Corpus ID: 17223670

Convective Initiation Forecasts Through the Use of Machine Learning Methods

@inproceedings{Veillette2013ConvectiveIF,
  title={Convective Initiation Forecasts Through the Use of Machine Learning Methods},
  author={M. Veillette},
  year={2013}
}
Detection and forecasting of convective initiation (CI) is an important problem, not only for aviation related purposes, but across all forms of business and general recreation. For aviation in particular, hazards related to thunderstorms, such as lightning, hail, strong winds and wind shear, are very costly to airlines through delays and wasted fuel in the events of holding or diversions. Current nowcasting systems, such as MIT Lincoln Laboratory’s Corridor Integrated Weather System (CIWS… Expand
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References

SHOWING 1-10 OF 17 REFERENCES
Forecasting Convective Initiation by Monitoring the Evolution of Moving Cumulus in Daytime GOES Imagery
  • 173
  • Highly Influential
  • PDF
Nowcasting Storm Initiation and Growth Using GOES-8 and WSR-88D Data
  • 142
  • Highly Influential
  • PDF
A sequential variational analysis approach for mesoscale data assimilation
  • 29
  • PDF
Machine Learning Benchmarks and Random Forest Regression
  • 334
Random Forests
  • L. Breiman
  • Mathematics, Computer Science
  • Machine Learning
  • 2004
  • 52,168
  • PDF
Mean Shift: A Robust Approach Toward Feature Space Analysis
  • 10,973
  • PDF
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