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67 results for “NEMO”
Processed NEMO output investigating glider sampling strategies
<p>This output is related to an investigation into glider sampling strategies. The data is generated from output from a 1/48<sup>o</sup> NEMO simulation of a patch of the north-eastern Weddell Sea. Each file corresponds to data required for reproducing figures included in an associated publication, where this data is also outlined. Verbose file naming is used for easier understanding of the file contents. See rdPatmore on GitHub for code used to produce and manipulate this data.</p>
Model outputs from a NEMO-PISCES configuration of the tropical Atlantic Ocean
<p>Model outputs from a NEMO-PISCES configuration of the tropical Atlantic Ocean (35°S-35°N, 100°W-20°E), from 1998 to 2007. It contains monthly climatologies (10-years averages) of several ocean and biogeochemical variables, as well as monthly Chlorophyll, for 4 sensitivity experiments. These 4 simulations are described and analyzed in the paper: "On the importance of riverine organic matter for the Amazon plume: a modeling study" by Gévaudan et al., under review in JGR: Oceans. A preprint is available here: https://doi.org/10.22541/essoar.172081327.75230541/v2.</p>
Abiotic radiocarbon simulated in NEMO ocean model
<p>Following the Ocean Model Intercomparison Project (Orr et al., 1999, 2017), abiotic radiocarbon is simulated using the global ocean circulation model Nucleus for European Modelling of the Ocean (NEMO) version 3.6 (Madec, 2014), which is coupled to the Los Alamos sea-ice model (CICE, Rae et al., 2015). </p> <p>Simulation one, "Hist", was forced with inter-annually varying JRA-55-do atmospheric reanalysis data (version 1.5, Tsujino et al., 2018), which is available for the period 1958 through 2020 at 3-hour intervals, which is cycled over 1850 to 2020; and with historical atmospheric CO2 and ∆14C boundary conditions.</p> <p>The other simulation (”Hist-NYF”) was forced with the JRA-NY atmospheric data in every year, which is a one year chunk (01-May-1990 to 30-April-1991) from JRA-55-do (version 1.3) data when major climate modes such as the North Atlantic Oscillation, Southern Oscillation and Southern Annular Mode were largely neutral. </p> <p>The "Fix" simulation ran with fixed atmospheric CO2 and ∆14 C boundary conditions, using 1850 values and inter-annually varying JRA-55-do atmospheric reanalysis data.</p>
Model output: NEMO-CICE with an emergent sea ice floe size distribution
<p>NEMO-CICE model output from experiments with and without an emergent sea ice floe size distribution.</p> <p>See README for further details</p>
Model outputs for "Multi-grid algorithm for passive tracer transport in NEMO ocean circulation model"
<p>Model outputs used to write "Multi-grid algorithm for passive tracer transport in NEMO ocean circulation model" publication.</p>
NEMO BASIN example for xgcm
<p>This is a dataset taken as the time mean of the last 50 years of the reference run of caneill et al. 2022, JPO, The polar transition from alpha to beta regions set by a surface buoyancy flux inversion., <a href="https://doi.org/10.1175/JPO-D-21-0295.1">https://doi.org/10.1175/JPO-D-21-0295.1</a></p> <p>This dataset is used as example in the xgcm documentation.</p>
NEMO development and use in OCEAN:ICE
<p>Casimir de Lavergne at the 21st edition of the DRAKKAR Workshop, which took place in Grenoble on Jan 30, Jan 31, and Feb 1st 2023.</p>
Synthetic along-track altimetry data over 1993-2018 from a NEMO-based simulation of the IMHOTEP project
<p>"Synthetic observations" of along-track SSH have been extracted online during the production of the global, NEMO-based experiment ** IMHOTEP-GAIc**, at every single time and locations where a true SLA observation exists in the AVISO database for the along-track altimetry from the TOPEX, Jason-1, Jason-2 and Jason-3 satellite continuous series over the period 1993-2018. This global ocean/sea-ice/iceberg simulation uses the NEMO model, and has a horizontal resolution of 1/4°. The atmospheric forcing applied at the surface is based on the JRA reanalysis (Kobayashi et al., 2015) and varies over the full range of time-scales from 6 hours to multi-decadal. The freshwater runoff forcing applied to the experiment is fully-variable (daily to multi-decadal) based on the ISBA hydrographic reanalysis for rivers (Decharme et al., 2019) and from altimeter data and regional GCM simulations for the liquid and solid discharges from the Greenland ice-sheet (Mouginot et al 2019). These runoffs are only climatological around Antarctica.<br>This synthetic along-track SSH dataset from the model is available over the altimetry period (1993-2018). It is provided there along with a time-mean model SSH (gridded model field) over the same period that can be used as a proxy for mean dynamic topography ("MDT").</p><p>See the README file for more information. And online documentation is also available here: https://doc-imhotep.readthedocs.io/en/latest/6-Synthetic-Obs.html</p>
data collection for NEMO BGC assessment in idealised models (GM in non-eddying models)
<p>Edit in ver 3, 17 Oct 2023:</p><ul><li>(<strong>important</strong>) there is a bug NEMO GEOMETRIC code (advection of parameterised eddy energy; see ldfeke.F90), fixed in the present version</li><li>new data files updated (everything is included for completeness, although only the ones using GEOMETRIC have been updated)</li><li>data files and software files have been split out into separate zip files to enable easier downloads</li></ul><p>=========================</p><p>Edit in ver 2, 06 Feb 2023:</p><ul><li>added calculation files with Treguier et al variant of GM, supplement data not explicitly leading to figure in paper;</li><li>fixes of masking for boundary values when computing averages (no change to figures, minor changes to numerical values);</li><li>fixing a bug in the calculation of surface vorticity (raw numerical value in units of s-1 correct, but incorrect in units of f_0 because of a missing sin(latitude) factor)</li></ul><p>=========================</p><p>Data archive for "Combined physical and biogeochemical assessment of mesoscale eddy parameterisations in ocean models: eddy induced advection at non-eddying resolutions". Provided are:</p><p>1) modification and configuration files for the GYRE_PISCES configuration in NEMO 4.0.5 (r14538), with sample restart and output files</p><ul><li>CONST restart file at year 2000 (end of spin up, denoted year -300 in the paper)</li><li>CONST, GEOM, R12 restart file at year 2300 (beginning of control/climate change split, denoted year 0 in the paper)</li><li>CONST, GEOM, R12 sample output files at year 2366 to 2370 (denoted year 66 to 70 in paper)</li></ul><p>2) processed time-averaged data for regenerating figures from the article<br>3) python scripts and notebooks for analysing the data</p>
Neural Mechanisms of Monoaminergic Engagement in Late-life Depression Treatment Response (NEMO)
ClinicalTrials.gov study NCT03128021. IPD Sharing: YES. Countries: 1. Publications: 4.
GULF18, a high-resolution NEMO-based tidal ocean model of the Arabian/Persian Gulf
<p>Supporting data for the GMD draft paper "GULF18, a high-resolution NEMO-based tidal ocean model of the Arabian/Persian Gulf" (© Crown copyright Met Office):</p> <p>1) input_geometry_gulf_models: bathymetry, horizontal grid and domain (in the case of GULF18-4.0) files needed to run the three Gulf models and analyse their results.</p> <p>2) analysis_gulf_models: data for figures and analysis.</p>
Model Data of NEMO-PISCES
<p>This repository makes available the model output used in the manuscript entitled "The Biological Pump and Seasonal Variability of pCO2 in the Southern Ocean : Exploring the Role of Diatom Adaptation to Low Iron" by Person et al. The output files are in netcdf format and the variables are documented as metadata in the files. Any supplementary informations can be obtained by contacting Renaud Person.</p>
SSH-V10-EUROPE-NEMO Part 2
<p>Sea surface y-axis velocity field (V) for a region around United Kingdom, Ireland and part of continental Europe. Used to simulate Sea Surface Height.</p> <p>Part II. </p>
SSH-V10-EUROPE-NEMO Part 1
<p>Sea surface y-axis velocity field (V) for a region around United Kingdom, Ireland and part of continental Europe. Used to simulate Sea Surface Height.</p> <p>Part I</p>
SSH-U10-EUROPE-NEMO Part 1
<p>Sea surface x-axis velocity field (U) for a region around United Kingdom, Ireland and part of continental Europe. Used to simulate Sea Surface Height.</p> <p>Part I</p>
SSH-U10-EUROPE-NEMO Part 2
<p>Sea surface x-axis velocity field (U) for a region around United Kingdom, Ireland and part of continental Europe. Used to simulate Sea Surface Height.</p> <p>Part II</p>
Analysis datasets for NEMO_validation workflow Byrne et al 2023 GMD. "Using the COAsT Python package to develop a standardised validation workflow for ocean physics models"
<p>Analysis datasets in support of Byrne et al. (2023) "Using the COAsT Python package to develop a standardised validation workflow for ocean physics models", <em>Geoscientific Model Development</em>.</p> <p> </p> <p>The datasets are from a comparative analysis of two versions of the European shelf sea AMM15 (Atlantic Margin Model at 1.5km horizontal resolution) configuration. These are NEMO ocean model configurations with different code base versions. The configurations are CO7, which is based on NEMOv3.6, and CO9p0 (also referred to as P0.0), which is based on NEMOv4.0.4.</p>
GULF18, a high-resolution NEMO-based tidal ocean model of the Arabian/Persian Gulf
<p>SSH model outputs from GULF18-4.0 model described in Bruciaferri, D., Tonani, M., Ascione, I., Al Senafi, F., O'Dea, E., Hewitt, H. T., and Saulter, A.: GULF18, a high-resolution NEMO-based tidal ocean model of the Arabian/Persian Gulf, Geosci. Model Dev., 15, 8705–8730, https://doi.org/10.5194/gmd-15-8705-2022, 2022, (© Crown copyright Met Office).</p>
NEMO: A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy
<p>The data from publication "NEMO: A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy".<br> <br> <code>nemo-bids.zip</code> contains the raw optical density (OD) recordings and corresponding metadata for each participant.</p> <p><code><task_id>_csv.zip</code> provides an easy way to access the processed <a href="https://mne.tools/stable/auto_tutorials/epochs/10_epochs_overview.html">epochs</a> data without needing any code from the code repository or other BIDS tools.</p> <p><code>NEMO_additional_metadata.tsv</code> contains additional details, such as subject's age, monitor refresh rate, gender, handedness, recording date and time, specifics about different trial types, and more. Detailed descriptions of each column can be found in the <code>NEMO_additional_metadata_column_descriptions.tsv</code> file.</p> <p>For how to use the data, refer to <a href="https://github.com/Cognitive-Computing-Group/NEMO">https://github.com/Cognitive-Computing-Group/NEMO</a></p>
GULF18, a high-resolution NEMO-based tidal ocean model of the Arabian/Persian Gulf
<p>Supporting data for the GMD paper "GULF18, a high-resolution NEMO-based tidal ocean model of the Arabian/Persian Gulf" https://gmd.copernicus.org/articles/15/8705/2022/ :</p> <p>1) Ocean tempereature and salinity 3D fields to initialise GULF18-3.6 and GULF18-4.0 models on 2013-01-16.</p> <p>2) River runoff climatology.</p> <p>© Crown copyright Met Office</p>
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