![]() Nowcasting the precipitation phase can provide key information for meteorological services or emergency managers, who can then activate specific protocols to prevent or manage risks and harm to people and critical infrastructures (Vilaclara et al., 2010 Bonelli et al., 2011 Kann et al., 2015). Severe winter weather conditions can affect transport infrastructures, road safety, road maintenance, and everyday activities (Schmidlin, 1993 Andrey et al., 2003 Papagiannaki et al., 2013 Malin et al., 2019). The proposed methodology can be readily applied to other regions where ground-based observations, weather radar data, and model forecasts are available. Precipitation phase transitions were also analysed, finding that on average they can be forecast correctly with a lead time of 120 min. ![]() The results indicate that, although single and combined algorithms perform similarly, the latter can provide valuable information during event monitoring. Single and combined algorithms were compared to determine their suitability in conditions close to freezing point, when there is increased uncertainty about the precipitation phase. The nowcasting scheme was applied to a midlatitude region in the Northwestern Mediterranean to assess its performance during eight snowfall events. In addition, three combinations of the previous algorithms were also evaluated. In this study, a precipitation-phase nowcasting scheme was developed and evaluated, initially using eight different algorithms to classify precipitation into rain, sleet or snow, together with a probabilistic weather radar data extrapolation technique. Nowcasting schemes considering the precipitation phase generally merge extrapolated surface observations, modelled vertical temperature profiles, and extrapolated weather radar precipitation fields. Very short-range forecasts are usually based on trends of observations and numerical weather prediction models. Previous studies have addressed this issue using precipitation-phase nowcasting techniques, often focusing on critical infrastructures such as airports. Such problems may be exacerbated if there are rapid transitions between different precipitation phases within the same event. It does not store any personal data.Heavy snowfall events can cause substantial transport disruption and exert a negative socioeconomic impact, particularly in low-altitude and midlatitude regions, where it seldom snows. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is used to store the user consent for the cookies in the category "Other. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly.
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