An Improved Trajectory Model to Evaluate the Collection Performance of Snow Gauges

Colli, Matteo; Rasmussen, Roy; Thériault, Julie M.; Lanza, Luca G.; Baker, C. Bruce et Kochendorfer, John (2015). « An Improved Trajectory Model to Evaluate the Collection Performance of Snow Gauges ». Journal of Applied Meteorology and Climatology, 54(8), pp. 1826-1836.

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Résumé

Recent studies have used numerical models to estimate the collection efficiency of solid precipitation gauges when exposed to the wind, in both shielded and unshielded configurations. The models used computational fluid dynamics (CFD) simulations of the airflow pattern generated by the aerodynamic response to the gauge/shield geometry. These are used as initial conditions to perform Lagrangian tracking of solid precipitation particles. Validation of the results against field observations yielded similarities in the overall behavior, but the model output only approximately reproduced the dependence of the experimental collection efficiency on wind speed. This paper presents an improved snowflake trajectory modeling scheme due to the inclusion of a dynamically-determined drag coefficient. The drag coefficient was estimated using the local Reynolds number as derived from CFD simulations within a time-independent Reynolds Averaged Navier-Stokes (RANS) approach. The proposed dynamic model greatly improves the consistency of results with the field observations recently obtained at the Marshall, CO Winter Precipitation Testbed.

Type: Article de revue scientifique
Mots-clés ou Sujets: Precipitation, Snow, In situ atmospheric observations, Instrumentation/sensors, Surface observations, Numerical analysis/modeling
Unité d'appartenance: Faculté des sciences > Département des sciences de la Terre et de l'atmosphère
Déposé par: Julie Mireille Thériault
Date de dépôt: 21 mars 2016 14:32
Dernière modification: 19 avr. 2016 18:01
Adresse URL : http://archipel.uqam.ca/id/eprint/7941

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