A Nowcasting Algorithm of Severe Weather Events at Local Spatial Scale: The Venezia Case Study

Parodi, Antonio; Mazzarella, Vincenzo; Milelli, Massimo; Lagasio, Martina; Realini, Eugenio; Federico, Stefano; Torcasio, Rosa Claudia; Kerschbaum, Markus; Llasat, María Carmen; Rigo, Tomeu; Esbrí, Laura; Temme, Marco-Michael; Gluchshenko, Olga; Temme, Annette; Nöhren, Lennard; Biondi, Riccardo

doi:10.1109/igarss46834.2022.9884505

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…It also involves analyzing technical parameters, functionalities, practicality, application effectiveness, maintenance, and equipment failure rates of highway meteorological monitoring devices, guiding the development of multi-factor meteorological monitoring equipment. Moreover, collecting information on domestic and international applications of meteorological environmental monitoring, methods for processing meteorological data and guidance for traffic management and control [5] . Furthermore, the research involves investigating the formulation and implementation of relevant standards, guiding the development of standards for future applications.…”

Section: Introductionmentioning

confidence: 99%

Research on meteorological impact and monitoring application of highway

Lu,

Li,

Gao

et al. 2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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Meteorological impacts on highways play a crucial role in transportation safety, efficiency and planning. Heavy rainfall, snowstorms, fog and other extreme weather events can disrupt road conditions, visibility and vehicular movement resulting in traffic congestion, accidents and travel delays. Meteorological data, collected through weather stations, sensors and satellite observations, are essential for monitoring and predicting weather-related impacts on highways. There are so many different extreme weather events, it is hard to recognize the intricate relationship between meteorological conditions and highway accidents. However, the relationship is vital for enhancing safety, reducing travel disruptions and ensuring efficient transportation systems. The paper analyzes accident data from 2020 to 2022 alongside meteorological data to identify patterns and correlations between specific weather conditions and accident rates. The results show that approximately 40% accidents occur during extreme weather condition. The heavy rain, snowstorms, fog and ice can significantly impact on highway road conditions leading to an increased likehood of accidents. Based on the analysis, intelligent traffic system and automobiles make informed decisions ragarding vehicle operation and road safety. The proposal from the analysis has been applied to Hebei-Beijing-Harbin Expressway's pile-by-pile meteorological monitoring project.

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Section: Introductionmentioning

confidence: 99%

Research on meteorological impact and monitoring application of highway

Lu,

Li,

Gao

et al. 2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

View full text Add to dashboard Cite

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“…Lightning is an important issue for electrical companies, forest fires, and, in general, outdoor activities. The lightning forecast is also important for aviation [14,15] because while airplanes are built to withstand lightning strokes [16], they can suffer structural damage (e.g., [17,18]). Lightning can also affect airport ground operations.…”

Section: Introductionmentioning

confidence: 99%

A Year-Long Total Lightning Forecast over Italy with a Dynamic Lightning Scheme and WRF

et al. 2022

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Lightning is an important threat to life and properties and its forecast is important for several applications. In this paper, we show the performance of the “dynamic lightning scheme” for next-day total strokes forecast. The predictions were compared against strokes recorded by a ground observational network for a forecast period spanning one year. Specifically, a total of 162 case studies were selected between 1 March 2020 and 28 February 2021, characterized by at least 3000 observed strokes over Italy. The events span a broad range of lightning intensity from about 3000 to 600,000 strokes in one day: 69 cases occurred in summer, 46 in fall, 18 in winter, and 29 in spring. The meteorological driver was the Weather Research and Forecasting (WRF) model (version 4.1) and we focused on the next-day forecast. Strokes were simulated by adding three extra variables to WRF, namely, the potential energies for positive and negative cloud to ground flashes and intracloud strokes. Each potential energy is advected by WRF, it is built by the electrification processes occurring into the cloud, and it is dissipated by lightning. Observed strokes were remapped onto the WRF model grid with a 3 km horizontal resolution for comparison with the strokes forecast. Results are discussed for the whole year and for different seasons. Moreover, statistics are presented for the land and the sea. In general, the results of this study show that lightning forecast with the dynamic lightning scheme and WRF model was successful for Italy; nevertheless, a careful inspection of forecast performance is necessary for tuning the scheme. This tuning is dependent on the season. A numerical experiment changing the microphysics scheme used in WRF shows the sensitivity of the results according to the choice of the microphysics scheme.

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Innovative Integration of Severe Weather Forecasts into an Extended Arrival Manager

et al. 2023

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In the H2020 project “Satellite-borne and INsitu Observations to Predict The Initiation of Convection for ATM” (SINOPTICA), an air traffic controller support system was extended to organize approaching traffic even under severe weather conditions. During project runtime, traffic days with extreme weather events in the Po Valley were analyzed, an arrival manager was extended with a module for 4D diversion trajectory calculation, two display variants for severe weather conditions in an air traffic controller primary display were developed, and the airport Milano Malpensa was modelled for an air traffic simulation. On the meteorological side, three new forecasting techniques were developed to better nowcast weather events affecting tactical air traffic operations and used to automatically organize arrival traffic. Additionally, short-range weather forecasts with high spatial resolution were elaborated using radar-based nowcasting and a numerical weather prediction model with data assimilation. This nowcast information was integrated into the extended arrival manager for the sequencing and guiding of approaching aircraft even in adverse weather situations. The combination of fast and reliable weather nowcasts with a guidance support system enables severe weather diversion coordination in combination with a visualization of its dynamics on traffic situation displays.

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A Nowcasting Algorithm of Severe Weather Events at Local Spatial Scale: The Venezia Case Study

Cited by 3 publications

References 11 publications

Research on meteorological impact and monitoring application of highway

Research on meteorological impact and monitoring application of highway

A Year-Long Total Lightning Forecast over Italy with a Dynamic Lightning Scheme and WRF

Innovative Integration of Severe Weather Forecasts into an Extended Arrival Manager

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