Earth-prints repository, logo   DSpace

About DSpace Software
|earth-prints home page | roma library | bologna library | catania library | milano library | napoli library | palermo library
Please use this identifier to cite or link to this item:

Authors: Tammaro, U.*
Riccardi, U.*
Sorrentino, V.*
Forte, I.*
Capuano, P.*
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
Issue Date: Sep-2014
DOI: 978-1-4799-4988-5/14/$31.00
Keywords: GPS
GPT model
GPT2 model
precipitable water
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.
Appears in Collections:Conference materials
05.09.99. General or miscellaneous

Files in This Item:

File Description SizeFormatVisibility
Tammaro_et_al_EESMS_2014.pdfMain Article3.81 MBAdobe PDFonly authorized users View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Share this record




Stumble it!



Valid XHTML 1.0! ICT Support, development & maintenance are provided by CINECA. Powered on DSpace Software. CINECA