本文以ERA5(ECMWF Reanalysis v5)再分析资料为初始场,利用WRF(The Weather Research and Forecasting)模式对2020年4月19~20日的一次大范围暴雪天气过程进行数值模拟研究。模式采用不同云微物理参数化方案进行敏感性试验,并与实测数据...本文以ERA5(ECMWF Reanalysis v5)再分析资料为初始场,利用WRF(The Weather Research and Forecasting)模式对2020年4月19~20日的一次大范围暴雪天气过程进行数值模拟研究。模式采用不同云微物理参数化方案进行敏感性试验,并与实测数据(自动站降水数据、雷达基数据)进行对比,分析了此次暴雪天气过程不同阶段的降水、雷达反射率、动热力和水凝物的时空演变和三维细致结构特征。研究表明:Morrison方案更好的模拟出了本次暴雪天气过程,表现在模拟的雷达回波强度、范围及形态更与实况一致,模拟出的降水量的相关系数和均方根误差都优于其他方案;其微物理细致结构表现为强上升运动和低层正涡度的长时间维持,以及7 km以上高层较多的冰晶、中低层较少的霰粒子和雨水粒子。从热动力场上看,bin(SBM fast)方案在600 hPa高度以下存在明显的涡度波列,这主要是因为bin方案将粒子群分档处理,没有捆绑不同粒子类型运动,更能细致描述出不同粒子的下沉拖曳作用。从云微物理特征上看,不同方案模拟的雪、霰、云水以及雨水粒子的比质量都较为接近,而对冰晶比质量的模拟不管在量级还是在分布范围上都存在很大的差异,这种差异决定了不同微物理方案模拟的雷达回波和降水量级和相态的差异。展开更多
We explored and studied rainstorm disaster impact grade. Firstly,we selected average precipitation,precipitation intensity,coverage and duration during rainstorm process,and economic losses,the number of deaths and to...We explored and studied rainstorm disaster impact grade. Firstly,we selected average precipitation,precipitation intensity,coverage and duration during rainstorm process,and economic losses,the number of deaths and total casualties in rainstorm disaster situation as the pre-assessment indexes of rainstorm process impact grade along the middle and lower reaches of Yangtze River. Then,normalized and dimensionless processing of each index was conducted. By using gray correlation method,we established rainstorm process grade and rainstorm disaster impact grade. At last,we conducted regression analysis of relevancy degree between rainstorm process grade and rainstorm disaster situation grade,and established a linear relationship between the two,thereby getting a rainstorm disaster pre-assessment method. On this basis,using rainstorm hazard factors in independent sample,we carried out pre-assessment test of disaster impact grade. The results show that this pre-assessment method is quick and easy,and the effect is better.展开更多
文摘本文以ERA5(ECMWF Reanalysis v5)再分析资料为初始场,利用WRF(The Weather Research and Forecasting)模式对2020年4月19~20日的一次大范围暴雪天气过程进行数值模拟研究。模式采用不同云微物理参数化方案进行敏感性试验,并与实测数据(自动站降水数据、雷达基数据)进行对比,分析了此次暴雪天气过程不同阶段的降水、雷达反射率、动热力和水凝物的时空演变和三维细致结构特征。研究表明:Morrison方案更好的模拟出了本次暴雪天气过程,表现在模拟的雷达回波强度、范围及形态更与实况一致,模拟出的降水量的相关系数和均方根误差都优于其他方案;其微物理细致结构表现为强上升运动和低层正涡度的长时间维持,以及7 km以上高层较多的冰晶、中低层较少的霰粒子和雨水粒子。从热动力场上看,bin(SBM fast)方案在600 hPa高度以下存在明显的涡度波列,这主要是因为bin方案将粒子群分档处理,没有捆绑不同粒子类型运动,更能细致描述出不同粒子的下沉拖曳作用。从云微物理特征上看,不同方案模拟的雪、霰、云水以及雨水粒子的比质量都较为接近,而对冰晶比质量的模拟不管在量级还是在分布范围上都存在很大的差异,这种差异决定了不同微物理方案模拟的雷达回波和降水量级和相态的差异。
基金Supported by Forecaster Special Item of China Meteorological Administration(CMAYBY2014-011)
文摘We explored and studied rainstorm disaster impact grade. Firstly,we selected average precipitation,precipitation intensity,coverage and duration during rainstorm process,and economic losses,the number of deaths and total casualties in rainstorm disaster situation as the pre-assessment indexes of rainstorm process impact grade along the middle and lower reaches of Yangtze River. Then,normalized and dimensionless processing of each index was conducted. By using gray correlation method,we established rainstorm process grade and rainstorm disaster impact grade. At last,we conducted regression analysis of relevancy degree between rainstorm process grade and rainstorm disaster situation grade,and established a linear relationship between the two,thereby getting a rainstorm disaster pre-assessment method. On this basis,using rainstorm hazard factors in independent sample,we carried out pre-assessment test of disaster impact grade. The results show that this pre-assessment method is quick and easy,and the effect is better.