Real-time Data Displays:
- Mid-Atlantic Bight Maya Models - page1, page 2, page 3 - with SST, CODAR, currents, gliders, windsensors and buoys - COOL room development.
- STPS forecast - utilizes the currents that Rutgers Coastal Ocean Observation Lab collects
- Underwater Gliders
- HF-Radar Surface Currents: Real-time and Daily Average, data access via OPeNDAP
- New York Harbor Observing and Prediction System (NYHOPS)
+ read about NYOPS projectData-Driven Modeling of an Urban Ocean and Atmosphere
Alan F. Blumberg and Michael S. Bruno
Stevens Institute of Technology
January 21, 2008
The Stevens mantra is real-time data from mobile and fixed sensors, a data integrating next generation estuarine/coastal ocean model and quality output products.
The activities at Stevens in support of our mantra are focused on providing accurate information in real time regarding water and atmospheric conditions in shallow coastal areas and estuaries, where oceanographic and atmospheric conditions exhibit high spatial and temporal variability due to the influences of e.g., freshwater inflow, tides, micro-climate, and bottom and land topography. We are continually developing an advanced, integrated system of fixed and mobile (from ferry and sightseeing vessels) oceanographic and meteorological sensors and estuarine and coastal ocean forecasting models to allow for observation and forecast of ocean, weather, and environmental conditions throughout the Hudson River, the East River, New York Harbor, Raritan Bay, Long Island Sound and the offshore waters of the New York Bight. The observations and forecasts can be found at www.stevens.edu/maritime forecast/.
The model forecasts will guide the deployment and operation of the sensors, and the data acquired from the sensors will assist and enhance the model forecasts. A major effort involves the forecast model use of data in real-time to control autonomous underwater vehicle (AUVs) sensor platforms. The AUVs will receive wireless instructions from the forecast model and travel to specified regions in the Harbor in order to examine conditions of interest identified by the model (or system operator). Of perhaps more interest to ocean scientists working in highly-energetic nearshore and estuary environments, this communication between forecast model and AUV will allow for nearly real-time path planning in order to take advantage of favorable (e.g., following current) conditions or to avoid unfavorable conditions.
The major modeling initiatives involve data assimilation methodologies, validating the wetting and drying physics, coupling of the three-dimensional circulation model with a new surface gravity wave model and implementing a coupled high-resolution atmosphere-ocean forecasting model that covers the New York Bight Shelf and Harbor. The assimilation will be based on using observations that are provided in real time to the hydrodynamic model. A Newtonian relaxation scheme (nudging), incorporating spatially variable correlation scales, appears most useful in tidal and coastal/estuarine settings. More complex techniques like the Local Ensemble Transform Kalman Filtering (LETKF) have also been successfully tested with POM/ECOM but they are very time consuming for use in a high resolution forecast environment. The assimilation uses water level, salinity and temperature observations as well as CODAR based surface currents and drifters. Model speed and reliability improvements are continuous. The final piece of the initiative is to develop data visualization tools to display information (not data) of environment conditions and other geo-spatial information, to user-specified resolution.
- Surge Warning System (SSWSHR)
- This is the website of the Stevens Storm Surge Prediction and Warning System. The users of the service subscribe into automated coastal flooding alerts based on storm surge predictions made by the Stevens NYHOPS forecasting system. Users can use the tools provided to plot and query past and future sea lever observations/predictions at stations in and around NY/NJ Harbor. The users can also visually compare sea level data to flooding and blowout levels at multiple vertical datums. - HF-Radar Diagnostic Page
- Snapshots of the latest radial map from each site. In the future we plan to link more diagnostic tools and products to help manage the MARCOOS HF Radar Sites. - HF-Radar Antenna Pattern Measurements
- Page developed by Emily Rogalsky - diagnostic data for all 26 HF radar sites in the Mid-Atlantic. - Monthly HF-Radar Site Statistic
- Page developed by Danielle Holden.
Google Earth Files
- RUCOOL Glider Fleet Google Earth KMZ files
- Page developed by John Kerfoot - Coastal Ocean Observation Lab, Rutgers University. - RUCOOL Sea Surface Temperature Google Earth KMZ
- 24hour, 3day, and 7day SST composites for the Gulf of Mexico, Florida Current, and Gulfstream - SST over Mid-Atlantic Bight - Google Earth KML file and same image in Google Maps
- KML file created by Matt Oliver - College of Earth, Ocean, and Environment, University of Delaware. - Stevens Institute of Technology Google Earth Files.
- Interactive Google Earth Visualization of the Hydrodynamics in and around New York & New Jersey Harbor. - MARCOOS HF Radar KMZ file.
- Location of the MARCOOS HF Radar sites. - MARCOOS KMZ file
- Location of the different MARCOOS assets. - MARCOOS real-time, declouded rolling average of SST - Matt Oliver, University of Delaware
- 8 day rolling average
- 3 day rolling averages
- 1 day rolling averages
- real-time Google Earth KMZ file - NEW! - MARCOOS real-time, declouded chlorophyll data - Matt Oliver, University of Delaware
- 8 day rolling average
- 3 day rolling averages
- 1 day rolling averages
- real-time Google Earth KMZ file - NEW! - Cloud Filtered Real Time Sea Surface Chlorophyll - KML
- created by the IOOS Satellite Team: Matt Oliver, Lisa Ojanen and Oscar Schofield.
Evolution of gradients in the Mid-Atlantic
- This movie is a multi-year record of gradients between water masses in the Mid-Atlantic. The gradients are simultaneously defined by ocean color and sea surface temperature. Ocean color data and sea surface temperature are standardized, so the gradient strength is unit less. If you can't see the movie below - click here to download the same movie in Quicktime MOV format.