IN-CLOUD ICING SIMULATION WITH GEM-LAM MODEL
In-cloud icing on structures such as transmission lines and wind turbines is an important consideration for both design and for operations. The objectives of this research project are two fold: 1) to explore the possibility of using an atmospheric mesoscale model for in cloud icing simulations and 2) to provide a database of model icing simulations for a climatological study of rime icing. The regional GEMLAM mesoscale model of the Canadian Meteorological Center (CMC) was used to model historical icing events during which observational data are available in Mount Washington. The Milbrandt-Yau explicit precipitation scheme is used in GEM-LAM, which predicts the mixing ratio, number concentration of individual hydrometeors and gives the particle size distribution and cloud liquid water content. The microphysical variables, together with temperature and wind speed, are important inputs for driving icing models, which are used to simulate ice accretion on transmission lines and wind turbines. An important first step in this work involves comparing the GEM-LAM simulated cloud moisture properties and other meteorological data with available near-surface observational data. Detailed comparisons of the GEMLAM runs with Mount Washington observational data will be presented along with a discussion of the next steps of the research.
Jing Yang Wei Yu Kathleen F.Jones Robert Morris
Adaptation and Impacts Research Section, Climate Research Division, Environment Canada, Canada Environmental Numerical Prediction Research Section, Meteorological Research Division, Environment C Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, United States
国际会议
The 14th International Workshop on Atmospheric Icing of Structures(第十四届结构物大气覆冰国际研讨会 IWAIS 2011)
重庆
英文
59
2011-05-08（万方平台首次上网日期，不代表论文的发表时间）