supporting data for leopard shark navigation - raw shark tracks

Raw data (geographic position and mean depth between successive geographic positions) for leopard sharks that were manually acoustically tracked after being experimentally displaced offshore from the capture site off La Jolla, CA

Swimming paths of experimentally displaced leopard sharks.

<p>A) Southern California Bight, zoomed in view of box in California (CA) inset map. The major Channel Islands are indicated in italics and various basin depths are indicated in km (bathymetry credit: NOAA). B) Zoomed in view of small box in A, showing the immediate study area. Bathymetry is shown at intervals of 20 m to 100 m, then at intervals of 100 m. Also shown are tracks (ground paths) of sharks released from Site A under anosmic (red) and sham (black) conditions and of sharks released from Site B under normal conditions (blue).</p

Development of an Ocean Sciences Education Portal for Simulating Coastal Ocean Processes

For communities located along coastal regions, having information about the state of the coastal and ocean waters is vital to surfers, ocean related businesses, regional water management agencies, disaster response teams, and the military. Information about tides, water flow and temperature, and large events such as hurricanes and tsunamis are critical to the economic health and survival of these communities. Large scale systems are designed to deliver continuous and real-time data, generated by a broad suite of components that monitor the ocean on a range of space and time scales, to state and local agencies concerned with coastal water quality. Aggregators of these systems server to act as central repositories of physical data, and publish the data in digital and other formats. Providers include the California State Coastal Conservancy Coastal Ocean Currents Monitoring Program (COCMP) and the Southern California. Coastal Current Observing System (SCCOOS). SCCOOS data is published at 6-hourly nowcast, and 72-hour forecast intervals for various ocean properties (ocean currents, temperature, salinity, sea surface height) along the California coastline. SCCOOS is based on the Regional Ocean Modeling System (ROMS), which is limited in resolution to 3 km. There is a need to have coastal models with increased resolution. In this research, we increase resolution of the CA-ROMS 3-km Model by integrating data generated by the San Diego Bay General Curvilinear Coastal Ocean Model (which is nested inside the coarser CA-ROMS model) through the use of Web services that that pull nesting data from the CA-ROMS model, and publish the results for post processing on the SCCOOS Web site, and provide results for the Drop-a-Drifter web site which visualizes particle flow. In addition, we provide a community portal for users to run simulations for monitoring and observational purposes