Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/10159
Analysis of a seeder-feeder and freezing drizzle event
Title: Analysis of a seeder-feeder and freezing drizzle event
Authors: Fernández-González, Sergio ORCID RESEARCHERID SCOPUSID Valero Rodríguez, FranciscoSánchez Gómez, José LuisGascón, EstíbalizLópez Campano, LauraGarcía Ortega, EduardoMerino Suances, Andrés
Keywords: Surface icing; Numerical weather prediction models
Issue Date: 2015
Publisher: American Geophysical Union
Citation: Journal of Geophysical Research: Atmospheres. 2015, 120(9), p. 3984-3999
Publisher version: https://dx.doi.org/10.1002/2014JD022916
Abstract: Surface icing can cause dramatic consequences on human activities. What is more, numerical weather prediction models are not very accurate in determining freezing drizzle, which creates uncertainty when forecasting this type of weather phenomenon. Therefore, it is essential to improve the forecast accuracy of these models for such phenomena to mitigate risks caused by unforeseen freezing drizzle events. On 5 February 2012, an episode of freezing drizzle took place in the Guadarrama Mountains, at the center of the Iberian Peninsula. This episode was preceded by weak snowfall. After the freezing drizzle, moderate snowfall was recorded in the study area. This event was simulated using the Weather Research and Forecasting model. Through this analysis, we identified the meteorological factors at both synoptic scale and mesoscale that caused this episode. Wind perpendicular to an orographic barrier-generated updrafts and retention of moisture upwind, which caused orographic clouds to appear on the north side of the Guadarrama Mountains. Atmospheric stability prevented cloud formation at midlevels at the time of the freezing drizzle, which maintained cloud top temperatures warmer than −15ºC during the episode. The entrance of moisture and instability at midlevels caused cloud top temperatures substantially colder than −15º C, which coincided with snow in the mountain range. Cloud top temperature and thickness control the efficiency of the glaciation process, thereby determining the type of precipitation at the surface. Freezing drizzle risk and in-cloud icing algorithms were developed with the aim of predicting similar events in the study area, which could mitigate impacts on human activities.
Sponsorship : This paper was supported by the following grants: TEcoAgua, METEORISK PROJECT (RTC-2014-1872-5), Granimetro (CGL2010-15930) and CGL2011-25327 of MINECO, and LE220A11-2 and LE003B009 awarded by the Junta de Castilla y León.
URI: http://hdl.handle.net/20.500.11765/10159
ISSN: 2169-897X
2169-8996
Appears in Collections:Artículos científicos 2015-2018


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