilation window as short as 1 h. On the other hand, assimilating rainfall observations requires extreme cautions on the selection of observation weightings and the control of spurious gravity waves.     

一次短时强对流天气的雷达产品特征分析

对2016年8月27日芒市地区产生局地强对流天气的雷达回波资料进行分析。分析结果表明:这是一次典型的对流单体和飑线系统汇合加强影响下产生的短时强对流天气,RCS剖面对流高度能直观反应出单点强对流的发展情况;飑线生成、发展壮大过程中,飑线产生的短时强降水和雷暴天气是逐步加强的,而飑线系统与强对流风暴合并短时内导致雷暴天气加强和降雨量增大;飑线衰弱过程与雷达二次产品SS中的最大反射率所在位置高度的递减规律趋势符合,是飑线系统减弱的预报指标。这次强对流过程从天气形势上未做出准确预报,希望从多普勒天气雷达产品资料分析中得出的预报特征能帮助今后提前发布强对流天气预警。     

基于雷达资料同化的飑线过程数值模拟试验研究

利用中尺度WRF模式及其3DVAR 同化系统对2014年3 月30 日发生在我国华南地区的一次飑线过程展开多普勒天气雷达资料的同化效果试验研究.首先对雷达资料进行去地物杂波、退速度模糊等预处理,后设计了基于不同雷达观测量的同化试验及同化频次的敏感性试验.结果表明:直接循环同化雷达径向风资料和雷达反射率因子能够增加数值模...     

EnSRF雷达资料同化在一次飑线过程中的应用研究

本文利用包含复杂冰相微物理过程的WRF（Weather Research and Forecasting）模式,针对2007年4月23日发生在我国华南地区的一次典型飑线天气过程,分别进行了确定性预报和集合预报试验,发现确定性预报能大致捕捉到飑线系统的发生发展过程,但对飑线后部的层云区模拟效果较差。集合预报能够有效地减少模式的不确定性,大部分集合成员对飑线的模拟效果优于确定性预报。进一步将集合预报得到的40个成员作为背景场,采用EnSRF（Ensemble Square Root Filter）同化多普勒天气雷达资料,并将分析得到的集合作为初始场进行集合预报,通过与未同化雷达资料的集合对比,考察了EnSRF同化多部雷达资料对飑线系统的影响。结果表明:EnSRF雷达资料同化增加了模式初始场的中小尺度信息,大部分集合成员的分析场能够较准确地再现飑线的热力场、动力场和微物理场的细致特征,并且模拟出飑线后部的层云结构。通过对EnSRF分析的集合进行模拟发现,大部分集合成员较未同化雷达资料时模拟效果有明显改善。同化后的集合预报ETS（Equitable Threat Score）评分最高,其次是未同化的集合预报,确定性预报的最低。     

华东飑线过程中的地面中尺度物理特征

本文利用华东中尺度天气试验资料和雷达回波,分析了9例强飑线过程中逐时地面物理量场的变化。提出中尺度散度场的配置及变化与中尺度强对流天气有十分密切的关系,而中尺度扰动辐合强度演变与锋前暖区内的中尺度扰动风场汇合线有关,这些关系往往能预示中尺度强对流天气的出现和发展。有时,在飑线发展的过程中具有中尺度重力波特征。     

Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives

Satellite infrared(IR)sounder and imager measurements have become one of the main sources of data used by data assimilation systems to generate initial conditions for numerical weather prediction(NWP)models and atmospheric analysis/reanalysis.This paper reviews the development of satellite IR data assimilation in NWP in recent years,especially the assimilation of all-sky satellite IR observations.The major challenges and future directions are outlined and discussed.     

Numerical prediction of an intense convective system associated with the July 1987 montreal flood. part I: Gravity waves and the squall line

Abstract

In this study, a 24‐h high‐resolution numerical prediction of a prefrontal squall line associated with the 14 July 1987 Montreal flood is employed to investigate the origin and role of mesoscale gravity waves in the development of the squall system. The 24‐h integration using an improved mesoscale version of the Canadian regional finite‐element model is first validated against available observations; then non‐observable features are diagnosed to reveal the relationship between deep convection and gravity wave events. It is shown that the model reproduces well many aspects of the squall line, such as the propagation and organization of the convective system, as well as its associated precipitation. It is found that gravity waves are first excited near Lake Erie, following the initiation of early convective activity. Then, these waves propagate eastward and northeastward at speeds of 20 and 35 m s^‐1, respectively. As the waves propagate downstream, deep convection radiates rapidly behind the wave trough axis, forming a long line of squall convection. Because the squall line moves with the gravity waves in a “phase‐locked” manner, deep convection has a significant influence on the structure and amplitude of the gravity waves. The sensitivity of the wave‐squall prediction to various parameters in convective parameterization is also examined.