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10 results for “HYCOM”
HYCOM mode 1 steric SSH M2 amplitude and phase
<p>This data set contains data from a forward global HYCOM simulation (22.1) with realistic tide and atmospheric forcing as discussed in <a href="https://doi.org/10.1016/j.ocemod.2020.101656">https://doi.org/10.1016/j.ocemod.2020.101656</a> (On the interplay between horizontal resolution and wave drag and their effect on tidal baroclinic mode waves in realistic global ocean simulations, 2020, MC Buijsman, GR Stephenson, JK Ansong, BK Arbic, JAM Green, ... Ocean Modelling 152, 101656). <strong>Please cite this article when using these data. </strong></p> <p>This is a 4-km simulation with 41 layers. All data is on the native tripole grid. Data is stored as netcdf4 classic. The 2D data sets are 7055 x 9000 (lat x lon).</p> <p>The data set contains</p> <ol> <li>the M2 mode 1 complex amplitude (RE+i*IM) of steric SSH computed for a two-week time series; the phase is relative to GMT 01-Sep-2016 01:00:00; the mode-1 amplitude is computed from the mode-1 surface pressure value (see <a href="https://doi.org/10.1016/j.ocemod.2020.101656">https://doi.org/10.1016/j.ocemod.2020.101656</a>). </li> <li>Mode-1 eigenspeed</li> <li>Positive seafloor depth, and latitude and longitude coordinates</li> </ol> <p>To convert eigenspeed to wavelength, phase speed and group speed, see <a href="https://doi.org/10.1016/j.ocemod.2020.101656">https://doi.org/10.1016/j.ocemod.2020.101656</a></p> <p><a href="https://sites.google.com/site/maartenbuijsman/">https://sites.google.com/site/maartenbuijsman/</a></p>
Net primary production from the Behrenfeld-CbPM, Westberry-CbPM and Silsbe-CAFE algorithms - HYCOM MLD 0.125 Criterion
<p>Net primary production (mg C m<sup>-2</sup> d<sup>-1</sup>) calculated from the Behrenfeld-CbPM, Westberry-CbPM and Silsbe-CAFE algorithms. MLD data taken from HYCOM using the density criterion of 0.125 kg m<sup>-3</sup>. </p> <p>Data on a regular 25km grid at a 8 day resolution.</p> <p><strong>Version 1.1</strong></p> <p>Fixed minor issues with:</p> <ol> <li>Conversion of bbp(443) to phytoplankton carbon.</li> <li>Missing values at ~180W.</li> </ol> <p> </p> <p><strong>Version 1.2</strong></p> <ol> <li>Updated to include 2023.</li> <li>Westberry-CbPM Nitracline depth updated with World Ocean Atlas 2023 Nitrate Data.</li> <li>Silsbe-CAFE bbwater calculations updated with World Ocean Atlas 2023 Salinity Data.</li> <li>File structure compressed using Zlib.</li> </ol> <p>Please note for Westberry-CbPM and Silsbe-CAFE all years were reprocessed.</p> <p> </p> <p>No further updates are planned for this data product - please email tryankeogh@csir.co.za if you have interest in further updates.</p>
Net primary production from the Behrenfeld-CbPM, Westberry-CbPM and Silsbe-CAFE algorithms - HYCOM MLD 0.030 Criterion
<p>Net primary production (mg C m-2 d-1) calculated from the Behrenfeld-CbPM, Westberry-CbPM and Silsbe-CAFE algorithms. MLD data taken from HYCOM using the density criterion of 0.030 kg m-3. </p> <p>Data on a regular 25km grid at a 8 day resolution.</p> <p><strong>Version 1.1</strong></p> <p>Fixed minor issues with:</p> <ol> <li>Conversion of bbp(443) to phytoplankton carbon.</li> <li>Missing values at ~180W.</li> </ol> <p> </p> <p><strong>Version 1.2</strong></p> <ol> <li>Updated to include 2023.</li> <li>Westberry-CbPM Nitracline depth updated with World Ocean Atlas 2023 Nitrate Data.</li> <li>Silsbe-CAFE bbwater calculations updated with World Ocean Atlas 2023 Salinity Data.</li> <li>File structure compressed using Zlib.</li> </ol> <p>Please note for Westberry-CbPM and Silsbe-CAFE all years were reprocessed.</p> <p> </p> <p>No further updates are planned for this data product - please email tryankeogh@csir.co.za if you have interest in further updates.</p>
M2 internal tide modal energy terms from a global HYCOM simulation
<p>This data set contains modal energy terms from a forward global HYCOM simulation (22.1) with realistic tide and atmospheric forcing as discussed in <a href="https://doi.org/10.1016/j.ocemod.2020.101656">https://doi.org/10.1016/j.ocemod.2020.101656</a> (On the interplay between horizontal resolution and wave drag and their effect on tidal baroclinic mode waves in realistic global ocean simulations, 2020, MC Buijsman, GR Stephenson, JK Ansong, BK Arbic, JAM Green, ... Ocean Modelling 152, 101656). <strong>Please cite this article when using these data. </strong></p> <p>This is a 4-km simulation with 41 layers. All data is on the native tripole grid. Data is stored as netcdf4 classic. The 2D data sets are 7055 x 9000 (lat x lon).</p> <p>The data set contains</p> <ol> <li>The time-mean and depth-integrated M2 mode 1-5 energy terms: x (eastward) and y (northward) fluxes, KE, APE, conversion, flux divergence, and the intermodal energy conversion (topographic mode coupling) term. The terms are computed for a two-week time series starting on GMT 01-Sep-2016 01:00:00. For details see the paper.</li> <li>Positive seafloor depth, and latitude and longitude coordinates</li> </ol> <p>The M2 mode-1 SSH of the same simulation can be found here: https://doi.org/10.5281/zenodo.5514226</p> <p><a href="https://sites.google.com/site/maartenbuijsman/">https://sites.google.com/site/maartenbuijsman/</a></p>
Regional HYCOM output: absolute and relative wind forcing experiments
<p>Hybrid Coordinate Ocean Model (HYCOM) output from 2 forced regional simulations of the Agulhas Current. The first experiment is forced by absolute winds, the second experiment is forced by relative winds (the wind speed relative to the current speed). Data uploaded here are the sea surface height and surface u and v velocities, for both experiments. This is weekly output from January 1993- December 2013 at 1/10°. Also uploaded is a vertical section of the HYCOM output along the ACT transect in the Agulhas Current (~33.4°S at the coast and extending 300km offshore) for both experiments from 2010- 2013.</p> <p>For more information on the data please refer to "L. Braby, Backeberg, B., Krug M. and Reason C. (in prep), Quantifying the impact of wind-current feedback on mesoscale variability in forced simulation experiments of the Agulhas Current using an eddy tracking algorithm."</p>
SIC, SIT, SST and SSS from HYCOM-CICE with LAON assimilation of SIC
<p>This data is generated using the Norwegian High-resolution (3-5km) pan-Arctic ocean and sea ice Prediction System (NorHAPS), which is based on a coupled HYCOM-CICE model with the Local Analytical Optimal Nudging (LAON) for assimilation. The twin experiment simulations cover the pan-Arctic domain from 1 January 2021 to 30 April 2022, with and without assimilation of sea ice concentration. The data includes sea ice concentration and thickness, sea surface temperature and salinity.</p>
HYCOM-OceanTrack: Integrated HYCOM Eulerian Fields and Lagrangian Trajectories Dataset
<p>A combined dataset on the Registry of Open Data on AWS of simulated ocean sea surface height, near-surface velocities, and particle trajectories from a global 1/25th degree HYbrid Coordinate Ocean Model (HYCOM) 1-year run.</p>
HYCOM 10.2 hourly steric sea surface height outputs for Amazon Shelf domain 2016
<p>This data set contains HYCOM steric sea surface heights for year 2016 subdomain of .04 degree resolution global (non-assimilative) HYCOM. The HYCOM tidal forcing included 5 constituents (s2, n2, m2, o1, k1) with nodal corrections. The subdomain limits are: longitude 305-335E, latitude: -5-20N.</p>
HYCOM Outputs Used in the paper <Intraseasonal Variability of the Surface Zonal Current in the Equatorial Indian Ocean: Seasonal Differences and Causes>
<p>The Hybrid Coordinate Ocean Model (HYCOM) is conducted in this paper to characterize intraseasonal features of equatorial currents and to explore the dynamics process in the Indian Ocean. The model has a horizontal resolution of 0.25°´0.25° and 26 vertical layers in the Indian Ocean Basin (50°S-30°N, 30°-122.5°N). The model is spun up from a state of rest for 30 years using monthly climatological forcing, and then is integrated forward by cross-calibrated Multi-Platform (CCMP) satellite ocean surface winds (Atlas et al., 2008) from 1 March 2000 to 31 December 2010 and by the daily 0.25 ° × 0.25° gridded Advanced Scatterometer (ASCAT) satellite ocean surface winds (Bentamy and Fillon, 2012) from 1 January 2011 to 31 December 2012. This experiment is named the main run (MR). We performed two additional experiments besides MR, named NoISO and NoSTRESS. In the NoISO, the forcing is overall atmospheric ISOs that fully filtered with a 105-day low-pass Lanczos digital filter. The outputs of the three experiments are daily data, we used the records of 2001-2012 in our analysis.</p> <p>MR-- Controlled experiment</p> <p>NoISO -- There is no intraseasonal oscillation (ISO) in the driving atmospheric field in this experiment, so it can measure the effect of oceanic interannual instability, and MR-NoISO measure the effect of atmospheric ISOs)</p> <p>NoStress -- There is no intraseasonal wind stress in the driving atmospheric field in this experiment, so MR-NoStress measures the effect of intraseasonal wind stress</p>
Dataset for the HYCOM ISV in the upper ocean
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