Using GPS precipitable water vapor( GPS-PWV) inverted based on the advanced ZHD model and localized T_m model,as well as hourly meteorological data from automatic weather station,the variation characteristics of atmos...Using GPS precipitable water vapor( GPS-PWV) inverted based on the advanced ZHD model and localized T_m model,as well as hourly meteorological data from automatic weather station,the variation characteristics of atmospheric water vapor and evolution features of GPS-PWV during 14 heavy rainfall events at Huaihua in 2017 were analyzed. As the results shown,GPS-PWV could reveal the variation characteristics of atmospheric water vapor in Huaihua region well. The monthly change of precipitable water vapor-pressure( PWV-P) data pair was evident. The PWV appeared a lower value with a smaller range accompanied by a 14.75 hPa higher surface air pressure than that in summer when precipitation occurred during winter,which gradually increased with a lower surface air pressure while precipitation occurred during spring. In summer,the PWV rose to the annual peak value with the lowest surface air pressure under rainfall,and it scattered to low-value area in autumn. In 14 heavy rainfall events at Huaihua during flood season of 2017,all of the PWV values exceeded corresponding monthly mean,besides there was a well corresponded relationship between the maximum rainfall and the maximum PWV in hourly scale. Before the heavy rainfall occurred,the PWV increased comparatively distinctly with a clear decrease of the surface air pressure,and that could be a preferably reference point in the local strong precipitation nowcasting.展开更多
基金Supported by the Scientific Research Project of Hunan Meteorological Bureau(XQKJ16B038XQKJ17B099)。
文摘Using GPS precipitable water vapor( GPS-PWV) inverted based on the advanced ZHD model and localized T_m model,as well as hourly meteorological data from automatic weather station,the variation characteristics of atmospheric water vapor and evolution features of GPS-PWV during 14 heavy rainfall events at Huaihua in 2017 were analyzed. As the results shown,GPS-PWV could reveal the variation characteristics of atmospheric water vapor in Huaihua region well. The monthly change of precipitable water vapor-pressure( PWV-P) data pair was evident. The PWV appeared a lower value with a smaller range accompanied by a 14.75 hPa higher surface air pressure than that in summer when precipitation occurred during winter,which gradually increased with a lower surface air pressure while precipitation occurred during spring. In summer,the PWV rose to the annual peak value with the lowest surface air pressure under rainfall,and it scattered to low-value area in autumn. In 14 heavy rainfall events at Huaihua during flood season of 2017,all of the PWV values exceeded corresponding monthly mean,besides there was a well corresponded relationship between the maximum rainfall and the maximum PWV in hourly scale. Before the heavy rainfall occurred,the PWV increased comparatively distinctly with a clear decrease of the surface air pressure,and that could be a preferably reference point in the local strong precipitation nowcasting.
