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11 results for “RECOM”
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>
RECOMS data - Packages 1-3
<p>Data package 1: Gent case study</p> <p>Data package 2: Woluwe case study </p> <p>Data package 3 : Practitioners workshops</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>
RECOMS_ESR13_FieldWork_072019
<p>This dataset contains interview transcripts and fieldnotes generated in the frame of my doctoral project, which seeks to put into dialogue the lived experiences of the aging peasants and the Chinese party-state’s narratives and the locally implemented programs they legitimize. The dataset also includes supporting files - a readme, a metadata sheet, and the transcription protocol used - which I recommend reading first for a better overview of the dataset. </p> <p>The project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 765389.<br> </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>
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>
RECOMS_ESR02
<p>The uploaded data is Text & still images that go under the thematic focus of general health & wellbeing.<br> Key words: Agroecology, mothers, health </p> <p> </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 for RECOMS ESR01
<p>Dataset for RECOMS ESR01</p>
Study of the Prevalence of Complications Occurring in the Mother-newborn Couple During the First Month After Returning Home, Since the Introduction of Standard Outpatients (According to HAS 2014 Recom
ClinicalTrials.gov study NCT03114930. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Test 1 using ReCom files as input
Open the record for dataset details and reuse information.
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Allen Brain Atlas
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