Water level predictions from
coupled MM5-ADCIRC models running at 12 km and reduced-resolution,
respectively. The Stony Brook MM5 model, a mesoscale weather forecasting
model, produces 60 hour predictions in about 120 minutes, twice a day. Wind
speed and sea-level pressure predictions are then used to drive the ADCIRC
storm surge ocean model over the same 60 hour period. The routine repeats
every 12 hours, updating the forecasts.
Times are shown in Eastern Standard Time.
The Stony Brook Storm Surge
Research Group is developing a real-time weather and ocean storm surge
prediction system which can be used for a variety of purposes. Such uses
include hurricane and nor 'easter flooding predictions and alerts, water
quality and effluent dispersion, the feasibility of building storm surge
barriers to protect the New York Metropolitan region from storm damage and
coastal flooding in an era of global climate change and rising sea level.
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