New blog post “Hurricane Irma Storm Surge in Tampa Bay“
Thankfully Hurricane Irma is now gone. Clean up efforts are underway in Florida and Georgia and surveys to SECOORA assets are beginning. In the meantime, take a look at Mark Luther’s Blog post “Hurricane Irma Storm Surge in Tampa Bay” to learn more about Irma’s impacts.
Taking the Pulse of the Storm
SECOORA assets are providing real-time information on Hurricane Irma.
Buoys provide real-time measurements of conditions in the water. As Hurricane Irma moves closer to Florida, use the SECOORA Data Portal to view assets over modeled predictions.
Pictured is the C13 buoy real-time wind speeds coupled with the CNAPS modeled Wind Induced Significant Wave Height.
High Frequency Radar
High Frequency (HFR) use radar technology to map surface currents in real-time. SECOORA and U.S. IOOS help support many HFR systems along the South Atlantic Bight.
Pictured is Hurricane Irma’s predicted track over the HFR data coverage coupled with the CNAPS modeled Wind Induced Significant Wave Height
Hurricane Tracking Resources
The SECOORA Data portal allows users to explore, download and visualize ocean and coastal data in the SECOORA domain. When a storm is approaching, check out the sensors map to see the storm data in real time.
Visit the SECOORA Marine Weather Portal (MWP) for up-to-date weather hazards, tropical cyclone forecasts, and observations as hurricanes and tropical storms approach the southeast. The new National Weather Service Hurricane Threats and Impacts map has been added to the MWP which indicates worse case scenarios for planning purposes.
NOAA’s nowCOAST is a GIS-based online web mapping service which provides frequently updated weather and ocean observations, coastal and marine weather warnings and forecasts, and National Hurricane Center potential storm surge flooding maps.
StormTrack allows you to see the latest predicted track of an identified storm. By using their wealth of real time observations, meteorological tools, and precision models, you can see exactly how each storm is progressing. Each storm page grants access to premium level data for the duration of the storm.
Real time coastal wind, wave, and water level guidance is presented for the east central Florida coast, focusing on the Indian River Lagoon and Brevard County. Model products available on the site include: ADCIRC+SWAN numerical model using NOAA’s North American Mesoscale (NAM) model and the latest forecast/advisory from the National Hurricane Center (NHC).
Storm Surge and Flooding Resources
When NOAA issues a tropical storm warning for the U.S. or its territories, the Storm QuickLook is activated. This online tool is a snapshot of near real-time coastal and weather observations,the latest NWS advisories, and time-series plots of water level and meteorological data at selected locations. Following significant storms, CO-OPS will also issue post-storm data reports displaying verified water level measurements and highlighting maximum storm tide and storm surge at locations affected by the storm.
The USGS Flood Event Viewer (FEV) is the public data discovery component of the Short-Term Network (STN) database. It features 200+ USGS storm surge sensors and rapid deployment real-time gauges.
CERA is a component of the Advanced Surge Guidance System (ASGS). Based on the Advanced Circulation and Storm Surge model (ADCIRC), coupled with the SWAN Wave model, the ASGS generates real-time storm surge guidance for updating emergency response groups during a tropical or hurricane event. The CERA web application provides an easy-to-use interactive web interface which allows emergency managers to quickly evaluate critical situations. Information and maps related to the official hurricane advisories, as issued by the National Hurricane Center, are available every six hours during a storm.
Data and Other Modeling Resources
Ocean heat help fuel storms. The satellite derived sea surface temperature maps represents the integrated heat from the surface to the seafloor. Hurricane Irma’s track is overlaid on sea surface temperature. Operated by Nick Shay, University of Miami Rosenstiel School of Marine and Atmospheric Science.
The Surfline camera network gives a real time look at shoreline conditions. Surfline has cameras located all across the US. With many cameras in the SECOORA domain, users can choose a location and view the waves. To access cameras near the path of a hurricane.
Track surface currents and waves related to Hurricane Irma. The University of Miami/Rosenstiel School of Marine and Atmospheric Sciences is currently operating three WERA High Frequency radars in Crandon Park on Key Biscayne, Virginia Key and John U Lloyd Park on Dania Beach. The radars at Crandon Park, Virginia Key, and Dania Beach provide measurement of ocean surface currents over a large area offshore of Miami, FL. The most recent hourly average surface current data is plotted on a 2.4 km grid.
USF COMPS consists of an array of instrumentations along the West Florida Shelf. The data collected supports a variety of management issues, including more accurate predictions of coastal flooding by storm surge, safety and efficiency of marine navigation, search and rescue efforts, and fisheries management.
The Florida Atlantic University Harbor Branch operates Land/Ocean Biogeochemical Observatory (LOBO) units in the Indian River Lagoon and St. Lucie Estuary on the east coast of Florida. Click here to access data.
The Coupled Northwest Atlantic Prediction System (CNAPS) is a three-dimensional marine environment nowcast and forecast model developed by the Ocean Observing and Modeling Group at North Carolina State University. It covers the entire footprint of the Gulf of Mexico and the Southeast. This fully coupled ocean circulation, wave, and atmosphere model predicts conditions over a wide area of the coastal northwest Atlantic Ocean based on data collected daily.
Weather-Ready Nation Ambassador™
As a Weather-Ready Nation Ambassador™, SECOORA is committed to working with NOAA and other Ambassadors to strengthen national resilience against extreme weather. Click here to read more about WRN.
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