@Article{MarquesZaEcRyAlDeCo:2017:StAn26,
               author = "Marques, Manilo Soares and Zarka, Philippe and Echer, Ezequiel and 
                         Ryabov, V. B. and Alves, Maria Virg{\'{\i}}nia and Denis, L. and 
                         Coffre, A.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and LESIA, 
                         Observatoire de Paris and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Future Univ. Hakodate} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and Station de 
                         Radioastronomie de Nan{\c{c}}ay, Obs. Paris, CNRS and Station de 
                         Radioastronomie de Nan{\c{c}}ay, Obs. Paris, CNRS",
                title = "Statistical analysis of 26 yr of observations of decametric radio 
                         emissions from Jupiter",
              journal = "Astronomy \& Astrophysics",
                 year = "2017",
               volume = "604",
                pages = "Article number A17",
                month = "Aug.",
             keywords = "radiation mechanisms: non-thermal, methods: statistical, catalogs, 
                         planets and satellites: aurorae, planets and satellites: 
                         individuals: Jupiter.",
             abstract = "Jupiter is a complex and at the same time very powerful radio 
                         source in the decameter wavelength range. The emission is 
                         anisotropic, intrinsically variable at millisecond to hour 
                         timescales, and also modulated by various external processes at 
                         much longer periods, ranging from \∼10 h to months or years 
                         (including Jovian day and year, solar activity and solar wind 
                         variations, and for groundbased observations, terrestrial day and 
                         year). As a consequence, long-term observations and their 
                         statistical study have proved to be necessary for disentangling 
                         and understanding the observed phenomena. We have built a database 
                         from the available 26 yr of systematic, daily observations 
                         conducted at the Nan{\c{c}}ay Decameter Array and recorded in 
                         digital format. This database contains all observed Jovian 
                         decametric emissions, classified with respect to the 
                         time-frequency morphology, their dominant circular polarization, 
                         and maximum frequency. We present the results of the first 
                         statistical analysis of this database. We confirm the earlier 
                         classification of Jovian decameter emissions in Io-A, -A0 , -B, 
                         -C, -D and non-Io-A, -B, -C types, but we also introduce new 
                         emission types (Io-A00 and Io-B0 ) and precise and characterize 
                         the non-Io-D type. We determine the contours of all emission types 
                         in the CML\−\ΦIo plane (Central Meridian Longitude in 
                         Jupiters System III coordinates versus Io Phase), provide 
                         representative examples of their typical time-frequency patterns, 
                         and the distribution of emissions maximum frequency as a function 
                         of \ΛIo (Ios Longitude). Finally, we present a statistical 
                         analysis of the distributions of the occurrence rate, duration, 
                         intensity and polarization for each emission type. non-Io-DAM 
                         appears to be related to small-scale, possibly bursty auroral 
                         structures.",
                  doi = "10.1051/0004-6361/201630025",
                  url = "http://dx.doi.org/10.1051/0004-6361/201630025",
                 issn = "0004-6361 and 1432-0746",
             language = "en",
           targetfile = "marques_statistical.pdf",
        urlaccessdate = "25 abr. 2024"
}