@InProceedings{OliveiraDereChan:2008:ReAvPr,
author = "Oliveira, Nath{\'a}lia Silva de and Dereczynski, Claudine Pereira
and Chan, Chou Sin",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais
(INPE/CPTEC)}",
title = "Refinamento e avalia{\c{c}}{\~a}o das previs{\~o}es do modelo
ETA/CPTEC",
booktitle = "Anais...",
year = "2008",
organization = "Congresso Brasileiro de Meteorologia, 15.",
keywords = "Modelo Eta,, avalia{\c{c}}{\~a}o, Eta Model, weather
forecasting, forecast evaluation.",
abstract = "Neste trabalho s{\~a}o avaliadas as previs{\~o}es do modelo Eta
para S{\~a}o Miguel do Gostoso (RN) no per{\'{\i}}odo de
13/10/2005 a 01/11/2005. S{\'e}ries temporais e ciclos diurnos
m{\'e}dios s{\~a}o apresentados para as previs{\~o}es de 24, 48
e 72-h das vari{\'a}veis, temperatura do ar a 2 metros, umidade
espec{\'{\i}}fica a 2 m e para a press{\~a}o atmosf{\'e}rica
{\`a} superf{\'{\i}}cie. Os resultados mostram que o modelo Eta
n{\~a}o representa adequadamente as grandes amplitudes
di{\'a}rias tanto para a temperatura do ar quanto para a umidade
espec{\'{\i}}fica, como pode ser visto pelas s{\'e}ries
temporais dessas vari{\'a}veis. Por{\'e}m, o ciclo diurno
m{\'e}dio da temperatura {\'e} bem reproduzido, especialmente na
previs{\~a}o de 48-h, apresentando alta correla{\c{c}}{\~a}o
(CORR=88%) e baixos valores de raiz do erro quadr{\'a}tico
m{\'e}dio (RMSE=1,6ºC). O modelo mostra erros na previs{\~a}o de
umidade espec{\'{\i}}fica (RMSE maior do que o desvio
padr{\~a}o) e baixa CORR (menor do que 25%). Para a press{\~a}o
atmosf{\'e}rica o modelo mostra alta CORR, especialmente para as
previs{\~o}es de 24-h (CORR=65%), apesar dos altos valores de
RMSE (5 hPa). ABSTRACT: In this work Eta model forecasts are
evaluated against observations taken at S{\~a}o Miguel do Gostoso
city (RN), for the period between 13 October and 1 November 2005.
Time series and mean diurnal cycles of 2-m temperature and
specific humidity and surface pressure are shown for 24, 48 and
72-h forecasts. The results show that Eta model does not represent
accurately both temperature and specific humidity large
amplitudes, as indicated by their time series. Although, the
temperature mean diurnal cycle is well reproduced, specially at
48-h forecasts, with high correlation, 0,88, and small root mean
square error (RMSE=1,6ºC). The model shows error in specific
humidity forecasts (RMSE greater than standard deviation) and
small, less than 0,25. For atmospheric pressure, the forecasts
show high correlation with observations, especially at 24-h
forecast, but high RMSE (5 hPa)..",
conference-location = "S{\~a}o Paulo",
conference-year = "24-29 ago",
copyholder = "SID/SCD",
language = "pt",
organisation = "SBMET",
targetfile = "OLIVEIRA_REFINAMENTO.pdf",
urlaccessdate = "12 maio 2024"
}