1 / 11

Term Project:

Term Project: Correlation of AO Indices vs. Corresponding Tornadic Centroid Location and Total Tornado Count April Haneklau EAS 4480 – Environmental Data Analysis April 23, 2013. Introduction. Idea : Positive AO = Tornadic Activity. Cold air. Reason : Warmer temperatures ⟹

hedva
Télécharger la présentation

Term Project:

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Term Project: Correlation of AO Indices vs. Corresponding Tornadic Centroid Location and Total Tornado Count April Haneklau EAS 4480 – Environmental Data Analysis April 23, 2013

  2. Introduction • Idea: • Positive AO • = • Tornadic Activity Cold air Reason: Warmer temperatures ⟹ Sharper temperature gradients Warm air

  3. Overview • Analyzing correlation between AO indices and tornadic activity of April of each year. • Monthly = 1990-2012. • Daily = 2000-2012 April 2011! • Data collected from NCDC Storm Events Database and CPC Teleconnection Archives.

  4. Primary Calculations • Weighted Average: • From daily storm reports, a weighted average (by EF/F rating) latitude and longitude value was calculated for each year's April. • Purpose: to show location of centroid of tornadic activity • Correlation Coefficient & Least-Squares Regression • Calculated the correlation and least-squares regression between AO and monthly weighted latitudes & longitudes, monthly tornado count and daily tornado count. • Periodogram • Calculated and plotted periodogram of monthly weighted latitudes & longitudes, monthly tornado count, daily tornado count, monthly AO indices and daily AO indices. • Purpose: to identify possible cycles. • Covariance & CPSD • Calculated cross power spectral density to identify possible shared cycles observed in periodogram. • Calculated lag time from covariance of daily data to identify lag between observed AO & tornadic activity.

  5. Weighted Average Calculation April 2011!

  6. Histogram: Positive vs. Negative AO

  7. Daily Variables Correlation Coefficient & Lag • Monthly Variables Significant!

  8. Least-Squares Regression North East South West April 2011!

  9. Periodogram

  10. CPSD Estimate

  11. Houston, we have a problem... • Tornado rating scale changed from F to EF in 2007. Thus, weights could potentially be slightly skewed. • Data not well obtained/archived before 2000; 107 days in 1990's had incomplete data and were excluded from calculations. • Only analyzed 23 years; likely would see significant or real peaks with larger dataset.

More Related