In this paper, we first analyzed cloud drift wind(CDW) data distribution in the vertical direction, and then reassigned the height of every CDW in the research domain in terms of background information, and finally, c...In this paper, we first analyzed cloud drift wind(CDW) data distribution in the vertical direction, and then reassigned the height of every CDW in the research domain in terms of background information, and finally, conducted contrast numerical experiments of assimilating the CDW data before and after reassignment to examine the impacts on the forecast of the track of Typhoon Chanthu(1003) from 00:00(Coordinated Universal Time) 21 July to 00:00 UTC23 July, 2010. The analysis results of the CDW data indicate that the number of CDWs is mainly distributed in the midand upper-troposphere above 500 h Pa, with the maximum number at about 300 h Pa. The height reassigning method mentioned in this work may update the height effectively, and the CDW data are distributed reasonably and no obvious contradiction occurs in the horizontal direction after height reassignment. After assimilating the height-reassigned CDW data, especially the water vapor CDW data, the initial wind field around Typhoon Chanthu(1003) became more reasonable, and then the steering current leading the typhoon to move to the correct location became stronger. As a result, the numerical track predictions are improved.展开更多
Statistical tests and error analysis of cloud drift winds（CDWs） from the FY-2C satellite were made by using radiosonde observations.According to the error characteristics of the CDW,a bias correction using the therm...Statistical tests and error analysis of cloud drift winds（CDWs） from the FY-2C satellite were made by using radiosonde observations.According to the error characteristics of the CDW,a bias correction using the thermal wind theory was applied in the data quality control.The CDW data were then assimilated into the GRAPES-meso model via the GRAPES-3DVar.A torrential rain event that occurred in northwestern China during 1-2 July 2005 was simulated.The results indicate that the CDW data were mainly distributed above 500 hPa and the largest amount of data were at 250 hPa.The CDW data below 500 hPa had errors in both the wind direction and wind speed,and the distribution of the errors was irregular,so these data were discarded.The CDW data above 500 hPa had smaller errors,which presented a Gaussian distribution,so these data were adopted.With the assimilation of the CDW data,the southwest airflow near the torrential rain area became stronger in the initial wind field,which intensified the moisture transport and water vapor flux convergence,and finally improved the accuracy of the 24-h forecast of the torrential rain in both rain intensity and rain areal coverage.展开更多
基金Specialized Science Project for Public Welfare Industries(Metrological Sector)(GYHY201206010,GYHY201406009)Science and Technology Planning Project for Guangdong Province(2012A061400012)+3 种基金Program for the 12th Five-Year Economic Development(2012BAC22B00)Natural Science Foundation of China(41075083)Program for Integration and Application of Key Meteorological Techniques from CMA(CMAGJ2012M36)Project from Guangdong Meteorological Bureau(2013A04)
文摘In this paper, we first analyzed cloud drift wind(CDW) data distribution in the vertical direction, and then reassigned the height of every CDW in the research domain in terms of background information, and finally, conducted contrast numerical experiments of assimilating the CDW data before and after reassignment to examine the impacts on the forecast of the track of Typhoon Chanthu(1003) from 00:00(Coordinated Universal Time) 21 July to 00:00 UTC23 July, 2010. The analysis results of the CDW data indicate that the number of CDWs is mainly distributed in the midand upper-troposphere above 500 h Pa, with the maximum number at about 300 h Pa. The height reassigning method mentioned in this work may update the height effectively, and the CDW data are distributed reasonably and no obvious contradiction occurs in the horizontal direction after height reassignment. After assimilating the height-reassigned CDW data, especially the water vapor CDW data, the initial wind field around Typhoon Chanthu(1003) became more reasonable, and then the steering current leading the typhoon to move to the correct location became stronger. As a result, the numerical track predictions are improved.
基金Supported by the Natural Science Foundation of Yunnan Province(U0933603)the Yunnan Province Science and Technology Program(2009CA023)the Yunnan Province Key Science and Technology and High-tech Project(2006SG25)
文摘Statistical tests and error analysis of cloud drift winds（CDWs） from the FY-2C satellite were made by using radiosonde observations.According to the error characteristics of the CDW,a bias correction using the thermal wind theory was applied in the data quality control.The CDW data were then assimilated into the GRAPES-meso model via the GRAPES-3DVar.A torrential rain event that occurred in northwestern China during 1-2 July 2005 was simulated.The results indicate that the CDW data were mainly distributed above 500 hPa and the largest amount of data were at 250 hPa.The CDW data below 500 hPa had errors in both the wind direction and wind speed,and the distribution of the errors was irregular,so these data were discarded.The CDW data above 500 hPa had smaller errors,which presented a Gaussian distribution,so these data were adopted.With the assimilation of the CDW data,the southwest airflow near the torrential rain area became stronger in the initial wind field,which intensified the moisture transport and water vapor flux convergence,and finally improved the accuracy of the 24-h forecast of the torrential rain in both rain intensity and rain areal coverage.
