@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 = "15 jun. 2024"
}