In this paper, time and space distribution regularity of meso-scale heavy rains in five selected typhoons which landed at Fujian from 1996 to 1998 has been analyzed. Besides, with hourly digitized satellite infrared i...In this paper, time and space distribution regularity of meso-scale heavy rains in five selected typhoons which landed at Fujian from 1996 to 1998 has been analyzed. Besides, with hourly digitized satellite infrared imagery, the features of the mesoscale are revealed for the genesis and evolution of mesoscale convective systems in typhoons. It indicates that the intensity of mesoscale storms is closely connected with the temperature and the area of the coldest cloud cluster. The heavy rainfall usually emerges on the eastern side of the mesoscale convective cloud clusters, where the cloud mass is developing and with a dense gradient and big curvature of isoline of the cloud top temperature.展开更多
Clustered heavy rains (CHRs) defined using hierarchical cluster analysis based on daily observations of precipitation in China during 1960-2008 are investi- gated in this paper. The geographical pattern of CHRs in C...Clustered heavy rains (CHRs) defined using hierarchical cluster analysis based on daily observations of precipitation in China during 1960-2008 are investi- gated in this paper. The geographical pattern of CHRs in China shows three high-frequency centers--South China, the Yangtze River basin, and part of North China around the Bohai Sea. CHRs occur most frequently in South China with a mean annual frequency of 6.8 (a total of 334 times during 1960-2008). June has the highest monthly frequency (2.2 times/month with a total of 108 times dur- ing 1960-2008), partly in association with the Meiyu phenomenon in the Yangtze River basin. Within the past 50 years, the frequency of CHRs in China has increased significantly from 13.5 to 17.3 times per year, which is approximately 28%. In the 1990s, the frequency of CHRs often reached 19.1 times per year. The geographical extent of CHR has expanded slightly by 0.5 stations, and its average daily rainfall intensity has increased by 3.7 mm d-1. The contribution of CHRs to total rainfall amount and the frequency of daily precipitation have increased by 63.1% and 22.7%, respectively, partly due to a significant decrease in light rains. In drying regions of North and Northeast China, the amounts of minimal CHRs have had no significant trend in recent years, probably due to warming in these arid regions enhancing atmospheric conveetivity at individual stations.展开更多
In order to further study the drop zone of torrential rain in Weifang and summarize the experience of forecasting torrential rain in the future,a special diagnosis analysis was made on the process of the torrential ra...In order to further study the drop zone of torrential rain in Weifang and summarize the experience of forecasting torrential rain in the future,a special diagnosis analysis was made on the process of the torrential rain.The meteorological information comprehensive analysis and processing system(MICAPS) 3.1 was used to carry out the analysis of profile and sounding to the conventional meteorological data,and finally numerical weather prediction was tested,which got the reason of production and omission of torrential rain.The results showed that one of the important reason of the torrential rain was caused by the combined effects of the dry cold air brought by the middle latitude shortwave trough and the southwest warm wet airflow brought by the jet flow,and the terrain influence caused by the Yishan in southern Liju County and the water evaporation in Mihe River was also an important reason.The main reason for the omission of the rain was caused by the over dependent on the rainfall forecast of numerical products and neglected the evolution of small scale process as well as analysis of the physical quantity field.Therefore,it was very important to monitor the actual weather situation and analyze all kinds of physical quantities for forecasting torrential rain.Besides,the forecaster should improve their ability in revising the numerical weather prediction.展开更多
The heaviest rainfall over 61 yr hit Beijing during 21-22 July 2012.Characterized by great rainfall amount and intensity,wide range,and high impact,this record-breaking heavy rainfall caused dozens of deaths and exten...The heaviest rainfall over 61 yr hit Beijing during 21-22 July 2012.Characterized by great rainfall amount and intensity,wide range,and high impact,this record-breaking heavy rainfall caused dozens of deaths and extensive damage.Despite favorable synoptic conditions,operational forecasts underestimated the precipitation amount and were late at predicting the rainfall start time.To gain a better understanding of the performance of mesoscale models,verification of high-resolution forecasts and analyses from the WRFbased BJ-RUCv2.0 model with a horizontal grid spacing of 3 km is carried out.The results show that water vapor is very rich and a quasi-linear precipitation system produces a rather concentrated rain area.Moreover,model forecasts are first verified statistically using equitable threat score and BIAS score.The BJ-RUCv2.0forecasts under-predict the rainfall with southwestward displacement error and time delay of the extreme precipitation.Further quantitative analysis based on the contiguous rain area method indicates that major errors for total precipitation(〉 5 mm h^(-1)) are due to inaccurate precipitation location and pattern,while forecast errors for heavy rainfall(〉 20 mm h^(-1)) mainly come from precipitation intensity.Finally,the possible causes for the poor model performance are discussed through diagnosing large-scale circulation and physical parameters(water vapor flux and instability conditions) of the BJ-RUCv2.0 model output.展开更多
文摘In this paper, time and space distribution regularity of meso-scale heavy rains in five selected typhoons which landed at Fujian from 1996 to 1998 has been analyzed. Besides, with hourly digitized satellite infrared imagery, the features of the mesoscale are revealed for the genesis and evolution of mesoscale convective systems in typhoons. It indicates that the intensity of mesoscale storms is closely connected with the temperature and the area of the coldest cloud cluster. The heavy rainfall usually emerges on the eastern side of the mesoscale convective cloud clusters, where the cloud mass is developing and with a dense gradient and big curvature of isoline of the cloud top temperature.
基金supported by the NationalBasic Research Program of China (Grant No. 2009CB421401)the Chinese Meteorological Administration Program (Grant No.GYHY200906009)
文摘Clustered heavy rains (CHRs) defined using hierarchical cluster analysis based on daily observations of precipitation in China during 1960-2008 are investi- gated in this paper. The geographical pattern of CHRs in China shows three high-frequency centers--South China, the Yangtze River basin, and part of North China around the Bohai Sea. CHRs occur most frequently in South China with a mean annual frequency of 6.8 (a total of 334 times during 1960-2008). June has the highest monthly frequency (2.2 times/month with a total of 108 times dur- ing 1960-2008), partly in association with the Meiyu phenomenon in the Yangtze River basin. Within the past 50 years, the frequency of CHRs in China has increased significantly from 13.5 to 17.3 times per year, which is approximately 28%. In the 1990s, the frequency of CHRs often reached 19.1 times per year. The geographical extent of CHR has expanded slightly by 0.5 stations, and its average daily rainfall intensity has increased by 3.7 mm d-1. The contribution of CHRs to total rainfall amount and the frequency of daily precipitation have increased by 63.1% and 22.7%, respectively, partly due to a significant decrease in light rains. In drying regions of North and Northeast China, the amounts of minimal CHRs have had no significant trend in recent years, probably due to warming in these arid regions enhancing atmospheric conveetivity at individual stations.
基金Supported by the Special Project for the Weathermen of Shandong Province(sdyby2012-07)~~
文摘In order to further study the drop zone of torrential rain in Weifang and summarize the experience of forecasting torrential rain in the future,a special diagnosis analysis was made on the process of the torrential rain.The meteorological information comprehensive analysis and processing system(MICAPS) 3.1 was used to carry out the analysis of profile and sounding to the conventional meteorological data,and finally numerical weather prediction was tested,which got the reason of production and omission of torrential rain.The results showed that one of the important reason of the torrential rain was caused by the combined effects of the dry cold air brought by the middle latitude shortwave trough and the southwest warm wet airflow brought by the jet flow,and the terrain influence caused by the Yishan in southern Liju County and the water evaporation in Mihe River was also an important reason.The main reason for the omission of the rain was caused by the over dependent on the rainfall forecast of numerical products and neglected the evolution of small scale process as well as analysis of the physical quantity field.Therefore,it was very important to monitor the actual weather situation and analyze all kinds of physical quantities for forecasting torrential rain.Besides,the forecaster should improve their ability in revising the numerical weather prediction.
基金Supported by the National(Key)Basic Research and Development(973)Program of China(2013CB430106)China Meteorological Administration Special Public Welfare Research Fund(GYHY201206005)+1 种基金National Natural Science Foundation of China(41175087)National Fund for Fostering Talents(J1103410)
文摘The heaviest rainfall over 61 yr hit Beijing during 21-22 July 2012.Characterized by great rainfall amount and intensity,wide range,and high impact,this record-breaking heavy rainfall caused dozens of deaths and extensive damage.Despite favorable synoptic conditions,operational forecasts underestimated the precipitation amount and were late at predicting the rainfall start time.To gain a better understanding of the performance of mesoscale models,verification of high-resolution forecasts and analyses from the WRFbased BJ-RUCv2.0 model with a horizontal grid spacing of 3 km is carried out.The results show that water vapor is very rich and a quasi-linear precipitation system produces a rather concentrated rain area.Moreover,model forecasts are first verified statistically using equitable threat score and BIAS score.The BJ-RUCv2.0forecasts under-predict the rainfall with southwestward displacement error and time delay of the extreme precipitation.Further quantitative analysis based on the contiguous rain area method indicates that major errors for total precipitation(〉 5 mm h^(-1)) are due to inaccurate precipitation location and pattern,while forecast errors for heavy rainfall(〉 20 mm h^(-1)) mainly come from precipitation intensity.Finally,the possible causes for the poor model performance are discussed through diagnosing large-scale circulation and physical parameters(water vapor flux and instability conditions) of the BJ-RUCv2.0 model output.