Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Mercer, Andrew
Committee Member
Fuhrmann, Christopher
Committee Member
Dyer, Jamie
Date of Degree
8-10-2018
Document Type
Graduate Thesis - Open Access
Major
Professional Meteorology/Climatology
Degree Name
Master of Science
College
College of Arts and Sciences
Department
Department of Geosciences
Abstract
The Weather Research and Forecast model (WRF) was utilized to study the effects of warmer lake surface temperatures on the lake effect snow (LES) environments of Lake Erie and Lake Ontario. Composites of recorded LES cases were created for WRF input to represent average LES conditions which revealed three distinct large-scale patterns. WRF runs consisted of altering lake temperatures up to 4.3°C for three future time frames. Lake Erie projections exhibited more sensitivity to alterations as more WRF runs revealed significant (p-value ≤ 0.05) changes to the environment. Lake Erie solely showed any distinctive changes with early and mid-century WRF runs with increased surface CAPE around 80 J/kg and total precipitation around 1.5 mm. Late century alterations for both lakes revealed significant (p-value ≤ 0.05) changes including up to 2.1 g/kg increased specific humidity and a 9K surface-850mb temperature difference indicating both lakes were most sensitive to late century alterations.
URI
https://hdl.handle.net/11668/19774
Recommended Citation
Wiley, Jacob, "Sensitivity Analysis of Lake Erie and Lake Ontario Lake Effect Snow Events using the Weather Research and Forecast Model" (2018). Theses and Dissertations. 3912.
https://scholarsjunction.msstate.edu/td/3912
Comments
synoptic||mesoscale||climate change||numerical weather prediction