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77 results for “ocean currents”
The Agulhas Current transports signals of local and remote Indian Ocean nitrogen cycling
<p>All hydrographic and biogeochemical data from the ASCA16, IIEO2, SWINGS and ASCA summer 2018 cruises published in the journal article, "The Agulhas Current transports signals of local and remote Indian Ocean nitrogen cycling" (Marshall, et al., 2023).</p>
Data from: Isopycnal mixing suppression by the Antarctic Circumpolar Current and the Southern Ocean Meridional Overturning Circulation
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Ocean current, temperature, salinity and turbulence collected from the R/V Walton Smith, R/V Pelican, and R/V Pt. Sur during two summer seasons of intensive field campaigns in the Coastal Waters of Gulf of Mexico and the Gulf of Mexico from 20210620 to 20220707
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CNR global observation-based OMEGA3D quasi-geostrophic vertical and horizontal ocean currents (1993-2018): validation subset.
<p>A subset of the Global Ocean Multi Observations OMEGA3D product is provided here for comparison with independent in situ observations and model data. OMEGA3D product has been developed by the Consiglio Nazionale delle Ricerche in the framework of the Copernicus Monitoring Environment Marine Service (https://doi.org/10.25423/cmcc/multiobs_glo_phy_w_rep_015_007). It consists of 26 year of 3D quasi-geostrophic vertical and horizontal ocean currents (January 1993-December 2018) provided over a regular grid at 1/4° horizontal resolution, with 75 non-uniformly spaced vertical levels between the surface and 1500 m depth. The subset provided here includes horizontal velocities at 15 m and 1000 m depths (that can be used for validation with independent velocity estimates from SVP drifters and Argo floats displacements, respectively) and vertical velocities at 100 m depth (for comparison with model re-analyses). OMEGA3D product is delivered with a weekly sampling (representative of each Wednesday). The velocities are obtained by solving a Q-vector formulation of the Omega equation that explicitly considers the effect of both geostrophic advection and upper layer turbulent mixing as described by KPP parameterization. Omega forcings are estimated from the CMEMS observation-based ARMOR3D temperature and salinity multi-year data and ERA-Interim surface fluxes. </p>
Data from: Seabird diversity hotspot linked to ocean productivity in the Canary Current Large Marine Ecosystem
Upwelling regions are highly productive habitats targeted by wide-ranging marine predators and industrial fisheries. In this study, we track the migratory movements of eight seabird species from across the Atlantic; quantify overlap with the Canary Current Large Marine Ecosystem (CCLME) and determine the habitat characteristics that drive this association. Our results indicate the CCLME is a biodiversity hotspot for migratory seabirds; all tracked species and more than 70% of individuals used this upwelling region. Relative species richness peaked in areas where sea surface temperature averaged between 15 and 20°C, and correlated positively with chlorophyll a, revealing the optimum conditions driving bottom-up trophic effects for seabirds. Marine vertebrates are not confined by international boundaries, making conservation challenging. However, by linking diversity to ocean productivity, our research reveals the significance of the CCLME for seabird populations from across the Atlantic, making it a priority for conservation action.
Data from: Population genetic structure and connectivity of the seagrass Thalassia hemprichii in the Western Indian Ocean is influenced by predominant ocean currents
This study is the first large-scale genetic population study of a widespread climax species of seagrass, Thalassia hemprichii, in the Western Indian Ocean (WIO). The aim was to understand genetic population structure and connectivity of T. hemprichii in relation to hydrodynamic features. We genotyped 205 individual seagrass shoots from 11 sites across the WIO, spanning over a distance of ~2,700 km, with twelve microsatellite markers. We assessed clonality and visualized genetic diversity and genetic population differentiation. We used Bayesian clustering approaches (TESS) to trace spatial ancestry of populations and used directional migration rates (DivMigrate) to identify sources of gene flow. We identified four genetically differentiated groups; (1) samples from the Zanzibar channel, (2) Mozambique, (3) Madagascar, and (4) the east coast of Zanzibar and Kenya. Significant pairwise population genetic differentiation was found among many sites. Isolation by distance was detected for the estimated magnitude of divergence (DEST), but the three predominant ocean current systems (i.e. East African Coastal Current, North East Madagascar Current and the South Equatorial Current) also determine genetic connectivity and genetic structure. Directional migration rates indicate that Madagascar acts as an important source population. Overall clonality was moderate to high with large differences among sampling sites, indicating relatively low, but spatially variable sexual reproduction rates. The strongest genetic break was identified for three sites in the Zanzibar channel. Although isolation by distance is present, this study suggests that the three regionally predominant ocean current systems (i.e. East African Coastal Current, North East Madagascar Current and the South Equatorial Current) rather than distance determine genetic connectivity and structure of T. hemprichii in the WIO. If the goal is to maintain genetic connectivity of T. hemprichii within the WIO, conservation planning and implementation of marine protection should be considered at the regional scale – across national boarders.
Data from: Ocean currents, individual movements and genetic structuring of populations
Ocean currents profoundly impact all life in the oceans and over a broad size spectra species may show both horizontal and vertical movements to stay on preferred locations. As a corollary it might be expected that individuals in preferred oceanic habitats may simply drift with flows. We explored these scenarios by both satellite tracking young pelagic loggerhead turtles and examining the genetic structuring of individuals on coastal foraging areas across the Mediterranean in relation to ocean flows measured both with Lagrangian drifters and a numerical ocean circulation model for the area. Both patterns of movement (n = 18 turtles ranging in size from 41.2 to 68.5 cm CCL tracked for up to 460 days) and genetic structuring (n = 165 individuals from six sites across the ocean basin) suggested that ocean flows profoundly impact the movements of immature turtles and suggest a pattern of largely passive drift within an ocean basin that, throughout, is broadly favourable for developing loggerhead turtles. The situation contrasts with more heterogeneous habitats in the Atlantic and Pacific, where larger amounts of directional swimming may be required to avoid sub-optimum areas.
Data from: Towards an integrated database on Canadian ocean resources: benefits, current states, and research gaps
Oceanic ecosystem services support a range of human benefits, and Canada has extensive research networks producing growing data sets. We present a first effort to compile, link, and harmonize available information to provide new perspectives on the status of Canadian ocean ecosystems and corresponding research. The metadata database currently includes 1094 individual assessments and data sets from government (n = 716), nongovernment (n = 320), and academic sources (n = 58), comprising research on marine species, natural drivers and resources, human activities, ecosystem services, and governance, with data sets spanning 1979–2012 on average. Overall, research shows a strong prevalence towards single-species fishery studies, with an underrepresentation of economic and social aspects, and of the Arctic region in general. Nevertheless, the number of studies that are multispecies or ecosystem-based have increased since the 1960s. We present and discuss two illustrative case studies — marine protected area establishment in Canada and herring resource use by the Heiltsuk First Nation — highlighting the potential use of multidisciplinary data sets drawn from metadata records. Identifying knowledge gaps is key to achieving the comprehensive, accessible and interdisciplinary data sets and subsequent analyses necessary for new sustainability policies that meet both ecological and socioeconomic needs.
Sub-Mesoscale Ocean Dynamics Experiment: Surface currents and Sea Surface Temperature
<p>Airborne observations of surface currents from Doppler Scatterometer and sea surface temperature from infrared camera.</p> <p><span>This data set is derived from the S-MODE project <span> </span><span><a title="https://urldefense.us/v3/__https:/github.com/podaac/2022-SMODE-Open-Data-Workshop__;!!PvBDto6Hs4WbVuu7!KGw6WDLV5oVZZv5MSJfZzLeZUUOOanKvBtRTARLrqCGRTLJl1FNP0nby2uQNCVA7GcoulOIL0eeT0ifzTu9iHii22cisZMe8$" href="https://urldefense.us/v3/__https:/github.com/podaac/2022-SMODE-Open-Data-Workshop__;!!PvBDto6Hs4WbVuu7!KGw6WDLV5oVZZv5MSJfZzLeZUUOOanKvBtRTARLrqCGRTLJl1FNP0nby2uQNCVA7GcoulOIL0eeT0ifzTu9iHii22cisZMe8$">https://github.com/podaac/2022-SMODE-Open-Data-Workshop</a></span>.<br></span></p> <p> </p> <p>Description of the data:</p> <p>DopplerScatt surface current spatial resolution of 200 m</p> <p>MOSES SST nominal spatial resolution of 10 m, but interpolated to DopplerScatt grid at 200 m resolution.</p> <p>Description of the name: SMODE_DScatt_and_MOSES_20221023_120546_ver_L2E_Smoothing_1km_Submesoscale_Frontogenesis.nc</p> <p>Date = 20221023_120546 (YYYY/mm/dd HH:MM:SS)</p> <p>Level of smoothing = 1 kilometer</p> <p>Submesoscale_Frontogenesis = The variables included in the file are necessary to compute frontogenesis</p> <p> </p> <p>Variables:</p> <p>SST_moses = sea surface temperature</p> <p>U_hp = high-pass east-west velocity component</p> <p>V_hp = high-pass north-south velocity component</p> <p>Tx = SST gradients in east-west direction</p> <p>Ty = SST gradients in north-south direction</p> <p>U_hp_(rot,div) = high-pass east-west velocity component rotational and divergent component</p> <p>V_hp_(rot,div) = high-pass north-south velocity component rotational and divergent component</p> <p>Fs_rot = Frontogenetic tendency due to the rotational component of the velocity field</p> <p>Fs_div = Frontogenetic tendency due to the divergent component of the velocity field</p> <p>Fs_tot = Frontogenetic tendency</p> <p>Strain_rot = Strain deformation due to the rotational component of the velocity field smoothed at 1 km</p> <p>Strain_div = Strain deformation due to the divergent component of the velocity field smoothed at 1 km</p> <p>rv_lp = relative vorticity smoothed at 1 km</p> <p>dv_lp = divergence smoothed at 1 km</p> <p>Strain_lp = strain deformation smoothed at 1 km</p> <p>Strain_normal = normal strain deformation smoothed at 1 km</p> <p>Strain_shear = shear component of the strain deformation smoothed at 1 km</p> <p> </p> <p> </p>
Distribution. Endemic to N Pacific Ocean, the majority ofrecords come from W North America from 32° 42° N to 54° 18' N, also recorded on the Pacific coast ofJapan from 35% to 41° 42° N. This suggests that distribution of this species spans the N Pacific Ocean, but with no records from the C Pacific Ocean, it remains possible that there are separate E and W populations. It has been suggested that distribution of this species is related to the deep current system of the subarctic. in Ziphiidae
Distribution. Endemic to N Pacific Ocean, the majority ofrecords come from W North America from 32° 42° N to 54° 18' N, also recorded on the Pacific coast ofJapan from 35% to 41° 42° N. This suggests that distribution of this species spans the N Pacific Ocean, but with no records from the C Pacific Ocean, it remains possible that there are separate E and W populations. It has been suggested that distribution of this species is related to the deep current system of the subarctic.
Acoustic Mid-Ocean Dynamics Experiment (AMODE), 1991, North Atlantic: High-frequency Barotropic Currents
<p>A netcdf data file of high-frequency (> 1 cpd) barotropic currents in the western North Atlantic derived from ocean acoustic tomography data collected during the Acoustic Mid-Ocean Dynamics Experiment (AMODE) in 1991. AMODE consisted of a pentagonal array of six moored instruments deployed between Puerto Rico and Bermuda. These are barotropic currents averaged over paths several hundred kilometers long. As documented in:</p> <p>Dushaw, B. D., Egbert, G. D., Worcester, P. F., Cornuelle, B. D., Howe, B. M., & Metzger, K. (1997). A TOPEX/POSEIDON global tidal model (TPXO.2) and barotropic tidal currents determined from long-range acoustic transmissions. Prog. Oceanogr., 40 , 337–367. doi: 10.1016/S0079-6611(98)00008-1</p> <p>these data can be used to derive accurate estimate for barotropic tidal currents in the open ocean. The file includes 15 time series of 100 to 300 day record length. See also:</p> <p>Stammer, D., & Coauthors. (2014). Accuracy assessment of global barotropic ocean tide models. Rev. Geophys., 52 , 243–282. doi: 10.1002/2014RG000450</p> <p>which compares tidal current harmonic constants derived from these data to those derived from several global tidal models. The purpose of this upload is to allow others to estimate tides from these data to test other tidal models. Other than a simple high-pass filter, the time series is unfiltered, but the barotropic tides account for 80-90% of the variance.</p>
MITgcm model setup and output for "Antarctic Slope Current modulates ocean heat intrusions towards Totten Glacier"
<p>MITgcm model setup and output for "Antarctic Slope Current modulates ocean heat intrusions towards Totten Glacier</p> <p>Here, it contains the results of the East Antarctic simulation from 1992-2016. Model grid is lat-lon similar to LLC1080 grid resolution roughly 3-4 km in the region. See Nakayama et al., submitted to GRL for detail. </p> <p><strong>(Contents)</strong><br> code.zip (code to run this simulation)<br> input.zip (input file required for this simulation)<br> results_zenodo.zip (due to size limit of 50GB, please check <a href="https://ecco.jpl.nasa.gov/drive/files/ECCO2/LatLon_East_Antartic">https://ecco.jpl.nasa.gov/drive/files/ECCO2/LatLon_East_Antarctic</a> for complete model output. Complete datasets can also be obtained by rerunning the simulation.)</p> <p><strong>(How to build and run)</strong><br> mkdir build<br> ./../../tools/genmake2 -of ../../../tools/build_options/linux_amd64_ifort+mpi_ice_nas -mpi -mods ../code/<br> make depend<br> make -j 16<br> cd ..<br> mkdir test<br> cd test<br> ln -sf ../input/* .<br> ln -sf /nobackup/hzhang1/forcing/era_xx/ .<br> cp ../build/mitgcm_uv .<br> qsub run_omp_high_t1.pbs</p>
Ocean currents magnify upwelling and deliver nutritional subsidies to reef-building corals during El Niño heatwaves
<p>This is the data and code associated with the manuscript: Fox et al. Ocean currents magnify upwelling and deliver nutritional subsidies to reef-building corals during El Niño heatwaves. Science Advances June 2023</p>
Data for the figures of Sasaki et al. entitled "Turbulence across the Antarctic Circumpolar Current in the Indian Southern Ocean: Micro-Temperature Measurements and Finescale Parameterizations"
<p>1) Microstructure.nc includes profiles of epsilon and diapycnal diffusivity obtained from FP07 measurements.</p> <p>2) Fine_parameters.nc includes profiles of buoyancy frequency (N), shear-strain ratio, normalized internal wave energy, and polarization ratio of the counterclockwise (CCW) versus the clockwise (CW) component of the shear.</p> <p>3) epsilon_FineParam.nc includes profiles of epsilon calculated by finescale parameterizations. The subscript of each variable (eps_Fine_X) in this file corresponds to the row letter (a-l) of Table. 1.</p> <p>4) Fine_spectral_shape.nc includes profiles of Hstrain and spectral slope (s). </p>
Ocean Current Velocities 1
<p>Ocean Dynamics -- They Are Complex!</p> <ul> <li>This animation reflects the complexity of ocean dynamics acting from the whole Earth scale to the local scale.</li> <li>It depicts a numerical model simulation of ocean physics by the MIT general circulation model at a resolution of 4km. </li> <li>For more information, visit <a href="https://gaelforget.net/artwork/">https://gaelforget.net/artwork/</a></li> </ul>
Data from: Seabird diversity hotspot linked to ocean productivity in the Canary Current Large Marine Ecosystem
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Data from: Population genetic structure and connectivity of the seagrass Thalassia hemprichii in the Western Indian Ocean is influenced by predominant ocean currents
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Data from: Historical processes and contemporary ocean currents drive genetic structure in the seagrass Thalassia hemprichii in the Indo-Australian Archipelago
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Data from: Ocean currents, individual movements and genetic structuring of populations
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Data from: Genetic diversity and divergence among coastal and offshore reefs in a hard coral depend on geographic discontinuity and oceanic currents.
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