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4,140 Research products

  • European Marine Science
  • 2014-2023
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  • European Marine Science

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Trouche, Blandine;

    Anvi'o databases of the 47 ammonia-oxidizing archaea MAGs from abyssal and hadal surface sediments presented in Trouche et al, 2023 (https://doi.org/10.1038/s43705-023-00341-6). 

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Other ORP type . 2023
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      ZENODO
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    Authors: Athanase, Marylou; Wang, Qiang; Danilov, Sergey; Sidorenko, Dmitry; +5 Authors

    Source code of the Finite Element Sea ice-Ocean Model version 1.4 (FESOM v1.4) used in the coupled climate model AWI-CM-1-1-MR to produce the nudged storyline simulations presented in the paper entitled "Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean", Athanase et al. (Communications Earth & Environment). For the source code of ECHAM6, registration on the MPI-ESM user page is required (http://www.mpimet.mpg.de/en/science/models/license/).

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      ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Wang, Siyuan; Zhang, Futing; Koedooder, Coco; Qafoku, Odeta; +8 Authors

    The uploaded file contains three separate Python scripts aimed at modeling the sinking velocity of natural Trichodesmium colonies loaded with dust particles. Two scripts have been developed to calculate the dust influencing factor (K), and one script is dedicated to calculating the sinking velocity of particle-free Trichodesmium colonies (v0). All Python scripts are available on GitHub (https://github.com/Zhanzhu1110/Trichobuoyancy.git) and can be processed using the "Codespaces" function on GitHub. The file 'K given values' is a specialized script designed to simulate the dust factor (K), assuming seawater and dust densities of 1028 kg/m3 and 2500 kg/m3, respectively, with a colony radius of 1 mm.

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      ZENODO
      Model . 2023
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    Authors: Daniel Moreno-Parada; Alexander Robinson; Marisa Montoya; Jorge Alvarez-Solas;

    We present the ice-sheet model Nix, an open-source project intended for collaborative development. Nix is a 2D thermomechanical model written in C/C++ that simultaneously solves for the momentum balance equations, mass conservation and temperature evolution.

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    ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Reese, Lloyd; Gräwe, Ulf; Klingbeil, Knut; Li, Xiangyu; +2 Authors

    Supporting Python scripts used for data processing for Reese et al. (2023): "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" [1]. River discharge information and topography as used for the numerical tidal Elbe setup applied in the same study. Contains: riverinfo.dat -- river and tributary freshwater input grid locations as grid cell indices rivers.nc -- freshwater forcing used in setup, contains sources from all included tributaries and Geesthacht. Data retrieved from [2,3,4] in combination with personal communication via the Bundesanstalt für Wasserbau (BAW). topo_smoothed_v20_z0.nc -- setup topography and curvilinear grid. Topography created from datasets [5,6], for the latter see also [7]. Python scripts used for the creation of the figures, namely: fig2: Figure 2 fig3: Figure 3 fig4: Figure 4 and Table 1 data fig5: Figure 5 and Table 2 salt data fig6: Figure 6 fig7-8: Figures 7,8 fig9: Figure 9 fig10: Figure 10 fig11: Figure 11 plot_salt_tidally-resolved: Tidally resolved stratification, not shown in paper plot_temperature_correlation_section2e: Correlation of observed and simulated temperature at same stations as Figure 5 (not shown) and Table 2 temperature data The model data used for the figures and loaded within the Python scripts is available from the corresponding author of the study [1]. Note that *paper_plot_forcing_validation.py, *paper_plot_tidal_analysis.py, and *paper_plot_salinity_correlation.py require observational data that is freely available via portal-tideelbe.de; for in-depth documentation see [1]. *paper_plot_forcing_validation.py additionally requires meteorological forcing data for the first figure panel, which cannot be made public due to its proprietary nature. The use of shapefiles to colour landmasses and plot the coastline in Figures 2, 6, and 11 has to be commented out in the respective Python scripts due to unclear copyright regarding the underlying data. However, omission of these shapefiles does not change the interpretation of the model results. ---- [1] L. Reese, U. Graewe, K. Klingbeil, X. Li, M. Lorenz, H. Burchard, 2023: Local mixing determines spatial structure of diahaline exchange flow in a mesotidal estuary – a study of extreme runoff conditions. J. Phys. Oceanogr., submitted. [2] Wasserstraßen- und Schifffahrtsamt Magdeburg, 2021: Abflussstation Neu Darchau. Wasserstraßen- und Schifffahrtsverwaltung des Bundes, accessed 10 March 2021, http://www.portal-tideelbe.de. [3] Landesamt für Landwirtschaft, Umwelt und ländliche Räume Schleswig-Holstein, 2022: Daily averaged freshwater runoff at Kellinghusen-Parkplatz and Kölln-Reisiek A23, 2012–2014. Hochwasser- und Sturmflutinformation Schleswig-Holstein, accessed 2 February 2022, https://www.umweltdaten.landsh.de/pegel/jsp/pegel.jsp?gui=ganglinie&thema=q&mstnr=114377;https://www.umweltdaten.landsh.de/pegel/jsp/pegel.jsp?mstnr=114527&wsize=free. [4] Niedersächsicher Landesbetrieb für Wasserwirtschaft, Küsten- und Naturschutz, 2022: Daily averaged freshwater runoff at gauges no. 5963101 (Oersdorf), 5945125 (Bienenbüttel), 5983110 (Rockstedt), and 5972105 (Schwinge), 2012–2014. Niedersächsische Landesdatenbank für wasserwirtschaftliche Daten, accessed 27 April 2022, http://www.wasserdaten.niedersachsen.de/cadenza/pages/home/welcome.xhtml. [5] Wasserstraßen- und Schifffahrtsamt Hamburg, 2011: DGM-W 2010 Unter- und Außenelbe (Digitales Geländemodell des Wasserlaufes - Multifunktionsmodell). Wasserstraßen- und Schifffahrtsverwaltung des Bundes, accessed 12 January 2021, https://www.kuestendaten.de/Tideelbe/DE/Service/Kartenthemen/Kartenthemen_node.html [6] Bundesamt für Seeschifffahrt und Hydrographie, 2019: AufMod Bathymetries German Bight 1982-2012 - WMS. Wasserstraßen- und Schifffahrtsverwaltung des Bundes, accessed 28 May 2013, https://gdk.gdi-de.org/geonetwork/srv/api/records/3543c490-d251-4948-830c-1da723a1a8eb. [7] Heyer, H., and K. Schrottke, 2015: Einführung, Aufgabenstellung und Bearbeitungsstruktur im KFKI-Projekt AufMod. Die Küste, 83, 1–18, ISBN: 978-3-939230-40-3.

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    ZENODO
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    Authors: Martínez Moreno, Josué;

    This dataset includes the NEMO 4.0.2 configuration used and analysed in the paper titled "Eddy-driven heterogeneity in sea ice during the ice-growth season". The output data is approximately 4TB for the 3 idealised configuration used in the manuscript, thus we opted to distribute the configuration. Note: The initial conditions for each simulation are compressed into the file `init_cond.zip` The configuration for one of the simulations is compressed in the file `config.zip` In order to reproduce all the runs, it's only required to change the initial conditions in the file namelist_cfg and namelist_ice_cfg. Further information and scripts to reproduce the result of the manuscript can be found at: https://github.com/josuemtzmo/Ice_formation

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    Authors: Schlindwein, Vera;
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    Authors: Glückler, Ramesh;

    In Sibirien wüteten in den letzten Jahren große Waldbrände. Neben der Bedrohung, die sie für menschliche Aktivitäten und Infrastruktur darstellen, könnten sie bei zunehmender Intensität und Frequenz auch eine einzigartige, von Permafrost geprägte Landschaft nachhaltig destabilisieren. Um mögliche Wechselwirkungen zwischen zunehmender Waldbrandaktivität und Waldstruktur auf langen Zeitskalen zu verstehen, werfen paläoökologisch Forschende einen Blick unter Wasser: In über lange Zeit abgelagerten Seesedimenten geben Verbrennungsprodukte Einblick in Waldbrandaktivitäten längst vergangener Zeiten.

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    Authors: Banerjee, Tridib; Danilov, Sergey; Scholz, Patrick; Klingbeil, Knut; +1 Authors

    FESOM2.5 code with preliminary implementation of the Split-Explicit external mode solver. This project is a contribution to the projects M5 (Reducing spurious mixing and energetic inconsistencies in realistic ocean modelling applications) and S2 (Improved parameterisations and numerics in climate models) of the Collaborative Research Centre TRR 181 "Energy Transfer in Atmosphere and Ocean" funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Projektnummer 274762653.

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    Authors: Hanfland, Claudia; Dreutter, Simon; Schewe, Ingo;
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    Authors: Trouche, Blandine;

    Anvi'o databases of the 47 ammonia-oxidizing archaea MAGs from abyssal and hadal surface sediments presented in Trouche et al, 2023 (https://doi.org/10.1038/s43705-023-00341-6). 

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    Authors: Athanase, Marylou; Wang, Qiang; Danilov, Sergey; Sidorenko, Dmitry; +5 Authors

    Source code of the Finite Element Sea ice-Ocean Model version 1.4 (FESOM v1.4) used in the coupled climate model AWI-CM-1-1-MR to produce the nudged storyline simulations presented in the paper entitled "Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean", Athanase et al. (Communications Earth & Environment). For the source code of ECHAM6, registration on the MPI-ESM user page is required (http://www.mpimet.mpg.de/en/science/models/license/).

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    Authors: Wang, Siyuan; Zhang, Futing; Koedooder, Coco; Qafoku, Odeta; +8 Authors

    The uploaded file contains three separate Python scripts aimed at modeling the sinking velocity of natural Trichodesmium colonies loaded with dust particles. Two scripts have been developed to calculate the dust influencing factor (K), and one script is dedicated to calculating the sinking velocity of particle-free Trichodesmium colonies (v0). All Python scripts are available on GitHub (https://github.com/Zhanzhu1110/Trichobuoyancy.git) and can be processed using the "Codespaces" function on GitHub. The file 'K given values' is a specialized script designed to simulate the dust factor (K), assuming seawater and dust densities of 1028 kg/m3 and 2500 kg/m3, respectively, with a colony radius of 1 mm.

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    Authors: Daniel Moreno-Parada; Alexander Robinson; Marisa Montoya; Jorge Alvarez-Solas;

    We present the ice-sheet model Nix, an open-source project intended for collaborative development. Nix is a 2D thermomechanical model written in C/C++ that simultaneously solves for the momentum balance equations, mass conservation and temperature evolution.

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    Authors: Reese, Lloyd; Gräwe, Ulf; Klingbeil, Knut; Li, Xiangyu; +2 Authors

    Supporting Python scripts used for data processing for Reese et al. (2023): "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" [1]. River discharge information and topography as used for the numerical tidal Elbe setup applied in the same study. Contains: riverinfo.dat -- river and tributary freshwater input grid locations as grid cell indices rivers.nc -- freshwater forcing used in setup, contains sources from all included tributaries and Geesthacht. Data retrieved from [2,3,4] in combination with personal communication via the Bundesanstalt für Wasserbau (BAW). topo_smoothed_v20_z0.nc -- setup topography and curvilinear grid. Topography created from datasets [5,6], for the latter see also [7]. Python scripts used for the creation of the figures, namely: fig2: Figure 2 fig3: Figure 3 fig4: Figure 4 and Table 1 data fig5: Figure 5 and Table 2 salt data fig6: Figure 6 fig7-8: Figures 7,8 fig9: Figure 9 fig10: Figure 10 fig11: Figure 11 plot_salt_tidally-resolved: Tidally resolved stratification, not shown in paper plot_temperature_correlation_section2e: Correlation of observed and simulated temperature at same stations as Figure 5 (not shown) and Table 2 temperature data The model data used for the figures and loaded within the Python scripts is available from the corresponding author of the study [1]. Note that *paper_plot_forcing_validation.py, *paper_plot_tidal_analysis.py, and *paper_plot_salinity_correlation.py require observational data that is freely available via portal-tideelbe.de; for in-depth documentation see [1]. *paper_plot_forcing_validation.py additionally requires meteorological forcing data for the first figure panel, which cannot be made public due to its proprietary nature. The use of shapefiles to colour landmasses and plot the coastline in Figures 2, 6, and 11 has to be commented out in the respective Python scripts due to unclear copyright regarding the underlying data. However, omission of these shapefiles does not change the interpretation of the model results. ---- [1] L. Reese, U. Graewe, K. Klingbeil, X. Li, M. Lorenz, H. Burchard, 2023: Local mixing determines spatial structure of diahaline exchange flow in a mesotidal estuary – a study of extreme runoff conditions. J. Phys. Oceanogr., submitted. [2] Wasserstraßen- und Schifffahrtsamt Magdeburg, 2021: Abflussstation Neu Darchau. Wasserstraßen- und Schifffahrtsverwaltung des Bundes, accessed 10 March 2021, http://www.portal-tideelbe.de. [3] Landesamt für Landwirtschaft, Umwelt und ländliche Räume Schleswig-Holstein, 2022: Daily averaged freshwater runoff at Kellinghusen-Parkplatz and Kölln-Reisiek A23, 2012–2014. Hochwasser- und Sturmflutinformation Schleswig-Holstein, accessed 2 February 2022, https://www.umweltdaten.landsh.de/pegel/jsp/pegel.jsp?gui=ganglinie&thema=q&mstnr=114377;https://www.umweltdaten.landsh.de/pegel/jsp/pegel.jsp?mstnr=114527&wsize=free. [4] Niedersächsicher Landesbetrieb für Wasserwirtschaft, Küsten- und Naturschutz, 2022: Daily averaged freshwater runoff at gauges no. 5963101 (Oersdorf), 5945125 (Bienenbüttel), 5983110 (Rockstedt), and 5972105 (Schwinge), 2012–2014. Niedersächsische Landesdatenbank für wasserwirtschaftliche Daten, accessed 27 April 2022, http://www.wasserdaten.niedersachsen.de/cadenza/pages/home/welcome.xhtml. [5] Wasserstraßen- und Schifffahrtsamt Hamburg, 2011: DGM-W 2010 Unter- und Außenelbe (Digitales Geländemodell des Wasserlaufes - Multifunktionsmodell). Wasserstraßen- und Schifffahrtsverwaltung des Bundes, accessed 12 January 2021, https://www.kuestendaten.de/Tideelbe/DE/Service/Kartenthemen/Kartenthemen_node.html [6] Bundesamt für Seeschifffahrt und Hydrographie, 2019: AufMod Bathymetries German Bight 1982-2012 - WMS. Wasserstraßen- und Schifffahrtsverwaltung des Bundes, accessed 28 May 2013, https://gdk.gdi-de.org/geonetwork/srv/api/records/3543c490-d251-4948-830c-1da723a1a8eb. [7] Heyer, H., and K. Schrottke, 2015: Einführung, Aufgabenstellung und Bearbeitungsstruktur im KFKI-Projekt AufMod. Die Küste, 83, 1–18, ISBN: 978-3-939230-40-3.

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    Authors: Martínez Moreno, Josué;

    This dataset includes the NEMO 4.0.2 configuration used and analysed in the paper titled "Eddy-driven heterogeneity in sea ice during the ice-growth season". The output data is approximately 4TB for the 3 idealised configuration used in the manuscript, thus we opted to distribute the configuration. Note: The initial conditions for each simulation are compressed into the file `init_cond.zip` The configuration for one of the simulations is compressed in the file `config.zip` In order to reproduce all the runs, it's only required to change the initial conditions in the file namelist_cfg and namelist_ice_cfg. Further information and scripts to reproduce the result of the manuscript can be found at: https://github.com/josuemtzmo/Ice_formation

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Model . 2023
      License: CC BY
      Data sources: ZENODO