Universidad Complutense de Madrid
E-Prints Complutense

Aircraft icing: in-cloud measurements and sensitivity to physical parameterizations

Impacto

Downloads

Downloads per month over past year

Merino, A. and García Ortega, E. and Fernández González, S. and Díaz Fernández, J. and Quitián Hernández, L. and Martín, M.L. and López, L. and Marcos, J.L. and Valero Rodríguez, Francisco and Sánchez, J.L. (2019) Aircraft icing: in-cloud measurements and sensitivity to physical parameterizations. Geophysical research letter, 46 (20). ISSN 0094-8276

[img]
Preview
PDF
Creative Commons Attribution.

9MB

Official URL: http://dx.doi.org/10.1029/2019GL084424




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.


Item Type:Article
Additional Information:

© 2019. The Authors. Data support came from the Atmospheric Physics Group, IMA, University of León, Spain, and the National Institute of Aerospace Technology (INTA). 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). We also thank R. Weigand for computer support to the research group, and thanks for Analisa and Steve Hunter for the translation to English language. The databases used in this study are under review in PANGAEA repository (https://doi.pangaea.de/ 10.1594/PANGAEA.907326).

Uncontrolled Keywords:Supercooled liquid water; Modeling system; Part I; Prediction; Forecasts; Precipitation; Microphysics; Simulation; Implementation; Environments
Subjects:Sciences > Physics > Atmospheric physics
ID Code:59154
Deposited On:15 Apr 2020 09:07
Last Modified:15 Apr 2020 11:44

Origin of downloads

Repository Staff Only: item control page