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Hybrid fine scale climatology and microphysics of in-cloud icing : From 32km reanalysis to 5km mesoscale modeling

Lamraoui Fayçal, Benoit Robert, Perron Jean, Fortin Guy et Masson Christian. (2015). Hybrid fine scale climatology and microphysics of in-cloud icing : From 32km reanalysis to 5km mesoscale modeling. Atmospheric Research, 154, p. 175-190.

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URL officielle: http://dx.doi.org/doi:10.1016/j.atmosres.2014.11.0...

Résumé

In-cloud icing can impose safety concerns and economic challenges for various industries. Icing climate representations proved beneficial for optimal designs and careful planning. The current study investigates in-cloud icing, its related cloud microphysics and introduces a 15-year time period climatology of icing events. The model was initially driven by reanalysis data from North American Regional Reanalysis and downscaled through a two-level nesting of 10. km and 5. km, using a limited-area version of the Global Environment Multiscale Model of the Canadian Meteorological Center. In addition, a hybrid approach is used to reduce time consuming calculations. The simulation realized exclusively on significant icing days, was combined with non-significant icing days as represented by data from NARR. A proof of concept is presented here for a 1000. km area around Gaspé during January for those 15. years. An increase in the number and intensity of icing events has been identified during the last 15years. From GEM-LAM simulations and within the atmospheric layer between 10m and 200m AGL, supercooled liquid water contents indicated a maximum of 0.4gm-3, and 50% of the values are less than 0.05gm-3. All values of median volume diameters (MVD) are approximately capped by 70μm and the typical values are around 15μm. Supercooled Large Droplets represent approximately 5%. The vertical profile of icing climatology demonstrates a steady duration of icing events until the level of 60m. The altitudes of 60m and 100m indicate substantial icing intensification toward higher elevations. GEM-LAM demonstrated a substantial improvement in the calculation of in-cloud icing, reducing significantly the challenge posed by complex terrains.

Type de document:Article publié dans une revue avec comité d'évaluation
Volume:154
Pages:p. 175-190
Version évaluée par les pairs:Oui
Date:2015
Sujets:Sciences naturelles et génie > Génie > Génie des matériaux et génie métallurgique
Sciences naturelles et génie > Sciences appliquées > Climatologie et météorologie
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées > Module d'ingénierie
Mots-clés:climatology, cloud microphysics, in-cloud icing, mesoscale modeling, reanalysis
Déposé le:04 juill. 2016 16:10
Dernière modification:09 déc. 2016 15:44
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