Articles | Volume 7, issue 5
Geosci. Model Dev., 7, 2333–2343, 2014
Geosci. Model Dev., 7, 2333–2343, 2014

Development and technical paper 14 Oct 2014

Development and technical paper | 14 Oct 2014

Multi-model ensemble: technique and validation

J. R. Rozante, D. S. Moreira, R. C. M. Godoy, and A. A. Fernandes J. R. Rozante et al.
  • Center for Weather Forecasting and Climate Studies, INPE, Cachoeira Paulista, SP, Brazil

Abstract. In this study, a method of numerical weather prediction by ensemble for the South American region is proposed. This method takes into account combinations of the numerical predictions of various models, assigning greater weight to models that exhibit the best performance. Nine operational numerical models were used to perform this study. The main objective of the study is to obtain a weather forecasting product (short-to-medium range) that combines what is best in each of the nine models used in the study, thus producing more reliable predictions. The proposed method was evaluated during austral summer (December 2012, and January and February 2013) and winter (June, July and August 2013). The results show that the proposed method can significantly improve the results provided by the numerical models and consequently has promising potential for operational applications in any weather forecasting center.