Articles | Volume 2
https://doi.org/10.5194/adgeo-2-73-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/adgeo-2-73-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
29 Mar 2005
Impact of a high density GPS network on the operational forecast
C. Faccani
Department of Physics, University of L’Aquila, Italy
R. Ferretti
Department of Physics, University of L’Aquila, Italy
CETEMPS, University of L’Aquila, Italy
R. Pacione
Telespazio SpA, Centro di Geodesia Spaziale, Matera, Italy
T. Paolucci
Department of Physics, University of L’Aquila, Italy
F. Vespe
ASI, Centro di Geodesia Spaziale, Matera, Italy
L. Cucurull
COSMIC Project/JCSDA Suitland, MD, USA
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- InSAR Water Vapor Data Assimilation into Mesoscale Model MM5: Technique and Pilot Study E. Pichelli et al. https://doi.org/10.1109/JSTARS.2014.2357685
- Comparisons between the WRF data assimilation and the GNSS tomography technique in retrieving 3-D wet refractivity fields in Hong Kong Z. Xiong et al. https://doi.org/10.5194/angeo-37-25-2019
- Comparisons of Performance Using Data Assimilation and Data Fusion Approaches in Acquiring Precipitable Water Vapor: A Case Study of a Western United States of America Area Z. Xiong et al. https://doi.org/10.3390/w12102943
- Severe convective weather in Italy: Current understanding and Research Priorities in the TIM campaign M. Miglietta et al. https://doi.org/10.5194/nhess-26-3395-2026
- Forecasting convective precipitation over northern Italy: A comparison of lightning and GNSS-ZTD data assimilation S. Federico et al. https://doi.org/10.1016/j.atmosres.2025.108687
- Assimilation of anisotropic GNSS observations in the WRF model: preliminary results of the NEW-ARGENT project R. Torcasio et al. https://doi.org/10.1007/s12210-025-01399-1
- Detection of water vapor time variations associated with heavy rain in northern Italy by geodetic and low-cost GNSS receivers S. Barindelli et al. https://doi.org/10.1186/s40623-018-0795-7
- The use of GNSS zenith total delays in operational AROME/Hungary 3D-Var over a central European domain M. Mile et al. https://doi.org/10.5194/amt-12-1569-2019
- Retrieving the 3-D Tropospheric Wet Refractivity Field From a Standalone Ground-Based GNSS Station With A Priori Information: Theory and Simulation X. Li et al. https://doi.org/10.1109/TGRS.2024.3412689
- Operational Assimilation of GPS Zenith Total Delay Observations into the Met Office Numerical Weather Prediction Models G. Bennitt & A. Jupp https://doi.org/10.1175/MWR-D-11-00156.1
- Impact of GPS zenith delay assimilation on convective‐scale prediction of Mediterranean heavy rainfall X. Yan et al. https://doi.org/10.1029/2008JD011036
- A multi hazard extreme weather event in Southern Italy: Assessment and sensitivity tests of the WRF model E. Avolio et al. https://doi.org/10.1016/j.atmosres.2024.107827
- Analysis of GNSS sensed precipitable water vapour and tropospheric gradients during the derecho event in Poland of 11th August 2017 G. Nykiel et al. https://doi.org/10.1016/j.jastp.2019.105082
- INVESTIGATION OF THE EFFECT OF ANNUAL AVERAGE TEMPERATURE AND PRECIPITATION CHANGES ON CORS-TR STATIONS: THE CASE OF KSTM STATION A. Acar et al. https://doi.org/10.36306/konjes.1517144
- Remote sensing of atmospheric water vapor variation from GPS measurements during a severe weather event D. Song & D. Grejner-Brzezinska https://doi.org/10.1186/BF03352964
- Using global navigation satellite system data for real-time moisture analysis and forecasting over the Australian region I. The system J. Marshall et al. https://doi.org/10.1071/ES19009
- Data assimilation of GPS-ZTD into the RAMS model through 3D-Var: preliminary results at the regional scale A. Mascitelli et al. https://doi.org/10.1088/1361-6501/ab0b87
- Satellite-Based Retrieval of Precipitable Water Vapor Over Land by Using a Neural Network Approach S. Bonafoni et al. https://doi.org/10.1109/TGRS.2011.2160184
- Impact of Turkish ground‐based GPS‐PW data assimilation on regional forecast: 8–9 March 2011 heavy snow case S. Tilev‐Tanriover & A. Kahraman https://doi.org/10.1002/asl2.482
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