FY2005 Funded Projects

The following is a list of projects (showing the project title and the lead PI and institution) funded under the National Oceanographic Partnership Program (NOPP) in FY2005. Discussions on the contractual details of each award were initiated at the appropriate funding agency.

For abstracts of each project and the partners involved, click on the project title.

Topic 1. Fusing Multi-Sensor Regional Scale Data to Monitor and Quantify Coastal Processes

Funding for this award was provided by the National Oceanic and Atmospheric Administration (NOAA) and the US Army Corps of Engineers (USACE).

High-level Data Fusion Software for SHOALS-1000TH
Lead PI: Dr. Grady Tuell, Optech International

Topic 2. New Methods for Detection of Fish Populations or Mapping of Fish Habitat

Funding for these awards was provided by the National Oceanic and Atmospheric Administration (NOAA), the Office of Naval Research (ONR), and the National Science Foundation (NSF).

Understanding Apex Predator and Pelagic Fish Habitat Utilization in the California Current System by Integrating Animal Tracking with in situ Oceanographic Observations
Lead PI: Dr. Daniel Costa, University of California, Santa Cruz and Dr. Barbara A. Block, Hopkins Marine Station
Development of Mid-Frequency Multibeam Sonar for Fisheries Applications
Lead PI: Dr. John Horne, University of Washington

Continuous Monitoring of Fish Population and Behavior by Instantaneous Continental-Shelf-Scale Imaging with Ocean-Waveguide Acoustics
Lead PI: Dr. Nicholas Makris, Massachusetts Institute of Technology

Novel Acoustic Techniques to Measure Schooling in Pelagic Fish in the Context of an Operational Coastal Ocean Observatory
Lead PI: Dr. Kelly Benoit-Bird, Oregon State University

A Novel Technique to Detect Epipelagic Fish Populations and Map their Habitat
Lead PI: Dr. James Churnside, National Oceanic and Atmospheric Administration

Topic 3. Sensors for Sustained, Autonomous Measurements of Chemical or Biological Parameters in the Ocean

Funding for these awards was provided by the National Oceanic and Atmospheric Administration (NOAA), the Office of Naval Research (ONR), and the National Science Foundation (NSF).

Commercialization of Autonomous Sensor Systems for Quantifying pCO2 and Total Inorganic Carbon
Lead PI: Dr. Michael DeGrandpre, University of Montana

Development of Fluorescent Induction and Relaxation Systems for the Measurement of Biomass and Primary Productivity on Webb Sloccum Gliders
Lead PI: Dr. Oscar Schofield, Rutgers University

Transitioning Submersible Chemical Analyzer Technologies for Sustained, Autonomous Observations from Profiling Moorings, Gliders and other AUVs
Lead PI: Dr. Alfred Hanson, SubChem Systems Inc.

Development of a Mass Spectrometer for Deployment on Moorings and Cabled Observatories for Long-Term Unattended Observation of Low-Molecular Weight Chemicals in the Water Column
Lead PI: Dr. Jean Whelan, Woods Hole Oceanographic Institution

Topic 4. Assessment of Global Ocean Data Assimilation Experiment (GODAE) Boundary Conditions for Coastal Ocean Predictions

Funding for these awards was provided by the National Oceanic and Atmospheric Administration (NOAA), the Office of Naval Research (ONR), and the National Aeronautics and Space Administration (NASA).

Assessing the Impact of GODAE Boundary Conditions on the Estimate and Prediction of the Monterey Bay and California Central Coast Circulation
Lead PI: Dr. Christopher Edwards, University of California, Santa Cruz

HYCOM Costal Ocean Hindcasts and Predictions: Impact of Nesting in HYCOM GODAE Assimilative Hindcasts
Lead PI: Dr. George Halliwell, University of Miami

Boundary conditions, data assimilation, and predictability in coastal ocean models
Lead PI: Dr. Roger Samelson, Oregon State University

Topic 5. (CHEMO III): Investigations of Chemosynthetic Communities on the Lower Continental Slope of the Gulf of Mexico

Funding for this award was provided by the Minerals Management Service (MMS), the National Oceanic and Atmospheric Administration (NOAA), and the US Geological Survey (USGS).