Applied Physics Laboratory Data and Papers
Permanent URI for this collectionhttps://digital.lib.washington.edu/handle/1773/15609
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Item type: Item , Acoustic Doppler Current Profiler (ADCP) data from Washiongton State Ferries(2025-07-27) Thomson, J. and de Klerk, A.Acoustic Doppler Current Profiler data collected onboard Washington State Ferry vessels in Admiralty Inlet. Archived in Long Term Average (LTA) files using instrument manufacturer (RDI) format.Item type: Item , SWIFT wave buoy data during DigiFloat offshore wind project(2025) Thomson, JimItem type: Item , Collaborative Research: Lee Waves and Turbulence Forced by the Kuroshio(2025-03-11) Lien, Ren-ChiehEnergetic submeso-scale internal waves and vortices are generated as the Kuroshio current interacts with the subsurface seamount, Hirase, in Tokara Strait south of Japan. Enhanced turbulent mixing had been reported in the wake of Hirase. This project aims to understand the energy cascade from Kuroshio to turbulence mixing via submeso- and small-scale processes. Strong turbulence mixing was observed at least 20 km downstream of the seamount, presumably sustained by the combination of submesoscale symmetric instability and inertial wave breaking at the critical layer.Item type: Item , Data from Coastal Fronts project at Waldron Island (WA, USA) in summer 2022(2025-01-28) Thomson, Jim; Fisher, AlexSWIFT buoy observations of ocean currents, temperature, salinity, and turbulence in the coastal waters near Waldron Island, WA (USA).Item type: Item , CTD data for Isopycnal spectra and stirring - part 2(2024-09-04) Lien, Ren-Chieh; Kunze, EricItem type: Item , Shipboard ADCP 300 kHz data for Isopycnal spectra and stirring(2024-09-04) Lien, Ren-Chieh; Kunze, EricItem type: Item , CTD data for Isopycnal spectra and stirring - part 1(2024-09-04) Lien, Ren-Chieh; Kunze, EricItem type: Item , Shipboard ADCP 75kHz data for 'Isopycnal Spectra and Stirring on the Submesoscale and Finescale in the Upper Ocean'(2024-09-04) Lien, Ren-Chieh; Kunze, EricItem type: Item , Data supporting the article "Energy partition between submesoscale internal waves and quasi-geostrophic vortical motion in the pycnocline"(2024-02) Vladoiu, Anda; Lien, Ren-Chieh; Kunze, EricItem type: Item , Data related to "Surface wave development and ambient sound in the ocean"(2024) Thomson, JimDataset associated with submitted article "Surface wave development and ambient sound in the ocean"Item type: Item , Microstructure Sensing from Autonomous Platforms(Office of Naval Research, 2023-10)Over the last two decades, autonomous sensing of ocean turbulence has progressed from a niche endeavor to one where commercial off-the-shelf hardware is available broadly to the community. This advancement has opened new sampling possibilities, for example, direct observation of turbulence in tropical cyclones, extended observational records much longer than those afforded by ship-based programs, and co-location of multiple platforms for statistical assessment of the natural variation in mixing. The reality of real-time data delivery of turbulence quantities has also introduced challenges for onboard processing, data compression, and quality control of quantities that naturally vary by many magnitudes within short temporal and spatial scales. Developments within autonomous sensing of ocean turbulence continue through advances in software design for efficient and accurate data delivery and hardware design of multiple form factors and sensor combinations. In May 2022, a small group of US scientists convened a two-day workshop focused on “Microstructure Sensing from Autonomous Platforms” in Lake Arrowhead, California. Workshop attendees were sponsored by ONR for engineering development in this topic area, and, in the spirit of past ONR workshops, the participants shared results and discussed recent innovations. Conversations ranged from a historical perspective of ocean turbulence measurement, to new hardware integration of turbulence sensors with autonomous platforms, to algorithms for onboard processing and real-time data delivery. Participants were tasked with developing short synopses of their presentations—nominally three pages and a few figures—for wider distribution.Item type: Item , Data Accompanying "Sea ice leads increase ice and ocean inertial oscillation strength during an Arctic winter storm" by Crews et al.(2023-09-21) Crews, Laura; Lee, Craig M.; Rainville, Luc; Samuel, BrennerThis repository contains the data products used in "Sea ice leads increase ice and ocean inertial oscillation strength during an Arctic winter storm", by Crews et al. These data were collected as part of the Stratified Ocean Dynamics of the Arctic (SODA) project; more information about the project can be found at apl.uw.edu/sodaItem type: Item , Data Accompanying "Acoustic Sensing of Ocean Mixed Layer Depth and Temperature from Uplooking ADCPs", by Brenner et al., 2022.(2022) Brenner, Samuel; Thomson, Jim; Rainville, Luc; Torres, Daniel; Doble, Martin; Wilkinson, Jeremy; Lee, CraigThis document describes the contents of this repository which contains the data products used in "Acoustic Sensing of Ocean Mixed Layer Depth and Temperature from Uplooking ADCPs", by Brenner et al., (2022). These data were collected as part of the Stratified Ocean Dynamics of the Arctic (SODA) project; more information about the project can be found at apl.uw.edu/sodaItem type: Item , Data to accompany the article "Seasonal Variability of Near-Inertial/Semidiurnal Fluctuations and Turbulence in the Sub-Arctic North Atlantic"(2022-12-09) Kunze, Eric; Lien, Ren-Chieh; Whalen, Caitlin B.; Girton, James B.; Ma, Barry; Buijsman, Maarten C.This archive contains the profile data from EM-APEX floats launched in the June 2019 NISKINE (Near-inertial Shear and Kinetic Energy in the North Atlantic experiment, a Departmental Research Initiative of the Office of Naval Research's Physical Oceanography program) cruise on the R/V Neil Armstrong. These data were used for the analysis of subsurface shear and mixing presented in the above-mentioned Journal of Physical Oceanography paper by Eric Kunze, Ren-Chieh Lien, Caitlin B. Whalen, James B. Girton, Barry Ma, and Maarten C. Buijsman.Item type: Item , Data collected in Drake Passage by a Wave Glider autonomous surface vehicle under NSF grant OPP-1853291 and State Department application F2019-070(2022-10-04) Girton, James BThis archive contains data files and descriptive materials connected with a Southern Ocean field experiment conducted from Oct 2019 through Feb 2020 using a Wave Glider autonomous surface vehicle deployed and recovered from US Antarctic Program cruises LMG 19-09 and LMG 20-20. The Wave Glider (SV3-153) conducted an open-ocean survey of the Polar Front and a coastal survey of the shelf break front west of the Antarctic Peninsula, measuring upper ocean, lower atmosphere, and surface wave properties. The .zip file includes data files (.mat), a text (.txt) description of the files and variables, and a report and poster (.pdf) describing the dataset and results.Item type: Item , Data supporting "Energetic stratified turbulence generated by Kuroshio-seamount interactions in Tokara Strait"(2022-10-03) Takahashi, AnneItem type: Item , Data Accompanying "Damping of inertial motions through the radiation of near-inertial waves in a dipole vortex in the Iceland Basin", by Leif Thomas et al., submitted to GRL(2022-09-24) Thomas, Leif; Skyllingstad, Eric; Rainville, Luc; Hormann, Verena; Centurioni, Luca; Moum, Jim; Asselin, Olivier; Lee, CraigThis archive includes the data used to produced the results shown in the associated article. That data was collected during the 2019 process cruise of the Near-Inertial Shear and Kinetic Energy in the North Atlantic experiment (NISKINe), funded by ONR.Item type: Item , Data supporting "Storm-driven near-inertial waves and mixing"(2022) Essink, SebastianNear-inertial waves are one of three major sources of deep-ocean mixing. Little is known about their energy pathways beyond their wind generation and that only 15-25% of the wind-forced near-inertial wave energy radiates equatorward as low modes. They contain half the kinetic energy and most of the vertical shear in the ocean. O(1 TW) inertial wind power is injected by a few dozen mid- latitude fall and winter storms. While numerical and observational evidence points to the bulk of the inertial wind power being lost in the near-field of storm forcing, dissipating and mixing immediately below the surface layer, there has been little observational work to investigate this major piece of the inertial energy budget in detail. As well as determining the fate of wind-forced near-inertial waves, the proposed work will quantify the climatologically-important depth dependence of turbulent mixing in the pycnocline.Item type: Item , Data for: Laboratory Heat Flux Estimates of Seawater Foam for Low Wind Speeds(2022-04-14)This dateset is a companion to the paper "Laboratory Heat Flux Estimates of Seawater Foam for Low Wind Speeds" by Chickadel and co-authors. The data contains heat flux and thermal signature data for all of the analysis plots in the paper.Item type: Item , Data and software to accompany "Multiplatform Characterization of Currents in Agate Pass, WA"(2022) Harrison, Trevor William; Thomson, Jim; Clemett, Nate; Polagye, BrianThis archive includes the datasets and software used in the creation of the manuscript: Multiplatform Characterization of Currents in Agate Pass, WA. In the paper, we evaluate the ability of a new float technology, the $\mu$Floats, to map, in three-dimensions, tidal currents in the energetic flows of Agate Pass, WA, a tidal channel in Puget Sound. Measurements from the floats swarm are compared against simultaneously-gathered station-keeping and drifting ADCP observations. Results demonstrate excellent agreement between the platforms -- within $\sim 10\%$ of the mean current speed -- throughout the tidal cycle.
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