Prediction of heavy convective events using GNSS data
Giovanna Venuti1 and Xiangyang Song1
1Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
Forecasting of convective events is difficult due to their rapid development and to the multitude of spatial scales involved. Local meteorological observations, including opportunistic sensors such as GNSS (Global Navigation Satellite Systems), improve the predictability of these events. In this speech, I will present two research projects focused on the exploitation of such data. The LAMPO project, completed in 2021, aimed at forecasting the occurrence of convective events by a neural network model also trained with water vapour delays derived from low-cost GNSS sensors located in Northern Italy. The ongoing ICREN project, whose goal is to enhance rain forecasts by integrating local standard and non-conventional observations through an ad hoc forecasting model that merges NWP and neural networks.
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Meteorological Applications of GNSS Opportunistic sensors network and future perspectives
Christina Oikonomou1,2 and Haris Haralambous3
1Frederick Researcher Center, Cyprus
2Cloudwater Ltd, Cyprus
3Department of Electrical Engineering, Computer Engineering and Informatics, Frederick University, Nicosia, Cyprus
Convective storms and tropical cyclones in Europe, including Medicanes, (hurricane-like cyclonic systems in the Mediterranean Sea), are an increasingly severe problem. Monitoring and early warning of such systems, on a short-term temporal and small-scale spatial scale, is crucial. This can only be facilitated by greater volumes of data, on top of traditional weather data, from sensors (ground-based automated weather stations (AWS), radars, satellites, and radiosondes). Moreover, NWP model updates are issued typically every 6 hours and reflect the actual weather on a very extended region. These limitations can be partly met by increasing the spatial and temporal coverage by weather radars. Alternative opportunistic sensor networks are needed for continuous atmospheric monitoring of additional parameters in near-real time. In this context, the efforts of exploiting GNSS networks on a European, regional (Balkan) and local (Cyprus) level will be discussed.
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