| In recent years,meteorological disasters caused by climate change have caused huge losses to human production and life.The research shows that wind field information plays a very important role in weather forecast and typhoon track tracking.Although there are many technologies to obtain wind field information at present,it is not easy to obtain wind field information in areas where there are few stations such as mountains and deserts.With the launch of geostationary meteorological satellites in various countries,a kind of satellite retrieval product-cloud wind guidance has made up for the lack of wind field information.The launch of FY-4A satellite marks that China’s satellite technology has reached a new height,and has extremely important value in improving China’s weather forecast and other aspects.This paper introduces the process of wind guide inversion based on the nominal projection data of FY-4A satellite,and adopts the global and local CLG optical flow model to calculate the wind guide.Firstly,the radiation calibration of satellite data is carried out to obtain the radiation brightness temperature value of infrared cloud image,and the row number of each pixel is converted into its corresponding geographical longitude and latitude by nominal projection.Then,CLG optical flow algorithm and multi-resolution image deformation calculation technology are used to solve the optical flow.According to the optical flow value of each pixel obtained corresponds to the longitude and latitude of its termination point,the real wind speed information is calculated by combining the Earth vector model formula.Finally,the quality of wind speed is monitored,inappropriate wind speed is eliminated,and the feasibility of the algorithm is verified by sounding data.The experimental results show that the CLG optical flow algorithm can be used for cloud wind guide inversion,and the mean deviation and root mean square error of wind speed at 300-700hp cloud height are less than 5.5m/s. |
PDF Full Text Request