Mehraneh Zamaniannejatzadeh
Assessing the Potential of GNSS-Derived Precipitable Water Vapor for Rainfall Prediction and Climate Variability Analysis.
Rel. Paolo Dabove, Milad Bagheri. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Per L'Ambiente E Il Territorio, 2026
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Abstract
Assessing the Potential of GNSS-Derived Precipitable Water Vapor for Rainfall Prediction and Climate Variability Analysis Abstract Atmospheric water vapor plays a significant role in weather systems, precipitation processes, and the hydrological cycle. Therefore, accurate monitoring of its spatial and temporal variability is essential for both meteorological and climate-related purposes. This study evaluates the potential of Global Navigation Satellite System (GNSS)-derived Precipitable Water Vapor (PWV) for atmospheric moisture monitoring and its applicability as a complementary indicator for short-term rainfall forecasting across different climatic and topographic conditions. The methodology integrates GNSS observations, ERA5 atmospheric reanalysis data, and ground-based precipitation measurements collected from January 2025 to December 2025.
Raw GNSS data from three stations, including urban (FALA, Italy), coastal (NICE, France), and mountainous (SAVE, Switzerland), were processed using Precise Point Positioning (PPP) through the CSRS-PPP service to estimate Zenith Wet Delay (ZWD)
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