Predicting and evaluating extreme weather events
Predicting and evaluating extreme weather events
Predicting and evaluating extreme weather events
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Large-scale indicators for Severe <strong>weather</strong><br />
Three models of increasing complexity applied to threshold excesses<br />
(over the 95-th quantile of daily maximum WmSh).<br />
Model 1: Very Simple<br />
GPD with (ln) scale <strong>and</strong> shape parameter varying by region only.<br />
y td (s l )|ψ u(sl )(s l ), ξ(s l ) iid ∼ GPD(ψ u(sl )(s l ), ξ(s l )), where<br />
<strong>and</strong><br />
ln(ψ u(sl )(s l )) = α ψ + 1 sl ∈A ψ<br />
δ ψ ,<br />
ξ(s l ) = α ξ + 1 sl ∈A ξ<br />
δ ξ ,<br />
with A x somewhat arbitrarily chosen regions representing areas of<br />
exceptional values of these parameters as estimated via MLE at<br />
individual locations (this roughly translates to the “tornado alley").<br />
Priors for these parameters are taken as α ψ ∼ N(5.5, 1), δ ψ ∼ N(0, 1),<br />
α ξ ∼ N(0, 0.2 2 ), δ ξ ∼ N(0, 0.2 2 ).