Heavy rainfall and thunderstorm are among the most important hazards in aviation since they are often linked to other dangerous phenomena such as turbulence, icing, hail, lightning and low visibility. For this reason the early forecasting of precipitation is a crucial issue for flight support. In this work three different nowcasting algorithms for precipitation have been developed and compared. These algorithms are based on persistence and extrapolation of weather conditions provided by satellite data. Specifically, the Multi-Sensor Precipitation Estimate (MPE) EUMETSAT product has been adopted. The three proposed methods have been validated considering an area centered on Campania region and the performance analysis has shown satisfactory results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Precipitation nowcasting using the satellite product Multi-Sensor Precipitation Estimate




    Publication date :

    2015-06-01


    Size :

    212729 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Status of Satellite Precipitation Retrievals

    Kidd, C. / Levizanni, V. | British Library Conference Proceedings | 2010


    Blending a probabilistic nowcasting method with a high-resolution numerical weather prediction ensemble for convective precipitation forecasts

    Kober, Kirstin / Craig, George C. / Keil, Christian et al. | German Aerospace Center (DLR) | 2012

    Free access

    Multi-Sensor Precipitation-Classification Apparatus and Method

    KARANDIKAR RAMCHANDRA GANESH / NAGRAJ RAO NIKHIL / MYERS SCOTT VINCENT et al. | European Patent Office | 2018

    Free access