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Article

A Network of X-Band Meteorological Radars to Support the Motorway System (Campania Region Meteorological Radar Network Project)

1
Department of Science and Technology, University of Naples Parthenope, 80143 Napoli, Italy
2
CIMA Research Foundation, 17100 Savona, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(9), 2221; https://doi.org/10.3390/rs14092221
Submission received: 8 February 2022 / Revised: 22 March 2022 / Accepted: 3 May 2022 / Published: 6 May 2022

Abstract

The transport sector and road infrastructures are very sensitive to the issues connected to the atmospheric conditions. The latter constitute a source of relevant risk, especially for roads running in mountainous areas, where a wide spectrum of meteorological phenomena, such as rain showers, snow, hail, wind gusts and ice, threatens drivers’ safety. In such contexts, to face out critical situations it is essential to develop a monitoring system that is able to capillary surveil specific sectors or very small basins, providing real time information that may be crucial to preserve lives and assets. In this work, we present the results of the “Campania Region Meteorological Radar Network”, which is focused on the development of X-band radar-based meteorological products that can support highway traffic management and maintenance. The X-band measurements provided by two single-polarization systems, properly integrated with the observations supplied by disdrometers and conventional automatic weather stations, were involved in the following main tasks: (i) the development of a radar composite product; (ii) the devise of a probability of hail index; (iii) the real time discrimination of precipitation type (rain, mixed and snow); (iv) the development of a snowfall rate estimator. The performance of these products was assessed for two case studies, related to a relevant summer hailstorm (which occurred on 1 August 2020) and to a winter precipitation event (which occurred on 13 February 2021). In both cases, the X-band radar-based tools proved to be useful for the stakeholders involved in the management of highway traffic, providing a reliable characterization of precipitation events and of the fast-changing vertical structure of convective cells.
Keywords: X-band weather radar; hail detection; precipitation type; snowfall rate estimation X-band weather radar; hail detection; precipitation type; snowfall rate estimation
Graphical Abstract

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MDPI and ACS Style

Capozzi, V.; Mazzarella, V.; Vivo, C.D.; Annella, C.; Greco, A.; Fusco, G.; Budillon, G. A Network of X-Band Meteorological Radars to Support the Motorway System (Campania Region Meteorological Radar Network Project). Remote Sens. 2022, 14, 2221. https://doi.org/10.3390/rs14092221

AMA Style

Capozzi V, Mazzarella V, Vivo CD, Annella C, Greco A, Fusco G, Budillon G. A Network of X-Band Meteorological Radars to Support the Motorway System (Campania Region Meteorological Radar Network Project). Remote Sensing. 2022; 14(9):2221. https://doi.org/10.3390/rs14092221

Chicago/Turabian Style

Capozzi, Vincenzo, Vincenzo Mazzarella, Carmela De Vivo, Clizia Annella, Alberto Greco, Giannetta Fusco, and Giorgio Budillon. 2022. "A Network of X-Band Meteorological Radars to Support the Motorway System (Campania Region Meteorological Radar Network Project)" Remote Sensing 14, no. 9: 2221. https://doi.org/10.3390/rs14092221

APA Style

Capozzi, V., Mazzarella, V., Vivo, C. D., Annella, C., Greco, A., Fusco, G., & Budillon, G. (2022). A Network of X-Band Meteorological Radars to Support the Motorway System (Campania Region Meteorological Radar Network Project). Remote Sensing, 14(9), 2221. https://doi.org/10.3390/rs14092221

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