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Data from: Observations of Surface Gravity Wave Spectra from Moving Platforms

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Data from: Observations of Surface Gravity Wave Spectra from Moving Platforms

About this collection

Extent

1 digital object.

Cite This Work

Colosi, Luke; Pizzo, Nick; Grare, Laurent; Statom, Nick; Lenain, Luc (2023). Data from: Observations of Surface Gravity Wave Spectra from Moving Platforms. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0C829GC

Description

Instrumented Boeing Liquid Robotics SV3 Wave Gliders collect ocean and atmospheric observations at the air-sea interface that span broad spatio-temporal scales in remote areas over long-duration deployments. This collection has wind and wave observations taken during two field campaigns: DELMAR2020 and SMODE2021. For DELMAR2020, observations from two Wave Gliders referred to as "Planck" and "Stokes" were collected off the coast of Del Mar, California during a 3-day deployment from 9 to 11 September 2020. For SMODE2021, observations from one Wave Glider referred to as "WHOI43", were taken off the coast of San Francisco, California from 29 October to 4 November 2021. The collection consists of .mat files with all data necessary to reproduce the figures in Colosi et al. (2023). The source code for generating figures is available in the following GitHub repository: https://github.com/lcolosi/WaveSpectrum and on Zenodo: https://doi.org/10.5281/zenodo.8122034. For a detailed description of the file structure and each file's contents, refer to the Readme file.

Date Collected
  • 2020-09-01 to 2021-11-04
Date Issued
  • 2023
Author
Advisors
Thesis Advisor
Contributor
Funding

This work was supported by the Office of Naval Research (Grant N00014-19-1-2635) and the National Aeronautics and Space Administration (Grant 80NSSC19K1688).

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Language
  • English
Identifier

Identifier: Laurent Grare: https://orcid.org/0000-0002-3505-571X

Identifier: Luc Lenain: https://orcid.org/0000-0001-9808-1563

Identifier: Luke V. Colosi: https://orcid.org/0000-0002-0571-4358

Identifier: Nicholas Pizzo: https://orcid.org/0000-0001-9570-4200

Related Resources

    Primary associated publication

    • Colosi, L., Pizzo, N., Grare, L., Statom, N., & Lenain, L. (2023). Observations of Surface Gravity Wave Spectra from Moving Platforms. Journal of Atmospheric and Oceanic Technology, 40(10), 1153-1169. https://doi.org/10.1175/JTECH-D-23-0022.1

    Source data

    • Amante, C. and B.W. Eakins, 2009. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24 (File name: etopo1.nc). National Geophysical Data Center, NOAA. Accessed 2019-08-01. https://doi.org/10.7289/V5C8276M

    • Coastal Data Information Program (CDIP). Southern California Coastal Ocean Observing System Bathymetry - Northern San Diego CA (Filename: /bathy/sdNorth.xyz). Accessed 2017. https://cdip.ucsd.edu/share/bathy.tgz

    • NOAA National Geophysical Data Center. 2003: U.S. Coastal Relief Model Vol.7 - Central Pacific. NOAA National Centers for Environmental Information ("Access" tab, "Download Data" section, "Download NetCDF File (download):" crm_vol7.nc). Accessed 2020-04-20. https://doi.org/10.7289/V50Z7152

    • NOAA National Geophysical Data Center. 2009: ETOPO1 1 Arc-Minute Global Relief Model (File name: etopo1.nc). NOAA National Centers for Environmental Information. Accessed 2019-08-01. https://www.ncei.noaa.gov/products/etopo-global-relief-model

    • NOAA National Geophysical Data Center. NOAA National Geophysical Data Center. 2003: U.S. Coastal Relief Model Vol.6 - Southern California ("Access" tab, "Download Data" section, "Download NetCDF File (download):" crm_vol6.nc). NOAA National Centers for Environmental Information. Accessed 2020-04-20. https://doi.org/10.7289/V500001J

    Software

    Referenced by

    Collection image

    • Image source: Nicholas Statom. "An instrumented SV3 Wave Glider from the Air-Sea Interaction Lab at SIO gliding across the sea surface."

Data from: Observations of Surface Gravity Wave Spectra from Moving Platforms
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