Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • Data Processing Description
• Data Files
• Related Publications
• Parameters
• Instruments
• Deployments
• Project Information
• Funding

Temperature from a thermistor chain deployed along a 30m depth contour at Mission Beach, CA in June of 2016.  Water temperatures are measured values at each instrument height, interpolated on a common time grid.

The default data format served through the BCO-DMO data system is tabular.  These data are available to download as matrices in NetCDF (.nc) and Matlab (.mat) files in the "Data Files" section of this page.

* WireWalker  https://www.bco-dmo.org/dataset/742124
* ADCP https://www.bco-dmo.org/dataset/742132

A vertical array of thermistors was deployed on the 30-m depth contour off Mission Beach, CA in line with Internal Waves on the Continental Margin (IWAVES) stations.  For more information about IWAVES stations see Lerczark, 2001. Thermistors were spaced 1-m apart in the vertical.  One thermistor was added at the surface. See Tchain30_MooringSchematic.pdf for a diagram of the thermistor configuration and serial numbers. Depth values in this schematic are the target deployment depths and vary from the measured values due to tidal fluctuations.

RBRsolo s/n 10174 and 10178, and SBE56 s/n 00345 were either lost from entanglement with fishing boat or did not record data. Unix timestamp derived using RSKtool datenum2unixtime(), time steps should be 1 s, but varies between 0, 1, and 2 s. Use start time and add 1 s if needed. 

BCO-DMO Data Manager Processing Notes:

* added a conventional header with dataset name, PI name, version date

* modified parameter names to conform with BCO-DMO naming conventions

* blank values in this dataset are displayed as "nd" for "no data."  nd is the default missing data identifier in the BCO-DMO system.

* created tabular version of data by converting Matlab struct to a Matlab Table type then exported as csv.

* rounded matlab double values to three decimal places before writing to csv.

* On the first day (2018-06-13) records are ommitted in the tabular version of the data.  All values (except depth &time) were NaN values.

Coastal waters are among the most heavily used and threatened systems on the planet. Successful prediction and management of coastal resources can only come from a deep understanding of the dynamics of the species in these regions. Fluctuations of coastal invertebrate and vertebrate populations are often driven by the supply of planktonic larvae to the adult habitat by ocean currents. Numerous studies have associated the cross-shelf transport of plankton - including the larvae of economically valuable species - with the internal tide: a wave in the ocean's interior that oscillates at the tidal frequency. Though the interactions of plankton with internal waves have been studied for decades, it has not been possible to track individual plankton underwater. Thus, the dynamics underlying the cross-shelf transport of plankton in internal waves and internal tides remain conjectural. This project will use undersea swarms of novel, autonomous plankton-mimicking drifting robots to quantify, in situ, the cross-shore transport of plankton driven by high-frequency internal waves and the internal tide. This research will significantly enhance our understanding of the distributions, settling patterns, and population connectivity of coastal species. One PhD student will be supported and educational outreach in collaboration with the Ocean Discovery Program in San Diego will support curricula creation, after-school programs, and teacher development.

These researchers have recently gained the capability to deploy swarms of plankton-mimicking, autonomous, drifting robots in the ocean. These robots, Autonomous Underwater Explorers (AUEs), are 1.5-liter cylinders with temperature and pressure sensors, a hydrophone, and a piston that regulates buoyancy. Subsurface three-dimensional localization is accomplished through an acoustic long-baseline navigation system. The three-dimensional position of each AUE is obtained every 12 seconds with ~1 m horizontal and <1 cm vertical accuracy with a range of ~5 km. This high spatial and temporal resolution represents a major advance over traditional neutrally buoyant floats. Swarms of 20 AUEs will be programmed with either depth-keeping or isotherm-following behaviors, and deployed in the internal tide on the shelf to quantify their transport, accumulation, and vertical movement over a tidal cycle. The swarms will move through a mooring array consisting of a vertically profiling Wirewalker, a thermistor chain, and two bottom-mounted Acoustic Doppler Current Profilers. Data from these deployments will be combined with process studies using a numerical model to test long-standing hypotheses concerning the effects of plankton behavior on transport and accumulation in internal waves and the internal tide. This research will increase the operational capacity of AUEs, advancing the state of the art in studying cross-shelf transport due to internal waves, and lead to new insights into the physical and biological interactions controlling larval transport across the shelf.