Hello Kyle,
I recently reviewed the storm surge simulations on GitHub and have a few questions regarding the results.
For example, in the case of Storm Surge: Zeta 2020:
- Station 1: Bay Waveland Yacht Club, MS (ID: 8748437)
- Observed: 2.40 meters
- GeoClaw Prediction: 1.10 meters
- Station 2: Pascagoula NOAA Lab, MS (ID: 8741533)
- Observed: 2.00 meters
- GeoClaw Prediction: 1.25 meters
- Station 3: Bayou La Batre Bridge, AL (ID: 8739803)
- Observed: 1.95 meters
- GeoClaw Prediction: 0.85 meters
- Station 8: Weeks Bay, Mobile Bay (ID: 8732828)
- Observed: 1.15 meters
- GeoClaw Prediction: 0.50 meters
- Station 9: New Canal Station, LA (ID: 8761927)
- Observed: 1.10 meters
- GeoClaw Prediction: 0.30 meters
Or in the case of Storm: Michael 2018:
- One station recorded a surge of 1.75 meters (GeoClaw predicted 0.50 meters).
- Another station reported 2.60 meters (GeoClaw predicted 1.25 meters).
In some instances, GeoClaw's predictions align more closely with the observed data.
Questions:
1. Do you think adjusting the wave tolerance parameter could help reduce the gap between the observed data and GeoClaw simulations?
2. Among the 37 storm surge examples, most recorded storm surges of less than 1 meter or approximately1 meter, with none reaching 4 meters. Are you aware of any instances where storm surges exceeded 4 meters during a storm?
3. I noticed some storm surges reported negative values (e.g., -0.7), indicating a decrease in normal sea level during the storm. Based on the Saffir-Simpson Hurricane Scale, the first category of storm surge starts around 1.2 cm. If fluctuations in sea level are less than the absolute value of 1.2 cm, can we classify them as storm surges, or are they variations in water level?
4. It seems that heavy rainfall during storms can contribute to increased storm surge. However, it appears GeoClaw currently simulates storm surge primarily due to wind forces. Is there any plan for incorporating rainfall effects in future simulations?
Best wishes,