Library Digital Collections
Library Digital Collections

Atmospheric and oceanographic measurements from a Wave Glider autonomous surface vehicle collected off the coast of Southern California from May 2020 to December 2021

Component

Readme

File Size
  • 4.88 KB
File Format
  • Plain text
Download file View file Download file

Meteorological measurements from Wave Glider and Tanner Bank buoy

File Size
  • 64.7 KB
File Format
  • GZIP Format
Scope And Content

The files TB_253_Bdfbar_from_raw.csv and TB_253_WXTdfbar_from_raw.csv respectively contain the Tanner Bank buoy and the Wave Glider meteorological data.

Technical Details

The Wave Glider meteorological measurements were collected using the CORDC-fabricated environmental sensing suite, which features a Vaisala WXT520 weather sensor mounted on a vertical mast on the Wave Glider float. The Wave Glider measurements of atmospheric pressure, air temperature, and bulk winds were made at 1.2 m above the sea surface. Vehicle-based, burst-averaged wind measurements were motion-compensated and adjusted to a 10-m reference height, assuming a logarithmic wind profile using drag coefficient (CD) values from Large and Pond (1981).

The Tanner Bank buoy is instrumented with a Gill MetPak meteorological sensor that measures air temperature, pressure, humidity, wind speed and direction. Air pressure and temperature are measured at 2.4 m and 3.4 m above mean sea level, respectively. Wind speed and direction are measured using a 4-blade, impeller-driven, wind-vane sensor located 3.8 m above mean sea level.

Download file View file Download file

Wave measurements from the Wave Glider

File Size
  • 64.6 MB
File Format
  • GZIP Format
Scope And Content

This resource includes files in the following formats: NetCDF4 and MATLAB 7.3 MAT-file

The waves folder subdirectories are labeled for each evaluation period according to the dataset ID (see Amador et al., 2022). Dataset ID labels are based on the CDIP station identifier used to evaluate the Wave Glider measurements. The .mat (MATLAB 7.3 MAT-file) files contain raw velocity measurements. The .nc (NetCDF4) files contain processed spectral and bulk wave parameter data.

Technical Details

The Wave Glider wave measurements were collected with the CORDC-fabricated directional wave sensor. The system uses Doppler shift-derived GPS velocity signals (∼5 cm/s accuracy) to determine the Wave Glider float's motions. The wave sensors were configured to sample at 2 Hz. Raw data samples were collected using N=1024 bursts and processed onboard.

Download file View file Download file

Current data from the Wave Glider ADCP

File Size
  • 3.2 GB
File Format
  • GZIP Format
Scope And Content

Contains raw binary RDI Workhorse ADCP data.

The currents folder subdirectories contain raw binary ADCP data (.PD0) from the Wave Glider for each evaluation period (e.g., fall2021, spring2021, summer2021). These data can be read into [Matlab] (https://www.eoas.ubc.ca/~rich/#RDADCP) or [Python](https://stompy.readthedocs.io/en/latest/_modules/stompy/io/rdradcp.html) using the rdradcp function developed by Rich Pawlowicz.

Technical Details

Water velocity profiles were collected using a downward looking 300 kHz Teledyne RDI Workhorse Monitor ADCP, installed in the aft payload bay of the Wave Glider float. ADCPs were configured to sample continuously at 1 Hz using 2-m bins and a blanking distance of 1.8 m, reliably measuring current profiles down to a depth of approximately 80 m.

Download file View file Download file
Collection
Cite This Work

Amador, Andre; Merrifield, Sophia T.; Terrill, Eric J. (2022). Atmospheric and oceanographic measurements from a Wave Glider autonomous surface vehicle collected off the coast of Southern California from May 2020 to December 2021. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0P26Z97

Description

This collection contains meteorology, wave, and current data from Wave Glider Autonomous Surface Vehicles (ASVs) gathered in a series of field deployments conducted off the coast of Southern California from May 2020 to December 2021. Our approach involved operations in close proximity to fixed National Data Buoy Center (NDBC), Coastal Data Information Program (CDIP), and Scripps Institution of Oceanography (SIO) moored buoy assets, which provided ground-truth data to characterize the quality of the Wave Glider measurements over a range of field conditions. Please refer to Amador et al., 2022 (in review) for more information on processing and motion compensation routines.

Date Collected
  • 2020-05 to 2021-12
Date Issued
  • 2022
Author
Co Principal Investigators
Technical Details

Meteorological measurements of wind speed and direction, atmospheric pressure, and air temperature were collected using the Coastal Observing Research and Development Center (CORDC)-fabricated environmental sensing suite, which featured a Vaisala WXT520 weather sensor mounted on a 1.2 m vertical mast on the Wave Glider float. Wave spectra and bulk wave parameters were computed from GPS Doppler velocity signals. Water velocity data were collected with a downward looking 300 kHz Teledyne RDI Workhorse Monitor ADCP, installed in the aft payload bay of the Wave Glider float.

Funding

This work was funded by the National Oceanic and Atmospheric Agency via award OMAO-HQ-2020-0005-0 and by the Office of Naval Research via awards N00014-21-1-2824 and N00014-21-1-4014.

Geographic
Topics
Cartographics

Polygon: 33.280,-120.070 33.280,-117.219 32.280000,-117.219 32.280000,-120.070 33.280,-120.070

Formats

View formats within this collection

Language
  • English
Identifier

Identifier: Andre Amador: https://orcid.org/0000-0003-0476-4019

Identifier: Eric J. Terrill: https://orcid.org/0000-0003-1807-8351

Identifier: Sophia T. Merrifield: https://orcid.org/0000-0002-4152-7285

Related Resources
License

Creative Commons Attribution 4.0 International Public License

Rights Holder
  • UC Regents
Copyright

Under copyright (US)

Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.

Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.

Digital Object Made Available By

Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)

Last Modified

2022-12-14