author = "Lorenzo, Maibys Sierra and Domingues, Margarete Oliveira and 
                         Mec{\'{\i}}as, Angela Leon and Menconi, Varlei Everton and 
                         Mendes, Odim",
          affiliation = "{Meteorology Institute of Cuba} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {University of Havana} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "On the use of space-environmental satellite data for global 
                         magnetohydrodynamic simulations: time-scale initialisation 
              journal = "Brazilian Journal of Physics",
                 year = "2016",
               volume = "46",
               number = "6",
                pages = "703--713",
                month = "Dec.",
             keywords = "Continuous wavelet transform, Data assimilation, Global 
                         magnetohydrodynamic model, Magnetosphere, Space electrodynamics.",
             abstract = "A global magnetohydrodynamic (MHD) model describes the 
                         solar-terrestrial system and the physical processes that live in 
                         it. Information obtained from satellites provides input to MHD 
                         model to compose a more realistic initial state for the equations 
                         and, therefore, more accurate simulations. However, the use of 
                         high resolution in time data can produce numerical instabilities 
                         that quickly interrupt the simulations. Moreover, satellite time 
                         series may have gaps which could be a problem in this context. In 
                         order to contribute to the overcoming of such challenges, we 
                         propose in this work a methodology based on a variant of the 
                         continuous wavelet transform to introduce environmental satellite 
                         data on the global resistive MHD model originally developed by 
                         Prof. Ogino at the University of Nagoya. Our methodology uses a 
                         simplified time-scale version of the original data that preserves 
                         the most important spectral features of the phenomena of interest. 
                         Then, we can do a long-term integration using this MHD model 
                         without any computational instability, while preserving the main 
                         time-scale features of the original data set and even overcome 
                         possible occurrence of gaps on the satellite data. This 
                         methodology also contributes to keeping more realistic physical 
                  doi = "10.1007/s13538-016-0464-x",
                  url = "http://dx.doi.org/10.1007/s13538-016-0464-x",
                 issn = "0103-9733",
             language = "en",
           targetfile = "lorenzo_on the use.pdf",
        urlaccessdate = "27 nov. 2020"