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Ensemble, Corrected Consensus, and Weighted Consensus TC Track Forecasts James S. Goerss

This study analyzes the performance of weighted consensus track forecasts for the Atlantic basin in 2008, comparing them to the widely-used consensus model. Various models and predictors were considered to produce the corrected consensus (TVCC) forecasts. The results indicate that weighted consensus forecasts can improve track predictions if certain models perform significantly better than others. However, the consistency of this improved performance across seasons and basins remains to be determined.

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Ensemble, Corrected Consensus, and Weighted Consensus TC Track Forecasts James S. Goerss

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  1. Ensemble, Corrected Consensus, and Weighted Consensus TC Track Forecasts James S. Goerss NRL Monterey March 4, 2009

  2. or How to Beat Consensus* *at least for the Atlantic basin in 2008

  3. Track Forecast Guidance • Interpolated Model Guidance • AVNI – Global Forecast System (GFS) run at NCEP • GFDI – GFDL model run at NCEP • HWFI – Hurricane WRF run at NCEP • NGPI – Navy global model (NOGAPS) run at FNMOC • GFNI – GFDL model run at FNMOC • EGRI –UK Met Office global model • EMXI – ECMWF global model • TVCN – Consensus of above models (at least two) • AEMI – NCEP GFS ensemble mean

  4. Corrected Consensus (TVCC) • Possible predictors are consensus model spread; initial and forecast TC intensity; initial TC location and forecast displacement of TC location (latitude and longitude); TC speed of motion; and number of members available. • Regression models to predict TVCN east-west and north- south forecast error for all forecast lengths were derived using the aforementioned pool of predictors for the 2002-2007 seasons • The means of the TVCN east-west and north-south forecast errors for all forecast lengths were also found for the 2002- 2007 seasons to be used as bias correctors. • Optimal combinations of the statistical and bias correctors are used to produce corrected consensus (TVCC) forecasts for the Atlantic and eastern North Pacific basins.

  5. 2008 Atlantic Non-Homogeneous TC Forecast Error (nm) * Best Non-Consensus Guidance * * * * * 314 251 204 160 131 Number of Forecasts

  6. 2008 Atlantic Forecast Availability Percentage

  7. 2008 Atlantic TC Forecast Error Percent Improvement over GFDI

  8. Weighted Consensus Guidance • Based on the forecast performance for EMXI and AEMI in the Atlantic for 2008, the following weighted consensus forecast aids were computed: • CNW6 – Determined just like TVCN except, that instead of equal weight for all models, 6 times the weight was applied to EMXI (roughly the same as taking the average of TVCN and EMXI) • CON3 – Determined by taking the average of the TVCN, EMXI, and AEMI forecasts (at least TVCN).

  9. 2008 Atlantic Homogeneous TC Forecast Error (nm) 306 249 202 158 131 Number of Forecasts

  10. 2008 Atlantic TC Forecast Error Percent Improvement over TVCN

  11. 2008 Eastern North Pacific Non-Homogeneous TC Forecast Error (nm) * Best Non-Consensus Guidance * * * * * 238 178 130 90 57 Number of Forecasts

  12. 2008 Eastern North Pacific Forecast Availability Percentage

  13. 2008 Eastern North Pacific TC Forecast Error Percent Improvement over Best Model

  14. 2008 Eastern North Pacific Homogeneous TC Forecast Error (nm) 236 178 129 89 56 Number of Forecasts

  15. 2008 Eastern North Pacific TC Forecast Error Percent Improvement over TVCN

  16. Summary • For both the Atlantic and eastern North Pacific basins in 2008, the corrected consensus (TVCC) forecast errors were not much better or worse than those for TVCN. • Due to the superior performance of EMXI and AEMI (at 96 h and 120 h) in the Atlantic, the forecast errors for CNW6 were 6-9 percent better than those for TVCN at all forecast lengths while those for CON3 were 14-16 percent better at 96 h and 120 h. • Due to the average performance of EMXI and inferior performance of AEMI in the eastern North Pacific, the forecast errors for CNW6 were 5-12 percent worse than those for TVCN for forecast lengths greater than 72 h while those for CON3 were 14-26 percent worse for forecast lengths greater than 24 h. • The Atlantic results indicate that weighted consensus TC track forecast aids are capable of producing improved track forecasts if one or more of the models perform considerably better than the others. However, whether such improved model performance is consistent from season to season has yet to be determined. The eastern North Pacific results suggest that such performance and the utility of weighted consensus track forecasts are likely to be basin dependent.

  17. Questions?

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