Abstract: Analog ensemble and Bayesian regression techniques to improve the wind speed prediction during extreme storms in the NE U.S. (2016 AGU Fall Meeting)

Analog ensemble and Bayesian regression techniques to improve the wind speed prediction during extreme storms in the NE U.S.

Jaemo Yang¹, Marina Astitha², Luca Delle Monache³ and Stefano Alessandrini³, (1)University of Connecticut, Civil and Environmental Engineering, Groton, CT, United States, (2)University of Connecticut, Civil & Environmental Engineering, Groton, CT, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States

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