Articles | Volume 12, issue 4
https://doi.org/10.5194/gmd-12-1491-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-12-1491-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
16 Apr 2019
Model description paper |
| 16 Apr 2019
| 16 Apr 2019
Ocean carbon and nitrogen isotopes in CSIRO Mk3L-COAL version 1.0: a tool for palaeoceanographic research
Pearse J. Buchanan
CORRESPONDING AUTHOR
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
CSIRO Oceans and Atmosphere, CSIRO Marine Laboratories, G.P.O. Box 1538, Hobart, Tasmania, Australia
ARC Centre of Excellence in Climate System Science, Hobart, Tasmania, Australia
now at: the Department of Earth, Ocean and Ecological Sciences, University of Liverpool, Liverpool, UK
Richard J. Matear
CSIRO Oceans and Atmosphere, CSIRO Marine Laboratories, G.P.O. Box 1538, Hobart, Tasmania, Australia
ARC Centre of Excellence in Climate System Science, Hobart, Tasmania, Australia
Zanna Chase
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
Steven J. Phipps
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
Nathan L. Bindoff
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
CSIRO Oceans and Atmosphere, CSIRO Marine Laboratories, G.P.O. Box 1538, Hobart, Tasmania, Australia
ARC Centre of Excellence in Climate System Science, Hobart, Tasmania, Australia
Antarctic Climate and Ecosystems Cooperative Research Centre, Hobart, Tasmania, Australia
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Johann H. Jungclaus, Edouard Bard, Mélanie Baroni, Pascale Braconnot, Jian Cao, Louise P. Chini, Tania Egorova, Michael Evans, J. Fidel González-Rouco, Hugues Goosse, George C. Hurtt, Fortunat Joos, Jed O. Kaplan, Myriam Khodri, Kees Klein Goldewijk, Natalie Krivova, Allegra N. LeGrande, Stephan J. Lorenz, Jürg Luterbacher, Wenmin Man, Amanda C. Maycock, Malte Meinshausen, Anders Moberg, Raimund Muscheler, Christoph Nehrbass-Ahles, Bette I. Otto-Bliesner, Steven J. Phipps, Julia Pongratz, Eugene Rozanov, Gavin A. Schmidt, Hauke Schmidt, Werner Schmutz, Andrew Schurer, Alexander I. Shapiro, Michael Sigl, Jason E. Smerdon, Sami K. Solanki, Claudia Timmreck, Matthew Toohey, Ilya G. Usoskin, Sebastian Wagner, Chi-Ju Wu, Kok Leng Yeo, Davide Zanchettin, Qiong Zhang, and Eduardo Zorita
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Bette L. Otto-Bliesner, Pascale Braconnot, Sandy P. Harrison, Daniel J. Lunt, Ayako Abe-Ouchi, Samuel Albani, Patrick J. Bartlein, Emilie Capron, Anders E. Carlson, Andrea Dutton, Hubertus Fischer, Heiko Goelzer, Aline Govin, Alan Haywood, Fortunat Joos, Allegra N. LeGrande, William H. Lipscomb, Gerrit Lohmann, Natalie Mahowald, Christoph Nehrbass-Ahles, Francesco S. R. Pausata, Jean-Yves Peterschmitt, Steven J. Phipps, Hans Renssen, and Qiong Zhang
Geosci. Model Dev., 10, 3979–4003, https://doi.org/10.5194/gmd-10-3979-2017, https://doi.org/10.5194/gmd-10-3979-2017, 2017
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Rachel M. Law, Tilo Ziehn, Richard J. Matear, Andrew Lenton, Matthew A. Chamberlain, Lauren E. Stevens, Ying-Ping Wang, Jhan Srbinovsky, Daohua Bi, Hailin Yan, and Peter F. Vohralik
Geosci. Model Dev., 10, 2567–2590, https://doi.org/10.5194/gmd-10-2567-2017, https://doi.org/10.5194/gmd-10-2567-2017, 2017
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Tilo Ziehn, Andrew Lenton, Rachel M. Law, Richard J. Matear, and Matthew A. Chamberlain
Geosci. Model Dev., 10, 2591–2614, https://doi.org/10.5194/gmd-10-2591-2017, https://doi.org/10.5194/gmd-10-2591-2017, 2017
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Geosci. Model Dev., 10, 2169–2199, https://doi.org/10.5194/gmd-10-2169-2017, https://doi.org/10.5194/gmd-10-2169-2017, 2017
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Serena Schroeter, Will Hobbs, and Nathaniel L. Bindoff
The Cryosphere, 11, 789–803, https://doi.org/10.5194/tc-11-789-2017, https://doi.org/10.5194/tc-11-789-2017, 2017
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Observed trends of Antarctic sea ice are not reproduced by global climate models. We examine observed and simulated interactions between sea ice and large-scale atmospheric variability, showing that global climate models generally capture observed interactions during the season of sea ice advance, but not during sea ice retreat. Most models overestimate the zonally symmetric influence of the dominant atmospheric mode on sea ice, while the importance of tropical variability is underestimated.
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Emlyn M. Jones, Mark E. Baird, Mathieu Mongin, John Parslow, Jenny Skerratt, Jenny Lovell, Nugzar Margvelashvili, Richard J. Matear, Karen Wild-Allen, Barbara Robson, Farhan Rizwi, Peter Oke, Edward King, Thomas Schroeder, Andy Steven, and John Taylor
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Bette L. Otto-Bliesner, Pascale Braconnot, Sandy P. Harrison, Daniel J. Lunt, Ayako Abe-Ouchi, Samuel Albani, Patrick J. Bartlein, Emilie Capron, Anders E. Carlson, Andrea Dutton, Hubertus Fischer, Heiko Goelzer, Aline Govin, Alan Haywood, Fortunat Joos, Allegra N. Legrande, William H. Lipscomb, Gerrit Lohmann, Natalie Mahowald, Christoph Nehrbass-Ahles, Jean-Yves Peterschmidt, Francesco S.-R. Pausata, Steven Phipps, and Hans Renssen
Clim. Past Discuss., https://doi.org/10.5194/cp-2016-106, https://doi.org/10.5194/cp-2016-106, 2016
Preprint retracted
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The Cryosphere, 10, 2317–2328, https://doi.org/10.5194/tc-10-2317-2016, https://doi.org/10.5194/tc-10-2317-2016, 2016
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We explore the effects of melting of the East Antarctic Ice Sheet on the Southern Ocean. Using a climate model, we find that melting changes the ocean circulation and causes warming of more than 1 °C at depth. We also discover the potential existence of a "domino effect", whereby the initial warming spreads westwards around the Antarctic continent. Melting of just one sector could therefore destabilise the wider Antarctic Ice Sheet, leading to substantial increases in global sea level.
Andrew Lenton, Bronte Tilbrook, Richard J. Matear, Tristan P. Sasse, and Yukihiro Nojiri
Biogeosciences, 13, 1753–1765, https://doi.org/10.5194/bg-13-1753-2016, https://doi.org/10.5194/bg-13-1753-2016, 2016
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Paulina Cetina-Heredia, Erik van Sebille, Richard Matear, and Moninya Roughan
Biogeosciences Discuss., https://doi.org/10.5194/bg-2016-53, https://doi.org/10.5194/bg-2016-53, 2016
Revised manuscript not accepted
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Characterizing phytoplankton growth influences fisheries and climate. We use a lagrangian approach to identify phytoplankton blooms in the Great Australian Bight (GAB), and associate them with nitrate sources. We find that 88 % of the nitrate utilized in blooms is originated between the GAB and the SubAntarctic Front. Large nitrate concentrations are supplied at depth but do not reach the euphotic zone often. As a result, 55 % of blooms utilize nitrate supplied in the top 100 m.
X. Zhang, P. R. Oke, M. Feng, M. A. Chamberlain, J. A. Church, D. Monselesan, C. Sun, R. J. Matear, A. Schiller, and R. Fiedler
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2016-17, https://doi.org/10.5194/gmd-2016-17, 2016
Revised manuscript not accepted
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Eddy-resolving global ocean models are highly desired, but expensive to run, and also subject to many problems including drift. Here we modified a near-global eddy-resolving OGCM for climate studies with some novel strategies. We demonstrated that the historical experiment driven by Japanese atmospheric reanalysis product, didn't have significant drifts, and also provided an eddy-resolving simulation of the global ocean over 1979–2014. Our experiences can be helpful to other modelling groups.
B. Kravitz, A. Robock, S. Tilmes, O. Boucher, J. M. English, P. J. Irvine, A. Jones, M. G. Lawrence, M. MacCracken, H. Muri, J. C. Moore, U. Niemeier, S. J. Phipps, J. Sillmann, T. Storelvmo, H. Wang, and S. Watanabe
Geosci. Model Dev., 8, 3379–3392, https://doi.org/10.5194/gmd-8-3379-2015, https://doi.org/10.5194/gmd-8-3379-2015, 2015
T. P. Sasse, B. I. McNeil, R. J. Matear, and A. Lenton
Biogeosciences, 12, 6017–6031, https://doi.org/10.5194/bg-12-6017-2015, https://doi.org/10.5194/bg-12-6017-2015, 2015
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P. G. Strutton, V. J. Coles, R. R. Hood, R. J. Matear, M. J. McPhaden, and H. E. Phillips
Biogeosciences, 12, 2367–2382, https://doi.org/10.5194/bg-12-2367-2015, https://doi.org/10.5194/bg-12-2367-2015, 2015
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In 2010, a first-of-its-kind deployment of biological sensors on a mooring in the central Indian Ocean revealed interesting variability in chlorophyll (a proxy for ocean productivity) at timescales of about 2 weeks. Using the mooring data with satellite observations and a biogeochemical model, it was determined that local wind mixing and entrainment, rather than mixed Rossby gravity waves, were likely responsible for much of the observed variability.
R. J. Matear, A. Lenton, D. Etheridge, and S. J. Phipps
Clim. Past Discuss., https://doi.org/10.5194/cpd-11-1093-2015, https://doi.org/10.5194/cpd-11-1093-2015, 2015
Revised manuscript has not been submitted
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Global climate models provide an important tool for simulating the earth's climate. Here we present a simulation of the climate of the Last Glacial Maximum, which was obtained by setting atmospheric greenhouse gas concentrations and the earth's orbital parameters to the 21 000 years before present values. We simulate an ocean behaviour that agrees with paleoclimate reconstructions supporting our ability to model the climate system and use the model to explore the impacts on the carbon cycle.
R. J. Matear and A. Lenton
Biogeosciences, 11, 3965–3983, https://doi.org/10.5194/bg-11-3965-2014, https://doi.org/10.5194/bg-11-3965-2014, 2014
U. Heikkilä, X. Shi, S. J. Phipps, and A. M. Smith
Clim. Past, 10, 687–696, https://doi.org/10.5194/cp-10-687-2014, https://doi.org/10.5194/cp-10-687-2014, 2014
O. Duteil, W. Koeve, A. Oschlies, D. Bianchi, E. Galbraith, I. Kriest, and R. Matear
Biogeosciences, 10, 7723–7738, https://doi.org/10.5194/bg-10-7723-2013, https://doi.org/10.5194/bg-10-7723-2013, 2013
U. Heikkilä, S. J. Phipps, and A. M. Smith
Clim. Past, 9, 2641–2649, https://doi.org/10.5194/cp-9-2641-2013, https://doi.org/10.5194/cp-9-2641-2013, 2013
A. Lenton, B. Tilbrook, R. M. Law, D. Bakker, S. C. Doney, N. Gruber, M. Ishii, M. Hoppema, N. S. Lovenduski, R. J. Matear, B. I. McNeil, N. Metzl, S. E. Mikaloff Fletcher, P. M. S. Monteiro, C. Rödenbeck, C. Sweeney, and T. Takahashi
Biogeosciences, 10, 4037–4054, https://doi.org/10.5194/bg-10-4037-2013, https://doi.org/10.5194/bg-10-4037-2013, 2013
P. R. Oke, D. A. Griffin, A. Schiller, R. J. Matear, R. Fiedler, J. Mansbridge, A. Lenton, M. Cahill, M. A. Chamberlain, and K. Ridgway
Geosci. Model Dev., 6, 591–615, https://doi.org/10.5194/gmd-6-591-2013, https://doi.org/10.5194/gmd-6-591-2013, 2013
B. I. McNeil and R. J. Matear
Biogeosciences, 10, 2219–2228, https://doi.org/10.5194/bg-10-2219-2013, https://doi.org/10.5194/bg-10-2219-2013, 2013
O. D. Andrews, N. L. Bindoff, P. R. Halloran, T. Ilyina, and C. Le Quéré
Biogeosciences, 10, 1799–1813, https://doi.org/10.5194/bg-10-1799-2013, https://doi.org/10.5194/bg-10-1799-2013, 2013
Related subject area
Oceanography
A new global high-resolution wave model for the tropical ocean using WAVEWATCH III version 7.14
sedInterFoam 1.0: a three-phase numerical model for sediment transport applications with free surfaces
The Ross Sea and Amundsen Sea Ice–Sea Model (RAISE v1.0): a high-resolution ocean–sea ice–ice shelf coupling model for simulating the Dense Shelf Water and Antarctic Bottom Water in the Ross Sea, Antarctica
Sensitivity of the tropical Atlantic to vertical mixing in two ocean models (ICON-O v2.6.6 and FESOM v2.5)
HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures
A wave-resolving two-dimensional vertical Lagrangian approach to model microplastic transport in nearshore waters based on TrackMPD 3.0
HOTSSea v1: a NEMO-based physical Hindcast of the Salish Sea (1980–2018) supporting ecosystem model development
DalROMS-NWA12 v1.0, a coupled circulation–ice–biogeochemistry modelling system for the northwest Atlantic Ocean: development and validation
A revised ocean mixed layer model for better simulating the diurnal variation in ocean skin temperature
Evaluating an accelerated forcing approach for improving computational efficiency in coupled ice sheet–ocean modelling
An optimal transformation method for inferring ocean tracer sources and sinks
PPCon 1.0: Biogeochemical-Argo profile prediction with 1D convolutional networks
Updates to the Met Office’s global ocean-sea ice forecasting system including model and data assimilation changes
Using automatic calibration to improve the physics behind complex numerical models: An example from a 3D lake model using Delft3d (v6.02.10) and DYNO-PODS (v1.0)
An Effective Communication Topology for Performance Optimization: A Case Study of the Finite Volume WAve Modeling (FVWAM)
Experimental design for the Marine Ice Sheet–Ocean Model Intercomparison Project – phase 2 (MISOMIP2)
Development of a total variation diminishing (TVD) sea ice transport scheme and its application in an ocean (SCHISM v5.11) and sea ice (Icepack v1.3.4) coupled model on unstructured grids
Spurious numerical mixing under strong tidal forcing: a case study in the south-east Asian seas using the Symphonie model (v3.1.2)
Modelling the water isotope distribution in the Mediterranean Sea using a high-resolution oceanic model (NEMO-MED12-watiso v1.0): evaluation of model results against in situ observations
LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry
GREAT v1.0: Global Real-time Early Assessment of Tsunamis
Towards a real-time modeling of global ocean waves by the fully GPU-accelerated spectral wave model WAM6-GPU v1.0
A simple approach to represent precipitation-derived freshwater fluxes into nearshore ocean models: an FVCOM4.1 case study of Quatsino Sound, British Columbia
An optimal transformation method applied to diagnose the ocean carbon budget
Implementation and assessment of a model including mixotrophs and the carbonate cycle (Eco3M_MIX-CarbOx v1.0) in a highly dynamic Mediterranean coastal environment (Bay of Marseille, France) – Part 2: Towards a better representation of total alkalinity when modeling the carbonate system and air–sea CO2 fluxes
Development of a novel storm surge inundation model framework for efficient prediction
Skin sea surface temperature schemes in coupled ocean–atmosphere modelling: the impact of chlorophyll-interactive e-folding depth
Resolution dependence of interlinked Southern Ocean biases in global coupled HadGEM3 models
DELWAVE 1.0: deep learning surrogate model of surface wave climate in the Adriatic Basin
StraitFlux – precise computations of water strait fluxes on various modeling grids
Comparison of the Coastal and Regional Ocean COmmunity model (CROCO) and NCAR-LES in non-hydrostatic simulations
Intercomparisons of Tracker v1.1 and four other ocean particle-tracking software packages in the Regional Ocean Modeling System
CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean archipelago
Implementation of additional spectral wave field exchanges in a three-dimensional wave–current coupled WAVEWATCH-III (version 6.07) and CROCO (version 1.2) configuration: assessment of their implications for macro-tidal coastal hydrodynamics
Comparison of 4-dimensional variational and ensemble optimal interpolation data assimilation systems using a Regional Ocean Modeling System (v3.4) configuration of the eddy-dominated East Australian Current system
LOCATE v1.0: numerical modelling of floating marine debris dispersion in coastal regions using Parcels v2.4.2
New insights into the South China Sea throughflow and water budget seasonal cycle: evaluation and analysis of a high-resolution configuration of the ocean model SYMPHONIE version 2.4
MQGeometry-1.0: a multi-layer quasi-geostrophic solver on non-rectangular geometries
Parameter estimation for ocean background vertical diffusivity coefficients in the Community Earth System Model (v1.2.1) and its impact on El Niño–Southern Oscillation forecasts
Great Lakes wave forecast system on high-resolution unstructured meshes
Impact of increased resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2)
A high-resolution physical–biogeochemical model for marine resource applications in the northwest Atlantic (MOM6-COBALT-NWA12 v1.0)
A flexible z-layers approach for the accurate representation of free surface flows in a coastal ocean model (SHYFEM v. 7_5_71)
Implementation and assessment of a model including mixotrophs and the carbonate cycle (Eco3M_MIX-CarbOx v1.0) in a highly dynamic Mediterranean coastal environment (Bay of Marseille, France) – Part 1: Evolution of ecosystem composition under limited light and nutrient conditions
Ocean wave tracing v.1: a numerical solver of the wave ray equations for ocean waves on variable currents at arbitrary depths
Design and evaluation of an efficient high-precision ocean surface wave model with a multiscale grid system (MSG_Wav1.0)
Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2)
Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard
Open-ocean tides simulated by ICON-O, version icon-2.6.6
Using Probability Density Functions to Evaluate Models (PDFEM, v1.0) to compare a biogeochemical model with satellite-derived chlorophyll
Axelle Gaffet, Xavier Bertin, Damien Sous, Héloïse Michaud, Aron Roland, and Emmanuel Cordier
Geosci. Model Dev., 18, 1929–1946, https://doi.org/10.5194/gmd-18-1929-2025, https://doi.org/10.5194/gmd-18-1929-2025, 2025
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This study presents a new global wave model that improves predictions of sea states in tropical areas by using a high-resolution grid and corrected wind fields. The model is validated globally with satellite data and nearshore using in situ data. The model allows for the first time direct comparisons with in situ data collected at 10–30 m water depth, which is very close to shore due to the steep slope usually surrounding volcanic islands.
Antoine Mathieu, Yeulwoo Kim, Tian-Jian Hsu, Cyrille Bonamy, and Julien Chauchat
Geosci. Model Dev., 18, 1561–1573, https://doi.org/10.5194/gmd-18-1561-2025, https://doi.org/10.5194/gmd-18-1561-2025, 2025
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Most of the tools available to model sediment transport do not account for complex physical mechanisms such as surface-wave-driven processes. In this study, a new model, sedInterFoam, allows us to reproduce numerically complex configurations in order to investigate coastal sediment transport applications dominated by surface waves and to gain insight into the complex physical processes associated with breaking waves and morphodynamics.
Zhaoru Zhang, Chuan Xie, Chuning Wang, Yuanjie Chen, Heng Hu, and Xiaoqiao Wang
Geosci. Model Dev., 18, 1375–1393, https://doi.org/10.5194/gmd-18-1375-2025, https://doi.org/10.5194/gmd-18-1375-2025, 2025
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A coupled fine-resolution ocean–ice model is developed for the Ross Sea and adjacent regions in Antarctica, a key area for the formation of global ocean bottom water, the Antarctic Bottom Water (AABW), which affects global ocean circulation. The model has a high skill level in simulating sea ice production driving the AABW source water formation and AABW properties when assessed against observations. A model experiment shows a significant impact of ice shelf melting on the AABW characteristics.
Swantje Bastin, Aleksei Koldunov, Florian Schütte, Oliver Gutjahr, Marta Agnieszka Mrozowska, Tim Fischer, Radomyra Shevchenko, Arjun Kumar, Nikolay Koldunov, Helmuth Haak, Nils Brüggemann, Rebecca Hummels, Mia Sophie Specht, Johann Jungclaus, Sergey Danilov, Marcus Dengler, and Markus Jochum
Geosci. Model Dev., 18, 1189–1220, https://doi.org/10.5194/gmd-18-1189-2025, https://doi.org/10.5194/gmd-18-1189-2025, 2025
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Vertical mixing is an important process, for example, for tropical sea surface temperature, but cannot be resolved by ocean models. Comparisons of mixing schemes and settings have usually been done with a single model, sometimes yielding conflicting results. We systematically compare two widely used schemes with different parameter settings in two different ocean models and show that most effects from mixing scheme parameter changes are model-dependent.
Marko Rus, Hrvoje Mihanović, Matjaž Ličer, and Matej Kristan
Geosci. Model Dev., 18, 605–620, https://doi.org/10.5194/gmd-18-605-2025, https://doi.org/10.5194/gmd-18-605-2025, 2025
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HIDRA3 is a deep-learning model for predicting sea levels and storm surges, offering significant improvements over previous models and numerical simulations. It utilizes data from multiple tide gauges, enhancing predictions even with limited historical data and during sensor outages. With its advanced architecture, HIDRA3 outperforms current state-of-the-art models by achieving a mean absolute error of up to 15 % lower, proving effective for coastal flood forecasting under diverse conditions.
Isabel Jalón-Rojas, Damien Sous, and Vincent Marieu
Geosci. Model Dev., 18, 319–336, https://doi.org/10.5194/gmd-18-319-2025, https://doi.org/10.5194/gmd-18-319-2025, 2025
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This study presents a novel modeling approach for understanding microplastic transport in coastal waters. The model accurately replicates experimental data and reveals key transport mechanisms. The findings enhance our knowledge of how microplastics move in nearshore environments, aiding in coastal management and efforts to combat plastic pollution globally.
Greig Oldford, Tereza Jarníková, Villy Christensen, and Michael Dunphy
Geosci. Model Dev., 18, 211–237, https://doi.org/10.5194/gmd-18-211-2025, https://doi.org/10.5194/gmd-18-211-2025, 2025
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We developed a 3D ocean model called the Hindcast of the Salish Sea (HOTSSea v1) that recreates physical conditions throughout the Salish Sea from 1980 to 2018. It was not clear that acceptable accuracy could be achieved because of computational and data limitations, but the model's predictions agreed well with observations. When we used the model to examine ocean temperature trends in areas that lack observations, it indicated that some seasons and areas are warming faster than others.
Kyoko Ohashi, Arnaud Laurent, Christoph Renkl, Jinyu Sheng, Katja Fennel, and Eric Oliver
Geosci. Model Dev., 17, 8697–8733, https://doi.org/10.5194/gmd-17-8697-2024, https://doi.org/10.5194/gmd-17-8697-2024, 2024
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We developed a modelling system of the northwest Atlantic Ocean that simulates the currents, temperature, salinity, and parts of the biochemical cycle of the ocean, as well as sea ice. The system combines advanced, open-source models and can be used to study, for example, the ocean capture of atmospheric carbon dioxide, which is a key process in the global climate. The system produces realistic results, and we use it to investigate the roles of tides and sea ice in the northwest Atlantic Ocean.
Eui-Jong Kang, Byung-Ju Sohn, Sang-Woo Kim, Wonho Kim, Young-Cheol Kwon, Seung-Bum Kim, Hyoung-Wook Chun, and Chao Liu
Geosci. Model Dev., 17, 8553–8568, https://doi.org/10.5194/gmd-17-8553-2024, https://doi.org/10.5194/gmd-17-8553-2024, 2024
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Sea surface temperature (SST) is vital in climate, weather, and ocean sciences because it influences air–sea interactions. Errors in the ECMWF model's scheme for predicting ocean skin temperature prompted a revision of the ocean mixed layer model. Validation against infrared measurements and buoys showed a good correlation with minimal deviations. The revised model accurately simulates SST variations and aligns with solar radiation distributions, showing promise for weather and climate models.
Qin Zhou, Chen Zhao, Rupert Gladstone, Tore Hattermann, David Gwyther, and Benjamin Galton-Fenzi
Geosci. Model Dev., 17, 8243–8265, https://doi.org/10.5194/gmd-17-8243-2024, https://doi.org/10.5194/gmd-17-8243-2024, 2024
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We introduce an accelerated forcing approach to address timescale discrepancies between the ice sheets and ocean components in coupled modelling by reducing the ocean simulation duration. The approach is evaluated using idealized coupled models, and its limitations in real-world applications are discussed. Our results suggest it can be a valuable tool for process-oriented coupled ice sheet–ocean modelling and downscaling climate simulations with such models.
Jan D. Zika and Taimoor Sohail
Geosci. Model Dev., 17, 8049–8068, https://doi.org/10.5194/gmd-17-8049-2024, https://doi.org/10.5194/gmd-17-8049-2024, 2024
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We describe a method to relate fluxes of heat and freshwater at the sea surface to the resulting distribution of seawater among categories such as warm and salty or cold and salty. The method exploits the laws that govern how heat and salt change when water mixes. The method will allow the climate community to improve estimates of how much heat the ocean is absorbing and how rainfall and evaporation are changing across the globe.
Gloria Pietropolli, Luca Manzoni, and Gianpiero Cossarini
Geosci. Model Dev., 17, 7347–7364, https://doi.org/10.5194/gmd-17-7347-2024, https://doi.org/10.5194/gmd-17-7347-2024, 2024
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Monitoring the ocean is essential for studying marine life and human impact. Our new software, PPCon, uses ocean data to predict key factors like nitrate and chlorophyll levels, which are hard to measure directly. By leveraging machine learning, PPCon offers more accurate and efficient predictions.
Davi Mignac, Jennifer Waters, Daniel J. Lea, Matthew J. Martin, James While, Anthony T. Weaver, Arthur Vidard, Catherine Guiavarc’h, Dave Storkey, David Ford, Edward W. Blockley, Jonathan Baker, Keith Haines, Martin R. Price, Michael J. Bell, and Richard Renshaw
EGUsphere, https://doi.org/10.5194/egusphere-2024-3143, https://doi.org/10.5194/egusphere-2024-3143, 2024
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We describe major improvements of the Met Office's global ocean-sea ice forecasting system. The models and the way observations are used to improve the forecasts were changed, which led to a significant error reduction of 1-day forecasts. The new system performance in past conditions, where sub-surface observations are scarce, was improved with more consistent ocean heat content estimates. The new system will be of better use for climate studies and will provide improved forecasts for end users.
Marina Amadori, Abolfazl Irani Rahaghi, Damien Bouffard, and Marco Toffolon
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-118, https://doi.org/10.5194/gmd-2024-118, 2024
Revised manuscript accepted for GMD
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Models simplify reality using assumptions, which can sometimes introduce flaws and affect their accuracy. Properly calibrating model parameters is essential, and although automated tools can speed up this process, they may occasionally produce incorrect values due to inconsistencies in the model. We demonstrate that by carefully applying automated tools, we were able to identify and correct a flaw in a widely used model for lake environments.
Renbo Pang, Fujiang Yu, Yuanyong Gao, Ye Yuan, Liang Yuan, and Zhiyi Gao
EGUsphere, https://doi.org/10.5194/egusphere-2024-2515, https://doi.org/10.5194/egusphere-2024-2515, 2024
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The application of the distributed graph communication topology in earth models has been rarely studied. We tested and compared this topology with the traditional point-to-point communication method using a global wave model. We found that this topology is more efficient. Additionally, using this topology can greatly improve the performance of the wave model and could help improve the performance of other earth models.
Jan De Rydt, Nicolas C. Jourdain, Yoshihiro Nakayama, Mathias van Caspel, Ralph Timmermann, Pierre Mathiot, Xylar S. Asay-Davis, Hélène Seroussi, Pierre Dutrieux, Ben Galton-Fenzi, David Holland, and Ronja Reese
Geosci. Model Dev., 17, 7105–7139, https://doi.org/10.5194/gmd-17-7105-2024, https://doi.org/10.5194/gmd-17-7105-2024, 2024
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Global climate models do not reliably simulate sea-level change due to ice-sheet–ocean interactions. We propose a community modelling effort to conduct a series of well-defined experiments to compare models with observations and study how models respond to a range of perturbations in climate and ice-sheet geometry. The second Marine Ice Sheet–Ocean Model Intercomparison Project will continue to lay the groundwork for including ice-sheet–ocean interactions in global-scale IPCC-class models.
Qian Wang, Yang Zhang, Fei Chai, Y. Joseph Zhang, and Lorenzo Zampieri
Geosci. Model Dev., 17, 7067–7081, https://doi.org/10.5194/gmd-17-7067-2024, https://doi.org/10.5194/gmd-17-7067-2024, 2024
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We coupled an unstructured hydro-model with an advanced column sea ice model to meet the growing demand for increased resolution and complexity in unstructured sea ice models. Additionally, we present a novel tracer transport scheme for the sea ice coupled model and demonstrate that this scheme fulfills the requirements for conservation, accuracy, efficiency, and monotonicity in an idealized test. Our new coupled model also has good performance in realistic tests.
Adrien Garinet, Marine Herrmann, Patrick Marsaleix, and Juliette Pénicaud
Geosci. Model Dev., 17, 6967–6986, https://doi.org/10.5194/gmd-17-6967-2024, https://doi.org/10.5194/gmd-17-6967-2024, 2024
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Mixing is a crucial aspect of the ocean, but its accurate representation in computer simulations is made challenging by errors that result in unwanted mixing, compromising simulation realism. Here we illustrate the spurious effect that tides can have on simulations of south-east Asia. Although they play an important role in determining the state of the ocean, they can increase numerical errors and make simulation outputs less realistic. We also provide insights into how to reduce these errors.
Mohamed Ayache, Jean-Claude Dutay, Anne Mouchet, Kazuyo Tachikawa, Camille Risi, and Gilles Ramstein
Geosci. Model Dev., 17, 6627–6655, https://doi.org/10.5194/gmd-17-6627-2024, https://doi.org/10.5194/gmd-17-6627-2024, 2024
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Water isotopes (δ18O, δD) are one of the most widely used proxies in ocean climate research. Previous studies using water isotope observations and modelling have highlighted the importance of understanding spatial and temporal isotopic variability for a quantitative interpretation of these tracers. Here we present the first results of a high-resolution regional dynamical model (at 1/12° horizontal resolution) developed for the Mediterranean Sea, one of the hotspots of ongoing climate change.
Cara Nissen, Nicole S. Lovenduski, Mathew Maltrud, Alison R. Gray, Yohei Takano, Kristen Falcinelli, Jade Sauvé, and Katherine Smith
Geosci. Model Dev., 17, 6415–6435, https://doi.org/10.5194/gmd-17-6415-2024, https://doi.org/10.5194/gmd-17-6415-2024, 2024
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Autonomous profiling floats have provided unprecedented observational coverage of the global ocean, but uncertainties remain about whether their sampling frequency and density capture the true spatiotemporal variability of physical, biogeochemical, and biological properties. Here, we present the novel synthetic biogeochemical float capabilities of the Energy Exascale Earth System Model version 2 and demonstrate their utility as a test bed to address these uncertainties.
Usama Kadri, Ali Abdolali, and Maxim Filimonov
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-139, https://doi.org/10.5194/gmd-2024-139, 2024
Revised manuscript accepted for GMD
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The GREAT v1.0 software introduces a novel tsunami warning technology for global real-time analysis. It leverages acoustic signals generated by tsunamis, which propagate faster than the tsunami itself, enabling real-time detection and assessment. Integrating various models, the software provides reliable and rapid assessment, mapping risk areas, and estimating tsunami amplitude. This advancement reduces false alarms and enhances global tsunami warning systems' accuracy and efficiency.
Ye Yuan, Fujiang Yu, Zhi Chen, Xueding Li, Fang Hou, Yuanyong Gao, Zhiyi Gao, and Renbo Pang
Geosci. Model Dev., 17, 6123–6136, https://doi.org/10.5194/gmd-17-6123-2024, https://doi.org/10.5194/gmd-17-6123-2024, 2024
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Accurate and timely forecasting of ocean waves is of great importance to the safety of marine transportation and offshore engineering. In this study, GPU-accelerated computing is introduced in WAve Modeling Cycle 6 (WAM6). With this effort, global high-resolution wave simulations can now run on GPUs up to tens of times faster than the currently available models can on a CPU node with results that are just as accurate.
Krysten Rutherford, Laura Bianucci, and William Floyd
Geosci. Model Dev., 17, 6083–6104, https://doi.org/10.5194/gmd-17-6083-2024, https://doi.org/10.5194/gmd-17-6083-2024, 2024
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Nearshore ocean models often lack complete information about freshwater fluxes due to numerous ungauged rivers and streams. We tested a simple rain-based hydrological model as inputs into an ocean model of Quatsino Sound, Canada, with the aim of improving the representation of the land–ocean connection in the nearshore model. Through multiple tests, we found that the performance of the ocean model improved when providing 60 % or more of the freshwater inputs from the simple runoff model.
Neill Mackay, Taimoor Sohail, Jan David Zika, Richard G. Williams, Oliver Andrews, and Andrew James Watson
Geosci. Model Dev., 17, 5987–6005, https://doi.org/10.5194/gmd-17-5987-2024, https://doi.org/10.5194/gmd-17-5987-2024, 2024
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The ocean absorbs carbon dioxide from the atmosphere, mitigating climate change, but estimates of the uptake do not always agree. There is a need to reconcile these differing estimates and to improve our understanding of ocean carbon uptake. We present a new method for estimating ocean carbon uptake and test it with model data. The method effectively diagnoses the ocean carbon uptake from limited data and therefore shows promise for reconciling different observational estimates.
Lucille Barré, Frédéric Diaz, Thibaut Wagener, Camille Mazoyer, Christophe Yohia, and Christel Pinazo
Geosci. Model Dev., 17, 5851–5882, https://doi.org/10.5194/gmd-17-5851-2024, https://doi.org/10.5194/gmd-17-5851-2024, 2024
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The carbonate system is typically studied using measurements, but modeling can contribute valuable insights. Using a biogeochemical model, we propose a new representation of total alkalinity, dissolved inorganic carbon, pCO2, and pH in a highly dynamic Mediterranean coastal area, the Bay of Marseille, a useful addition to measurements. Through a detailed analysis of pCO2 and air–sea CO2 fluxes, we show that variations are strongly impacted by the hydrodynamic processes that affect the bay.
Xuanxuan Gao, Shuiqing Li, Dongxue Mo, Yahao Liu, and Po Hu
Geosci. Model Dev., 17, 5497–5509, https://doi.org/10.5194/gmd-17-5497-2024, https://doi.org/10.5194/gmd-17-5497-2024, 2024
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Storm surges generate coastal inundation and expose populations and properties to danger. We developed a novel storm surge inundation model for efficient prediction. Estimates compare well with in situ measurements and results from a numerical model. The new model is a significant improvement on existing numerical models, with much higher computational efficiency and stability, which allows timely disaster prevention and mitigation.
Vincenzo de Toma, Daniele Ciani, Yassmin Hesham Essa, Chunxue Yang, Vincenzo Artale, Andrea Pisano, Davide Cavaliere, Rosalia Santoleri, and Andrea Storto
Geosci. Model Dev., 17, 5145–5165, https://doi.org/10.5194/gmd-17-5145-2024, https://doi.org/10.5194/gmd-17-5145-2024, 2024
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This study explores methods to reconstruct diurnal variations in skin sea surface temperature in a model of the Mediterranean Sea. Our new approach, considering chlorophyll concentration, enhances spatial and temporal variations in the warm layer. Comparative analysis shows context-dependent improvements. The proposed "chlorophyll-interactive" method brings the surface net total heat flux closer to zero annually, despite a net heat loss from the ocean to the atmosphere.
David Storkey, Pierre Mathiot, Michael J. Bell, Dan Copsey, Catherine Guiavarc'h, Helene T. Hewitt, Jeff Ridley, and Malcolm J. Roberts
EGUsphere, https://doi.org/10.5194/egusphere-2024-1414, https://doi.org/10.5194/egusphere-2024-1414, 2024
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The Southern Ocean is a key region of the world ocean in the context of climate change studies. We show that the HadGEM3 coupled model with intermediate ocean resolution struggles to accurately simulate the Southern Ocean. Increasing the frictional drag that the sea floor exerts on ocean currents, and introducing a representation of unresolved ocean eddies both appear to reduce the large-scale biases in this model.
Peter Mlakar, Antonio Ricchi, Sandro Carniel, Davide Bonaldo, and Matjaž Ličer
Geosci. Model Dev., 17, 4705–4725, https://doi.org/10.5194/gmd-17-4705-2024, https://doi.org/10.5194/gmd-17-4705-2024, 2024
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We propose a new point-prediction model, the DEep Learning WAVe Emulating model (DELWAVE), which successfully emulates the Simulating WAves Nearshore model (SWAN) over synoptic to climate timescales. Compared to control climatology over all wind directions, the mismatch between DELWAVE and SWAN is generally small compared to the difference between scenario and control conditions, suggesting that the noise introduced by surrogate modelling is substantially weaker than the climate change signal.
Susanna Winkelbauer, Michael Mayer, and Leopold Haimberger
Geosci. Model Dev., 17, 4603–4620, https://doi.org/10.5194/gmd-17-4603-2024, https://doi.org/10.5194/gmd-17-4603-2024, 2024
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Oceanic transports shape the global climate, but the evaluation and validation of this key quantity based on reanalysis and model data are complicated by the distortion of the used modelling grids and the large number of different grid types. We present two new methods that allow the calculation of oceanic fluxes of volume, heat, salinity, and ice through almost arbitrary sections for various models and reanalyses that are independent of the used modelling grids.
Xiaoyu Fan, Baylor Fox-Kemper, Nobuhiro Suzuki, Qing Li, Patrick Marchesiello, Peter P. Sullivan, and Paul S. Hall
Geosci. Model Dev., 17, 4095–4113, https://doi.org/10.5194/gmd-17-4095-2024, https://doi.org/10.5194/gmd-17-4095-2024, 2024
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Simulations of the oceanic turbulent boundary layer using the nonhydrostatic CROCO ROMS and NCAR-LES models are compared. CROCO and the NCAR-LES are accurate in a similar manner, but CROCO’s additional features (e.g., nesting and realism) and its compressible turbulence formulation carry additional costs.
Jilian Xiong and Parker MacCready
Geosci. Model Dev., 17, 3341–3356, https://doi.org/10.5194/gmd-17-3341-2024, https://doi.org/10.5194/gmd-17-3341-2024, 2024
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The new offline particle tracking package, Tracker v1.1, is introduced to the Regional Ocean Modeling System, featuring an efficient nearest-neighbor algorithm to enhance particle-tracking speed. Its performance was evaluated against four other tracking packages and passive dye. Despite unique features, all packages yield comparable results. Running multiple packages within the same circulation model allows comparison of their performance and ease of use.
Sylvain Cailleau, Laurent Bessières, Léonel Chiendje, Flavie Dubost, Guillaume Reffray, Jean-Michel Lellouche, Simon van Gennip, Charly Régnier, Marie Drevillon, Marc Tressol, Matthieu Clavier, Julien Temple-Boyer, and Léo Berline
Geosci. Model Dev., 17, 3157–3173, https://doi.org/10.5194/gmd-17-3157-2024, https://doi.org/10.5194/gmd-17-3157-2024, 2024
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In order to improve Sargassum drift forecasting in the Caribbean area, drift models can be forced by higher-resolution ocean currents. To this goal a 3 km resolution regional ocean model has been developed. Its assessment is presented with a particular focus on the reproduction of fine structures representing key features of the Caribbean region dynamics and Sargassum transport. The simulated propagation of a North Brazil Current eddy and its dissipation was found to be quite realistic.
Gaetano Porcile, Anne-Claire Bennis, Martial Boutet, Sophie Le Bot, Franck Dumas, and Swen Jullien
Geosci. Model Dev., 17, 2829–2853, https://doi.org/10.5194/gmd-17-2829-2024, https://doi.org/10.5194/gmd-17-2829-2024, 2024
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Here a new method of modelling the interaction between ocean currents and waves is presented. We developed an advanced coupling of two models, one for ocean currents and one for waves. In previous couplings, some wave-related calculations were based on simplified assumptions. Our method uses more complex calculations to better represent wave–current interactions. We tested it in a macro-tidal coastal area and found that it significantly improves the model accuracy, especially during storms.
Colette Gabrielle Kerry, Moninya Roughan, Shane Keating, David Gwyther, Gary Brassington, Adil Siripatana, and Joao Marcos A. C. Souza
Geosci. Model Dev., 17, 2359–2386, https://doi.org/10.5194/gmd-17-2359-2024, https://doi.org/10.5194/gmd-17-2359-2024, 2024
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Ocean forecasting relies on the combination of numerical models and ocean observations through data assimilation (DA). Here we assess the performance of two DA systems in a dynamic western boundary current, the East Australian Current, across a common modelling and observational framework. We show that the more advanced, time-dependent method outperforms the time-independent method for forecast horizons of 5 d. This advocates the use of advanced methods for highly variable oceanic regions.
Ivan Hernandez, Leidy M. Castro-Rosero, Manuel Espino, and Jose M. Alsina Torrent
Geosci. Model Dev., 17, 2221–2245, https://doi.org/10.5194/gmd-17-2221-2024, https://doi.org/10.5194/gmd-17-2221-2024, 2024
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The LOCATE numerical model was developed to conduct Lagrangian simulations of the transport and dispersion of marine debris at coastal scales. High-resolution hydrodynamic data and a beaching module that used particle distance to the shore for land–water boundary detection were used on a realistic debris discharge scenario comparing hydrodynamic data at various resolutions. Coastal processes and complex geometric structures were resolved when using nested grids and distance-to-shore beaching.
Ngoc B. Trinh, Marine Herrmann, Caroline Ulses, Patrick Marsaleix, Thomas Duhaut, Thai To Duy, Claude Estournel, and R. Kipp Shearman
Geosci. Model Dev., 17, 1831–1867, https://doi.org/10.5194/gmd-17-1831-2024, https://doi.org/10.5194/gmd-17-1831-2024, 2024
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A high-resolution model was built to study the South China Sea (SCS) water, heat, and salt budgets. Model performance is demonstrated by comparison with observations and simulations. Important discards are observed if calculating offline, instead of online, lateral inflows and outflows of water, heat, and salt. The SCS mainly receives water from the Luzon Strait and releases it through the Mindoro, Taiwan, and Karimata straits. SCS surface interocean water exchanges are driven by monsoon winds.
Louis Thiry, Long Li, Guillaume Roullet, and Etienne Mémin
Geosci. Model Dev., 17, 1749–1764, https://doi.org/10.5194/gmd-17-1749-2024, https://doi.org/10.5194/gmd-17-1749-2024, 2024
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We present a new way of solving the quasi-geostrophic (QG) equations, a simple set of equations describing ocean dynamics. Our method is solely based on the numerical methods used to solve the equations and requires no parameter tuning. Moreover, it can handle non-rectangular geometries, opening the way to study QG equations on realistic domains. We release a PyTorch implementation to ease future machine-learning developments on top of the presented method.
Zheqi Shen, Yihao Chen, Xiaojing Li, and Xunshu Song
Geosci. Model Dev., 17, 1651–1665, https://doi.org/10.5194/gmd-17-1651-2024, https://doi.org/10.5194/gmd-17-1651-2024, 2024
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Parameter estimation is the process that optimizes model parameters using observations, which could reduce model errors and improve forecasting. In this study, we conducted parameter estimation experiments using the CESM and the ensemble adjustment Kalman filter. The obtained initial conditions and parameters are used to perform ensemble forecast experiments for ENSO forecasting. The results revealed that parameter estimation could reduce analysis errors and improve ENSO forecast skills.
Ali Abdolali, Saeideh Banihashemi, Jose Henrique Alves, Aron Roland, Tyler J. Hesser, Mary Anderson Bryant, and Jane McKee Smith
Geosci. Model Dev., 17, 1023–1039, https://doi.org/10.5194/gmd-17-1023-2024, https://doi.org/10.5194/gmd-17-1023-2024, 2024
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This article presents an overview of the development and implementation of Great Lake Wave Unstructured (GLWUv2.0), including the core model and workflow design and development. The validation was conducted against in situ data for the re-forecasted duration for summer and wintertime (ice season). The article describes the limitations and challenges encountered in the operational environment and the path forward for the next generation of wave forecast systems in enclosed basins like the GL.
Qiang Wang, Qi Shu, Alexandra Bozec, Eric P. Chassignet, Pier Giuseppe Fogli, Baylor Fox-Kemper, Andy McC. Hogg, Doroteaciro Iovino, Andrew E. Kiss, Nikolay Koldunov, Julien Le Sommer, Yiwen Li, Pengfei Lin, Hailong Liu, Igor Polyakov, Patrick Scholz, Dmitry Sidorenko, Shizhu Wang, and Xiaobiao Xu
Geosci. Model Dev., 17, 347–379, https://doi.org/10.5194/gmd-17-347-2024, https://doi.org/10.5194/gmd-17-347-2024, 2024
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Increasing resolution improves model skills in simulating the Arctic Ocean, but other factors such as parameterizations and numerics are at least of the same importance for obtaining reliable simulations.
Andrew C. Ross, Charles A. Stock, Alistair Adcroft, Enrique Curchitser, Robert Hallberg, Matthew J. Harrison, Katherine Hedstrom, Niki Zadeh, Michael Alexander, Wenhao Chen, Elizabeth J. Drenkard, Hubert du Pontavice, Raphael Dussin, Fabian Gomez, Jasmin G. John, Dujuan Kang, Diane Lavoie, Laure Resplandy, Alizée Roobaert, Vincent Saba, Sang-Ik Shin, Samantha Siedlecki, and James Simkins
Geosci. Model Dev., 16, 6943–6985, https://doi.org/10.5194/gmd-16-6943-2023, https://doi.org/10.5194/gmd-16-6943-2023, 2023
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We evaluate a model for northwest Atlantic Ocean dynamics and biogeochemistry that balances high resolution with computational economy by building on the new regional features in the MOM6 ocean model and COBALT biogeochemical model. We test the model's ability to simulate impactful historical variability and find that the model simulates the mean state and variability of most features well, which suggests the model can provide information to inform living-marine-resource applications.
Luca Arpaia, Christian Ferrarin, Marco Bajo, and Georg Umgiesser
Geosci. Model Dev., 16, 6899–6919, https://doi.org/10.5194/gmd-16-6899-2023, https://doi.org/10.5194/gmd-16-6899-2023, 2023
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We propose a discrete multilayer shallow water model based on z-layers which, thanks to the insertion and removal of surface layers, can deal with an arbitrarily large tidal oscillation independently of the vertical resolution. The algorithm is based on a two-step procedure used in numerical simulations with moving boundaries (grid movement followed by a grid topology change, that is, the insertion/removal of surface layers), which avoids the appearance of very thin surface layers.
Lucille Barré, Frédéric Diaz, Thibaut Wagener, France Van Wambeke, Camille Mazoyer, Christophe Yohia, and Christel Pinazo
Geosci. Model Dev., 16, 6701–6739, https://doi.org/10.5194/gmd-16-6701-2023, https://doi.org/10.5194/gmd-16-6701-2023, 2023
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While several studies have shown that mixotrophs play a crucial role in the carbon cycle, the impact of environmental forcings on their dynamics remains poorly investigated. Using a biogeochemical model that considers mixotrophs, we study the impact of light and nutrient concentration on the ecosystem composition in a highly dynamic Mediterranean coastal area: the Bay of Marseille. We show that mixotrophs cope better with oligotrophic conditions compared to strict auto- and heterotrophs.
Trygve Halsne, Kai Håkon Christensen, Gaute Hope, and Øyvind Breivik
Geosci. Model Dev., 16, 6515–6530, https://doi.org/10.5194/gmd-16-6515-2023, https://doi.org/10.5194/gmd-16-6515-2023, 2023
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Surface waves that propagate in oceanic or coastal environments get influenced by their surroundings. Changes in the ambient current or the depth profile affect the wave propagation path, and the change in wave direction is called refraction. Some analytical solutions to the governing equations exist under ideal conditions, but for realistic situations, the equations must be solved numerically. Here we present such a numerical solver under an open-source license.
Jiangyu Li, Shaoqing Zhang, Qingxiang Liu, Xiaolin Yu, and Zhiwei Zhang
Geosci. Model Dev., 16, 6393–6412, https://doi.org/10.5194/gmd-16-6393-2023, https://doi.org/10.5194/gmd-16-6393-2023, 2023
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Ocean surface waves play an important role in the air–sea interface but are rarely activated in high-resolution Earth system simulations due to their expensive computational costs. To alleviate this situation, this paper designs a new wave modeling framework with a multiscale grid system. Evaluations of a series of numerical experiments show that it has good feasibility and applicability in the WAVEWATCH III model, WW3, and can achieve the goals of efficient and high-precision wave simulation.
Doroteaciro Iovino, Pier Giuseppe Fogli, and Simona Masina
Geosci. Model Dev., 16, 6127–6159, https://doi.org/10.5194/gmd-16-6127-2023, https://doi.org/10.5194/gmd-16-6127-2023, 2023
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This paper describes the model performance of three global ocean–sea ice configurations, from non-eddying (1°) to eddy-rich (1/16°) resolutions. Model simulations are obtained following the Ocean Model Intercomparison Project phase 2 (OMIP2) protocol. We compare key global climate variables across the three models and against observations, emphasizing the relative advantages and disadvantages of running forced ocean–sea ice models at higher resolution.
Johannes Röhrs, Yvonne Gusdal, Edel S. U. Rikardsen, Marina Durán Moro, Jostein Brændshøi, Nils Melsom Kristensen, Sindre Fritzner, Keguang Wang, Ann Kristin Sperrevik, Martina Idžanović, Thomas Lavergne, Jens Boldingh Debernard, and Kai H. Christensen
Geosci. Model Dev., 16, 5401–5426, https://doi.org/10.5194/gmd-16-5401-2023, https://doi.org/10.5194/gmd-16-5401-2023, 2023
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A model to predict ocean currents, temperature, and sea ice is presented, covering the Barents Sea and northern Norway. To quantify forecast uncertainties, the model calculates ensemble forecasts with 24 realizations of ocean and ice conditions. Observations from satellites, buoys, and ships are ingested by the model. The model forecasts are compared with observations, and we show that the ocean model has skill in predicting sea surface temperatures.
Jin-Song von Storch, Eileen Hertwig, Veit Lüschow, Nils Brüggemann, Helmuth Haak, Peter Korn, and Vikram Singh
Geosci. Model Dev., 16, 5179–5196, https://doi.org/10.5194/gmd-16-5179-2023, https://doi.org/10.5194/gmd-16-5179-2023, 2023
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The new ocean general circulation model ICON-O is developed for running experiments at kilometer scales and beyond. One targeted application is to simulate internal tides crucial for ocean mixing. To ensure their realism, which is difficult to assess, we evaluate the barotropic tides that generate internal tides. We show that ICON-O is able to realistically simulate the major aspects of the observed barotropic tides and discuss the aspects that impact the quality of the simulated tides.
Bror F. Jönsson, Christopher L. Follett, Jacob Bien, Stephanie Dutkiewicz, Sangwon Hyun, Gemma Kulk, Gael L. Forget, Christian Müller, Marie-Fanny Racault, Christopher N. Hill, Thomas Jackson, and Shubha Sathyendranath
Geosci. Model Dev., 16, 4639–4657, https://doi.org/10.5194/gmd-16-4639-2023, https://doi.org/10.5194/gmd-16-4639-2023, 2023
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While biogeochemical models and satellite-derived ocean color data provide unprecedented information, it is problematic to compare them. Here, we present a new approach based on comparing probability density distributions of model and satellite properties to assess model skills. We also introduce Earth mover's distances as a novel and powerful metric to quantify the misfit between models and observations. We find that how 3D chlorophyll fields are aggregated can be a significant source of error.
Cited articles
Altabet, M. A. and Francois, R.: Nitrogen isotope biogeochemistry of the
Antarctic Polar Frontal Zone at 170 degrees W, Deep-Sea Res. Pt. II, 48, 4247–4273,
https://doi.org/10.1016/S0967-0645(01)00088-1, 2001. a, b
Bohlen, L., Dale, A. W., and Wallmann, K.: Simple transfer functions for
calculating benthic fixed nitrogen losses and
Boudreau, B. P.: Carbonate dissolution rates at the deep ocean floor,
Geophys. Res. Lett., 40, 744–748, https://doi.org/10.1029/2012GL054231,
2013. a
Boyd, P. W., Strzepek, R. F., Ellwood, M. J., Hutchins, D. A., Nodder, S. D.,
Twining, B. S., and Wilhelm, S. W.: Why are biotic iron pools uniform across
high- and low-iron pelagic ecosystems?, Global Biogeochem. Cy., 29,
1028–1043, https://doi.org/10.1002/2014GB005014, 2015. a
Brandes, J. A. and Devol, A. H.: A global marine-fixed nitrogen isotopic
budget: Implications for Holocene nitrogen cycling, Global Biogeochem.
Cy., 16, 67–1–67–14, https://doi.org/10.1029/2001GB001856, 2002. a, b, c
Buchanan, P., Matear, R., Chase, Z., Phipps, S., and Bindoff, N.: Dynamic
Biological Functioning Important for Simulating and Stabilizing Ocean
Biogeochemistry, Global Biogeochem. Cy., 32, 565–593, https://doi.org/10.1002/2017GB005753,
2018. a, b
Buchanan, P. J., Matear, R. J., Lenton, A., Phipps, S. J., Chase, Z., and
Etheridge, D. M.: The simulated climate of the Last Glacial Maximum and
insights into the global marine carbon cycle, Clim. Past, 12, 2271–2295,
https://doi.org/10.5194/cp-12-2271-2016, 2016. a, b
Buchanan, P. J., Matear, R. J., Chase, Z., Phipps, S. J., and
Bindoff, N. L.:
Oceanic carbon-13 and nitrogen-15 isotopes simulated by CSIRO Mk3L-COAL version
1.0, https://doi.org/10.25914/5c6643f64446c, 2019. a
Capone, D. G., Burns, J. A., Montoya, J. P., Subramaniam, A., Mahaffey, C.,
Gunderson, T., Michaels, A. F., and Carpenter, E. J.: Nitrogen fixation by
Trichodesmium spp.: An important source of new nitrogen to the tropical and
subtropical North Atlantic Ocean, Global Biogeochem. Cy., 19, GB2024,
https://doi.org/10.1029/2004GB002331, 2005. a
Carpenter, E. J. and Guillard, R. R. L.: Intraspecific differences in
nitrate
half-saturation constants for three species of marine phytoplankton,
Ecology, 52, 183–185, 1971. a
Carpenter, E. J., Harvey, H. R., Brian, F., and Capone, D. G.:
Biogeochemical
tracers of the marine cyanobacterium Trichodesmium, Deep-Sea Res. Pt.
I, 44, 27–38,
https://doi.org/10.1016/S0967-0637(96)00091-X, 1997. a
Cartapanis, O., Bianchi, D., Jaccard, S. L., and Galbraith, E. D.: Global
pulses of organic carbon burial in deep-sea sediments during glacial maxima,
Nat. Commun., 7, 1–7, https://doi.org/10.1038/ncomms10796, 2016. a
Ciais, P., Tagliabue, A., Cuntz, M., Bopp, L., Scholze, M., Hoffmann, G.,
Lourantou, A., Harrison, S. P., Prentice, I. C., Kelley, D. I., Koven, C.,
and Piao, S. L.: Large inert carbon pool in the terrestrial biosphere during
the Last Glacial Maximum, Nat. Geosci., 5, 74–79,
https://doi.org/10.1038/ngeo1324, 2011. a
Clementson, L., Parslow, J., Griffiths, F., Lyne, V., Mackey, D., Harris, G.,
McKenzie, D., Bonham, P., Rathbone, C., and Rintoul, S.: Controls on
phytoplankton production in the Australasian sector of the subtropical
convergence, Deep-Sea Res. Pt. I, 45,
1627–1661, https://doi.org/10.1016/S0967-0637(98)00035-1, 1998. a
Cline, J. D. and Kaplan, I. R.: Isotopic fractionation of dissolved nitrate
during denitrification in the eastern tropical north pacific ocean, Mar.
Chem., 3, 271–299, https://doi.org/10.1016/0304-4203(75)90009-2, 1975. a
Codispoti, L. A. and Richards, F. A.: An analysis of the horizontal regime
of
denitrification in the eastern tropical North Pacific, Limnol.
Oceanogr., 21, 379–388, https://doi.org/10.4319/lo.1976.21.3.0379, 1976. a
Craig, H.: Isotopic standards for carbon and oxygen and correction factors
for
mass-spectrometric analysis of carbon dioxide, Geochim. Cosmochim.
Ac., 12, 133–149, https://doi.org/10.1016/0016-7037(57)90024-8, 1957. a
Dugdale, R. C.: Nutrient limitation in the Sea: Dynamics, identification,
and
significance, Limnol. Oceanogr., 12, 685–695, 1967. a
Duteil, O., Koeve, W., Oschlies, A., Bianchi, D., Galbraith, E., Kriest, I.,
and Matear, R.: A novel estimate of ocean oxygen utilisation points to a
reduced rate of respiration in the ocean interior, Biogeosciences, 10,
7723–7738, https://doi.org/10.5194/bg-10-7723-2013, 2013. a
Eppley, R. W.: Temperature and phytoplankton growth in the sea, Fish.
B.-NOAA, 70, 1063–1085, 1972. a
Eppley, R. W., Rogers, J. N., and Mccarthy, J. J.: Half-saturation constants
for uptake of nitrate and ammonium by marine phytoplankton, Limnol.
Oceanogr., 14, 912–920, https://doi.org/10.4319/lo.1969.14.6.0912, 1969. a
Freing, A., Wallace, D. W. R., and Bange, H. W.: Global oceanic production
of
nitrous oxide, Philos. T. R. Soc. B, 367, 1245–1255, https://doi.org/10.1098/rstb.2011.0360, 2012. a
Friedli, H., Lötscher, H., Oeschger, H., Siegenthaler, U., and
Stauffer,
B.: Ice core record of the 13C/12C ratio of atmospheric CO2 in the past two
centuries, Nature, 324, 237–238, https://doi.org/10.1038/324237a0, 1986. a
Galbraith, E. D. and Martiny, A. C.: A simple nutrient-dependence mechanism
for predicting the stoichiometry of marine ecosystems, P.
Natl. Acad. Sci. USA, 112, 201423917,
https://doi.org/10.1073/pnas.1423917112, 2015. a
Galbraith, E. D., Kienast, M., Albuquerque, A. L., Altabet, M. A., Batista,
F.,
Bianchi, D., Calvert, S. E., Contreras, S., Crosta, X., De Pol-Holz, R.,
Dubois, N., Etourneau, J., Francois, R., Hsu, T. C., Ivanochko, T., Jaccard,
S. L., Kao, S. J., Kiefer, T., Kienast, S., Lehmann, M. F., Martinez, P.,
McCarthy, M., Meckler, A. N., Mix, A., Möbius, J., Pedersen, T. F.,
Pichevin, L., Quan, T. M., Robinson, R. S., Ryabenko, E., Schmittner, A.,
Schneider, R., Schneider-Mor, A., Shigemitsu, M., Sinclair, D., Somes, C.,
Studer, A. S., Tesdal, J. E., Thunell, R., and Terence Yang, J.: The
acceleration of oceanic denitrification during deglacial warming, Nat.
Geosci., 6, 579–584, https://doi.org/10.1038/ngeo1832, 2013. a, b
Ganeshram, R. S., Pedersen, T. F., Calvert, S. E., and Murray, J. W.: Large
changes in oceanic nutrient inventories from glacial to interglacial
periods, Nature, 376, 755–758, https://doi.org/10.1038/376755a0,
1995. a, b, c
Gruber, N. and Sarmiento, J. L.: Global patterns of marine nitrogen fixation
and denitrification, Global Biogeochem. Cy., 11, 235–266,
https://doi.org/10.1029/97GB00077, 1997. a
Gundersen, J. K. and Jorgensen, B. B.: Microstructure of diffusive boundary
layers and the oxygen uptake of the sea floor, Nature, 345, 604–607,
https://doi.org/10.1038/345604a0, 1990. a
Hoogakker, B. A., Lu, Z., Umling, N., Jones, L., Zhou, X., Rickaby, R. E.,
Thunell, R., Cartapanis, O., and Galbraith, E.: Glacial expansion of
oxygen-depleted seawater in the eastern tropical Pacific, Nature, 562,
410–413, https://doi.org/10.1038/s41586-018-0589-x,
2018. a, b
Hülse, D., Arndt, S., Wilson, J. D., Munhoven, G., and Ridgwell, A.:
Earth-Science Reviews Understanding the causes and consequences of past
marine carbon cycling variability through models, Earth-Sci. Revi.s,
171, 349–382, https://doi.org/10.1016/j.earscirev.2017.06.004,
2017. a
Hunter, J. D.: Matplotlib: A 2D graphics environment, Comput. Sci. Eng., 9,
90–95, 2007. a
Jahn, A., Lindsay, K., Giraud, X., Gruber, N., Otto-Bliesner, B. L., Liu, Z.,
and Brady, E. C.: Carbon isotopes in the ocean model of the Community Earth
System Model (CESM1), Geosci. Model Dev., 8, 2419–2434,
https://doi.org/10.5194/gmd-8-2419-2015, 2015. a
Karl, D. M. and Letelier, R. M.: Nitrogen fixation-enhanced carbon
sequestration in low nitrate, low chlorophyll seascapes, Mar. Ecol.
Prog. Ser., 364, 257–268, https://doi.org/10.3354/meps07547, 2008. a
Kemeny, P. C., Kast, E. R., Hain, M. P., Fawcett, S. E., Fripiat, F., Studer,
A. S., Martínez-García, A., Haug, G. H., and Sigman, D. M.: A
seasonal model of nitrogen isotopes in the ice age Antarctic Zone: Support
for weakening of the Southern Ocean upper overturning cell, Paleoceanography
and Paleoclimatology, 33, 1453–1471, https://doi.org/10.1029/2018PA003478,
2018. a
Kriest, I. and Oschlies, A.: MOPS-1.0: towards a model for the regulation of
the global oceanic nitrogen budget by marine biogeochemical processes,
Geosci. Model Dev., 8, 2929–2957, https://doi.org/10.5194/gmd-8-2929-2015,
2015. a
Kustka, A., Sañudo-Wilhelmy, S., Carpenter, E. J., Capone, D. G., and
Raven, J. A.: A revised estimate of the iron use efficiency of nitrogen
fixation, with special reference to the marine cyanobacterium Trichodesmium
spp. (Cyanophyta), J. Phycol., 39, 12–25,
https://doi.org/10.1046/j.1529-8817.2003.01156.x, 2003. a
Laws, E. A., Popp, B. N., Bidigare, R. R., Kennicutt, M. C., and Macko,
S. A.:
Dependence of phytoplankton carbon isotopic composition on growth rate and
[CO2)aq: Theoretical considerations and experimental results, Geochim.
Cosmochim. Ac., 59, 1131–1138, https://doi.org/10.1016/0016-7037(95)00030-4, 1995. a, b
Liu, Z., Altabet, M. A., and Herbert, T. D.: Plio-Pleistocene
denitrification in the eastern tropical North Pacific: Intensification at
2.1 Ma, Geochem. Geophy. Geosy., 9, 1–14, https://doi.org/10.1029/2008GC002044,
2008. a
Luo, Y.-W., Lima, I. D., Karl, D. M., Deutsch, C. A., and Doney, S. C.:
Data-based assessment of environmental controls on global marine nitrogen
fixation, Biogeosciences, 11, 691–708,
https://doi.org/10.5194/bg-11-691-2014, 2014. a
Mao, J., Phipps, S. J., Pitman, A. J., Wang, Y. P., Abramowitz, G., and Pak,
B.: The CSIRO Mk3L climate system model v1.0 coupled to the CABLE land
surface scheme v1.4b: evaluation of the control climatology, Geosci. Model
Dev., 4, 1115–1131, https://doi.org/10.5194/gmd-4-1115-2011, 2011. a
Marconi, D., Sigman, D. M., Casciotti, K. L., Campbell, E. C., Alexandra
Weigand, M., Fawcett, S. E., Knapp, A. N., Rafter, P. A., Ward, B. B., and
Haug, G. H.: Tropical Dominance of N2 Fixation in the North Atlantic
Ocean, Global Biogeochem. Cy., 31, 1608–1623,
https://doi.org/10.1002/2016GB005613, 2017. a
Mariotti, A., Germon, J., Hubert, P., Kaiser, P., Letolle, R., Tardieux, A.,
and Tardieux, P.: Experimental determination of nitrogen kinetic isotope
fractionation: some principles; ilustration for the denitrification and
nitrification process, Plant Soil, 62, 413–430,
https://doi.org/10.1007/BF02374138, 1981. a
Martin, J. H., Knauer, G. A., Karl, D. M., and Broenkow, W. W.: VERTEX:
carbon
cycling in the northeast Pacific, Deep-Sea Res. Pt. A, 34, 267–285, https://doi.org/10.1016/0198-0149(87)90086-0, 1987. a, b
Martinez-Garcia, A., Sigman, D. M., Ren, H., Anderson, R. F., Straub, M.,
Hodell, D. A., Jaccard, S. L., Eglinton, T. I., and Haug, G. H.: Iron
Fertilization of the Subantarctic Ocean During the Last Ice Age, Science,
343, 1347–1350, https://doi.org/10.1126/science.1246848, 2014. a, b
Matear, R. J. and Holloway, G.: Modeling the inorganic phosphorus cycle of
the
North Pacific using an adjoint data assimilation model to assess the role of
dissolved organic phosphorus, Global Biogeochem. Cy., 9, 101–119,
https://doi.org/10.1029/94GB03104, 1995. a
Matear, R. J. and Lenton, A.: Quantifying the impact of ocean acidification
on our future climate, Biogeosciences, 11, 3965–3983,
https://doi.org/10.5194/bg-11-3965-2014, 2014. a, b
Matear, R. J. and Lenton, A.: Carbon–climate feedbacks accelerate ocean
acidification, Biogeosciences, 15, 1721–1732,
https://doi.org/10.5194/bg-15-1721-2018, 2018. a
McGillicuddy, D. J.: Do Trichodesmium spp. populations in the North Atlantic
export most of the nitrogen they fix?, Global Biogeochem. Cy., 28,
103–114, https://doi.org/10.1002/2013GB004652, 2014. a
McRose, D. L., Lee, A., Kopf, S. H., Baars, O., Kraepiel, A. M., Sigman,
D. M.,
Morel, F. M., and Zhang, X.: Effect of iron limitation on the isotopic
composition of cellular and released fixed nitrogen in Azotobacter
vinelandii, Geochim. Cosmochim. Ac., 244, 12–23,
https://doi.org/10.1016/j.gca.2018.09.023,
2019. a
Meehl, G. A., Covey, C., Delworth, T., Latif, M., McAvaney, B., Mitchell, J.
F. B., Stouffer, R. J., Taylor, K. E., Meehl, G. A., Covey, C., Delworth, T.,
Latif, M., McAvaney, B., Mitchell, J. F. B., Stouffer, R. J., and Taylor,
K. E.: THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change
Research, B. Am. Meteorol. Soc., 88, 1383–1394,
https://doi.org/10.1175/BAMS-88-9-1383, 2007. a
Menviel, L., Yu, J., Joos, F., Mouchet, A., Meissner, K. J., and England,
M. H.: Poorly ventilated deep ocean at the Last Glacial Maximum inferred
from carbon isotopes: A data-model comparison study, Paleoceanography, 32,
2–17, https://doi.org/10.1002/2016PA003024, 2017a. a, b, c, d
Menviel, L., Yu, J., Joos, F., Mouchet, A., Meissner, K. J., and England, M. H.: LOVECLIM Last Glacial Maximum oceanic d13C and d14C v 1.0,
https://doi.org/10.4225/41/58192cb8bff06, 2017b. a
Mills, M. M. and Arrigo, K. R.: Magnitude of oceanic nitrogen fixation
influenced by the nutrient uptake ratio of phytoplankton, Nat. Geosci.,
3, 412–416, https://doi.org/10.1038/ngeo856, 2010. a
Moore, C. M., Mills, M. M., Arrigo, K. R., Berman-Frank, I., Bopp, L., Boyd,
P. W., Galbraith, E. D., Geider, R. J., Guieu, C., Jaccard, S. L., Jickells,
T. D., La Roche, J., Lenton, T. M., Mahowald, N. M., Marañón,
E., Marinov, I., Moore, J. K., Nakatsuka, T., Oschlies, A., Saito, M. A.,
Thingstad, T. F., Tsuda, A., and Ulloa, O.: Processes and patterns of
oceanic nutrient limitation, Nat. Geosci., 6, 701–710,
https://doi.org/10.1038/ngeo1765, 2013. a
Muglia, J., Skinner, L. C., and Schmittner, A.: Weak overturning circulation
and high Southern Ocean nutrient utilization maximized glacial ocean carbon,
Earth Planet. Sc. Lett., 496, 47–56,
https://doi.org/10.1016/j.epsl.2018.05.038, 2018. a, b
Orr, J. C., Najjar, R. G., Aumont, O., Bopp, L., Bullister, J. L.,
Danabasoglu, G., Doney, S. C., Dunne, J. P., Dutay, J.-C., Graven, H.,
Griffies, S. M., John, J. G., Joos, F., Levin, I., Lindsay, K., Matear, R.
J., McKinley, G. A., Mouchet, A., Oschlies, A., Romanou, A., Schlitzer, R.,
Tagliabue, A., Tanhua, T., and Yool, A.: Biogeochemical protocols and
diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP), Geosci.
Model Dev., 10, 2169–2199, https://doi.org/10.5194/gmd-10-2169-2017, 2017. a, b
Ortiz, J. D., Mix, A., Rugh, W., Watkins, J., and Collier, R.: Deep-dwelling
planktonic foraminifera of the northeastern Pacific Ocean reveal
environmental control of oxygen and carbon isotopic disequilibria, Geochim.
Cosmochim. Ac., 60, 4509–4523, 1996. a
Oschlies, A.: Equatorial nutrient trapping in biogeochemical ocean models:
The
role of advection numerics, Global Biogeochem. Cy., 14, 655–667,
https://doi.org/10.1029/1999GB001217, 2000. a
Oschlies, A., Schulz, K. G., Riebesell, U., and Schmittner, A.: Simulated
21st
century's increase in oceanic suboxia by CO2-enhanced biotic carbon
export, Global Biogeochem. Cy., 22, 1–10, https://doi.org/10.1029/2007GB003147,
2008. a
Paulmier, A., Kriest, I., and Oschlies, A.: Stoichiometries of
remineralisation and denitrification in global biogeochemical ocean models,
Biogeosciences, 6, 923–935, https://doi.org/10.5194/bg-6-923-2009, 2009. a, b, c
Phipps, S. J., McGregor, H. V., Gergis, J., Gallant, A. J. E., Neukom, R.,
Stevenson, S., Ackerley, D., Brown, J. R., Fischer, M. J., and van Ommen,
T. D.: Paleoclimate Data-Model Comparison and the Role of Climate Forcings
over the Past 1500 Years, J. Climate, 26, 6915–6936,
https://doi.org/10.1175/JCLI-D-12-00108.1, 2013. a, b
Rafter, P. A., Sigman, D. M., and Mackey, K. R.: Recycled iron fuels new
production in the eastern equatorial Pacific Ocean, Nat. Commun.,
8, 1100, https://doi.org/10.1038/s41467-017-01219-7, 2017. a
Redfield, A. C., Smith, H. P., and Ketchum, B. H.: The cycle of organic
phosphorus in the Gulf of Maine, Biol. Bull., 73, 421–443,
1937. a
Ren, H., Sigman, D. M., Meckler, A. N., Plessen, B., Robinson, R. S.,
Rosenthal, Y., and Haug, G. H.: Foraminiferal Isotope Evidence of Reduced
Nitrogen Fixation in the Ice Age Atlantic Ocean, Science, 323, 244–248,
https://doi.org/10.1126/science.1165787, 2009. a
Ridgwell, A., Hargreaves, J. C., Edwards, N. R., Annan, J. D., Lenton, T. M.,
Marsh, R., Yool, A., and Watson, A.: Marine geochemical data assimilation in
an efficient Earth System Model of global biogeochemical cycling,
Biogeosciences, 4, 87–104, https://doi.org/10.5194/bg-4-87-2007, 2007. a
Robinson, R. S., Kienast, M., Luiza Albuquerque, A., Altabet, M.,
Contreras,
S., De Pol Holz, R., Dubois, N., Francois, R., Galbraith, E., Hsu, T. C.,
Ivanochko, T., Jaccard, S., Kao, S. J., Kiefer, T., Kienast, S., Lehmann, M.,
Martinez, P., McCarthy, M., Möbius, J., Pedersen, T., Quan, T. M.,
Ryabenko, E., Schmittner, A., Schneider, R., Schneider-Mor, A., Shigemitsu,
M., Sinclair, D., Somes, C., Studer, A., Thunell, R., and Yang, J. Y.: A
review of nitrogen isotopic alteration in marine sediments,
Paleoceanography, 27, PA4203, https://doi.org/10.1029/2012PA002321, 2012. a, b, c
Schmittner, A., Oschlies, A., Matthews, H. D., and Galbraith, E. D.: Future
changes in climate, ocean circulation, ecosystems, and biogeochemical cycling
simulated for a business-as-usual CO2 emission scenario until year 4000 AD,
Global Biogeochem. Cy., 22, GB1013, https://doi.org/10.1029/2007GB002953, 2008. a, b
Schmittner, A., Gruber, N., Mix, A. C., Key, R. M., Tagliabue, A., and
Westberry, T. K.: Biology and air–sea gas exchange controls on the
distribution of carbon isotope ratios (δ13C) in the ocean,
Biogeosciences, 10, 5793–5816, https://doi.org/10.5194/bg-10-5793-2013,
2013. a, b, c
Schmittner, A., Bostock, H. C., Cartapanis, O., Curry, W. B., Filipsson,
H. L.,
Galbraith, E. D., Gottschalk, J., Herguera, J. C., Hoogakker, B., Jaccard,
S. L., Lisiecki, L. E., Lund, D. C., Martínez-Méndez, G.,
Lynch-Stieglitz, J., Mackensen, A., Michel, E., Mix, A. C., Oppo, D. W.,
Peterson, C. D., Repschläger, J., Sikes, E. L., Spero, H. J., and
Waelbroeck, C.: Calibration of the carbon isotope composition (δ13C)
of benthic foraminifera, Paleoceanography, 32, 512–530,
https://doi.org/10.1002/2016PA003072, 2017. a, b, c, d, e, f, g, h, i, j, k
Sigman, D., Karsh, K., and Casciotti, K.: Nitrogen Isotopes in the Ocean,
in:
Encyclopedia of Ocean Sciences, Elsevier, 40–54,
https://doi.org/10.1016/B978-012374473-9.00632-9, 2009. a, b, c, d
Sigman, D. M., Hain, M. P., and Haug, G. H.: The polar ocean and glacial
cycles in atmospheric CO2 concentration, Nature, 466, 47–55,
https://doi.org/10.1038/nature09149, 2010. a
Sipler, R. E., Gong, D., Baer, S. E., Sanderson, M. P., Roberts, Q. N.,
Mulholland, M. R., and Bronk, D. A.: Preliminary estimates of the
contribution of Arctic nitrogen fixation to the global nitrogen budget,
Limnol. Oceanogr. Lett., 2, 159–166, https://doi.org/10.1002/lol2.10046,
2017. a
Smith, I.: Global climate modelling within CSIRO: 1981 to 2006, Aust.
Meteorol. Mag., 56, 153–166, 2007. a
Smith, R. E. H.: Size-dependent phosphorus uptake kinetics and cell quota in
phytoplankton, J. Phycol., 18, 275–284, 1982. a
Smith, S., Yamanaka, Y., Pahlow, M., and Oschlies, A.: Optimal uptake
kinetics: physiological acclimation explains the pattern of nitrate uptake by
phytoplankton in the ocean, Mar. Ecol. Prog. Ser., 384, 1–12,
https://doi.org/10.3354/meps08022, 2009. a
Sohm, J. A., Webb, E. A., and Capone, D. G.: Emerging patterns of marine
nitrogen fixation., Nature reviews, Microbiology, 9, 499–508,
https://doi.org/10.1038/nrmicro2594, 2011. a
Solomon, S., Qin, D., Manning, M., Averyt, K., and Marquis, M.: Climate
change
2007-the physical science basis: Working group I contribution to the fourth
assessment report of the IPCC, vol. 4, Cambridge university press, 2007. a
Somes, C. J., Schmittner, A., Galbraith, E. D., Lehmann, M. F., Altabet,
M. A.,
Montoya, J. P., Letelier, R. M., Mix, A. C., Bourbonnais, A., and Eby, M.:
Simulating the global distribution of nitrogen isotopes in the ocean,
Global Biogeochem. Cy., 24, 1–16, https://doi.org/10.1029/2009GB003767, 2010. a
Somes, C. J., Oschlies, A., and Schmittner, A.: Isotopic constraints on the pre-industrial oceanic nitrogen budget, Biogeosciences, 10, 5889–5910, https://doi.org/10.5194/bg-10-5889-2013, 2013. a, b
Straub, M., Sigman, D. M., Ren, H., Martínez-García, A., Meckler,
A. N., Hain, M. P., and Haug, G. H.: Changes in North Atlantic nitrogen
fixation controlled by ocean circulation, Nature, 501, p. 200, https://doi.org/10.1038/nature12397,
2013. a
Studer, A. S., Sigman, D. M., Martínez-García, A., Thöle,
L. M., Michel, E., Jaccard, S. L., Lippold, J. A., Mazaud, A., Wang, X. T.,
Robinson, L. F., Adkins, J. F., and Haug, G. H.: Increased nutrient supply
to the Southern Ocean during the Holocene and its implications for the
pre-industrial atmospheric CO2 rise, Nat. Geosci., 11, 756–760,
https://doi.org/10.1038/s41561-018-0191-8, 2018. a, b, c
Tagliabue, A. and Bopp, L.: Towards understanding global variability in
ocean
carbon-13, Global Biogeochem. Cy., 22, 1–13,
https://doi.org/10.1029/2007GB003037, 2008. a, b, c
Tagliabue, A., Bopp, L., Roche, D. M., Bouttes, N., Dutay, J.-C., Alkama, R.,
Kageyama, M., Michel, E., and Paillard, D.: Quantifying the roles of ocean
circulation and biogeochemistry in governing ocean carbon-13 and atmospheric
carbon dioxide at the last glacial maximum, Clim. Past, 5, 695–706,
https://doi.org/10.5194/cp-5-695-2009, 2009. a, b
Taylor, K. E.: Summarizing multiple aspects of model performance in a single
diagram, J. Geophys. Res., 106, 7183,
https://doi.org/10.1029/2000JD900719, 2001. a, b
Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., and DiMarco,
S. F.: True Colors of Oceanography: Guidelines for Effective and Accurate
Colormap Selection, Oceanography, 29, 9–13, 2016. a
Timmermans, K. R., Gerringa, L. J. A., Baar, H. J. W. D., Der, B. V.,
Veldhuis,
M. J. W., Jong, J. T. M. D., Croot, P. L., Boye, M., and Boye, M.: Growth
rates of large and small Southern Ocean diatoms in relation to availability
of iron in natural seawater, Limnol. Oceanogr., 46, 260–266, 2001. a
Timmermans, K. R., van der Wagt, B., and de Baar, H. J. W.: Growth rates,
half-saturation constants, and silicate, nitrate, and phosphate depletion in
relation to iron availability of four large, open-ocean diatoms from the
Southern Ocean, Limnol. Oceanogr., 49, 2141–2151,
https://doi.org/10.4319/lo.2004.49.6.2141, 2004. a
Toggweiler, J. R., Dixon, K., and Bryan, K.: Simulations of radiocarbon in a
coarse-resolution world ocean model: 2. Distributions of bomb-produced carbon
14, J. Geophys. Res., 94, 8243,
https://doi.org/10.1029/JC094iC06p08243, 1989. a
Voss, M., Dippner, J. W., and Montoya, J. P.: Nitrogen isotope patterns in
the
oxygen-deficient waters of the Eastern Tropical North Pacific Ocean, Deep-Sea Res. Pt. I, 48, 1905–1921,
https://doi.org/10.1016/S0967-0637(00)00110-2, 2001. a
Wada, E.: Nitrogen isotope fractionation and its significance in
biogeochemical
processes occurring in marine environments, Isotope marine chemistry,
375–398, 1980. a
Weber, T., Cram, J. A., Leung, S. W., DeVries, T., and Deutsch, C.: Deep
ocean
nutrients imply large latitudinal variation in particle transfer efficiency,
P. Natl. Acad. Sci. USA, 113, 8606–8611,
https://doi.org/10.1073/pnas.1604414113, 2016. a, b
Wolf-Gladrow, D. A., Zeebe, R. E., Klaas, C., Körtzinger, A., and
Dickson, A. G.: Total alkalinity: The explicit conservative expression and
its application to biogeochemical processes, Mar. Chem., 106,
287–300, https://doi.org/10.1016/j.marchem.2007.01.006, 2007. a
Yamanaka, Y. and Tajika, E.: The role of the vertical fluxes of particulate
organic matter and calcite in the oceanic carbon cycle: Studies using an
ocean biogeochemical general circulation model, Global Biogeochem.
Cy., 10, 361–382, https://doi.org/10.1029/96GB00634, 1996. a, b
Yang, S. and Gruber, N.: The anthropogenic perturbation of the marine
nitrogen
cycle by atmospheric deposition, Global Biogeochem. Cy., 30,
1418–1440, 2016. a
Zhang, H. and Cao, L.: Simulated effect of calcification feedback on
atmospheric CO2 and ocean acidification, Sci. Rep.-UK, 6, 1–10,
https://doi.org/10.1038/srep20284, 2016.
a, b
Zhang, J., Quay, P., and Wilbur, D.: Carbon isotope fractionation during
gas-water exchange and dissolution of CO2, Geochim. Cosmochim. Ac.,
59, 107–114, 1995. a
Zondervan, I., Zeebe, R. E., Rost, B., and Riebesell, U.: Decreasing marine
biogenic calcification: A negative feedback on rising atmospheric pCO2,
Global Biogeochem. Cy., 15, 507–516, 2001. a
Short summary
Oceanic sediment cores are commonly used to understand past climates. The composition of the sediments changes with the ocean above it. An understanding of oceanographic conditions that existed many thousands of years ago, in some cases many millions of years ago, can therefore be extracted from sediment cores. We simulate two chemical signatures (13C and 15N) of sediment cores in a model. This study assesses the model before it is applied to reinterpret the sedimentary record.
Oceanic sediment cores are commonly used to understand past climates. The composition of the...
Special issue