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6 results for “Streamfunctions”

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zenodo40/100

AI4ER GTC: ECCO Streamfunction, MOC Strength, and Surface Variables

<p><strong>Overview</strong></p> <p>This repository contains all <a href="https://ecco-group.org/" target="_blank" rel="noopener">NASA ECCO</a> data used for our AI4ER Guided Team Challenge project. Data was downloaded from <a href="https://podaac.jpl.nasa.gov/" target="_blank" rel="noopener">PO.DAAC</a>. Download and preprocessing scripts can be found in the corresponding GitHub repository (see the <a href="https://github.com/ai4er-cdt/OTP/tree/main" target="_blank" rel="noopener">repository</a> or the <a href="../doi/10.5281/zenodo.10817670" target="_blank" rel="noopener">archived version</a>).</p> <p>Use and redistribution of this data is in line with <a href="https://www.earthdata.nasa.gov/engage/open-data-services-and-software/data-and-information-policy" target="_blank" rel="noopener">NASA EarthData's Data and Information Policy</a> and <a href="https://podaac.jpl.nasa.gov/CitingPODAAC" target="_blank" rel="noopener">NASA PO.DAAC's Data Use and Citation Policy</a>.</p> <p><strong>Data Structure</strong></p> <p>Please see the included <code>README.md</code> file for full details on the dataset.</p> <p><strong>Authors</strong></p> <ul> <li><a href="mailto:el590@cam.ac.uk">Emilio Luz-Ricca</a></li> <li><a href="mailto:sm2783@cam.ac.uk">Sharan Maiya</a></li> <li><a href="mailto:av656@cam.ac.uk">Aline Van Driessche</a></li> <li><a href="mailto:ngb34@cam.ac.uk">Nina Baranduin</a></li> <li><a href="mailto:tc656@cam.ac.uk">Thomas Cowperthwaite</a></li> </ul>

opencc-by-4.0Mar 2024View details →
zenodo40/100

Hydrothermohaline streamfunctions computed in EC-Earth

<p>NetCDF files containing hydrothermohaline streamfunctions computed from the ESM EC-Earth. The streamfunctions have been computed for the last 10 years of a historical run (1996-2005) and the last 10 years of a&nbsp;RCP 8.5 scenario run (2090-2100).</p>

opencc-by-4.0Dec 2018View details →
zenodo32/100

The AMOC streamfunction for all Bølling-Allerød(BA) simulations.

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
nasa32/100

ECCO Gent-McWilliams Bolus Transport Streamfunction - Monthly Mean llc90 Grid (Version 4 Release 4)

This dataset provides monthly-averaged Gent-McWilliams ocean bolus transport streamfunction on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

restrictednotspecifiedApr 2025View details →
nasa32/100

ECCO Gent-McWilliams Bolus Transport Streamfunction - Daily Mean llc90 Grid (Version 4 Release 4)

This dataset provides daily-averaged Gent-McWilliams ocean bolus transport streamfunction on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

restrictednotspecifiedApr 2025View details →
zenodo24/100

FESOM 2.0 computation of meridional overturning and barotropic streamfunctions

<p>The dataset as well as the Python code related to the&nbsp;article &nbsp;&quot;Simple algorithms to compute meridional overturning and barotropic streamfunction on unstructured meshes&quot; submitted to GMD, 2019</p>

opencc-by-4.0Nov 2019View details →

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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.

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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.

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