Observing Ocean Surface Waves with GPS-Tracked Buoys

2012 ◽  
Vol 29 (7) ◽  
pp. 944-959 ◽  
Author(s):  
T. H. C. Herbers ◽  
P. F. Jessen ◽  
T. T. Janssen ◽  
D. B. Colbert ◽  
J. H. MacMahan

Abstract Surface-following buoys are widely used to collect routine ocean wave measurements. While accelerometer and tilt sensors have been used for decades to measure the wave-induced buoy displacements, alternative global positioning system (GPS) sensor packages have been introduced recently that are generally smaller, less expensive, and do not require calibration. In this study, the capabilities of several GPS sensors are evaluated with field observations in wind-sea and swell conditions off the California coast. The GPS buoys used in this study include Datawell Directional Waverider and Mini Directional Waverider buoys equipped with a specialized GPS Doppler shift sensor, and a low-cost experimental drifter equipped with an “off the shelf” GPS receiver for absolute position tracking. Various GPS position receivers were attached to the Waverider buoys to evaluate their potential use in low-cost wave-resolving drifters. Intercomparisons between the Datawell GPS-based buoys, the experimental GPS drifter, and a conventional Datawell buoy with an accelerometer–tilt–compass sensor package, show good agreement in estimates of wave frequency and direction spectra. Despite the limited (several meters) absolute accuracy of the GPS position receivers, the horizontal wave orbital displacements are accurately resolved, even in benign (significant wave height less than 1 m) swell conditions. Vertical sea surface displacements were not well resolved by the GPS position receivers with built-in or small patch antennas, but accurately measured when an external precision antenna was attached to the drifter. Overall, the field tests show excellent agreement between Datawell buoys using GPS and motion-sensor packages, and demonstrate the feasibility of observing ocean surface waves with low-cost GPS-tracked drifters.

2021 ◽  
Author(s):  
Luke Bennetts ◽  
Mike Meylan ◽  
Balaje Kalyanaraman ◽  
Bishnu Lamichhane

<p>Seismic measurements show that ice shelves vibrate in response to ocean surface waves over a wide frequency range, from long swell to tsunami waves. The phenomenon of wave-induced ice-shelf vibrations has been linked to calving of large icebergs, rift propagation, icequake activity, and triggering of catastrophic disintegrations. I will present some recent advances in theoretical modelling of wave-induced ice-shelf vibrations, including coupling of the ice shelf/sub-shelf cavity to the open ocean, studying the influence of ice-shelf thickening and seabed shoaling towards the grounding line, simulating transient vibrations in response to incident wave packets, and incorporation of real ice-shelf and seabed geometries via the BEDMAP2 dataset. I will introduce the open-source software iceFEM, which contains many of the latest advances.<span> </span></p>


2014 ◽  
Author(s):  
James M. Kaihatu ◽  
Alexandru Sheremet ◽  
Jame M. Smith ◽  
Hendrik L. Tolman

2021 ◽  
Vol 8 ◽  
Author(s):  
Tzu-Yin Chang ◽  
Hongey Chen ◽  
Shih-Chun Hsiao ◽  
Han-Lun Wu ◽  
Wei-Bo Chen

The ocean surface waves during Super Typhoons Maria (2018), Lekima (2019), and Meranti (2016) were reproduced using hybrid typhoon winds and a fully coupled wave-tide-circulation modeling system (SCHISM-WWM-III). The hindcasted significant wave heights are in good agreement with the along-track significant wave heights measured by the altimeters aboard the SARAL (Satellite with ARgos and ALtiKa) and Jason-2 satellites. Two numerical experiments pairing Super Typhoons Maria (2018) and Meranti (2016) and Super Typhoons Lekima (2019) and Meranti (2016) were conducted to analyze the storm wave characteristics of binary and individual typhoons. Four points located near the tracks of the three super typhoons were selected to elucidate the effects of binary typhoons on ocean surface waves. The comparisons indicate that binary typhoons not only cause an increase in the significant wave height simulations at four selected pints but also result in increases in the one-dimensional wave energy and two-dimensional directional wave spectra. Our results also reveal that the effects of binary typhoons on ocean surface waves are more significant at the periphery of the typhoon than near the center of the typhoon. The interactions between waves generated by Super Typhoons Maria (2018) and Meranti (2016) or Super Typhoons Lekima (2019) and Meranti (2016) might be diminished by Taiwan Island even if the separation distance between two typhoons is <700 km.


2019 ◽  
Vol 46 (3) ◽  
pp. 1731-1739
Author(s):  
Mikhail Dobrynin ◽  
Tobias Kleine ◽  
André Düsterhus ◽  
Johanna Baehr

2018 ◽  
Author(s):  
Pedro Veras Guimarães ◽  
Fabrice Ardhuin ◽  
Peter Sutherland ◽  
Mickael Accensi ◽  
Michel Hamon ◽  
...  

Abstract. Global Navigation Satellite Systems (GNSS) and modern motion-sensor packages allow the measurement of ocean surface waves with low-cost drifters. Drifting along or across current gradients provides unique measurements of wave-current interactions. In this study, we investigate the response of several combinations of GNSS receiver, motion-sensor package and hull design in order to define a prototype surface kinematic buoy (SKIB) that is particularly optimized for measuring wave-current interactions, including relatively short wave components (relative frequency around 1 Hz) that are important for air-sea interactions and remote sensing applications. The comparison with existing Datawell Directional Waverider and SWIFT buoys, as well as stereo-video imagery demonstrates the accuracy of SKIB. The use of low-cost accelerometers and a spherical ribbed and skirted hull design provide acceptable heave spectra, while velocity estimates from GNSS receivers yield a mean direction and directional spread. Using a low-power acquisition board allows autonomous deployments over several months with data transmitted by satellite. The capability to measure current-induced wave variations is illustrated with data acquired in a macro-tidal coastal environment.


2018 ◽  
Vol 129 ◽  
pp. 58-74 ◽  
Author(s):  
Andrew G. Marshall ◽  
Mark A. Hemer ◽  
Harry H. Hendon ◽  
Kathleen L. McInnes

Sign in / Sign up

Export Citation Format

Share Document