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Winter Precipitation Forecasting in Georgia using Matlab Analysis

This research focuses on predicting winter precipitation in Georgia to aid in better preparedness. By analyzing existing data from KATL and KAHN from 1973-2007 using Matlab scripts, the study reveals correlations between temperature and precipitation, a 6-year precipitation cycle, and mixed results from Cross-Spectral Analysis.

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Winter Precipitation Forecasting in Georgia using Matlab Analysis

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Presentation Transcript

  1. Predicting Winter Precipitation By: Tony Cummings

  2. Problem • Winter precipitation is major issue • Georgia is not as prepared • Seasonal forecast would be helpful • Already forecast seasonal temperatures

  3. Data • Same data as undergraduate research • KATL and KAHN from 1973-2007 • ASOS data • Used Matlab script to decode

  4. Methodology • Decode Data • Analyze data • Linear Correlations [corr()] • Periodograms [periodogram()] • Cross spectral Analysis • cspd() • mscohere() • angle() .

  5. Correlations

  6. Periodograms

  7. Zoomed Periodograms

  8. Cross Spectral Analysis

  9. Phase angle

  10. Conclusions • Temps and Hours of precipitation are statistically correlated • Strong 6 year precipitation cycle • Cross Spectral Analysis results mixed • Precipitation predictions similar to temperature predictions

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