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43 results for “surface currents”
Processed data and code for manuscript "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea"
<p>This repository contains the python code and processed data to reproduce analysis and figures from Rühs et al. (2024, Ocean Science): "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea".</p> <p>To reproduce the whole analysis, including the calculations of the trajectories, the following needs to be downloaded/included into a local working directory:</p> <ul> <li>the content of this repository in respective sub-directories, i.e. code (created and maintained at <a href="https://github.com/sruehs/RuehsEtAl2024_ImpactWavesSurfaceDispersal">https://github.com/sruehs/RuehsEtAl2024_ImpactWavesSurfaceDispersal</a>), data-proc, figs</li> <li>the original surface velocity data, to be downloaded here: <a href="https://zenodo.org/records/10879702">https://zenodo.org/records/10879702</a>, in an additional sub-directory named data-orig</li> </ul> <p>Additionally, the OceanParcels package, available via <a href="https://github.com/OceanParcels/parcels">https://github.com/OceanParcels/parcels</a> or <a href="https://anaconda.org/conda-forge/parcels">https://anaconda.org/conda-forge/parcels</a> needs to be installed in the python working environment. Then, the scripts in the code directory can be executed to re-run the trajectory simulations and analysis. Alternatively, the output in forms of figures and processed data can be accesed directly in the respective sub-directories.</p>
Ocean surface currents, SSH and SST from LLC4320, before and after Lagrangian filtering
<p>This dataset comprises daily snapshots of horizontal velocity, sea surface height and sea surface temperature from LLC4320, a high resolution setup of the MITgcm, in the Agulhas region. We provide the unfiltered data, and the data after Lagrangian filtering as described in Jones, CS, Xiao, Q, Abernathey, RP and Smith, KS <em>Separating balanced and unbalanced flow at the surface of the Agulhas region using Lagrangian filtering (preprint: </em><a href="https://doi.org/10.31223/X5D352">https://doi.org/10.31223/X5D352</a> ). Lagrangian filtering is not applied to the sea surface temperature.</p> <p>This dataset is not the dataset that was used to make the figures in Jones et al. (see <a href="https://doi.org/10.5281/zenodo.6574163">https://doi.org/10.5281/zenodo.6574163</a>), but a separate dataset that is meant to be used in future study. We have decided to make this dataset publicly available because it may be useful for machine learning, or for studies that investigate the dynamical equations that govern the sea surface height and horizontal velocity field.</p> <p>unfilt_u_v_ssh_sst.nc contains unfiltered horizontal velocity, sea surface height and sea surface temperature</p> <p>filt_u_v_ssh.nc contains horizontal velocity and sea surface height after Lagrangian filtering</p> <p>This work was supported by NASA award 80NSSC20K1142.</p>
Data: Contrasting current and future surface melt rates on the ice sheets of Greenland and Antarctica: lessons from in situ observations and climate models
<p>These data accompany the publication "Contrasting current and future surface melt rates on the ice sheets of Greenland and Antarctica: lessons from in situ observations and climate models". The data are organized as follows:</p> <p>- two files with time series (csv) of hourly near-surface climate and surface energy balance values for Neumayer station (ice shelf, East Antarctic ice sheet) and automatic weather station S5 (southwest Greenland ice sheet)</p> <p>- two files (nc) with monthly melt fields from the regional climate model RACMO2.3p2 forced by ERA5 over Greenland (0.05-degree resolution) and Antarctica (0.25-degree resolution)</p> <p>- two files (nc) with annual melt fields from the regional climate model RACMO2.3p2 forced by CESM2 over Greenland (0.1-degree resolution) and Antarctica (0.25-degree resolution) or the historical period (1950-2014)</p> <p>- two files (nc) with annual melt fields from the regional climate model RACMO2.3p2 forced by CESM2 over Greenland (0.1-degree resolution) and Antarctica (0.25-degree resolution) for the future emission scenario SSP5-8.5 (2015-2099)</p>
Total nitrogen and total phosphorus concentrations from surface water samples collected by the Citizen-Led Environmental Observatory (CLEO) from multiple nearshore sites in Lake Lillinonah, Connecticut, USA, 2011-current
Included in this data package are water quality data from the Citizen-Led Environmental Observatory (CLEO), a volunteer water quality monitoring program run by Friends of the Lake (FOTL, friendsofthelake.org) and Fairfield University at Lake Lillinonah, Connecticut, USA. The program has been operational since 2008 (data available 2011-current). Trained volunteer monitors collect surface water samples from multiple nearshore sites twice a month from Memorial Day through Labor Day. These samples are analyzed for total nitrogen and total phosphorus concentrations. Water samples are also analyzed for levels of the toxin microcystin. Additionally, CLEO volunteers collect data on water temperature, Secchi disk depth, water color, presence of floating woody debris, recreation potential, trash, particle type and surface scum every 1-3 days during the same period. These additional data are available in EDI packages EDI567 (general water quality) and EDI569 (toxins).
Sea Surface Height (SSH) maps for the California Current System, Jan-May 2018
<p>This is a dataset in netCDF format comprising daily sea surface height maps in the California Current system during between Jan-May 2018, produced by AVISO and 2DVAR, described and analyzed in the research paper:</p> <p>Archer, M., Li, Z., & Fu, L.‐L. (2020). Increasing the space‐time resolution of mapped sea surface height from altimetry. <em>Journal of Geophysical Research: Oceans</em>, 125, e2019JC015878. <a href="https://doi.org/10.1029/2019JC015878">https://doi.org/10.1029/2019JC015878</a></p> <p>Please see metadata and/or paper for more details. </p>
Operating diagram of hatching module in Zoug jars, this system consists of a 300-litre temperature-controlled isothermal enclosure containing 10 one-litre Zoug jars, each able to accommodate several hundred eggs. An ascending current holds the eggs in suspension and carries the larvae to the surface. Another bottle connected to this device collects the larvae. The water circulating in the jars is independent of that used in the filtration circuit. A cooling unit and UV sterilizer complete the installation. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Operating diagram of hatching module in Zoug jars, this system consists of a 300-litre temperature-controlled isothermal enclosure containing 10 one-litre Zoug jars, each able to accommodate several hundred eggs. An ascending current holds the eggs in suspension and carries the larvae to the surface. Another bottle connected to this device collects the larvae. The water circulating in the jars is independent of that used in the filtration circuit. A cooling unit and UV sterilizer complete the installation.
RFR-CCS: A monthly surface pCO2 product for the California Current Large Marine Ecosystem
<p><strong>Description</strong></p> <p>RFR-CCS is a monthly data product of surface pCO2 for the California Current Large Marine Ecosystem. It was built using pCO2 observations from the Surface Ocean CO2 Atlas, fit against a variety of driver variables (sources of which are listed below) using a Random Forest Regression, and provided on a 0.25 degree resolution grid from January 1998 to December 2020.</p> <p><strong>Citation</strong></p> <p>If using this product, please also cite the original manuscript:</p> <p>Sharp, J.D., Fassbender, A.J., Carter, B.C., Lavin, P.D., and Sutton, A.J. <a href="https://doi.org/10.5194/essd-14-2081-2022">A monthly surface pCO2 product for the California Current Large Marine Ecosystem</a>. Earth System Science Data, 14, 2081–2108, 2022. doi: 10.5194/essd-14-2081-2022.</p> <p><strong>Driver Variables (<a href="https://figshare.com/articles/dataset/RFR-CCS/15152013/2">figshare</a>)</strong></p> <p>1. Sea Surface Temperature: <a href="https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html">OISSTv2</a></p> <p>2. Sea Surface Salinity: <a href="https://www.ecco-group.org/products.htm">ECCO2</a></p> <p>3. Chlorophyll-a: <a href="http://sites.science.oregonstate.edu/ocean.productivity/1080.by.2160.monthly.inputData.php">Oregon State (via NASA)</a></p> <p>4. Wind Speed: <a href="https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5">ERA5</a></p> <p>5. Atmospheric pCO2: <a href="https://gml.noaa.gov/ccgg/mbl/">NOAA MBL</a></p> <p>6. Mixed Layer Depth: <a href="https://www.hycom.org/hycom/">HYCOM</a></p> <p>7. Distance from Shore: Calculated from latitude and longitude (<a href="https://www.chadagreene.com/CDT/CDT_Contents.html">dist2coast, Climate Data Toolbox</a>)</p> <p>8. Year</p> <p>9. Month of Year</p>
GEST Ocean Surface Current 2.0
<p>The GEST Ocean Surface Current product 2.0 builds upon the GEST Ocean Surface Current product 1.0 (doi: 10.5281/zenodo.8329991), which estimates ocean surface currents at a 15 m depth using GESTNet, integrating multi-scale physical processes including Geostrophic and Ekman currents, wave-induced Stokes drift, and Tidal currents. This global daily product spans the period from 2006 to 2019, featuring a spatial resolution of 0.25°. It is anticipated to be a reliable indicator of actual ocean circulation. </p>
Rutgers 2002 - 2007 HF Radar 06 km Surface Currents
<p>This dataset was created for the research done in the following research: Seasonal climatology of wind-driven circulation on the New Jersey Shelf authored by Donglai Gong, Josh Kohut and Scott Glenn <a href="https://doi.org/10.1029/2009JC005520">https://doi.org/10.1029/2009JC005520.</a> The original dataset used in the research was a .mat file. To bring it to more modern standards, this dataset has been converted to a netcdf and possesses most of the required compliance measures for Climate and Forecasting data revision 1.6. The data has been regridded from the original grid to the current MARACOOS 06 km grid. The dataset contains east/west and north/south velocities derived from the HF radar off the coast of New Jersey from 2002 - 2007.</p>
HF Radar surface current velocity dataset in the Eastern Australia (2012-2023): version 1.0
<p>This dataset contains the HF radar surface current velocity collected along the eastern Australian coast from 2012 to 2023. It includes data from two radar sites: Coff Harbour (COF, 153°9'E 30°18'S) and Newcastle (NEWC, 151°49'E 32°55'S). The spatial resolutions of the data are 1.5km upstream (COF radar) and 6km downstream (NEWC), and they cover an area approximately 150km from the coast. The dataset covers the period from 2012 to 2020 for the upstream radar (COF) and from 2018 to 2024 for the downstream radar (NEWC). The dataset was quality-checked and gap-filled by the variational approach (2dVar). Two-dimensional variables: Sea-surface current velocity in zonal (UCUR) and meridional (VCUR) directions. </p>
Surface wave observations in 100% Umf fluidised granular current
<p>High speed video frames taken at 500 fps, looking down at the upper surface of a granular flow being supplied with 100% of the minimum fluidisation velocity. Shows development and evolution of surface waves as the current propagates and comes to a halt. Flume base is 15 cm wide. Current is comprised of 45-90 micron soda lime ballotini.</p>
Surface wave observations in 60% Umf fluidised granular current
<p>High speed video frames taken at 500 fps, looking down at the upper surface of a granular flow being supplied with 60% of the minimum fluidisation velocity (Umf). Shows development and evolution of surface waves as the current propagates and comes to a halt. Flume base is 15 cm wide. Current is comprised of 45-90 micron soda lime ballotini.</p>
Surface wave observations in 90% Umf fluidised granular current
<p>High speed video frames taken at 500 fps, looking down at the upper surface of a granular flow being supplied with 90% of the minimum fluidisation velocity. Shows development and evolution of surface waves as the current propagates and comes to a halt. Flume base is 15 cm wide. Current is comprised of 45-90 micron soda lime ballotini.</p>
25-years dataset of Ageostrophic, Ekman and Stokes surface currents in the Mediterranean Sea (AGESC-Med)
<p>One meter integrated depth surface velocity fields for the Mediterranean Sea calculated following the methodology in Morales-Marquez et al.(2020) DOI:10.1029/2022JC019135 and used in Morales-Marquez et al. (2023) DOI: 10.1029/2020JC017104. This dataset provides the total velocity field, the ageostrophic, Ekman and Stokes components.</p>
Mediterranean Sea, NEMO4.2 / WW3 uncoupled and coupled surface: stress, currents and Stokes Drift
<pre>The NEMO version 4.2 has been updated to include new processes related to wave-current interactions. <br>A set of sensitivity experiments are performed using the hydrodynamic model, NEMO v4.2 standalone and coupled with <br>the spectral wave model WaveWatchIII (WW3) v6.07 through the OASIS library. <br><br>The configuration is based on the operational Copernicus Marine Service Mediterranean forecasting physical system (MedFS). <br>Both models are implemented at 1/24° resolution and are forced by ECMWF 1/10° horizontal resolution atmospheric fields.<br><br>Two-year (2019-2020) numerical experiments are carried out in both uncoupled and 1 way coupled mode.<br>This dataset contains the NEMO output of the daily surface fields for the surface stress, the surface currents <br>and the Stokes drift for the uncoupled and coupled experiments. <br>This dataset was created in the context of the IMMERSE H2020 project.</pre>
Evolutionary Overview of Surface Wave Method Based on Bibliometric Analysis: Past, Current and Future
<p>The surface wave method has been a cornerstone in seismic imaging and monitoring across diverse scenarios for the past 70 years. We offers an objective snapshot of the current landscape in surface wave method research through a comprehensive bibliometric analysis. Utilizing both bibliographic and structured network analysis techniques, including Biblioshiny and VOSviewer applications, we meticulously examine the literature spanning from 1952 to 2024, sourced from the Web of Science Core Collection database. This work has been submitted to "SCIENCE CHINA earth science" for peer review ( Guan et al., 2024 ).</p> <p>The package includes the datasets utilized for bibliometric analysis in the submitted manuscript. It includes a text file named "Refined_TabDelimited_Data.txt" for VOSviewer software and a spreadsheet "Refined_Bibliometrix_Data.xlsx" for Biblioshiny application.</p>
Processed High Frequency Radar (HFR) Surface Current Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program
<p>These hourly surface current velocities are a combined product derived from 8 monostatic radars (4 CODAR and 4 WERA) operated as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A detailed description of processing methods and analysis is provided by Seim, <em>et al. </em>(2022) and a brief outline in the documentation uploaded with this dataset.</p> <p>Seim, H., Savidge, D., Muglia, M., Haines, S., & Han, L. (2022). Surface current observations from a combined CODAR/WERA high-frequency radar array along the North Carolina coast during the Processes Driving Exchange at Cape Hatteras (PEACH) Project. <em>IEEE/MTS Proceedings Oceans 2022</em>.</p>
PVLAB: Remotely Sensed Surface Currents from Field Experiments (2013, 2018, 2021, 2022)
<p>This archive contains 2-min mean remotely sensed surface currents generated using optical imagery and PIV (Dooley et al., 2024) from field experiments (2013, 2018, 2021, 2022) occurring at the U.S. Army Corps of Engineers Field Research Facility, in Duck, NC. The README.txt file contains information regarding variables found in the MATLAB (PVLAB_PIV_SurfaceFlows.mat) file, including estimate locations, units, and timestamps.</p> <p>Estimates were generated at times with appropriate conditions for remote sensing (e.g., sufficient foam tracer) that were within 1-day of measured bathymetry at the field site. Additional data for the field site (obtained by the USACE Field Research Facility or by NOAA) including the measured bathymetry and wave conditions can be found at: https://chlthredds.erdc.dren.mil/thredds/catalog/frf/catalog.html</p> <p>Remote sensing estimates are not perfect and errors in filtering out bad data are possible. Please reach out to Ciara Dooley at cdooley@whoi.edu, Steve Elgar at selgar@mac.com, and Britt Raubenheimer at braubenheimer@whoi.edu if you have any questions. Additionally, the optical imagery (large dataset, many TBs) used to generate flow estimates can be accessed by contacting the authors.</p> <p> </p>
Monthly surface chlorophyll-a data and ENSO composites in the Northern Humboldt Current System
<p>This dataset comprises monthly maps of surface chlorophyll-a concentrations derived from the ESACCI-OC product, covering the region between 0-20°S and 70-90°W at a high spatial resolution of 4 km. In addition to the raw chlorophyll-a data, the dataset includes ENSO phase composites—monthly climatologies that characterize typical conditions during El Niño, La Niña, and ENSO-neutral phases. These composites provide valuable insights into the variability and trends in ocean productivity associated with different ENSO conditions, offering a comprehensive view of the temporal and spatial patterns of chlorophyll-a in the study area.</p>
Nicosia, Bedestan. Plan of the complex prepared in 1980-81 combined with resistivity tomography at a depth of 1.25m below the current surface with hypothetical reconstruction of the early Byzantine church.
<p>Nicosia, Bedestan. Plan of the complex prepared in 1980-81 combined with resistivity tomography at a depth of 1.25m below the current surface with hypothetical reconstruction of the early Byzantine church.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.