Global Mercury Observatory System Land-based Monitoring Data Portal

Global Mercury Observation System On-line Data Portal. This dataset is not publicly accessible because: Data was unable to be uploaded in ScienceHub but can be obtained through contact with the researcher specified below. It can be accessed through the following means: Contacts For more information on GMOS and its activities, please contact: Programme Coordinator Dr. Nicola Pirrone CNR-Institute of Atmospheric Pollution Research, Rome, Italy E-mail: pirrone@iia.cnr.it Phone: +39.0984.493239, Fax: +39.0984.493215 (at Division of Rende) Phone: +39.06.90672803 / 2831, Fax: +39.06.90672472 (at the Institute Headquarters in Rome). Format: Monitoring data is generated from Tekran continuous mercury monitoring instruments (hourly) at globally distributed sites. This dataset is associated with the following publications: Carbone, F., A. Bruno, A. Naccarato, F. De Simone, C. Gencarelli, F. Sprovieri, I.M. Hedgecock, M. Landis, H. Shov, K.A. Pfaffhuber, K.A. Read, L. Martin, H. Angot, A. Dommergue, O. Magand, and N. Pirrone. The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(2): 764-774, (2018). De Simone, F., P. Artaxo, M. Bencardino, S. Cinnirella, F. Carbone, F. D'Amore, A. Dommergue, X. Bin Feng, C. Gencarelli, I. Hedgecock, M. Landis, F. Sprovieri, N. Suzuki, I. Wangberg, and N. Pirrone. Particulate-phase mercury emissions from biomass burning and impact on resulting deposition: a modelling assessment. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 1881-1899, (2017).

                                            [
  "020:00"
]
                                        

                                            {
  "fn": "Matthew Landis",
  "hasEmail": "mailto:landis.matthew@epa.gov"
}
                                        

                                            []
                                        

                                            [
  "Global atmospheric turbulence",
  "Probability density function",
  "Tsallis q-statistics"
]
                                        

                                            [
  "020:094"
]
                                        

                                            {
  "name": "U.S. EPA Office of Research and Development (ORD)",
  "subOrganizationOf": {
    "name": "U.S. Environmental Protection Agency",
    "subOrganizationOf": {
      "name": "U.S. Government"
    }
  }
}
                                        

                                            [
  "https://doi.org/10.1002/2017jd027384",
  "https://doi.org/10.5194/acp-17-1881-2017",
  "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070161",
  "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260940"
]
                                        

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