New Jersey Coastal Monitoring Network Tom Herrington Research Assistant Professor Davidson Laboratory, Stevens Institute of Technology.

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Presentation transcript:

New Jersey Coastal Monitoring Network Tom Herrington Research Assistant Professor Davidson Laboratory, Stevens Institute of Technology

New Jersey Coastal Monitoring Network In situ atmospheric and oceanographic sensors designed to provide real-time data Funded by state of New Jersey to: Benchmark and monitor coastal trends Provide “real time” data to OEM Provide public access to continuous data

Existing Real-Time Wind Gauges

Offshore Bathymetry

Coastal Monitoring Network Nodes

Coastal Monitoring Node

Weather Tower

Data Acquisition System

Real-Time Web-Based Data Display Coastal Monitoring Network at Avalon, NJ Conditions as of 1700 EDT on 9/8/99 Wind Speed: 5.03 m/s (9.77 knots) Wind Direction: 205° (SSW) Wind Gust: 8.23 m/s (15.99 knots) Atmospheric Pressure: mb (29.78 in. Hg) Air Temperature: 24.6°C (76.2°F) Significant Wave Height: 0.79 m (2.58 ft) Wave Period: 5.8 sec Water Depth at Gauge: 5.02 m (16.48 ft) Water Temperature: 22.0°C (71.6°F)

Hurricane Floyd Image Analysis

R apidly-Deployed Coastal O bser V ation System for High-Impact Coastal Weath ER (ROVER)

ROVER Prototype Development Funded by the NJ State Police OEM Design Criteria: –Provide real-time wind and surge data over large spatial area in support of OEM operations –Able to be deployed within 24 hours –Inexpensive (expendable) units –Web-based data interface

ROVER Specifications Low Surface Area Mount Helical Screw Pile Foundation Quick Connect Galvanized Pipe Mast Galvanized Pipe Cross-Arm Split Clamp Instrument Mounts Cellular Transmission of Data Powered by a Deep Cycle Battery

ROVER Deployment

Educational Opportunities Real-time data display on the internet has facilitated the use of CMN by K-12 and college students alike. Freely accessible real-time data has generated strong public interest making the system a platform for public education and outreach. System can host additional instrumentation for short-term collaborative studies Continuous data acquisition generates a long-term database for Masters and PhD level research.