Tuesday, 8 January 2019: 11:15 AM
North 129B (Phoenix Convention Center - West and North Buildings)
In 2016, I developed an equation based off prior research (Slingo et al 1987), to help forecast cloud coverage around San Francisco, and for flight delays at San Francisco International Airport. Python (the matplotlib framework for visual plotting, and numpy and math\ for statistical processing) was used to derive a predictive model of cloud formation from 12km NAM data. Case studies revolving around ground fog and summertime stratus were developed. Overall, the predictive model performed well, accurately predicting cloud coverage in many cases. Results and potential future work will be discussed.
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