1 / 22

Refinements to Atlantic Basin Seasonal Hurricane Prediction from 1 December

Refinements to Atlantic Basin Seasonal Hurricane Prediction from 1 December. Phil Klotzbach 33 rd Annual Climate Diagnostics and Prediction Workshop October 21, 2008. Gray et al. (1992). Problems with Earlier December Forecast Schemes.

hooverb
Télécharger la présentation

Refinements to Atlantic Basin Seasonal Hurricane Prediction from 1 December

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. Refinements to Atlantic Basin Seasonal Hurricane Prediction from 1 December Phil Klotzbach 33rd Annual Climate Diagnostics and Prediction Workshop October 21, 2008

  2. Gray et al. (1992)

  3. Problems with Earlier December Forecast Schemes • Predictor pool too large – attempting to hindcast too many tropical cyclone metrics • Too many predictors utilized in forecasting each parameter – likely overfit the data • - Tenuous links between individual predictors and tropical cyclone activity during the following year’s hurricane season (e.g., QBO) • - Prediction scheme developed over the full data period – no “independent” testing done

  4. Linear correlation between previous year’s QBO and the following year’s August-October sea surface temperature (a), August-October sea level pressure (b), August-October 200 mb zonal wind (c), and August-October 925 mb zonal wind (d)

  5. Objectives • - To develop a statistical scheme for forecasting NTC from 1 December that shows hindcast skill over the dependent dataset of 1950-1989 and “forecast skill” over an “independent” dataset from 1990-2007 • - To design this forecast utilizing NCEP/NCAR reanalysis • - To determine physical relationships between predictors utilized in the forecast and Atlantic Basin tropical cyclones

  6. Methodology - Correlate October-November NCEP/NCAR reanalysis fields of sea level pressure, sea surface temperature and 500 mb geopotential height with seasonal NTC over the period from 1950-1989 - Add predictors to the forecast using a stepwise regression technique - Only keep predictors that explain an additional 3% in NTC variance over the periods of 1950-1989, 1990-2007 and 1950-2007

  7. October-November Correlation between SST and the following year’s Atlantic NTC

  8. Predictor 1 Physics (+) October-November SST (55º-65ºN, 60º-10ºW) - Warm North Atlantic related to positive phase of the AMO - Strong auto-correlation between late fall North Atlantic SSTs and following summer/fall SSTs, both in the tropical and North Atlantic - Positive phase of the AMO is associated with a warm tropical Atlantic, low sea level pressures and reduced levels of vertical wind shear during the following August-October period

  9. Linear correlation between October-November SST in the North Atlantic (Predictor 1) and the following year’s August-October sea surface temperature (a), August-October sea level pressure (b), August-October 200 mb zonal wind (c), and August-October 925 mb zonal wind (d)

  10. Predictor 2 Physics (+) November 500 mb Geopotential Height (67.5º-85ºN, 50ºW-10ºE) - Predictor correlates at -0.73 with November Arctic Oscillation (AO) index - Negative AO values imply weaker westerlies, more blocking, a weaker Azores high, weaker trades and warmer tropical Atlantic SSTs - Warm tropical Atlantic SSTs, weaker vertical wind shear and lower pressures are clearly evident during the August-October period

  11. Linear correlation between November 500 mb heights in the far North Atlantic (Predictor 2) and the following year’s August-October sea surface temperature (a), August-October sea level pressure (b), August-October 200 mb zonal wind (c), and August-October 925 mb zonal wind (d)

  12. Predictor 3 Physics (+) November SLP (7.5º-22.5ºN, 175º-125ºW) - High pressure in the subtropical Northeast Pacific drives stronger trade winds encouraging mixing and upwelling – helping to initiate or prolong La Niña conditions - Strong trades also inhibit discharge of the warm pool in the western Pacific - La Niñais associated with anomalous upper-level easterlies during August – October, thereby reducing Atlantic basin vertical wind shear

  13. Linear correlation between November SLP in the subtropical Northeast Pacific (Predictor 3) and the following year’s August-October sea surface temperature (a), August-October sea level pressure (b), August-October 200 mb zonal wind (c), and August-October 925 mb zonal wind (d)

  14. Individual Predictor Correlations with Seasonal NTC

  15. Stepwise Equation Regression Development with Seasonal NTC

  16. Ranking Methodology - Rank all statistical hindcast values from 1950-2007 - Assign observed NTC values based on the rankings assigned - Assign final hindcast NTC based on rank value - Hindcast NTC values restricted to range from 40 – 200

  17. Top 15 NTC Hindcasts 7 Major Hurricane Landfalls 1950-2007 Florida Peninsula and East Coast Bottom 15 NTC Hindcasts 2 Major Hurricane Landfalls 1950-2007 Florida Peninsula and East Coast

  18. Summary and Conclusions - Three predictors were selected that explained 54% of the variance in Net Tropical Cyclone activity over the 1950-2007 period - The scheme was developed over 1950-1989 and then tested over 1990-2007 - Utilizing these NTC hindcasts, one can issue United States landfall probability forecasts with skill well-exceeding climatology Full discussion of forecast model available in: Klotzbach, P. J., 2008: Refinements to Atlantic basin seasonal hurricane prediction from 1 December. J. Geophys. Res., 113, D17109, doi: 10.1029/2008JD010047

  19. Questions???

More Related