@Article{RozanteGodoFern:2014:TeVa,
               author = "Rozante, Jos{\'e} Roberto and Godoy, Regiane Cristina Mota de and 
                         Fernandes, Alex de Almeida",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Multi-model ensemble: technique and validation",
              journal = "Geoscientific Model Development",
                 year = "2014",
               volume = "7",
               number = "5",
                pages = "2333--2343",
                month = "oct. 2014",
             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.",
                  doi = "10.5194/gmd-7-2333-2014",
                  url = "http://dx.doi.org/10.5194/gmd-7-2333-2014",
                 issn = "1991-959X",
                label = "lattes: 3781543923591839 1 RozanteMoreGodoFern:2014:TeVa",
             language = "en",
                  url = "http://www.geosci-model-dev.net/7/2333/2014/gmd-7-2333-2014.html",
        urlaccessdate = "27 abr. 2024"
}