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Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
North Atlantic Observed Climatological Mean Absolute Geostrophic Velocity Profiles, Tiago Carrilho Biló
North Atlantic Observed Climatological Mean Absolute Geostrophic Velocity Profiles, Tiago Carrilho Biló
Supplementary Data and Tools
North Atlantic observed climatological mean absolute geostrophic velocity components in meters per second from near the surface (pressure = 2.5 dbar) to near ocean bottom (pressure = 5562.0 dbar). The absolute velocity fields in the upper 2000 dbar of the water column were obtained by referencing an ARGO based mean geostrophic shear with mean velocity estimates at 1000 dbar between 2004-2016. The shear was derived using the so-called Roemmich-Gilson Argo climatology (Roemmich & Gilson, 2009). The referencing procedure was conducted using Argo displacement data referred to as YoMaHa'07 (Lebedev et al., 2007). For regions deeper than 2000 dbar, the velocity …
Temporal And Spatial Scaling Of Dissipation Under Non-Breaking Surface Waves, Mingming Shao, Brian K. Haus, Darek Bogucki, Mohammad Barzegar
Temporal And Spatial Scaling Of Dissipation Under Non-Breaking Surface Waves, Mingming Shao, Brian K. Haus, Darek Bogucki, Mohammad Barzegar
Supplementary Data and Tools
This dataset is associated to the NSF OCE/Physical Oceanography funded project “Laboratory Investigation of Turbulence Generation by Surface Waves”. There are three papers in preparation that will refer to data contained within this archive. The overarching goal of this project was to address a significant knowledge gap regarding the turbulent dissipation of non-breaking surface waves. To accomplish this, a comprehensive study in the SUrge-STructure-Atmosphere-INteraction (SUSTAIN) wind-wave laboratory at the University of Miami was conducted. A combination of established measurement approaches (Particle Image Velocimetry (PIV) and Vertical Microstructure Profiler (VMP)) and new technologies (Optical Turbulence Sensor (OTS)) have been used carry …
Spray Concentration Measurements From Asist For Freshwater And Seawater, Sanchit Mehta, David G. Ortiz-Suslow, Andrew W. Smith, Brian K. Haus
Spray Concentration Measurements From Asist For Freshwater And Seawater, Sanchit Mehta, David G. Ortiz-Suslow, Andrew W. Smith, Brian K. Haus
Supplementary Data and Tools
The size-dependent vertical distribution of spume particles in high wind conditions is necessary to understand their effect on air-sea fluxes of heat and momentum. The predominant focus of previous studies of spray dynamics has been on the marine environment. Spray dynamics in non-seawater bodies have not been extensively studied, and any significant differences between sea and freshwater remain unquantified. To address this gap, we have conducted the first laboratory experiment directly comparing spume concentrations above fresh and real seawater for 10-m equivalent wind speeds of 36-54 m/s. Droplets in the air above the intensely breaking wind-waves were directly observed and …
Coastal Land-Air Sea Interaction: June 13th 2016 Rhib Momentum Flux Observations, David G. Ortiz-Suslow, Brian K. Haus, Neil J. Williams, Hans C. Graber, Jamie H. Macmahan
Coastal Land-Air Sea Interaction: June 13th 2016 Rhib Momentum Flux Observations, David G. Ortiz-Suslow, Brian K. Haus, Neil J. Williams, Hans C. Graber, Jamie H. Macmahan
Supplementary Data and Tools
The dataset collected here represents the processed and quality-controlled information used in the analysis and presentation of the manuscript, “Observations of Air-Sea Momentum Flux Variability across the Inner Shelf” by the authors listed above, which is published by AGU in the Journal of Geophysical Research-Oceans. Unless specifically noted in the data file’s header/metadata information or in this document, all of the data contained within this set was collected from instrumentation mounted aboard the rigid-hull inflatable boat (RHIB) deployed as part of the CLASI field study on the June 13, 2016. These measurements were made within Monterey Bay directly offshore of …
Quasi-Geostrophic, Two-Layer Model, Mykhailo Rudko
Quasi-Geostrophic, Two-Layer Model, Mykhailo Rudko
Supplementary Data and Tools
This is a finite-difference, two-layer, quasi-geosotrophic model. The governing equations are the conservation of potential vorticity in each layer with added viscous terms and forcing (Pedlosky, 1987). This model simulates the dynamics of mesoscale currents. The nonlinear term is discretized with Arakawa energy, enstrophy and symmetry conserving scheme. Doubly-periodic boundary conditions are applied. To compile, please, type "make all".
Subset Data From The Nauru 1999 And African Monsoon Multidisciplinary Analysis (Amma) 2006 Cruise And Matlab Code For Generating Plots For The Paper: Wong And Minnett (2017): The Response Of The Ocean Thermal Skin Layer To Variations In Incident Infrared Radiation., Elizabeth Wong
Supplementary Data and Tools
Data in this collection is largely comprised of subsetted data from two research cruises, the Nauru cruise held from June to July 1999 and the African Monsoon Multidisciplinary Analysis (AMMA) cruise held from May to July 2006. The data subset is limited to night conditions under low wind speeds of < 10 m/s and consists of the surface fluxes, radiance measurements from the Marine Atmospheric Emitted Radiance Interferometer (M-AERI), the retrievals of the skin sea surface temperatures and skin sea surface temperature profiles from the M-AERI's radiance spectral measurements. Also included are line-by-line-radiative transfer simulations provided by Dr. Goshka Szczodrak, transmission coefficient spectra obtained from the HITRAN database, and wind speed data from the Special Sensing Microwave Imager (SSM/I) version 6. provided by Dr. Chelle Gentemann. Matlab code is provided which reads the datafile (DATA.mat) and outputs the figures illustrated in the paper Wong and Minnett (2017) (https://doi.org/10.1002/2017JC013351).
Data From: Observing System Simulation Experiments For An Array Of Autonomous Biogeochemical Profiling Floats In The Southern Ocean, Igor Kamenkovich, Angelique Haza, Alison R. Gray, Carolina O. Dufour, Zulema Garraffo
Data From: Observing System Simulation Experiments For An Array Of Autonomous Biogeochemical Profiling Floats In The Southern Ocean, Igor Kamenkovich, Angelique Haza, Alison R. Gray, Carolina O. Dufour, Zulema Garraffo
Supplementary Data and Tools
Data in this collection is from Observation System Simulation Experiments (OSSEs) that were carried in support of the SOCCOM program. Synthetic profiles were extracted from model-simulated dissolved oxygen and inorganic carbon. Full maps were then reconstructed from these sparse datasets, using objective mapping. For description of the model and reconstruction method please see Kamenkovich, I., A. Haza, A. Gray, C. Dufour, and Z. Garraffo: "Observing System Simulation Experiments for an array of autonomous biogeochemical profiling floats in the Southern Ocean", Journal of Geophysical Research, DOI: 10.1002/2017JC012819