Transcription of Machine Learning Applied to Weather Forecasting
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Machine Learning Applied to Weather Forecasting
Machine Learning Applied to Weather ForecastingMark Holmstrom, Dylan Liu, Christopher VoStanford University(Dated: December 15, 2016) Weather Forecasting has traditionally been done by physical models of the atmosphere, which areunstable to perturbations, and thus are inaccurate for large periods of time. Since Machine learningtechniques are more robust to perturbations, in this paper we explore their application to weatherforecasting to potentially generate more accurate Weather forecasts for large periods of time. Thescope of this paper was restricted to Forecasting the maximum temperature and the minimum tem-perature for seven days, given Weather data for the past two days.
Dec 15, 2016 · ing the equations of uid dynamics and thermodynam-ics. However, the system of ordinary di erential equa-tions that govern this physical model is unstable under perturbations, and uncertainties in the initial measure-ments of the atmospheric conditions and an incomplete understanding of complex atmospheric processes restrict
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