Event Title

Cold-Air Damming WRF Simulations

Presenter Information

Morgan Simms, Applied Meteorology

Faculty Sponsor(s)

Jason Cordeira

Location

Hartman Union Building Courtroom

Presentation Type

Event

Start Date

4-28-2017 4:00 PM

End Date

4-28-2017 5:00 PM

Abstract

Cold-air damming (CAD) can have major impacts on transportation and local commerce in Northern New England, especially during the winter months. Changes in the lower tropospheric vertical temperature profile can cause major headaches when forecasting precipitation type. Weather models are known to struggle with the evolution of CAD, especially the erosion process. This study, funded by the National Science Foundation (NSF), uses different parameterization schemes of the Weather Research and Forecasting Model (WRF) in order to determine a model configuration that accurately resolves CAD. Using a 27-km outer domain, 9-km middle domain, and 3-km inner domain, two different runs were initiated with variations between the Mellor-Yamada-Janjic (MYJ) and Yonsei University (YSU) planetary boundary layer schemes. Both configurations simulate conditions favorable for the development of CAD, although both are weaker than observations. Future work involves variations of microphysical parameterization schemes, creating time series plots of modeled and observed temperature, potential temperature and sea level pressure. The resulting analysis could help answer questions about systematic biases in the model and handling of precipitation types.

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Apr 28th, 4:00 PM Apr 28th, 5:00 PM

Cold-Air Damming WRF Simulations

Hartman Union Building Courtroom

Cold-air damming (CAD) can have major impacts on transportation and local commerce in Northern New England, especially during the winter months. Changes in the lower tropospheric vertical temperature profile can cause major headaches when forecasting precipitation type. Weather models are known to struggle with the evolution of CAD, especially the erosion process. This study, funded by the National Science Foundation (NSF), uses different parameterization schemes of the Weather Research and Forecasting Model (WRF) in order to determine a model configuration that accurately resolves CAD. Using a 27-km outer domain, 9-km middle domain, and 3-km inner domain, two different runs were initiated with variations between the Mellor-Yamada-Janjic (MYJ) and Yonsei University (YSU) planetary boundary layer schemes. Both configurations simulate conditions favorable for the development of CAD, although both are weaker than observations. Future work involves variations of microphysical parameterization schemes, creating time series plots of modeled and observed temperature, potential temperature and sea level pressure. The resulting analysis could help answer questions about systematic biases in the model and handling of precipitation types.