• DocumentCode
    119714
  • Title

    “Non-geodetic” approaches in the analysis of terrestrial CDGPS data for the retrieval of the atmospheric precipitable water at local scale during severe weather phenomena

  • Author

    Umberto, Tammaro ; Umberto, Riccardi ; Valeria, Sorrentino ; Irene, Forte ; Paolo, Capuano

  • Author_Institution
    Sezione “Oss. Vesuviano”, Ist. Naz. di Geofisica e Vulcanologia, Naples, Italy
  • fYear
    2014
  • fDate
    17-18 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Precipitable water (PW) derived from the CDGPS (Continuous Differential Global Positioning System) zenith tropospheric delay (ZTD) is evaluated through comparison of three procedures: using GPT (Global Pressure and Temperature) and GPT2 global models as well as observed data. The results show that the difference between PW retrieved from models (GPT and GPT2) and PW obtained by observed meteorological data, at least for sites and period observed in this paper, is also a function of the position of the station. The short period considered does not allow for any consideration of possible intra-annual or annual periodicity. The analysis of the residuals between observed PW and modeled PW shows a peak before the rain event.
  • Keywords
    atmospheric techniques; rain; remote sensing; troposphere; Continuous Differential Global Positioning System; GPT global models; atmospheric precipitable water; nongeodetic approaches; rain event; severe weather phenomena; terrestrial CDGPS data; zenith tropospheric delay; Atmospheric measurements; Atmospheric modeling; Data models; Delays; Global Positioning System; Meteorology; Numerical models; GPS; GPT model; GPT2 model; precipitable water;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Energy and Structural Monitoring Systems (EESMS), 2014 IEEE Workshop on
  • Conference_Location
    Naples
  • Print_ISBN
    978-1-4799-4989-2
  • Type

    conf

  • DOI
    10.1109/EESMS.2014.6923286
  • Filename
    6923286