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| Titel |
Impact on the short-term forecast using radar data assimilation on the South and Southeast region of Brazil |
| VerfasserIn |
Dirceu Herdies, Liviany Viana, Diego Souza, Eder Vendrasco |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250152946
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| Publikation (Nr.) |
 EGU/EGU2017-17856.pdf |
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| Zusammenfassung |
| The objective of this study was to analyze the behavior of the precipitation
related to the numerical weather forecast employing the Atmospheric
Weather Research and Forecasting model (WRF) and the Data assimilation Weather Research
and Forecasting model Data Assimilation Three Dimensional-Variational
(WRFDA / 3D-VAR) system for a Convective system occurred in the summer of
2015/2016 on the southern and southeastern regions of Brazil. The datasets used
were radar data in the region of interest and observational data from the
Global Telecommunications System (GTS). The data assimilated were radial velocity
(directly) and reflectivity (indirectly) and variables of the state -
air temperature, surface pressure, wind speed and direction, among others. Three
experiments were performed to evaluate the weather forecast for the selected
case: i) without any type of assimilation, (ii) assimilated GTS data, and (iii) assimilated
data from available radars. The prediction until to 6 hours of convective
system intensity was evaluated, which were validated with the combined precipitation
data from satellites and surface. The results showed the positive impact of the
short-term forecast using experiments with the radar and GTS data when compared
to the experiment without using them. Thus, this study is expected to contribute to
the development of modeling and the operation of the assimilation of radar data in
the numerical weather prediction over the regions of study. |
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