Most of SurgeMIP models just run "storm tide" (astronomical tide + wind and pressure-driven barotropic surge).
So running this detiding operation on those outputs should give a really good signal of "storm surge".
The main issue comes when we compare "storm surge" from observations (GESLA) which contain other components.
There are lower frequency non-barotropic signals due to seasonal heating/cooling, ocean currents, mesoscale eddies, sea-level rise etc. How do we treat the observation when analyzing? Should we run a say a 30-day moving mean filter over them before or after detiding?
In addition, models like the ECCC one does include baroclinic components, so we may need to consider how to fairly treat those model outputs for comparison.
Most of SurgeMIP models just run "storm tide" (astronomical tide + wind and pressure-driven barotropic surge).
So running this detiding operation on those outputs should give a really good signal of "storm surge".
The main issue comes when we compare "storm surge" from observations (GESLA) which contain other components.
There are lower frequency non-barotropic signals due to seasonal heating/cooling, ocean currents, mesoscale eddies, sea-level rise etc. How do we treat the observation when analyzing? Should we run a say a 30-day moving mean filter over them before or after detiding?
In addition, models like the ECCC one does include baroclinic components, so we may need to consider how to fairly treat those model outputs for comparison.