Impact of 4DVAR assimilation of rainfall data on the simulation of mesoscale precipitation systems in a mei-yu heavy rainfall event

The multi-scale weather systems associated with a mei-yu front and the corresponding heavy precipitation during a particular heavy rainfall event that occurred on 4 5 July 2003 in east China were successfully simulated through rainfall assimilation using the PSU/NCAR non-hydrostatic, mesoscale, numerical model （MM5） and its four-dimensional, variational, data assimilation （4DVAR） system. For this case, the improvement of the process via the 4DVAR rainfall assimilation into the simulation of mesoscale precipitation systems is investigated. With the rainfall assimilation, the convection is triggered at the right location and time, and the evolution and spatial distribution of the mesoscale convective systems （MCSs） are also more correctly simulated. Through the interactions between MCSs and the weather systems at different scales, including the low-level jet and mei-yu front, the simulation of the entire mei-yu weather system is significantly improved, both during the data assimilation window and the subsequent 12-h period. The results suggest that the rainfall assimilation first provides positive impact at the convective scale and the influences are then propagated upscale to the meso- and sub-synoptic scales.
Through a set of sensitive experiments designed to evaluate the impact of different initial variables on the simulation of mei-yu heavy rainfall, it was found that the moisture field and meridional wind had the strongest effect during the convection initialization stage, however, after the convection was fully triggered, all of the variables at the initial condition seemed to have comparable importance.     

基于现场观测的辽东湾东岸海冰环境基本特征

全面获取气-冰-海环境特征数据已成为当前冬季现场观测的重要任务,用于准确、快速开展区域冰情评价预测,以满足海冰防灾减灾工作需求。基于辽东湾东岸鲅鱼圈雷达海冰观测站（15a）与温坨子附近海域（9a）的冬季观测数据,对辽东湾东岸的风、水温、海冰时空分布等环境基本特征进行了探讨。对鲅鱼圈站1月和2月4级风（5.5m·s-1）以上数据进行分析,发现偏北风自2016年以来呈现由N、NNE、NE向NE转变,偏南风自2016年以来主风向由SSW向WSW转变。对温坨子海冰观测站水温观测数据进行分析,发现水温表现出降温期、平稳期与回温期,降温期发生于12月至次年1月中旬,平稳期发生于1月下旬至2月中旬,回温期发生于2月下旬;当气温低于-10℃时,水温基本维持在-1.4℃附近,气温处于-10～-5℃时,水温基本分布于-1.4～-0.5℃区间,气温处于-5～5℃时,观测点水温基本分布于-1.4～3℃。对鲅鱼圈站与温坨子站能见范围内的逐日海冰分布面积比例进行分析,发现海冰面积呈现增大期、稳定期与减少期,鲅鱼圈站附近12月12日至次年1月9日前后为增大期（对应初冰期）,1月9日前后至2月8日前后为稳定期（对应盛...     

Reliability of X-band Dual-polarization Phased Array Radars Through Comparison with an S-band Dual-polarization Doppler Radar

Based on the observations of a squall line on 11 May 2020 and stratiform precipitation on 6 June 2020 from two X-band dual-polarization phased array weather radars(DP-PAWRs) and an S-band dual-polarization Doppler weather radar(CINRAD/SA-D), the data reliability of DP-PAWR and its ability to detect the fine structures of mesoscale weather systems were assessed. After location matching, the observations of DP-PAWR and CINRAD/SA-D were compared in terms of reflectivity(ZH), radial velocity(V), dif...     

鲅鱼圈地区污染气象特征分析

利用近3a的鲅鱼圈地区地面常规气象资料和2005年3～4月鲅鱼圈地区低空污染气象探测资料,分析了鲅鱼圈地区低空污染气象特征。结果表明:鲅鱼圈地区各类型风速廓线出现频率比较均匀,而且由于地面粗糙度较大,因此风速廓线指数比平原地区稍大。     

Seasonal evaluation of rainfall estimation by four cumulus parameterization schemes and their sensitivity analysis

Sustainable water resources management require scientifically sound information on precipitation, as it plays a key role in hydrological responses in a catchment. In recent years, mesoscale weather models in conjunction with hydrological models have gained great attention as they can provide high‐resolution downscaled weather variables. Many cumulus parameterization schemes (CPSs) have been developed and incorporated into three‐dimensional Pennsylvania State University/National Center for Atmospheric Research (PSU/NCAR) mesoscale model 5 (MM5). This study has performed a comprehensive evaluation of four CPSs (the Anthes–Kuo, Grell, Betts–Miller and Kain–Fritsch93 schemes) to identify how their inclusion influences the mesoscale model's precipitation estimation capabilities. The study has also compared these four CPSs in terms of variability in rainfall estimation at various horizontal and vertical levels. For this purpose, the MM5 was nested down to resolution of 81 km for Domain 1 (domain span 21 × 81 km) and 3 km for Domain 4 (domain span 16 × 3 km), respectively, with vertical resolutions at 23, 40 and 53 vertical levels. The study was carried out at the Brue catchment in Southwest England using both the ERA‐40 reanalysis data and the land‐based observation data. The performances of four CPs were evaluated in terms of their ability to simulate the amount of cumulative rainfall in 4 months in 1995 representing the four seasonal months, namely, January (winter), March (spring), July (summer) and October (autumn). It is observed that the Anthes–Kuo scheme has produced inferior precipitation values during spring and autumn seasons while simulations during winter and summer were consistently good. The Betts–Miller scheme has produced some reasonable results, particularly at the small‐scale domain (3 km grid size) during winter and summer. The KF2 scheme was the best scheme for the larger‐scale (81 km grid size) domain during winter season at both 23 and 53 vertical levels. This scheme tended to underestimate rainfall for other seasons including the small‐scale domain (3 km grid size) in the mesoscale. The Grell scheme was the best scheme in simulating rainfall rates, and was found to be superior to other three schemes with consistently better results in all four seasons and in different domain scales. Copyright © 2011 John Wiley & Sons, Ltd.     

Some remarks on cumulus parameterization

A simple parameterization of cumulonimbus convective heating is presented. The model is primarily based on preserving a moisture budget and on detraining cloud air at levels corresponding to the neutral buoyancy of the air converged at low levels. Results are compared with data from the western Pacific and GATE. Agreement is good. Suggestions are offered for improving the model and extending it to other regions.     

9012台风倒槽结构与暴雨中尺度系统

利用高空资料、地面资料和红外卫星云图资料,对发生在浙江中北部的9012台风倒槽暴雨的机制进行分析,揭示了该台风倒槽的结构和暴雨的环境场。并进一步研究了产生暴雨的中尺度暴雨云团及其周围的垂直气流分布与地面降水的对应关系。对暴雨云团所对应的高、中、低(地面)层系统亦进行了分析。     

8807号台风局地特大暴雨过程中尺度分析

分析了８８０７号台风所引发的局地特大暴雨成因：（１）台风提供了足够的水汽；（２）台风螺旋状云雨区和太阳辐射不均匀，形成了低层中尺度锋区，为暴雨发生提供极不稳定能量和触发条件；（３）局地地形和摩擦因子使湖北省宜昌地区成为这次对流云发展较有利的地点；（４）高空的中尺度降压系统和涡度因子加强了对流云团的发展。     

A CASE OF MESOSCALE CONVECTIVE COMPLEX EVOLVING INTO A VORTEX

A case of mesoscale convective complex(MCC)which evolved into a vortex is documented in this paper.As theMCC entered into the dissipating phase,a well-defined spirally banded structure became visible in the satellite image.The blackbody temperature(TBB)of the residual cold-cloud-shield indicates the vortex existed in the layer from 400 to250 hPa.According to the upper air analysis,the upper level vortex was an anticyclone.The MCC-generated vortex wasvisualized in the satellite images because it was located in the subtropical high where the wind field was very weak.     

1989年7月川东大暴雨中尺度对流系统分析

使用气象卫星资料，分析了１９８９年７月发生在四川东部的４个中尺度对流系统的特征，第一个系统是由３个对流云团合并而成，生成后快速向前移动，第二个为向后传播。第三个系统生成后，系统的西南部不断生成新的对流单体，使之维持准静止状态，最后一个系统的初期呈胞状结构，后与冷锋结合，成为冷锋云系的一部分，这４个系统都是西南低涡暖切变形势下的产物，随着形势演变，其大尺度环境略有差异。