¥Detection and attribution is an emerging
application
–include expected
responses to external forcing as covariates
–one approach is
via Bayes Factors
¥Main Assumptions
–Observed process
is weakly stationary
–Annual sample
large enough to justify use of EV distribution
¥Some challenges
–Data
coverage
–Scaling
issue
–How best to use
spatial information
–What to compare
model output against
–Are data being
used efficiently?