@InProceedings{JoshiRosaOdriStep:2017:CoAnIo,
               author = "Joshi, Neelakshi and Rosa, Reinaldo Roberto and Odriozola, Siomel 
                         Savio and Stephany, Stephan",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Computational Analysis of Ionospheric Transition Region using 
                         Multifractal Approach",
            booktitle = "Anais...",
                 year = "2017",
         organization = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE, 
                         17. (WORCAP)",
             keywords = "P-model, Ionospheric turbulence, MFDFA.",
             abstract = "Meneveau and Sreenivasan proposed p-model to characterize 
                         multifractality in the fully developed turbulence data by modeling 
                         energy-cascade in the inertial range by the special case of a 
                         weighted curdling scheme. Ionospheric irregularities are turbulent 
                         phenomena and have been investigated using Power Spectral Density 
                         methods. However, it is evident that ionospheric data exhibits 
                         nonlinear behavior and richness of scaling whose underlying 
                         process is very hard to characterize (Fornari et al., 2016). 
                         Beyond the traditional PSD analysis, the scaling information 
                         taking into account much more complex process such as 
                         nonhomogenous energy cascade can be examined using the 
                         multifractal computational analysis. In this work, we applied the 
                         multifractal detrended fluctuation analysis (MFDFA) algorithm in 
                         order to refine the interpretation of ionospheric data from E-F 
                         transition region obtained from a rocket experiment. Earlier 
                         results from this data using PSD method has shown the presence of 
                         a dual slope. Singularity plot obtained from MFDFA analysis can be 
                         fitted using the p-model input parameters. The preliminary results 
                         we have obtained are 1.66 < beta < 2.00 and 0.505 < p < 0.7. Then, 
                         these results suggest that the main underlying physical process is 
                         the nonhomogenous turbulence.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "20-22 nov. 2017",
             language = "en",
           targetfile = "Joshi_Computational.pdf",
        urlaccessdate = "10 maio 2024"
}