Measurements of Directional Wave Spectra and Wind Stress from a Wave Glider Autonomous Surface Vehicle
Authors:
- 1 February 2018
- journal article
- research article
- Published by American Meteorological Society in Journal of Atmospheric and Oceanic Technology
- Vol. 35 (2) , 347-363
Abstract
Methods for measuring waves and winds from a Wave Glider autonomous surface vehicle (ASV) are described and evaluated. The wave method utilizes the frequency spectra of orbital velocities measured by GPS, and the wind stress method utilizes the frequency spectra of turbulent wind fluctuations measured by an ultrasonic anemometer. Both methods evaluate contaminations from vehicle motion. The methods were evaluated with 68 days of data over a full range of open ocean conditions, in which wave heights varied from 1 to 8 m and wind speeds varied from 1 to 17 m s−1. Reference data were collected using additional sensors on board the vehicle. For the waves method, several additional datasets are included that use independently moored Datawell Waverider buoys as reference data. Bulk wave parameters are determined within 5% error with biases of less than 5%. Wind stress is determined within 4% error with 1% bias. Wave directional spectra also compare well, although the Wave Glider results have more spread at low frequencies.Keywords
Funding Information
- US National Science Foundation (PLR1558448)
- Liquid Robotics, Inc
This publication has 32 references indexed in Scilit:
- Doppler Correction of Wave Frequency Spectra Measured by Underway VesselsJournal of Atmospheric and Oceanic Technology, 2017
- Spatial characteristics of ocean surface wavesOcean Dynamics, 2016
- Lagrangian Surface Wave Motion and Stokes Drift FluctuationsJournal of Physical Oceanography, 2016
- Wave Boundary Layer Turbulence over Surface Waves in a Strongly Forced ConditionJournal of Physical Oceanography, 2015
- Wave-Coherent Airflow and Critical Layers over Ocean WavesJournal of Physical Oceanography, 2013
- On the Exchange of Momentum over the Open OceanJournal of Physical Oceanography, 2013
- A Comparison of Methods for Determining Significant Wave Heights—Applied to a 3-m Discus Buoy during Hurricane KatrinaJournal of Atmospheric and Oceanic Technology, 2010
- Bulk Parameterization of Air–Sea Fluxes: Updates and Verification for the COARE AlgorithmJournal of Climate, 2003
- Direct Covariance Flux Estimates from Mobile Platforms at Sea*Journal of Atmospheric and Oceanic Technology, 1998
- A study of the inertial‐dissipation method for computing air‐sea fluxesJournal of Geophysical Research: Oceans, 1991