Abstract
Abstract All Lake Erie lake-effect days for a 10-year period prior to the 1976–77 snowfall season were utilized in the development of an operational lake-effect snowfall forecast model. Upper air and surface observations were combined with overtake data and analyzed, using stepwise multiple-discriminant analysis. A nine-predictor mesoscale forecast model resulted from this statistical test and its performance was evaluated during the 1976–77 and 1977–78 snowfall seasons. The results of this evaluation indicate that it is possible to predict six intensifies of the Lake Erie lake-effect snowstorm using this mesoscale model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
