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18 results for “FESOM”
FESOM-REcoM model data: Severe 21st-century ocean acidification in Antarctic Marine Protected Areas
<p>This repository contains all post-processed model output used in the paper "Severe 21st-century ocean acidification in Antarctic Marine Protected Areas". It contains the data underlying the figures in the paper, such as regional averages, as well as masks for the marine protected areas and the grid information file of the original model output.</p><p>The data were created using python scripts provided at <a href="https://doi.org/10.5281/zenodo.10295920">https://doi.org/10.5281/zenodo.10295920</a>. </p><p>Original model output, including full fields of computed pH and saturation states with respect to aragonite and calcite, is available at the World Data Center for Climate (WDCC) under the following DOIs:</p><ul><li>simA, historical: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC</a></li><li>simA, ssp126: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC</a></li><li>simA, ssp245: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC</a></li><li>simA, ssp370: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC</a></li><li>simA, ssp585: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC</a></li><li>simB: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC</a></li><li>simC, historical: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_C_hist_vA_cC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_C_hist_vA_cC</a></li><li>simC, ssp245: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_C_s245_vA_cC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_C_s245_vA_cC</a></li><li>simC, ssp585: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_C_s585_vA_cC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_C_s585_vA_cC</a></li><li>simC, historical: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_D_hist_cA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_D_hist_cA_vC</a></li><li>simC, ssp585: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_D_s585_cA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_D_s585_cA_vC</a></li></ul><p> </p>
FESOM-REcoM model data: A regime shift on Weddell Sea continental shelves with local and remote physical-biogeochemical implications is avoidable in a 2°C scenario
<p>This data set includes the minimal data necessary to reproduce the findings of Nissen et al. (2023). Output of model simulations with the global ocean biogeochemical model FESOM1.4-REcoM2 is provided. In particular, besides information on the model grid, the data set includes annual mean water mass properties (temperature, salinity, density, oxygen, pH) and freshwater fluxes from sea ice and ice shelves and decadal averages of air-sea CO2 fluxes and deep-ocean carbon accumulation rates. Model results are provided from 1980-2100 for the four emission scenarios SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 (sorted from low emission to high emission).</p> <p>Please see README for more information on the individual files. </p> <p>Data set belongs to: </p> <p>Nissen, C., R. Timmermann, M. Hoppema, and J. Hauck, 2023: A regime shift on Weddell Sea continental shelves with local and remote physical-biogeochemical implications is avoidable in a 2°C scenario. <em>J. Climate</em>, <a href="https://doi.org/10.1175/JCLI-D-22-0926.1">https://doi.org/10.1175/JCLI-D-22-0926.1</a>, in press.</p>
FESOM sea ice production for the southern Weddell Sea, 2002-2017
<p>Sea ice production data for the southern Weddell Sea from the FESOM simulation. Data is used in the paper:</p> <div> <div>Stulic, L., Timmermann, R., Paul, S., Zentek, R., Heinemann, G., and Kanzow, T.: Southern Weddell Sea surface freshwater flux modulated by icescape and atmospheric forcing, Ocean Sci., 19, 1791–1808, https://doi.org/10.5194/os-19-1791-2023, 2023.</div> </div>
Processed EKE from FESOM-SO3
<p>EKE datasets calculated from FESOM model output on the SO3 mesh and interpolated to a regular grid. Data processing is described in <a href="https://doi.org/10.5281/zenodo.8046783">https://doi.org/10.5281/zenodo.8046783</a>.</p>
FESOM-REcoM model data: Lagrangian particle trajectories
<p>This data set includes the results of Lagrangian particle tracking experiments with FESOM1.4-REcoM2. Particles were seeded at 596 positions near the Filchner Ice Shelf front at 78°S between Berkner Island and Coats Land and tracked forwards and backwards using daily mean model output. Particles were seeded every 10th day in 1990 and 1991 (historical, forward), 2009 and 2008 (historical, backward), 2080 and 2081 (future/SSP5-8.5 scenario, forward), and 2099 and 2098 (future/SSP5-8.5 scenario, backward). Particles were tracked outside of ice-shelf cavities for 20 (19) years or until the the particle left the domain of interest in the north (62°S), west (65°W), or east (2°E). </p> <p>The following information for each particle is stored twice a day: longitude (blon in files), latitude (blat), time (bday and time), depth (bdepth), temperature (btemp), salinity (bsalt), density (bsigma0; potential density anomaly referenced to 0dbar) dissolved inorganic carbon (bdic), and total carbon (btotc).</p> <p>Each *tar.gz archive contains one experiment, i.e., all trajectories for e.g., forward/1990-2009 (seeding days 1,11,...,361 in 1990). For each seeding day, there are 12 *nc files, which together constitute the 596 particles seeded on a given day.</p> <p> </p> <p><strong>Naming convention / *tar.gz files: </strong></p> <p>Nissen2023_FESOM1.4_REcoM2_Trajectories_FT_<em>EXPERIMENT</em>_<em>START_END_YEAR</em>.tar.gz</p> <p><em>EXPERIMENT</em>: bw (backward) or fw (forward)</p> <p><em>START_END_YEAR</em>: 2009_1990, 2008_1990, 2098_2080, or 2099_2080 for backward experiments; 1990_2009, 1990_2008, 2080_2099, or 2081_2099 for forward experiments</p> <p>(EXAMPLE: Nissen2023_FESOM1.4_REcoM2_Trajectories_FT_fw_1990_2009.tar.gz)</p> <p><strong>Naming convention / *nc files: </strong></p> <p>drifter_start_Filchner_ice_shelf_day<em>SEEDING_DAY</em>_<em>START_END_YEAR</em>_<em>NUM_FILE</em>_reduced.nc</p> <p><em>SEEDING_DAY: </em>1, 11, ..., 361</p> <p><em>START_END_YEAR: </em>same as above</p> <p><em>NUM_FILE: </em>1, ..., 12</p> <p>(EXAMPLE: drifter_start_Filchner_ice_shelf_day1_1990_2009_1_reduced.nc)</p> <p> </p> <p><strong>NOTE:</strong> The following files are duplicates and also contained in the larger *tar archives described above (disregard them if all tar archives starting with "Nissen2023_FESOM1.4_REcoM2_Trajectories_FT_" have been downloaded):</p> <p>Nissen2023_FESOM1.4_REcoM2_LagrangianExperiments_FT_fw_day91_1991_2009.tar.gz</p> <p>Nissen2023_FESOM1.4_REcoM2_LagrangianExperiments_FT_fw_day91_2080_2099.tar.gz</p> <p> </p> <p><strong>The Lagrangian particle trajectories have been analyzed here:</strong> </p> <p>Nissen, C., Timmermann, R., van Caspel, M., and Wekerle, C.: Altered Weddell Sea warm- and dense-water pathways in response to 21st-century climate change, Ocean Sci., 20, 85–101, <a href="https://doi.org/10.5194/os-20-85-2024">https://doi.org/10.5194/os-20-85-2024</a>, 2024</p> <p><strong>The Eulerian fields underlying the Lagrangian experiments are described in more detail here: </strong></p> <p>Nissen, C., Timmermann, R., Hoppema, M. <em>et al.</em> Abruptly attenuated carbon sequestration with Weddell Sea dense waters by 2100. <em>Nat Commun</em> <strong>13</strong>, 3402 (2022). <a href="https://doi.org/10.1038/s41467-022-30671-3">https://doi.org/10.1038/s41467-022-30671-3</a> </p> <p>Nissen, C., R. Timmermann, M. Hoppema, and J. Hauck, 2023: A regime shift on Weddell Sea continental shelves with local and remote physical-biogeochemical implications is avoidable in a 2°C scenario. <em>J. Climate</em>, <strong>36</strong>, 6613–6630, <a href="https://doi.org/10.1175/JCLI-D-22-0926.1">https://doi.org/10.1175/JCLI-D-22-0926.1</a>. </p> <p>Original model output is available at the World Data Center for Climate (WDCC) under the following DOIs:</p> <ul> <li>simA, historical: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC</a></li> <li>simA, ssp585: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC</a></li> </ul>
Namelist files and settings for multi-year km-scale nextGEMS Cycle 3 simulations with IFS-FESOM/NEMO
<p>This dataset contains the used atmosphere, land, wave, and ocean model namelist files and settings for the multi-year km-scale nextGEMS Cycle 3 simulations with IFS-FESOM (TCo2559 atmosphere at 4.4km resolution + 5km ocean; TCo1279 atmosphere at 9km resolution + 5km ocean) and IFS-NEMO (TCo1279 atmosphere at 9km resolution, 0.25 degree ocean) as described in the study</p><p>Rackow, Pedruzo-Bagazgoitia, Becker, Milinski, Sandu et al. : <strong>Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5/NEMOV3.4</strong></p><p>This work was supported by the European Union's Horizon 2020 collaborative project NextGEMS (grant number 101003470). For more infos about the nextGEMS project, see https://nextgems-h2020.eu (last access: 29.11.2023) </p>
FESOM model data and particle tracking data used in publication 'Cross-shelf transport of Barents Sea dense water as a sink for CO2 in the Arctic Ocean'
<p>FESOM model data and particle tracking data used in the paper 'Cross-shelf transport of Barents Sea dense water as a sink for CO2 in the Arctic Ocean" by Andreas Rogge at al.</p> <p>1) FESOM velocity fields averaged over the top 200 m water depth, averaged over the time period 2015-2018.</p> <p>2) FESOM transect at 95°E in the Arctic Ocean (temperature, salinity and velocity), averaged over the time period 2015-2018.</p> <p>3a) Particle back-tracking data based on daily FESOM velocity fields in netcdf format. Particles were released at 95°E every 14 days during the year 2018 and tracked until they reached the surface. Three different constant sinking velocities were used, representative for small and large non-ballasted particles and small ballasted particles.</p> <p>3b) Distribution of particles at the surface for the experiments with three different sinking velocities as mat files. </p>
FESOM output supporting: Atmospheric wind biases: A challenge for simulating the Arctic Ocean in coupled models?
<p>AWI-CM1 and FESOM1.4 simulation results used in the manuscript "Atmospheric wind biases: A challenge for simulating the Arctic Ocean in coupled models?".</p>
FESOM-REcoM model data: Predicting future distribution of Antarctic toothfish (Dissostichus mawsoni), with implications for Marine Protected Areas in the Southern Ocean
<p>This data set belongs to <strong>"Predicting future distribution of Antarctic toothfish (<em>Dissostichus mawsoni</em>), with implications for Marine Protected Areas in the Southern Ocean"</strong> by <a>Rebecca Konijnenberg, Cara Nissen, Casper Kraan, Jilda Cavacco, Peter Yates, Philippe Ziegler, and Katharina Teschke (in preparation). </a></p> <p>Contact for data set: cara.nissen@colorado.edu</p> <p>The data provided here are post-processed from the raw FESOM1.4-REcoM2 model output which can be obtained <br>at the World Data Center for Climate (WDCC): <a href="https://www.wdc-climate.de/ui/project?acronym=HighRes_highLat_SO">https://www.wdc-climate.de/ui/project?acronym=HighRes_highLat_SO</a></p> <p>simA (historical simulation): <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC</a><br>simA-ssp126: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC</a><br>simA-ssp245: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC</a><br>simA-ssp370: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC</a><br>simA-ssp585: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC</a><br>simB (control simulation): <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC</a></p> <p>Here, we provide decadal monthly climatologies of the following variables: sea-ice fraction, surface small-phytoplankton chlorophyll, surface diatom chlorophyll, as well as potential temperature, practical salinity and oxygen concentrations (all at the surface, at the bottom, at 100m, at 250m, at 500m, at 1000m, and at 1500m). For example, "tos" is temperature in ocean at surface", while "tob" is "temperature in ocean at bottom" (with <em>bottom</em> here being the deepest available model grid cell at each location).</p> <p>We also provide the script used to re-grid the original model output to the regular 0.25° x 0.0625° mesh used in this study. </p>
FESOM data used in the study on Davis Strait freshwater export
<p>The data set contains *.mat files, which collect FESOM simulation results used to generate figures for the paper submitted for review. The study is on the Davis Strait freshwater export in the 2010s.</p>
FESOM model data used in a study on simulated signatures of Greenland melting in the North Atlantic
<p>FESOM (v1.4) model data used in the paper 'Simulated signatures of Greenland melting in the North Atlantic: a model comparison with Argo floats, satellite observations, and ocean reanalysis’ (submitted to JGR Oceans for review) by Stolzenberger et al.</p> <p>The data set consists of monthly simulated potential temperature, salinity and sea surface elevation fields for high and low resolution, including (GF) and excluding (NGF) Greenland freshwater forcing, for the North Atlantic (NA, 50°N-86°N), and for the time period 1993-2016.</p> <p>Furthermore, steric height changes from the inversion output is available as time series for the time period 2002-2016.</p>
FESOM model results
<p>control: the hindcast simulation using interannually varying atmospheric forcing (IAVF).</p> <p>AO: In the Arctic Ocean the IAVF is used. Outside the Arctic Ocean the normal year forcing (NYF) is used. The NYF is repeatedly used for every year.</p> <p>nAO:In the Arctic Ocean the NYF is used. Outside the Arctic Ocean the IAVF is used.</p> <p>AO_w: the same as AO but the atmospheric buoyancy forcing in the Arctic Ocean is changed to the NYF.</p> <p>nAO_w: the same as nAO but the atmospheric buoyancy forcing outside the Arctic Ocean is changed to the NYF.</p> <p>vtransp: volume transport through Bering Strait.</p> <p>fwtransp: freshwater transport through Bering Strait.</p> <p>Htransp: heat transport through Bering Strait.</p> <p>slp_yr: annual mean sea level pressure.</p> <p>ssh_yr: annual mean sea surface high.</p> <p>Ekmantransp_tx: Ekman transport component in the x direction.</p> <p>Ekmantransp_ty: Ekman transport component in the y direction.</p> <p>min: years with low Bering Strait throughflow.</p> <p>max: years with high Bering Strait throughflow.</p> <p>temp_diff_0-50m: the difference of temperature between years with high and low Bering Strait throughflow.</p> <p>salt_diff_0-50m: the difference of salinity between years with high and low Bering Strait throughflow.</p>
FESOM model data for Atlantic Water inflow to the Arctic Ocean
<p>The FESOM model data used in a paper (Intensification of the Arctic Ocean warming by sea ice decline: The Nordic Seas as a switchyard) submitted to GRL for review.</p>
FESOM model data used in the study on the buffer zone for great salinity anomaly
<p>Model data used in the study on the buffer zone for great salinity anomaly</p>
FESOM-REcoM model data: 21st-century environmental change decreases habitat overlap of Antarctic toothfish (Dissostichus mawsoni) and its prey
<p>This data set belongs to "<strong>21st-century environmental change decreases habitat overlap of Antarctic toothfish (Dissostichus mawsoni) and its prey</strong>" by Cara Nissen, Jilda Alicia Caccavo and Anne L. Moree (accepted for publication in "Global Change Biology")</p> <p>Contact: cara.nissen@colorado.edu</p> <p>The data provided here are post-processed from the raw FESOM1.4-REcoM2 model output which can be obtained <br>at the World Data Center for Climate (WDCC): <a href="https://www.wdc-climate.de/ui/project?acronym=HighRes_highLat_SO">https://www.wdc-climate.de/ui/project?acronym=HighRes_highLat_SO</a></p> <p>simA (historical simulation): <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC</a><br>simA-ssp126: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC</a><br>simA-ssp245: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC</a><br>simA-ssp370: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC</a><br>simA-ssp585: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC</a><br>simB (control simulation): <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC</a></p> <p>The raw model output was first post-processed with <strong>MASTER_toothfish_postprocessing_AGI_save_netcdf_files_monthly_with_drift_correction.ipynb</strong> to get fields of in-situ temperature (t_insitu) and partial pressure of oxygen (pO2) on the regular grid used in this study (see <strong>Mesh_ancillary_information_v20220919.nc</strong>).</p> <p>Subsequently, these data are post-processed with <strong>reduce_depth_levels_drift_corr_files.sh</strong>. </p> <p>2-dimensional distribution data of Antarctic Toothfish prey used in this study can be accessed via<br><a href="https://doi.org/10.5281/zenodo.10598488">https://doi.org/10.5281/zenodo.10598488</a></p> <p><strong>The following files are provided here: </strong></p> <p><strong>Monthly climatological pO2 and t_insitu 1995-2014</strong> (used to compute preferred temperature, pO2 threshold and critical AGI of each species):<br>- pO2_fesom_simA_monthly_clim_1995_2014_v2.nc<br>- t_insitu_fesom_simA_monthly_clim_1995_2014_v2.nc</p> <p><strong>Annual pO2 and t_insitu for the historical period 1995-2014</strong>:<br>- pO2_fesom_historical_1995_2014_annual_mean_AGImesh.tar.gz<br>- t_insitu_historical_1995_2014_annual_mean_AGImesh.tar.gz</p> <p><strong>Drift-corrected annual pO2 and t_insitu 2091-2100 for four emission scenarios</strong>: <br>- pO2_fesom_ssp126_2091_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- pO2_fesom_ssp245_2091_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- pO2_fesom_ssp370_2091_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- pO2_fesom_ssp585_2091_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- t_insitu_fesom_ssp126_2091_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- t_insitu_fesom_ssp245_2091_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- t_insitu_fesom_ssp370_2091_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- t_insitu_fesom_ssp585_2091_2100_drift_corrected_annual_mean_AGImesh.tar.gz</p> <p><strong>Sensitivity to chosen future time period / Drift-corrected annual pO2 and t_insitu 2081-2100 and 2098-2100 for the highest-emission scenario SSP5-8.5</strong>: <br>- pO2_fesom_ssp585_2081_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- pO2_fesom_ssp585_2098_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- t_insitu_fesom_ssp585_2081_2100_drift_corrected_annual_mean_AGImesh.tar.gz<br>- t_insitu_fesom_ssp585_2098_2100_drift_corrected_annual_mean_AGImesh.tar.gz</p> <p><strong>Attributing change to warming and deoxygenation / Drift-corrected annual pO2 2091-2100 at clim. t_insitu for the highest-emission scenario SSP5-8.5</strong>:<br>- pO2_fesom_ssp585_2091_2100_drift_corrected_at_clim_t_insitu_annual_mean_AGImesh.tar.gz</p> <p><strong>Information on model drift</strong> (used to correct the above files): <br>- oxygen_fesom_simB_1995_2014_2091_2100_monthly.tar.gz<br>- pO2_fesom_simB_1995_2014_2091_2100_monthly.tar.gz<br>- salinity_fesom_simB_1995_2014_2091_2100_monthly.tar.gz<br>- t_insitu_fesom_simB_1995_2014_2091_2100_monthly.tar.gz</p>
Dataset of Fram Strait sea ice volume export from FESOM
<p>Model data of Fram Strait sea ice volume export and related data from FESOM. The model data consist of those used in figures of a manuscript submited to JGR: Arctic sea ice decline preconditions events of anomalously low sea ice volume export through Fram Strait in the early 21st century.</p>
FESOM output supporting stronger variability in the Arctic Ocean in a warming climate
<p>FESOM simulation results used in the manuscript "Stronger variability in the Arctic Ocean induced by sea ice decline in a warming climate".</p>
FESOM 2.0 computation of meridional overturning and barotropic streamfunctions
<p>The dataset as well as the Python code related to the article "Simple algorithms to compute meridional overturning and barotropic streamfunction on unstructured meshes" submitted to GMD, 2019</p>
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