@InProceedings{JustidaSilvaCoDeMeSaSi:2006:OpRaPr,
author = "Justi da Silva, Maria Gertrudes Alvarez and Coelho, David Garrana
and Dereczynski, Claudine Pereira and Menezes, Wallace Figueiredo
and Santos, Isimar de Azevedo and Silva, Alfredo Silveira da",
affiliation = "Universidade Federal do Rio de Janeiro, Departamento de
Meteorologia and Ilha da Cidade Universitaria. 21949-900 Rio de
Janeiro, RJ, Brazil",
title = "Operational rainfall prediction over Brazilian Cerrado Region
using MM5 mesoscale model",
booktitle = "Proceedings...",
year = "2006",
editor = "Vera, Carolina and Nobre, Carlos",
pages = "1809--1810",
organization = "International Conference on Southern Hemisphere Meteorology and
Oceanography, 8. (ICSHMO).",
publisher = "American Meteorological Society (AMS)",
address = "45 Beacon Hill Road, Boston, MA, USA",
keywords = "weather predicton, mesoscale numerical model, hydrological
basin.",
abstract = "It is a common practice the use of mesoscale models to predict
regional weather, although this methodology has not yet
sufficiently tested on continental tropical regions. In Brazil the
major source of electric energy comes from hydrological plants, so
its important to forecast with accuracy the rainfall in the basin
under consideration. In the present test, the MM5 model was used
operationally for 5 days prediction during January 2005 over the
River Manso Basin (Mato Grosso State in Cerrado region of Brazil)
using a detailed grid of 3 km spacing. The verification of the
model prediction performance was made trough a regional set of
observational stations. Dividing the month in periods of 4 or 5
days, the rainfall forecast showed good agreement with accumulated
regional observed precipitation, important to dimension the
hydrological basin outflow. In a point to point verification, all
RMSE tests show that the temperature, wind components and rainfall
forecasts error are small enough to justify the proposed
methodology. Even for 120 hours forecasts, the model presented
good skill. The relative humidity, been a composed parameter, show
not so good forecast performance.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "24-28 Apr. 2006",
language = "en",
organisation = "American Meteorological Society (AMS)",
ibi = "cptec.inpe.br/adm_conf/2005/10.31.21.28",
url = "http://urlib.net/ibi/cptec.inpe.br/adm_conf/2005/10.31.21.28",
targetfile = "1809-1810.pdf",
type = "Weather analysis and forecasting",
urlaccessdate = "15 maio 2024"
}