Articles | Volume 14, issue 2
https://doi.org/10.5194/bg-14-403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-14-403-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Ideas and perspectives: climate-relevant marine biologically driven mechanisms in Earth system models
IHF, Center for Earth System Research and Sustainability, University of
Hamburg, Hamburg, Germany
Irene Stemmler
Max Planck Institute for Meteorology, Bundesstrasse 53, 20146
Hamburg, Germany
Sebastian Sonntag
Max Planck Institute for Meteorology, Bundesstrasse 53, 20146
Hamburg, Germany
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Cited
16 citations as recorded by crossref.
- A single-column ocean biogeochemistry model (GOTM–TOPAZ) version 1.0 H. Jung et al. 10.5194/gmd-12-699-2019
- Estimating the water-leaving albedo from ocean color X. Yu et al. 10.1016/j.rse.2021.112807
- Light absorption by marine cyanobacteria affects tropical climate mean state and variability H. Paulsen et al. 10.5194/esd-9-1283-2018
- Preface: Ernst Maier-Reimer and his way of modelling the ocean C. Heinze & K. Hasselmann 10.5194/bg-16-751-2019
- Dynamic partitioning of tropical Indian Ocean surface waters using ocean colour data — management and modelling applications J. Schwarz 10.1016/j.jenvman.2020.111308
- Quantitative and mechanistic understanding of the open ocean carbonate pump - perspectives for remote sensing and autonomous in situ observation G. Neukermans et al. 10.1016/j.earscirev.2023.104359
- Plant Physiology Increases the Magnitude and Spread of the Transient Climate Response to CO2 in CMIP6 Earth System Models C. Zarakas et al. 10.1175/JCLI-D-20-0078.1
- Modelling phytoplankton adaptation to global warming based on resurrection experiments J. Hinners et al. 10.1016/j.ecolmodel.2019.03.006
- Impacts of Albedo and Wind Stress Changes due to Phytoplankton on Ocean Temperature in a Coupled Global Ocean-biogeochemistry Model H. Jung & B. Moon 10.5467/JKESS.2019.40.4.392
- Coccolithophore growth and calcification in a changing ocean K. Krumhardt et al. 10.1016/j.pocean.2017.10.007
- An interactive ocean surface albedo scheme (OSAv1.0): formulation and evaluation in ARPEGE-Climat (V6.1) and LMDZ (V5A) R. Séférian et al. 10.5194/gmd-11-321-2018
- Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 R. Séférian et al. 10.1007/s40641-020-00160-0
- Metabolism of key atmospheric volatile organic compounds by the marine heterotrophic bacterium Pelagibacter HTCC1062 (SAR11) E. Moore et al. 10.1111/1462-2920.15837
- Porous marine snow differentially benefits chemotactic, motile, and nonmotile bacteria B. Borer et al. 10.1093/pnasnexus/pgac311
- Development and Assessment of NEMO(v3.6)-TOPAZ(v2), a Coupled Global Ocean Biogeochemistry Model H. Jung et al. 10.1007/s13143-019-00147-4
- Jigsaw puzzle of the interwoven biologically-driven ocean carbon pumps L. Legendre 10.1016/j.pocean.2024.103338
16 citations as recorded by crossref.
- A single-column ocean biogeochemistry model (GOTM–TOPAZ) version 1.0 H. Jung et al. 10.5194/gmd-12-699-2019
- Estimating the water-leaving albedo from ocean color X. Yu et al. 10.1016/j.rse.2021.112807
- Light absorption by marine cyanobacteria affects tropical climate mean state and variability H. Paulsen et al. 10.5194/esd-9-1283-2018
- Preface: Ernst Maier-Reimer and his way of modelling the ocean C. Heinze & K. Hasselmann 10.5194/bg-16-751-2019
- Dynamic partitioning of tropical Indian Ocean surface waters using ocean colour data — management and modelling applications J. Schwarz 10.1016/j.jenvman.2020.111308
- Quantitative and mechanistic understanding of the open ocean carbonate pump - perspectives for remote sensing and autonomous in situ observation G. Neukermans et al. 10.1016/j.earscirev.2023.104359
- Plant Physiology Increases the Magnitude and Spread of the Transient Climate Response to CO2 in CMIP6 Earth System Models C. Zarakas et al. 10.1175/JCLI-D-20-0078.1
- Modelling phytoplankton adaptation to global warming based on resurrection experiments J. Hinners et al. 10.1016/j.ecolmodel.2019.03.006
- Impacts of Albedo and Wind Stress Changes due to Phytoplankton on Ocean Temperature in a Coupled Global Ocean-biogeochemistry Model H. Jung & B. Moon 10.5467/JKESS.2019.40.4.392
- Coccolithophore growth and calcification in a changing ocean K. Krumhardt et al. 10.1016/j.pocean.2017.10.007
- An interactive ocean surface albedo scheme (OSAv1.0): formulation and evaluation in ARPEGE-Climat (V6.1) and LMDZ (V5A) R. Séférian et al. 10.5194/gmd-11-321-2018
- Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 R. Séférian et al. 10.1007/s40641-020-00160-0
- Metabolism of key atmospheric volatile organic compounds by the marine heterotrophic bacterium Pelagibacter HTCC1062 (SAR11) E. Moore et al. 10.1111/1462-2920.15837
- Porous marine snow differentially benefits chemotactic, motile, and nonmotile bacteria B. Borer et al. 10.1093/pnasnexus/pgac311
- Development and Assessment of NEMO(v3.6)-TOPAZ(v2), a Coupled Global Ocean Biogeochemistry Model H. Jung et al. 10.1007/s13143-019-00147-4
- Jigsaw puzzle of the interwoven biologically-driven ocean carbon pumps L. Legendre 10.1016/j.pocean.2024.103338
Discussed (preprint)
Latest update: 25 Dec 2024
Short summary
Marine biota drives a number of climate-relevant mechanisms, not all of which are included in current Earth system models (ESMs) used for climate projections. We identify three classes of mechanisms and argue that, to adequately resolve these mechanisms and to ensure links to and feedbacks with other Earth system components, ESMs need to account for five marine organism groups.
Marine biota drives a number of climate-relevant mechanisms, not all of which are included in...
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