%0 Journal Article
%T Comparative Skill of Numerical Weather Forecasts in Eastern Amazonia
%A Bergson Cavalcanti de Moraes
%A Douglas Batista da Silva Ferreira
%A Luiz Gylvan Meira Filho
%A Juarez Ventura de Oliveira
%A Everaldo Barreiros de Souza
%A Pedro Pereira Ferreira J¨˛nior
%A Renata Kelen Cardoso Camara
%A Edson Jos¨¦ P. da Rocha
%A JoŁżo Batista M. Ribeiro
%J Atmospheric and Climate Sciences
%P 355-363
%@ 2160-0422
%D 2013
%I Scientific Research Publishing
%R 10.4236/acs.2013.33037
%X <p class=\"MsoNormal\">
	<span lang=\"EN-US\">The present study evaluates the performance of three numerical weather forecasting models: Global Forecast System (GFS), Brazilian Regional Atmospheric Modelling System (BRAMS) and ETA Regional Model (ETA), by means of the Mean Error (<i>ME</i>) and the Root Mean Square Error (<i>RMSE</i>), during the most rainy four months period (January to April 2012) on Eastern Amazonia. The models displayed errors of superestimation and underestimation with respect to the observed precipitation, mainly over center-north of Par¨˘ and all of Amap¨˘, where the precipitation is higher. Among the analyzed models, GFS shows the best performance, except during January and March, when the model to underesti</span><span lang=\"EN-US\">mated precipitation, possibly due to the anomalously high values recorded.</span><span lang=\"EN-US\"><!--?xml:namespace prefix = o /--><o:p></o:p></span> 
</p>
%K Meteorological Models
%K Mean Error
%K Root Mean Square Error
%K Precipitation
%K Eastern Amazonia
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=34079