EGU26-21020, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-21020
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 05 May, 14:00–15:45 (CEST), Display time Tuesday, 05 May, 14:00–18:00
 
Hall X1, X1.117
Assessment of correlation length and spatial resolution for GNSS-based Precipitable Water Vapor maps
Ilaria Ferrando1, Elisa Bertazzini1, Bianca Federici1, Saba Gachpaz1, Abubakr Khalid Ahmed Albashir1, Gabrio Pinnizzotto1, Catia Benedetto2, Francesco Vespe2, and Domenico Sguerso1
Ilaria Ferrando et al.
  • 1University of Genoa, Department of Civil, Chemical and Environmental Engineering, Genoa, Italy (ilaria.ferrando@edu.unige.it)
  • 2Telecommunications and Navigation Office, Italian Space Agency, Matera, Italy

The present study is framed within the research cooperation between University of Genoa (UniGe) and Italian Space Agency (ASI) for the exploitation of the Global Navigation Satellite System (GNSS) data acquired through the “New National GNSS Fiducial Network”, implemented by ASI. The established collaborative research aims to operationally deploy the GNSS for Meteorology (G4M) procedure, developed by UniGe’s Geomatics Laboratory, to generate Precipitable Water Vapor (PWV) maps at Italian territorial extent. In this context, the focus of the contribution is on assessing the correlation length of Zenith Total Delay (ZTD), the key parameter to evaluate PWV, as a function of the distribution of GNSS stations belonging to the ASI’s National GNSS Fiducial Network.  The evaluation of correlation length serves as a preliminary step toward the assessment of the geographical extent and achievable spatial resolution of the PWV maps derived from G4M procedure. Suitable areas for experimentation are subsequently identified, accounting for different weather conditions at national level. Therefore, the PWV maps derived in this study can serve as a preliminary assessment of nationwide meteorological conditions, highlighting potentially critical areas that warrant further investigation at a higher detail.

How to cite: Ferrando, I., Bertazzini, E., Federici, B., Gachpaz, S., Khalid Ahmed Albashir, A., Pinnizzotto, G., Benedetto, C., Vespe, F., and Sguerso, D.: Assessment of correlation length and spatial resolution for GNSS-based Precipitable Water Vapor maps, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21020, https://doi.org/10.5194/egusphere-egu26-21020, 2026.