@InProceedings{CalheirosMachAngeQuei:2010:PrNoMe,
               author = "Calheiros, Alan James Peixoto and Machado, Luiz Augusto Toledo and 
                         Angelis, Carlos Frederico and Queiroz, A P",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Observation system for severe weather (SOS): the precipitation 
                         nowcasting by meteorological satellite and radar",
            booktitle = "Posters",
                 year = "2010",
         organization = "The Meeting of the Americas.",
            publisher = "AGU",
             keywords = "precipitation, remote sensing.",
             abstract = "Observation system for severe weather (SOS) is an integrating 
                         information system applied to severe system identification and 
                         forecasting. this system use meteorological satellite and radar 
                         techniques. The precipitation nowcasting is very important for 
                         civil defense, air transit, power supply, and agriculture. The 
                         knowledge of convective system evolution is of fundamental 
                         importance for understanding weather and climate, particularly in 
                         the tropics, and it is essential to improve forecasting of these 
                         systems to reduce vulnerability to extreme weather damage. The 
                         identification of predictor parameters of the evolution of 
                         precipitation system, based on its previous evolution, could give 
                         valuable contribution to nowcasting schemes. This work evaluate 
                         two techniques based on Forecasting and Tracking of the evolution 
                         of the Cloud Clusters (ForTraCC) system for rainfall in operation 
                         on Center for Weather Forecast and Climate Studies 
                         (DSA/CPTEC/INPE) for precipitation nowcasting: Hydroestimator 
                         Tracking and Nowcaster (HydroTrack) and ForTraCC-RADAR (radar 
                         reflectivity). The HydroTrack is using GOES channel 4 images. The 
                         ForTraCC-RADAR use radar reflectivity each 15 minutes. The results 
                         show this probability of detection (POD) is superior to 70%, in 
                         both schemes. However, the skill decrease with prediction time (2 
                         hour). The biggest error is associate to system position. But 
                         there are a good skill to area and rain rate prediction. The 
                         evaluate this systems were used GOES and RADAR images (S{\~a}o 
                         Roque) above S{\~a}o Paulo during November (2008) to January 
                         (2009).",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "8-12 Aug. 2010",
             language = "en",
           targetfile = "Calheiros_Observation.pdf",
        urlaccessdate = "19 abr. 2024"
}