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 (ME) and the Root Mean Square Error (RMSE), 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 Pará and all of Amapá, where the precipitation is higher. Among the analyzed models, GFS shows the best performance, except during January and March, when the model to underestimated precipitation, possibly due to the anomalously high values recorded.
J. Michalakes, J. Dudhia, D. Gill, T. Henderson, J. Klemp, W. Skamarock and W. Wang, “The Weather and Research and Forecast Model: Software Architecture and Performance,” Proceedings of the 11th Ecmwf Workshop on High Performance Computing in Meteorology, Reading, 25-29 October 2004, pp. 156-168.
D. A. Olson, N. Junker and B. Korty, “Evaluation of 33 Years of Quantitative Precipitation Forecasting at the Nmc,” Weather and Forecasting, Vol. 10, No. 3, 1995, pp. 498-511.
J. W. Mjelde, H. S. J. Hill and J. F. Griffiths, “A Review of Current Evidence on Climate Forecasts and Their Economic Effect in Agriculture,” American Journal of Agricultural Economy, Vol. 80, No. 5, 1998, pp. 1089-1095.
Y. Zhu, Z. Toth, R. Wobus, D. Richardson and K. Mylne, “On the Economic Value of Ensemble Based Weather Forecasts,” Bulletin of American Meteorological Society, Vol. 83, No. 1, 2002, pp. 73-83.
M. J. Best, “Progress towards Better Weather Forecast for City Dwellers: From Short Range to Climate Change,” Theoretical and Applied Climatology, Vol. 84, No. 1-3, 2006, pp. 47-55. doi:10.1007/s00704-005-0143-2
A. Arakawa and V. R. Lamb, “Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model,” Methods in Computational Physics, Vol. 17, 1977, pp. 174-267.
S. Hastenrath and L. Greischar, “Further Work on the Prediction of Northeast Brazil Rainfall Anomalies,” Journal of Climate, Vol. 6, No. 4, 1993, pp. 743-758.
M. A. F. Silva Dias, S. Rutledge, P. Kabat, P. L. Silva Dias, C. Nobre, G. Fisch, A. J. Dolman, E. Zipser, M. Garstang, A. O. Manzi, J. D. Fuentes, H. R. Rocha, J. Marengo, A. Plana-Fattori, L. D. A. Sa′, R .C. S. Alvala′, M. O. Andreae, P. Artaxo, R. Gielow and L. Gatti, “Cloud and Rain Processes in a Biosphere-Atmosphere Interactions Context in the Amazon Region,” Journal of Geophysical Research, Vol. 107, No. D20, 2002, pp. LBA 39-1-LBA 39-18.
P. Bechtold, J. P. Chaboureau, A. Baljaars, A. K. Betts, M. Kohler, M. Miller and J. L. Redelsperger, “The Simulation of the Diurnal Cycle of Convective Precipitation over Land in a Global Model,” Quarterly Journal of the Royal Meteorological Society, Vol. 131, 2004, pp. 3119-3137. doi:10.1256/qj.03.103
W. Grabowski, “Coupling Cloud Processes with the LargeScale Dynamics Using the Cloud-Resolving Convection Parameterization (Crcp),” Journal of The Atmospheric Sciences, Vol. 58, No. 9, 2001, pp. 978-997.
D. K. Adams, E. P. Souza and A. A. Costa, “Conveccao úmida Na Amazonia: Implicacoes Para Modelagem Numérica,” Revista Brasileira de Meteorologia, Vol. 24, No. 2, 2009, pp. 168-178.
J. R. Rozante, D. S. Moreira, L. G. G. Goncalves and D. A. Vila, “Combining Trmm and Surface Observation Precipitation: Technique and Validation over South America,” Weather and Forecasting, 2010.
S. R. Freitas, K. M. Longo, M. A. F. Silva Dias, R. Chatfield, P. L. Silva Dias, P. Artaxo, M. O. Andreae, G. Grell, L. Rodrigues, A. Fazenda and J. Paneta, “The Coupled Aerosol and Tracer Transport Model to the Brazilian Developments on the Regional Atmospheric Modeling System (Catt-Brams)—Part 1: Model Description and Evaluation,” Atmospheric Chemistry and Physics Discussions, Vol. 7, 2009, pp. 8525-8569.
S. C. Chou, J. F. Bustamante and J. L. Gomes, “Evaluation of Seasonal Precipitation Forecasts over South America Using Eta Model,” Nonlinear Process in Geophysics, Vol. 12, No. 4, 2005, pp. 537-555.
F. Mesinger, S. C. Chou, J. L. Gomes, D. Jovic, P. Bastos, J. F. Bustamante, L. Lazic, A. A. Lyra, S. Morelli, I. Ristic and K. Veljovic, “An Upgraded Version of the Eta Model,” Meteorology and Atmospheric Physics, Vol. 116, No. 3-4, 2012, pp. 63-79. doi:10.1007/s00703-012-0182-z
J. Hamil and J. Juras, “Measuring Forecast Skill: Is It Real Skill or Is It the Varying Climatology?” Quarterly Journal of the Royal Meteorological Society, Vol. 132, No. 621C, 2007, pp. 2905-2923. doi:10.1256/qj.06.25
J. Han and H. L Pan, “Revision of Convection and Vertical Diffusion Schemes in the NCEP Global Forecast System,” Weather and Forecasting, Vol. 26, No. 4, 2011, pp. 520-533. doi:10.1175/WAF-D-10-05038.1
B. G. White, J. Peagle, W. J. Steenburgh, J. D. Horel, R. T. Swanson, L. K. Cook, D. J. Onton and J. G. Miles, “Short-Term Forecast Validation of Six Models,” Weather and Forecasting, Vol. 14, 1990, pp. 84-108.
P. Nobre and J. Shukla “Variations of Sst, Wind Stress and Rainfall over the Tropical Atlantic and South America,” Journal of Climate, Vol. 9, No. 10, 1996, pp. 2464-2479.
E. B. Souza, M. T. Kayano and T. Ambrizzi, “The Regional Precipitation over the Eastern Amazon/Northeast Brazil Modulated by Tropical Pacific and Atlantic SST Anomalies on Weekly Timescale,” Revista Brasileira de Meteorologia, Vol. 19, No. 2, 2004, pp. 113-122.
L. M. V. Carvalho, C. Jones and B. Liebmann, “The South Atlantic Convergence Zone: Persistence, Form, Extreme Precipitation and Relationships with Intraseasonal Activity,” Journal of Climate, Vol. 17, No. 1, 2004, pp. 88-108.
J. F. Leivas, G. G. Ribeiro, I. Saraiva, J. S. E. Santo, M. B. Souza and J. Rocha Filho, “Avaliacaao Dos Prognoosticos De Precipitacaao Simulada Pelo Modelo Brams Na Amazonia Ocidental Na Estacaao Chuvosa,” Acta Amazonica, Vol. 41, 2011, pp. 347-354.