摘要
This paper presents a new type of rainfall retrieval algorithm,called the model-oriented statistical and Volterra integration.It is a combination of the model-oriented statistical（MOS） and Volterra integral equation（VIE） approaches.The steps involved in this new algorithm can be briefly illustrated as follows.Firstly,information such as the start point and width of the rain is obtained through pre-analysis of the data received by synthetic aperture radar（SAR）.Secondly,the VIE retrieval algorithm is employed over a short distance to obtain information on the shape of the rain.Finally,the rain rate can be calculated by using the MOS retrieval algorithm.Simulation results show that the proposed algorithm is effective and simple,and can lead to time savings of nearly 50%compared with MOS.An example of application of SAR data is also discussed,involving the retrieval of precipitation information over the South China Sea.
This paper presents a new type of rainfall retrieval algorithm,called the model-oriented statistical and Volterra integration.It is a combination of the model-oriented statistical（MOS） and Volterra integral equation（VIE） approaches.The steps involved in this new algorithm can be briefly illustrated as follows.Firstly,information such as the start point and width of the rain is obtained through pre-analysis of the data received by synthetic aperture radar（SAR）.Secondly,the VIE retrieval algorithm is employed over a short distance to obtain information on the shape of the rain.Finally,the rain rate can be calculated by using the MOS retrieval algorithm.Simulation results show that the proposed algorithm is effective and simple,and can lead to time savings of nearly 50%compared with MOS.An example of application of SAR data is also discussed,involving the retrieval of precipitation information over the South China Sea.
基金
Supported by the National Satellite Meteorological Center Innovation Fund(400120109031047)
