Machine Learning and More Tolerable New York Winters
Above all, it’s the New York State Mesonet that may prove most useful for the project. The network is made up of 126 weather stations across the state capable of generating the kind of granular, real-time weather data that’s ideal for AI. Applying machine learning to the data will help develop and advance forecasting possibilities. For example, the use of standard weather tracking information — temperature, barometric pressure, wind speed — can help monitor and create better models to anticipate developing snowstorms or chart their path.
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The hope is to enable groups like power providers and the state’s Department of Transportation to have real-time data that can help them do their jobs better. Snowplows could be at the ready to clear roads sooner, school closures could be announced in advance and utility crews could be set up and waiting to leap into action.
For cities that come to a standstill due to snowfall, these measures could go a long way toward making long, cold winters just a little more tolerable.