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Aircraft icing: in‐cloud measurements and sensitivity to physical parameterizations
Title: Aircraft icing: in‐cloud measurements and sensitivity to physical parameterizations
Authors: Merino Suances, AndrésGarcía Ortega, EduardoFernández-González, Sergio ORCID RESEARCHERID SCOPUSID Autor AEMETDíaz Fernández, JavierQuitián Hernández, LaraMartín Pérez, María LuisaLópez Campano, LauraMarcos Menéndez, José LuisValero Rodríguez, FranciscoSánchez Gómez, José Luis
Keywords: Supercooled cloud drops; Aircraft; Atmospheric icing conditions
Issue Date: 2019
Publisher: American Geophysical Union
Citation: Geophysical Research Letters. 2019, 46(20), p. 11559-11567
Publisher version:
Abstract: The prediction of supercooled cloud drops in the atmosphere is a basic tool for aviation safety, owing to their contact with and instant freezing on sensitive locations of the aircraft. One of the main disadvantages for predicting atmospheric icing conditions is the acquisition of observational data. In this study, we used in‐cloud microphysics measurements taken during 10 flights of a C‐212 research aircraft under winter conditions, during which we encountered 37 regions containing supercooled liquid water. To investigate the capability of the Weather Research and Forecasting model to detect regions containing supercooled cloud drops, we propose a multiphysics ensemble approach. We used four microphysics and two planetary boundary layer schemes. The Morrison parameterization yielded superior results, whereas the planetary boundary layer schemes were essential in evaluating the presence of liquid water content. The Goddard microphysics scheme best detected the presence of ice water content but tended to underestimate liquid water content.
Sponsorship : This research was carried out in the framework of the SAFEFLIGHT project, financed by MINECO (CGL2016‐78702) and LE240P18 project (Junta de Castilla y León).
ISSN: 0094-8276
Appears in Collections:Artículos científicos 2019-2022

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