Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2649-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-2649-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
09 Jul 2018
Model description paper |
| 09 Jul 2018
| 09 Jul 2018
OMEN-SED 1.0: a novel, numerically efficient organic matter sediment diagenesis module for coupling to Earth system models
BRIDGE, School of Geographical Sciences, University of Bristol, Clifton, Bristol BS8 1SS, UK
Department of Earth Sciences, University of California, Riverside, CA 92521, USA
Sandra Arndt
BRIDGE, School of Geographical Sciences, University of Bristol, Clifton, Bristol BS8 1SS, UK
BGeosys, Department Geoscience, Environment & Society (DGES), Université Libre de Bruxelles, Brussels, Belgium
Stuart Daines
Earth System Science, University of Exeter, North Park Road, Exeter EX4 4QE, UK
Pierre Regnier
BGeosys, Department Geoscience, Environment & Society (DGES), Université Libre de Bruxelles, Brussels, Belgium
Andy Ridgwell
BRIDGE, School of Geographical Sciences, University of Bristol, Clifton, Bristol BS8 1SS, UK
Department of Earth Sciences, University of California, Riverside, CA 92521, USA
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We present the first model analysis using a fully coupled dynamic atmosphere–ocean–vegetation GCM over the last 120 kyr that quantifies the net effect of vegetation on climate. This analysis shows that over the whole period the biogeophysical effect (albedo, evapotranspiration) is dominant, and that the biogeochemical impacts may have a lower possible range than typically estimated. This emphasises the temporal reliance of the balance between biogeophysical and biogeochemical effects.
Ronny Lauerwald, Pierre Regnier, Marta Camino-Serrano, Bertrand Guenet, Matthieu Guimberteau, Agnès Ducharne, Jan Polcher, and Philippe Ciais
Geosci. Model Dev., 10, 3821–3859, https://doi.org/10.5194/gmd-10-3821-2017, https://doi.org/10.5194/gmd-10-3821-2017, 2017
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ORCHILEAK is a new branch of the terrestrial ecosystem model ORCHIDEE that represents dissolved organic carbon (DOC) production from canopy and soils, DOC and CO2 leaching from soils to streams, DOC decomposition, and CO2 evasion to the atmosphere during its lateral transport in rivers, as well as exchange with the soil carbon and litter stocks on floodplains and in swamps. We parameterized and validated ORCHILEAK for the Amazon basin.
Goulven G. Laruelle, Peter Landschützer, Nicolas Gruber, Jean-Louis Tison, Bruno Delille, and Pierre Regnier
Biogeosciences, 14, 4545–4561, https://doi.org/10.5194/bg-14-4545-2017, https://doi.org/10.5194/bg-14-4545-2017, 2017
Goulven Gildas Laruelle, Nicolas Goossens, Sandra Arndt, Wei-Jun Cai, and Pierre Regnier
Biogeosciences, 14, 2441–2468, https://doi.org/10.5194/bg-14-2441-2017, https://doi.org/10.5194/bg-14-2441-2017, 2017
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The C-GEM generic reactive-transport model is applied to each tidal estuary of the US East Coast. Seasonal simulations are performed, which allows the understanding and quantification of the effect of the estuarine filter on the lateral fluxes of carbon coming from rivers.
Chiara Volta, Goulven Gildas Laruelle, Sandra Arndt, and Pierre Regnier
Hydrol. Earth Syst. Sci., 20, 991–1030, https://doi.org/10.5194/hess-20-991-2016, https://doi.org/10.5194/hess-20-991-2016, 2016
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A generic estuarine model is applied to three idealized tidal estuaries representing the main hydro-geometrical estuarine classes. The study provides insight into the estuarine biogeochemical dynamics, in particular the air-water CO2/sub> flux, as well as the potential response to future environmental changes and to uncertainties in model parameter values. We believe that our approach could help improving upscaling strategies to better integrate estuaries in regional/global biogeochemical studies.
J. D. Wilson, A. Ridgwell, and S. Barker
Biogeosciences, 12, 5547–5562, https://doi.org/10.5194/bg-12-5547-2015, https://doi.org/10.5194/bg-12-5547-2015, 2015
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We explore whether ocean model transport rates, in the form of a transport matrix, can be used to estimate remineralisation rates from dissolved nutrient concentrations and infer vertical fluxes of particulate organic carbon. Estimated remineralisation rates are significantly sensitive to uncertainty in the observations and the modelled circulation. The remineralisation of dissolved organic matter is an additional source of uncertainty when inferring vertical fluxes from remineralisation rates.
N. S. Jones, A. Ridgwell, and E. J. Hendy
Biogeosciences, 12, 1339–1356, https://doi.org/10.5194/bg-12-1339-2015, https://doi.org/10.5194/bg-12-1339-2015, 2015
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Production of calcium carbonate by coral reefs is important in the global carbon cycle. Using a global framework we evaluate four models of reef calcification against observed values. The temperature-only model showed significant skill in reproducing coral calcification rates. The absence of any predictive power for whole reef systems highlights the importance of coral cover and the need for an ecosystem modelling approach accounting for population dynamics in terms of mortality and recruitment.
R. Death, J. L. Wadham, F. Monteiro, A. M. Le Brocq, M. Tranter, A. Ridgwell, S. Dutkiewicz, and R. Raiswell
Biogeosciences, 11, 2635–2643, https://doi.org/10.5194/bg-11-2635-2014, https://doi.org/10.5194/bg-11-2635-2014, 2014
G. Colbourn, A. Ridgwell, and T. M. Lenton
Geosci. Model Dev., 6, 1543–1573, https://doi.org/10.5194/gmd-6-1543-2013, https://doi.org/10.5194/gmd-6-1543-2013, 2013
M. Eby, A. J. Weaver, K. Alexander, K. Zickfeld, A. Abe-Ouchi, A. A. Cimatoribus, E. Crespin, S. S. Drijfhout, N. R. Edwards, A. V. Eliseev, G. Feulner, T. Fichefet, C. E. Forest, H. Goosse, P. B. Holden, F. Joos, M. Kawamiya, D. Kicklighter, H. Kienert, K. Matsumoto, I. I. Mokhov, E. Monier, S. M. Olsen, J. O. P. Pedersen, M. Perrette, G. Philippon-Berthier, A. Ridgwell, A. Schlosser, T. Schneider von Deimling, G. Shaffer, R. S. Smith, R. Spahni, A. P. Sokolov, M. Steinacher, K. Tachiiri, K. Tokos, M. Yoshimori, N. Zeng, and F. Zhao
Clim. Past, 9, 1111–1140, https://doi.org/10.5194/cp-9-1111-2013, https://doi.org/10.5194/cp-9-1111-2013, 2013
P. B. Holden, N. R. Edwards, S. A. Müller, K. I. C. Oliver, R. M. Death, and A. Ridgwell
Biogeosciences, 10, 1815–1833, https://doi.org/10.5194/bg-10-1815-2013, https://doi.org/10.5194/bg-10-1815-2013, 2013
Related subject area
Climate and Earth system modeling
Linking global terrestrial and ocean biogeochemistry with process-based, coupled freshwater algae–nutrient–solid dynamics in LM3-FANSY v1.0
Validating a microphysical prognostic stratospheric aerosol implementation in E3SMv2 using observations after the Mount Pinatubo eruption
Implementing detailed nucleation predictions in the Earth system model EC-Earth3.3.4: sulfuric acid–ammonia nucleation
Modeling biochar effects on soil organic carbon on croplands in a microbial decomposition model (MIMICS-BC_v1.0)
Hector V3.2.0: functionality and performance of a reduced-complexity climate model
Evaluation of CMIP6 model simulations of PM2.5 and its components over China
Assessment of a tiling energy budget approach in a land surface model, ORCHIDEE-MICT (r8205)
Multivariate adjustment of drizzle bias using machine learning in European climate projections
Development and evaluation of the interactive Model for Air Pollution and Land Ecosystems (iMAPLE) version 1.0
A perspective on the next generation of Earth system model scenarios: towards representative emission pathways (REPs)
Parallel SnowModel (v1.0): a parallel implementation of a distributed snow-evolution modeling system (SnowModel)
LB-SCAM: a learning-based method for efficient large-scale sensitivity analysis and tuning of the Single Column Atmosphere Model (SCAM)
Quantifying the impact of SST feedback frequency on Madden–Julian oscillation simulations
Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3
A revised model of global silicate weathering considering the influence of vegetation cover on erosion rate
A radiative–convective model computing precipitation with the maximum entropy production hypothesis
Leveraging regional mesh refinement to simulate future climate projections for California using the Simplified Convection-Permitting E3SM Atmosphere Model Version 0
Machine learning parameterization of the multi-scale Kain–Fritsch (MSKF) convection scheme and stable simulation coupled in the Weather Research and Forecasting (WRF) model using WRF–ML v1.0
Impacts of spatial heterogeneity of anthropogenic aerosol emissions in a regionally refined global aerosol–climate model
cfr (v2024.1.26): a Python package for climate field reconstruction
NEWTS1.0: Numerical model of coastal Erosion by Waves and Transgressive Scarps
Evaluation of isoprene emissions from the coupled model SURFEX–MEGANv2.1
A comprehensive Earth system model (AWI-ESM2.1) with interactive icebergs: effects on surface and deep-ocean characteristics
The regional climate–chemistry–ecology coupling model RegCM-Chem (v4.6)–YIBs (v1.0): development and application
An overview of cloud–radiation denial experiments for the Energy Exascale Earth System Model version 1
The computational and energy cost of simulation and storage for climate science: lessons from CMIP6
Subgrid-scale variability of cloud ice in the ICON-AES 1.3.00
INFERNO-peat v1.0.0: a representation of northern high-latitude peat fires in the JULES-INFERNO global fire model
The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2
Continental-scale bias-corrected climate and hydrological projections for Australia
G6-1.5K-SAI: a new Geoengineering Model Intercomparison Project (GeoMIP) experiment integrating recent advances in solar radiation modification studies
Modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4.8.0
A one-dimensional urban flow model with an eddy-diffusivity mass-flux (EDMF) scheme and refined turbulent transport (MLUCM v3.0)
DCMIP2016: the tropical cyclone test case
Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP
Applying double-cropping and interactive irrigation in the North China Plain using WRF4.5
CD-type discretization for sea ice dynamics in FESOM version 2
Dynamic MJO forecasts using an ensemble subseasonal-to-seasonal forecast system of IAP-CAS model
CSDMS Data Components: data–model integration tools for Earth surface processes modeling
A generic algorithm to automatically classify urban fabric according to the local climate zone system: implementation in GeoClimate 0.0.1 and application to French cities
Modelling water isotopologues (1H2H16O, 1H217O) in the coupled numerical climate model iLOVECLIM (version 1.1.5)
Localized injections of interactive volcanic aerosols and their climate impacts in a simple general circulation model
CICERO Simple Climate Model (CICERO-SCM v1.1.1) – an improved simple climate model with a parameter calibration tool
Accurate assessment of land–atmosphere coupling in climate models requires high-frequency data output
Towards variance-conserving reconstructions of climate indices with Gaussian process regression in an embedding space
A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1
Carbon isotopes in the marine biogeochemistry model FESOM2.1-REcoM3
Flux coupling approach on an exchange grid for the IOW Earth System Model (version 1.04.00) of the Baltic Sea region
Using EUREC4A/ATOMIC field campaign data to improve trade wind regimes in the Community Atmosphere Model
New model ensemble reveals how forcing uncertainty and model structure alter climate simulated across CMIP generations of the Community Earth System Model
Minjin Lee, Charles A. Stock, John P. Dunne, and Elena Shevliakova
Geosci. Model Dev., 17, 5191–5224, https://doi.org/10.5194/gmd-17-5191-2024, https://doi.org/10.5194/gmd-17-5191-2024, 2024
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Modeling global freshwater solid and nutrient loads, in both magnitude and form, is imperative for understanding emerging eutrophication problems. Such efforts, however, have been challenged by the difficulty of balancing details of freshwater biogeochemical processes with limited knowledge, input, and validation datasets. Here we develop a global freshwater model that resolves intertwined algae, solid, and nutrient dynamics and provide performance assessment against measurement-based estimates.
Hunter York Brown, Benjamin Wagman, Diana Bull, Kara Peterson, Benjamin Hillman, Xiaohong Liu, Ziming Ke, and Lin Lin
Geosci. Model Dev., 17, 5087–5121, https://doi.org/10.5194/gmd-17-5087-2024, https://doi.org/10.5194/gmd-17-5087-2024, 2024
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Explosive volcanic eruptions lead to long-lived, microscopic particles in the upper atmosphere which act to cool the Earth's surface by reflecting the Sun's light back to space. We include and test this process in a global climate model, E3SM. E3SM is tested against satellite and balloon observations of the 1991 eruption of Mt. Pinatubo, showing that with these particles in the model we reasonably recreate Pinatubo and its global effects. We also explore how particle size leads to these effects.
Carl Svenhag, Moa K. Sporre, Tinja Olenius, Daniel Yazgi, Sara M. Blichner, Lars P. Nieradzik, and Pontus Roldin
Geosci. Model Dev., 17, 4923–4942, https://doi.org/10.5194/gmd-17-4923-2024, https://doi.org/10.5194/gmd-17-4923-2024, 2024
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Our research shows the importance of modeling new particle formation (NPF) and growth of particles in the atmosphere on a global scale, as they influence the outcomes of clouds and our climate. With the global model EC-Earth3 we show that using a new method for NPF modeling, which includes new detailed processes with NH3 and H2SO4, significantly impacts the number of particles in the air and clouds and changes the radiation balance of the same magnitude as anthropogenic greenhouse emissions.
Mengjie Han, Qing Zhao, Xili Wang, Ying-Ping Wang, Philippe Ciais, Haicheng Zhang, Daniel S. Goll, Lei Zhu, Zhe Zhao, Zhixuan Guo, Chen Wang, Wei Zhuang, Fengchang Wu, and Wei Li
Geosci. Model Dev., 17, 4871–4890, https://doi.org/10.5194/gmd-17-4871-2024, https://doi.org/10.5194/gmd-17-4871-2024, 2024
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The impact of biochar (BC) on soil organic carbon (SOC) dynamics is not represented in most land carbon models used for assessing land-based climate change mitigation. Our study develops a BC model that incorporates our current understanding of BC effects on SOC based on a soil carbon model (MIMICS). The BC model can reproduce the SOC changes after adding BC, providing a useful tool to couple dynamic land models to evaluate the effectiveness of BC application for CO2 removal from the atmosphere.
Kalyn Dorheim, Skylar Gering, Robert Gieseke, Corinne Hartin, Leeya Pressburger, Alexey N. Shiklomanov, Steven J. Smith, Claudia Tebaldi, Dawn L. Woodard, and Ben Bond-Lamberty
Geosci. Model Dev., 17, 4855–4869, https://doi.org/10.5194/gmd-17-4855-2024, https://doi.org/10.5194/gmd-17-4855-2024, 2024
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Hector is an easy-to-use, global climate–carbon cycle model. With its quick run time, Hector can provide climate information from a run in a fraction of a second. Hector models on a global and annual basis. Here, we present an updated version of the model, Hector V3. In this paper, we document Hector’s new features. Hector V3 is capable of reproducing historical observations, and its future temperature projections are consistent with those of more complex models.
Fangxuan Ren, Jintai Lin, Chenghao Xu, Jamiu A. Adeniran, Jingxu Wang, Randall V. Martin, Aaron van Donkelaar, Melanie S. Hammer, Larry W. Horowitz, Steven T. Turnock, Naga Oshima, Jie Zhang, Susanne Bauer, Kostas Tsigaridis, Øyvind Seland, Pierre Nabat, David Neubauer, Gary Strand, Twan van Noije, Philippe Le Sager, and Toshihiko Takemura
Geosci. Model Dev., 17, 4821–4836, https://doi.org/10.5194/gmd-17-4821-2024, https://doi.org/10.5194/gmd-17-4821-2024, 2024
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We evaluate the performance of 14 CMIP6 ESMs in simulating total PM2.5 and its 5 components over China during 2000–2014. PM2.5 and its components are underestimated in almost all models, except that black carbon (BC) and sulfate are overestimated in two models, respectively. The underestimation is the largest for organic carbon (OC) and the smallest for BC. Models reproduce the observed spatial pattern for OC, sulfate, nitrate and ammonium well, yet the agreement is poorer for BC.
Yi Xi, Chunjing Qiu, Yuan Zhang, Dan Zhu, Shushi Peng, Gustaf Hugelius, Jinfeng Chang, Elodie Salmon, and Philippe Ciais
Geosci. Model Dev., 17, 4727–4754, https://doi.org/10.5194/gmd-17-4727-2024, https://doi.org/10.5194/gmd-17-4727-2024, 2024
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The ORCHIDEE-MICT model can simulate the carbon cycle and hydrology at a sub-grid scale but energy budgets only at a grid scale. This paper assessed the implementation of a multi-tiling energy budget approach in ORCHIDEE-MICT and found warmer surface and soil temperatures, higher soil moisture, and more soil organic carbon across the Northern Hemisphere compared with the original version.
Georgia Lazoglou, Theo Economou, Christina Anagnostopoulou, George Zittis, Anna Tzyrkalli, Pantelis Georgiades, and Jos Lelieveld
Geosci. Model Dev., 17, 4689–4703, https://doi.org/10.5194/gmd-17-4689-2024, https://doi.org/10.5194/gmd-17-4689-2024, 2024
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This study focuses on the important issue of the drizzle bias effect in regional climate models, described by an over-prediction of the number of rainy days while underestimating associated precipitation amounts. For this purpose, two distinct methodologies are applied and rigorously evaluated. These results are encouraging for using the multivariate machine learning method random forest to increase the accuracy of climate models concerning the projection of the number of wet days.
Xu Yue, Hao Zhou, Chenguang Tian, Yimian Ma, Yihan Hu, Cheng Gong, Hui Zheng, and Hong Liao
Geosci. Model Dev., 17, 4621–4642, https://doi.org/10.5194/gmd-17-4621-2024, https://doi.org/10.5194/gmd-17-4621-2024, 2024
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We develop the interactive Model for Air Pollution and Land Ecosystems (iMAPLE). The model considers the full coupling between carbon and water cycles, dynamic fire emissions, wetland methane emissions, biogenic volatile organic compound emissions, and trait-based ozone vegetation damage. Evaluations show that iMAPLE is a useful tool for the study of the interactions among climate, chemistry, and ecosystems.
Malte Meinshausen, Carl-Friedrich Schleussner, Kathleen Beyer, Greg Bodeker, Olivier Boucher, Josep G. Canadell, John S. Daniel, Aïda Diongue-Niang, Fatima Driouech, Erich Fischer, Piers Forster, Michael Grose, Gerrit Hansen, Zeke Hausfather, Tatiana Ilyina, Jarmo S. Kikstra, Joyce Kimutai, Andrew D. King, June-Yi Lee, Chris Lennard, Tabea Lissner, Alexander Nauels, Glen P. Peters, Anna Pirani, Gian-Kasper Plattner, Hans Pörtner, Joeri Rogelj, Maisa Rojas, Joyashree Roy, Bjørn H. Samset, Benjamin M. Sanderson, Roland Séférian, Sonia Seneviratne, Christopher J. Smith, Sophie Szopa, Adelle Thomas, Diana Urge-Vorsatz, Guus J. M. Velders, Tokuta Yokohata, Tilo Ziehn, and Zebedee Nicholls
Geosci. Model Dev., 17, 4533–4559, https://doi.org/10.5194/gmd-17-4533-2024, https://doi.org/10.5194/gmd-17-4533-2024, 2024
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The scientific community is considering new scenarios to succeed RCPs and SSPs for the next generation of Earth system model runs to project future climate change. To contribute to that effort, we reflect on relevant policy and scientific research questions and suggest categories for representative emission pathways. These categories are tailored to the Paris Agreement long-term temperature goal, high-risk outcomes in the absence of further climate policy and worlds “that could have been”.
Ross Mower, Ethan D. Gutmann, Glen E. Liston, Jessica Lundquist, and Soren Rasmussen
Geosci. Model Dev., 17, 4135–4154, https://doi.org/10.5194/gmd-17-4135-2024, https://doi.org/10.5194/gmd-17-4135-2024, 2024
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Higher-resolution model simulations are better at capturing winter snowpack changes across space and time. However, increasing resolution also increases the computational requirements. This work provides an overview of changes made to a distributed snow-evolution modeling system (SnowModel) to allow it to leverage high-performance computing resources. Continental simulations that were previously estimated to take 120 d can now be performed in 5 h.
Jiaxu Guo, Juepeng Zheng, Yidan Xu, Haohuan Fu, Wei Xue, Lanning Wang, Lin Gan, Ping Gao, Wubing Wan, Xianwei Wu, Zhitao Zhang, Liang Hu, Gaochao Xu, and Xilong Che
Geosci. Model Dev., 17, 3975–3992, https://doi.org/10.5194/gmd-17-3975-2024, https://doi.org/10.5194/gmd-17-3975-2024, 2024
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To enhance the efficiency of experiments using SCAM, we train a learning-based surrogate model to facilitate large-scale sensitivity analysis and tuning of combinations of multiple parameters. Employing a hybrid method, we investigate the joint sensitivity of multi-parameter combinations across typical cases, identifying the most sensitive three-parameter combination out of 11. Subsequently, we conduct a tuning process aimed at reducing output errors in these cases.
Yung-Yao Lan, Huang-Hsiung Hsu, and Wan-Ling Tseng
Geosci. Model Dev., 17, 3897–3918, https://doi.org/10.5194/gmd-17-3897-2024, https://doi.org/10.5194/gmd-17-3897-2024, 2024
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This study uses the CAM5–SIT coupled model to investigate the effects of SST feedback frequency on the MJO simulations with intervals at 30 min, 1, 3, 6, 12, 18, 24, and 30 d. The simulations become increasingly unrealistic as the frequency of the SST feedback decreases. Our results suggest that more spontaneous air--sea interaction (e.g., ocean response within 3 d in this study) with high vertical resolution in the ocean model is key to the realistic simulation of the MJO.
Jiwoo Lee, Peter J. Gleckler, Min-Seop Ahn, Ana Ordonez, Paul A. Ullrich, Kenneth R. Sperber, Karl E. Taylor, Yann Y. Planton, Eric Guilyardi, Paul Durack, Celine Bonfils, Mark D. Zelinka, Li-Wei Chao, Bo Dong, Charles Doutriaux, Chengzhu Zhang, Tom Vo, Jason Boutte, Michael F. Wehner, Angeline G. Pendergrass, Daehyun Kim, Zeyu Xue, Andrew T. Wittenberg, and John Krasting
Geosci. Model Dev., 17, 3919–3948, https://doi.org/10.5194/gmd-17-3919-2024, https://doi.org/10.5194/gmd-17-3919-2024, 2024
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We introduce an open-source software, the PCMDI Metrics Package (PMP), developed for a comprehensive comparison of Earth system models (ESMs) with real-world observations. Using diverse metrics evaluating climatology, variability, and extremes simulated in thousands of simulations from the Coupled Model Intercomparison Project (CMIP), PMP aids in benchmarking model improvements across generations. PMP also enables efficient tracking of performance evolutions during ESM developments.
Haoyue Zuo, Yonggang Liu, Gaojun Li, Zhifang Xu, Liang Zhao, Zhengtang Guo, and Yongyun Hu
Geosci. Model Dev., 17, 3949–3974, https://doi.org/10.5194/gmd-17-3949-2024, https://doi.org/10.5194/gmd-17-3949-2024, 2024
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Compared to the silicate weathering fluxes measured at large river basins, the current models tend to systematically overestimate the fluxes over the tropical region, which leads to an overestimation of the global total weathering flux. The most possible cause of such bias is found to be the overestimation of tropical surface erosion, which indicates that the tropical vegetation likely slows down physical erosion significantly. We propose a way of taking this effect into account in models.
Quentin Pikeroen, Didier Paillard, and Karine Watrin
Geosci. Model Dev., 17, 3801–3814, https://doi.org/10.5194/gmd-17-3801-2024, https://doi.org/10.5194/gmd-17-3801-2024, 2024
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All accurate climate models use equations with poorly defined parameters, where knobs for the parameters are turned to fit the observations. This process is called tuning. In this article, we use another paradigm. We use a thermodynamic hypothesis, the maximum entropy production, to compute temperatures, energy fluxes, and precipitation, where tuning is impossible. For now, the 1D vertical model is used for a tropical atmosphere. The correct order of magnitude of precipitation is computed.
Jishi Zhang, Peter Bogenschutz, Qi Tang, Philip Cameron-smith, and Chengzhu Zhang
Geosci. Model Dev., 17, 3687–3731, https://doi.org/10.5194/gmd-17-3687-2024, https://doi.org/10.5194/gmd-17-3687-2024, 2024
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We developed a regionally refined climate model that allows resolved convection and performed a 20-year projection to the end of the century. The model has a resolution of 3.25 km in California, which allows us to predict climate with unprecedented accuracy, and a resolution of 100 km for the rest of the globe to achieve efficient, self-consistent simulations. The model produces superior results in reproducing climate patterns over California that typical modern climate models cannot resolve.
Xiaohui Zhong, Xing Yu, and Hao Li
Geosci. Model Dev., 17, 3667–3685, https://doi.org/10.5194/gmd-17-3667-2024, https://doi.org/10.5194/gmd-17-3667-2024, 2024
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In order to forecast localized warm-sector rainfall in the south China region, numerical weather prediction models are being run with finer grid spacing. The conventional convection parameterization (CP) performs poorly in the gray zone, necessitating the development of a scale-aware scheme. We propose a machine learning (ML) model to replace the scale-aware CP scheme. Evaluation against the original CP scheme has shown that the ML-based CP scheme can provide accurate and reliable predictions.
Taufiq Hassan, Kai Zhang, Jianfeng Li, Balwinder Singh, Shixuan Zhang, Hailong Wang, and Po-Lun Ma
Geosci. Model Dev., 17, 3507–3532, https://doi.org/10.5194/gmd-17-3507-2024, https://doi.org/10.5194/gmd-17-3507-2024, 2024
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Anthropogenic aerosol emissions are an essential part of global aerosol models. Significant errors can exist from the loss of emission heterogeneity. We introduced an emission treatment that significantly improved aerosol emission heterogeneity in high-resolution model simulations, with improvements in simulated aerosol surface concentrations. The emission treatment will provide a more accurate representation of aerosol emissions and their effects on climate.
Feng Zhu, Julien Emile-Geay, Gregory J. Hakim, Dominique Guillot, Deborah Khider, Robert Tardif, and Walter A. Perkins
Geosci. Model Dev., 17, 3409–3431, https://doi.org/10.5194/gmd-17-3409-2024, https://doi.org/10.5194/gmd-17-3409-2024, 2024
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Climate field reconstruction encompasses methods that estimate the evolution of climate in space and time based on natural archives. It is useful to investigate climate variations and validate climate models, but its implementation and use can be difficult for non-experts. This paper introduces a user-friendly Python package called cfr to make these methods more accessible, thanks to the computational and visualization tools that facilitate efficient and reproducible research on past climates.
Rose V. Palermo, J. Taylor Perron, Jason M. Soderblom, Samuel P. D. Birch, Alexander G. Hayes, and Andrew D. Ashton
Geosci. Model Dev., 17, 3433–3445, https://doi.org/10.5194/gmd-17-3433-2024, https://doi.org/10.5194/gmd-17-3433-2024, 2024
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Models of rocky coastal erosion help us understand the controls on coastal morphology and evolution. In this paper, we present a simplified model of coastline erosion driven by either uniform erosion where coastline erosion is constant or wave-driven erosion where coastline erosion is a function of the wave power. This model can be used to evaluate how coastline changes reflect climate, sea-level history, material properties, and the relative influence of different erosional processes.
Safae Oumami, Joaquim Arteta, Vincent Guidard, Pierre Tulet, and Paul David Hamer
Geosci. Model Dev., 17, 3385–3408, https://doi.org/10.5194/gmd-17-3385-2024, https://doi.org/10.5194/gmd-17-3385-2024, 2024
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In this paper, we coupled the SURFEX and MEGAN models. The aim of this coupling is to improve the estimation of biogenic fluxes by using the SURFEX canopy environment model. The coupled model results were validated and several sensitivity tests were performed. The coupled-model total annual isoprene flux is 442 Tg; this value is within the range of other isoprene estimates reported. The ultimate aim of this coupling is to predict the impact of climate change on biogenic emissions.
Lars Ackermann, Thomas Rackow, Kai Himstedt, Paul Gierz, Gregor Knorr, and Gerrit Lohmann
Geosci. Model Dev., 17, 3279–3301, https://doi.org/10.5194/gmd-17-3279-2024, https://doi.org/10.5194/gmd-17-3279-2024, 2024
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We present long-term simulations with interactive icebergs in the Southern Ocean. By melting, icebergs reduce the temperature and salinity of the surrounding ocean. In our simulations, we find that this cooling effect of iceberg melting is not limited to the surface ocean but also reaches the deep ocean and propagates northward into all ocean basins. Additionally, the formation of deep-water masses in the Southern Ocean is enhanced.
Nanhong Xie, Tijian Wang, Xiaodong Xie, Xu Yue, Filippo Giorgi, Qian Zhang, Danyang Ma, Rong Song, Beiyao Xu, Shu Li, Bingliang Zhuang, Mengmeng Li, Min Xie, Natalya Andreeva Kilifarska, Georgi Gadzhev, and Reneta Dimitrova
Geosci. Model Dev., 17, 3259–3277, https://doi.org/10.5194/gmd-17-3259-2024, https://doi.org/10.5194/gmd-17-3259-2024, 2024
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For the first time, we coupled a regional climate chemistry model, RegCM-Chem, with a dynamic vegetation model, YIBs, to create a regional climate–chemistry–ecology model, RegCM-Chem–YIBs. We applied it to simulate climatic, chemical, and ecological parameters in East Asia and fully validated it on a variety of observational data. Results show that RegCM-Chem–YIBs model is a valuable tool for studying the terrestrial carbon cycle, atmospheric chemistry, and climate change on a regional scale.
Bryce E. Harrop, Jian Lu, L. Ruby Leung, William K. M. Lau, Kyu-Myong Kim, Brian Medeiros, Brian J. Soden, Gabriel A. Vecchi, Bosong Zhang, and Balwinder Singh
Geosci. Model Dev., 17, 3111–3135, https://doi.org/10.5194/gmd-17-3111-2024, https://doi.org/10.5194/gmd-17-3111-2024, 2024
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Seven new experimental setups designed to interfere with cloud radiative heating have been added to the Energy Exascale Earth System Model (E3SM). These experiments include both those that test the mean impact of cloud radiative heating and those examining its covariance with circulations. This paper documents the code changes and steps needed to run these experiments. Results corroborate prior findings for how cloud radiative heating impacts circulations and rainfall patterns.
Mario C. Acosta, Sergi Palomas, Stella V. Paronuzzi Ticco, Gladys Utrera, Joachim Biercamp, Pierre-Antoine Bretonniere, Reinhard Budich, Miguel Castrillo, Arnaud Caubel, Francisco Doblas-Reyes, Italo Epicoco, Uwe Fladrich, Sylvie Joussaume, Alok Kumar Gupta, Bryan Lawrence, Philippe Le Sager, Grenville Lister, Marie-Pierre Moine, Jean-Christophe Rioual, Sophie Valcke, Niki Zadeh, and Venkatramani Balaji
Geosci. Model Dev., 17, 3081–3098, https://doi.org/10.5194/gmd-17-3081-2024, https://doi.org/10.5194/gmd-17-3081-2024, 2024
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We present a collection of performance metrics gathered during the Coupled Model Intercomparison Project Phase 6 (CMIP6), a worldwide initiative to study climate change. We analyse the metrics that resulted from collaboration efforts among many partners and models and describe our findings to demonstrate the utility of our study for the scientific community. The research contributes to understanding climate modelling performance on the current high-performance computing (HPC) architectures.
Sabine Doktorowski, Jan Kretzschmar, Johannes Quaas, Marc Salzmann, and Odran Sourdeval
Geosci. Model Dev., 17, 3099–3110, https://doi.org/10.5194/gmd-17-3099-2024, https://doi.org/10.5194/gmd-17-3099-2024, 2024
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Especially over the midlatitudes, precipitation is mainly formed via the ice phase. In this study we focus on the initial snow formation process in the ICON-AES, the aggregation process. We use a stochastical approach for the aggregation parameterization and investigate the influence in the ICON-AES. Therefore, a distribution function of cloud ice is created, which is evaluated with satellite data. The new approach leads to cloud ice loss and an improvement in the process rate bias.
Katie R. Blackford, Matthew Kasoar, Chantelle Burton, Eleanor Burke, Iain Colin Prentice, and Apostolos Voulgarakis
Geosci. Model Dev., 17, 3063–3079, https://doi.org/10.5194/gmd-17-3063-2024, https://doi.org/10.5194/gmd-17-3063-2024, 2024
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Peatlands are globally important stores of carbon which are being increasingly threatened by wildfires with knock-on effects on the climate system. Here we introduce a novel peat fire parameterization in the northern high latitudes to the INFERNO global fire model. Representing peat fires increases annual burnt area across the high latitudes, alongside improvements in how we capture year-to-year variation in burning and emissions.
Pengfei Shi, L. Ruby Leung, Bin Wang, Kai Zhang, Samson M. Hagos, and Shixuan Zhang
Geosci. Model Dev., 17, 3025–3040, https://doi.org/10.5194/gmd-17-3025-2024, https://doi.org/10.5194/gmd-17-3025-2024, 2024
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Improving climate predictions have profound socio-economic impacts. This study introduces a new weakly coupled land data assimilation (WCLDA) system for a coupled climate model. We demonstrate improved simulation of soil moisture and temperature in many global regions and throughout the soil layers. Furthermore, significant improvements are also found in reproducing the time evolution of the 2012 US Midwest drought. The WCLDA system provides the groundwork for future predictability studies.
Justin Peter, Elisabeth Vogel, Wendy Sharples, Ulrike Bende-Michl, Louise Wilson, Pandora Hope, Andrew Dowdy, Greg Kociuba, Sri Srikanthan, Vi Co Duong, Jake Roussis, Vjekoslav Matic, Zaved Khan, Alison Oke, Margot Turner, Stuart Baron-Hay, Fiona Johnson, Raj Mehrotra, Ashish Sharma, Marcus Thatcher, Ali Azarvinand, Steven Thomas, Ghyslaine Boschat, Chantal Donnelly, and Robert Argent
Geosci. Model Dev., 17, 2755–2781, https://doi.org/10.5194/gmd-17-2755-2024, https://doi.org/10.5194/gmd-17-2755-2024, 2024
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We detail the production of datasets and communication to end users of high-resolution projections of rainfall, runoff, and soil moisture for the entire Australian continent. This is important as previous projections for Australia were for small regions and used differing techniques for their projections, making comparisons difficult across Australia's varied climate zones. The data will be beneficial for research purposes and to aid adaptation to climate change.
Daniele Visioni, Alan Robock, Jim Haywood, Matthew Henry, Simone Tilmes, Douglas G. MacMartin, Ben Kravitz, Sarah J. Doherty, John Moore, Chris Lennard, Shingo Watanabe, Helene Muri, Ulrike Niemeier, Olivier Boucher, Abu Syed, Temitope S. Egbebiyi, Roland Séférian, and Ilaria Quaglia
Geosci. Model Dev., 17, 2583–2596, https://doi.org/10.5194/gmd-17-2583-2024, https://doi.org/10.5194/gmd-17-2583-2024, 2024
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This paper describes a new experimental protocol for the Geoengineering Model Intercomparison Project (GeoMIP). In it, we describe the details of a new simulation of sunlight reflection using the stratospheric aerosols that climate models are supposed to run, and we explain the reasons behind each choice we made when defining the protocol.
Jose Rafael Guarin, Jonas Jägermeyr, Elizabeth A. Ainsworth, Fabio A. A. Oliveira, Senthold Asseng, Kenneth Boote, Joshua Elliott, Lisa Emberson, Ian Foster, Gerrit Hoogenboom, David Kelly, Alex C. Ruane, and Katrina Sharps
Geosci. Model Dev., 17, 2547–2567, https://doi.org/10.5194/gmd-17-2547-2024, https://doi.org/10.5194/gmd-17-2547-2024, 2024
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The effects of ozone (O3) stress on crop photosynthesis and leaf senescence were added to maize, rice, soybean, and wheat crop models. The modified models reproduced growth and yields under different O3 levels measured in field experiments and reported in the literature. The combined interactions between O3 and additional stresses were reproduced with the new models. These updated crop models can be used to simulate impacts of O3 stress under future climate change and air pollution scenarios.
Jiachen Lu, Negin Nazarian, Melissa Anne Hart, E. Scott Krayenhoff, and Alberto Martilli
Geosci. Model Dev., 17, 2525–2545, https://doi.org/10.5194/gmd-17-2525-2024, https://doi.org/10.5194/gmd-17-2525-2024, 2024
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This study enhances urban canopy models by refining key assumptions. Simulations for various urban scenarios indicate discrepancies in turbulent transport efficiency for flow properties. We propose two modifications that involve characterizing diffusion coefficients for momentum and turbulent kinetic energy separately and introducing a physics-based
mass-fluxterm. These adjustments enhance the model's performance, offering more reliable temperature and surface flux estimates.
Justin L. Willson, Kevin A. Reed, Christiane Jablonowski, James Kent, Peter H. Lauritzen, Ramachandran Nair, Mark A. Taylor, Paul A. Ullrich, Colin M. Zarzycki, David M. Hall, Don Dazlich, Ross Heikes, Celal Konor, David Randall, Thomas Dubos, Yann Meurdesoif, Xi Chen, Lucas Harris, Christian Kühnlein, Vivian Lee, Abdessamad Qaddouri, Claude Girard, Marco Giorgetta, Daniel Reinert, Hiroaki Miura, Tomoki Ohno, and Ryuji Yoshida
Geosci. Model Dev., 17, 2493–2507, https://doi.org/10.5194/gmd-17-2493-2024, https://doi.org/10.5194/gmd-17-2493-2024, 2024
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Accurate simulation of tropical cyclones (TCs) is essential to understanding their behavior in a changing climate. One way this is accomplished is through model intercomparison projects, where results from multiple climate models are analyzed to provide benchmark solutions for the wider climate modeling community. This study describes and analyzes the previously developed TC test case for nine climate models in an intercomparison project, providing solutions that aid in model development.
Stephanie Fiedler, Vaishali Naik, Fiona M. O'Connor, Christopher J. Smith, Paul Griffiths, Ryan J. Kramer, Toshihiko Takemura, Robert J. Allen, Ulas Im, Matthew Kasoar, Angshuman Modak, Steven Turnock, Apostolos Voulgarakis, Duncan Watson-Parris, Daniel M. Westervelt, Laura J. Wilcox, Alcide Zhao, William J. Collins, Michael Schulz, Gunnar Myhre, and Piers M. Forster
Geosci. Model Dev., 17, 2387–2417, https://doi.org/10.5194/gmd-17-2387-2024, https://doi.org/10.5194/gmd-17-2387-2024, 2024
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Climate scientists want to better understand modern climate change. Thus, climate model experiments are performed and compared. The results of climate model experiments differ, as assessed in the latest Intergovernmental Panel on Climate Change (IPCC) assessment report. This article gives insights into the challenges and outlines opportunities for further improving the understanding of climate change. It is based on views of a group of experts in atmospheric composition–climate interactions.
Yuwen Fan, Zhao Yang, Min-Hui Lo, Jina Hur, and Eun-Soon Im
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-38, https://doi.org/10.5194/gmd-2024-38, 2024
Revised manuscript accepted for GMD
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Irrigated agriculture in the North China Plain (NCP) has a significant impact on the local climate. To better understand this impact, we developed a specialized model specifically for the NCP region. This model allows us to simulate the double-cropping vegetation and the dynamic irrigation practices that are commonly employed in the NCP. This model shows improved performance in capturing the general crop growth, such as crop stages, biomass, crop yield, and vegetation greenness.
Sergey Danilov, Carolin Mehlmann, Dmitry Sidorenko, and Qiang Wang
Geosci. Model Dev., 17, 2287–2297, https://doi.org/10.5194/gmd-17-2287-2024, https://doi.org/10.5194/gmd-17-2287-2024, 2024
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Sea ice models are a necessary component of climate models. At very high resolution they are capable of simulating linear kinematic features, such as leads, which are important for better prediction of heat exchanges between the ocean and atmosphere. Two new discretizations are described which improve the sea ice component of the Finite volumE Sea ice–Ocean Model (FESOM version 2) by allowing simulations of finer scales.
Yangke Liu, Qing Bao, Bian He, Xiaofei Wu, Jing Yang, Yimin Liu, Guoxiong Wu, Tao Zhu, Siyuan Zhou, Yao Tang, Ankang Qu, Yalan Fan, Anling Liu, Dandan Chen, Zhaoming Luo, Xing Hu, and Tongwen Wu
EGUsphere, https://doi.org/10.5194/egusphere-2024-1, https://doi.org/10.5194/egusphere-2024-1, 2024
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This article gives an overview introduction of the IAP-CAS S2S (sub-seasonal to seasonal) ensemble forecasting system and MJO forecast evaluation of the system. Compared to other S2S models, the IAP-CAS model has its advantages but also exhibits some biases, including underdispersive ensemble, overestimated amplitude and faster propagation speed when forecasting MJO. We also provide the explanation towards these biases and prospects for further improvement of this system in the future.
Tian Gan, Gregory E. Tucker, Eric W. H. Hutton, Mark D. Piper, Irina Overeem, Albert J. Kettner, Benjamin Campforts, Julia M. Moriarty, Brianna Undzis, Ethan Pierce, and Lynn McCready
Geosci. Model Dev., 17, 2165–2185, https://doi.org/10.5194/gmd-17-2165-2024, https://doi.org/10.5194/gmd-17-2165-2024, 2024
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This study presents the design, implementation, and application of the CSDMS Data Components. The case studies demonstrate that the Data Components provide a consistent way to access heterogeneous datasets from multiple sources, and to seamlessly integrate them with various models for Earth surface process modeling. The Data Components support the creation of open data–model integration workflows to improve the research transparency and reproducibility.
Jérémy Bernard, Erwan Bocher, Matthieu Gousseff, François Leconte, and Elisabeth Le Saux Wiederhold
Geosci. Model Dev., 17, 2077–2116, https://doi.org/10.5194/gmd-17-2077-2024, https://doi.org/10.5194/gmd-17-2077-2024, 2024
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Geographical features may have a considerable effect on local climate. The local climate zone (LCZ) system proposed by Stewart and Oke (2012) is seen as a standard approach for classifying any zone according to a set of geographic indicators. While many methods already exist to map the LCZ, only a few tools are openly and freely available. We present the algorithm implemented in GeoClimate software to identify the LCZ of any place in the world using OpenStreetMap data.
Thomas Extier, Thibaut Caley, and Didier M. Roche
Geosci. Model Dev., 17, 2117–2139, https://doi.org/10.5194/gmd-17-2117-2024, https://doi.org/10.5194/gmd-17-2117-2024, 2024
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Stable water isotopes are used to infer changes in the hydrological cycle for different time periods in climatic archive and climate models. We present the implementation of the δ2H and δ17O water isotopes in the coupled climate model iLOVECLIM and calculate the d- and 17O-excess. Results of a simulation under preindustrial conditions show that the model correctly reproduces the water isotope distribution in the atmosphere and ocean in comparison to data and other global circulation models.
Joseph P. Hollowed, Christiane Jablonowski, Hunter Y. Brown, Benjamin R. Hillman, Diana L. Bull, and Joseph L. Hart
EGUsphere, https://doi.org/10.5194/egusphere-2024-335, https://doi.org/10.5194/egusphere-2024-335, 2024
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Large volcanic eruptions deposit material into the upper-atmosphere, which is capable of altering temperature and wind patterns of the Earth's atmosphere for years following. This research describes a new method of simulating these effects in an idealized, efficient atmospheric model. A volcanic eruption of sulfur dioxide is described with a simplified set of physical rules, which eventually cools the planetary surface. This model has been designed as a testbed for climate attribution studies.
Marit Sandstad, Borgar Aamaas, Ane Nordlie Johansen, Marianne Tronstad Lund, Glen Peters, Bjørn Hallvard Samset, Benjamin M. Sanderson, and Ragnhild Bieltvedt Skeie
EGUsphere, https://doi.org/10.5194/egusphere-2024-196, https://doi.org/10.5194/egusphere-2024-196, 2024
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The CICERO-SCM has existed as a FORTRAN model since 1999 and consists of a part that calculates radiative forcing and concentrations from emissions, and an upwelling diffusion energy balance model of the ocean that calculates temperature change. In this paper we describe an updated version ported to python and publicly available at https://github.com/ciceroOslo/ciceroscm (https://doi.org/10.5281/zenodo.10548720). This version contains functionality for parallel runs and automatic calibration.
Kirsten L. Findell, Zun Yin, Eunkyo Seo, Paul A. Dirmeyer, Nathan P. Arnold, Nathaniel Chaney, Megan D. Fowler, Meng Huang, David M. Lawrence, Po-Lun Ma, and Joseph A. Santanello Jr.
Geosci. Model Dev., 17, 1869–1883, https://doi.org/10.5194/gmd-17-1869-2024, https://doi.org/10.5194/gmd-17-1869-2024, 2024
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We outline a request for sub-daily data to accurately capture the process-level connections between land states, surface fluxes, and the boundary layer response. This high-frequency model output will allow for more direct comparison with observational field campaigns on process-relevant timescales, enable demonstration of inter-model spread in land–atmosphere coupling processes, and aid in targeted identification of sources of deficiencies and opportunities for improvement of the models.
Marlene Klockmann, Udo von Toussaint, and Eduardo Zorita
Geosci. Model Dev., 17, 1765–1787, https://doi.org/10.5194/gmd-17-1765-2024, https://doi.org/10.5194/gmd-17-1765-2024, 2024
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Reconstructions of climate variability before the observational period rely on climate proxies and sophisticated statistical models to link the proxy information and climate variability. Existing models tend to underestimate the true magnitude of variability, especially if the proxies contain non-climatic noise. We present and test a promising new framework for climate-index reconstructions, based on Gaussian processes, which reconstructs robust variability estimates from noisy and sparse data.
Aaron A. Naidoo-Bagwell, Fanny M. Monteiro, Katharine R. Hendry, Scott Burgan, Jamie D. Wilson, Ben A. Ward, Andy Ridgwell, and Daniel J. Conley
Geosci. Model Dev., 17, 1729–1748, https://doi.org/10.5194/gmd-17-1729-2024, https://doi.org/10.5194/gmd-17-1729-2024, 2024
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As an extension to the EcoGEnIE 1.0 Earth system model that features a diverse plankton community, EcoGEnIE 1.1 includes siliceous plankton diatoms and also considers their impact on biogeochemical cycles. With updates to existing nutrient cycles and the introduction of the silicon cycle, we see improved model performance relative to observational data. Through a more functionally diverse plankton community, the new model enables more comprehensive future study of ocean ecology.
Martin Butzin, Ying Ye, Christoph Völker, Özgür Gürses, Judith Hauck, and Peter Köhler
Geosci. Model Dev., 17, 1709–1727, https://doi.org/10.5194/gmd-17-1709-2024, https://doi.org/10.5194/gmd-17-1709-2024, 2024
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In this paper we describe the implementation of the carbon isotopes 13C and 14C into the marine biogeochemistry model FESOM2.1-REcoM3 and present results of long-term test simulations. Our model results are largely consistent with marine carbon isotope reconstructions for the pre-anthropogenic period, but also exhibit some discrepancies.
Sven Karsten, Hagen Radtke, Matthias Gröger, Ha T. M. Ho-Hagemann, Hossein Mashayekh, Thomas Neumann, and H. E. Markus Meier
Geosci. Model Dev., 17, 1689–1708, https://doi.org/10.5194/gmd-17-1689-2024, https://doi.org/10.5194/gmd-17-1689-2024, 2024
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This paper describes the development of a regional Earth System Model for the Baltic Sea region. In contrast to conventional coupling approaches, the presented model includes a flux calculator operating on a common exchange grid. This approach automatically ensures a locally consistent treatment of fluxes and simplifies the exchange of model components. The presented model can be used for various scientific questions, such as studies of natural variability and ocean–atmosphere interactions.
Skyler Graap and Colin M. Zarzycki
Geosci. Model Dev., 17, 1627–1650, https://doi.org/10.5194/gmd-17-1627-2024, https://doi.org/10.5194/gmd-17-1627-2024, 2024
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A key target for improving climate models is how low, bright clouds are predicted over tropical oceans, since they have important consequences for the Earth's energy budget. A climate model has been updated to improve the physical realism of the treatment of how momentum is moved up and down in the atmosphere. By comparing this updated model to real-world observations from balloon launches, it can be shown to more accurately depict atmospheric structure in trade-wind areas close to the Equator.
Marika M. Holland, Cecile Hannay, John Fasullo, Alexandra Jahn, Jennifer E. Kay, Michael Mills, Isla R. Simpson, William Wieder, Peter Lawrence, Erik Kluzek, and David Bailey
Geosci. Model Dev., 17, 1585–1602, https://doi.org/10.5194/gmd-17-1585-2024, https://doi.org/10.5194/gmd-17-1585-2024, 2024
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Climate evolves in response to changing forcings, as prescribed in simulations. Models and forcings are updated over time to reflect new understanding. This makes it difficult to attribute simulation differences to either model or forcing changes. Here we present new simulations which enable the separation of model structure and forcing influence between two widely used simulation sets. Results indicate a strong influence of aerosol emission uncertainty on historical climate.
Cited articles
Aguilera, D. R., Jourabchi, P., Spiteri, C., and Regnier, P.: A
knowledge-based
reactive transport approach for the simulation of biogeochemical dynamics in
Earth systems, Geochem. Geophy. Geosy., 6, Q07012,
https://doi.org/10.1029/2004GC000899,
2005. a, b, c
Aller, R. C.: The importance of relict burrow structures and burrow
irrigation
in controlling sedimentary solute distributions, Geochim. Cosmochim.
Ac., 48, 1929–1934, https://doi.org/10.1016/0016-7037(84)90375-2,
1984. a
Aller, R. C.: Benthic fauna and biogeochemical processes in marine sediments:
the role of burrow structures, in: Nitrogen cycling in coastal marine
environments, edited by: Blackburn, T. and Sorensen, J., Scope,
Chichester, 301–338, 1988. a
Archer, D. and Devol, A.: Benthic oxygen fluxes on the Washington shelf and
slope: A comparison of in situ microelectrode and chamber flux
measurements, Limnol. Oceanogr., 37, 614–629,
https://doi.org/10.4319/lo.1992.37.3.0614,
1992. a
Archer, D. and Maier-Reimer, E.: Effect of Deep-Sea Sedimentary
Calcite
Preservation on Atmospheric Co2 Concentration, Nature, 367, 260–263,
https://doi.org/10.1038/367260a0, 00506 WOS:A1994MR49400052, 1994. a, b
Archer, D., Winguth, A., Lea, D., and Mahowald, N.: What caused the
glacial/interglacial atmospheric pCO2 cycles?, Rev. Geophys., 38,
159–189, https://doi.org/10.1029/1999RG000066,
2000. a
Archer, D., Eby, M., Brovkin, V., Ridgwell, A., Cao, L., Mikolajewicz, U.,
Caldeira, K., Matsumoto, K., Munhoven, G., Montenegro, A., and Tokos, K.:
Atmospheric Lifetime of Fossil Fuel Carbon Dioxide, Annu. Rev.
Earth Pl. Sc., 37, 117–134,
https://doi.org/10.1146/annurev.earth.031208.100206,
2009. a, b
Archer, D. E., Morford, J. L., and Emerson, S. R.: A model of suboxic
sedimentary diagenesis suitable for automatic tuning and gridded global
domains, Global Biogeochem. Cy., 16, 17–1, https://doi.org/10.1029/2000GB001288,
2002. a, b
Arndt, S. and Regnier, P.: A model for the benthic-pelagic coupling of silica
in estuarine ecosystems: sensitivity analysis and system scale simulation,
Biogeosciences, 4, 331–352, https://doi.org/10.5194/bg-4-331-2007, 2007. a
Arthur, M. A., Dean, W. E., and Pratt, L. M.: Geochemical and climatic
effects
of increased marine organic carbon burial at the Cenomanian/Turonian
boundary, Nature, 335, 714–717, https://doi.org/10.1038/335714a0,
1988. a
Berner, R. A.: An idealized model of dissolved sulfate distribution in recent
sediments, Geochim. Cosmochim. Ac., 28, 1497–1503,
https://doi.org/10.1016/0016-7037(64)90164-4,
1964. a
Berner, R. A.: Sedimentary pyrite formation: An update, Geochim. Cosmochim.
Ac., 48, 605–615, https://doi.org/10.1016/0016-7037(84)90089-9, 1984. a
Berner, R. A.: A model for atmospheric CO2 over Phanerozoic time, Am.
J. Sci., 291, 339–376, https://doi.org/10.2475/ajs.291.4.339, 1991. a
Bohlen, L., Dale, A. W., and Wallmann, K.: Simple transfer functions for
calculating benthic fixed nitrogen losses and C:N:P regeneration ratios
in global biogeochemical models, Global Biogeochem. Cy., 26, GB3029,
https://doi.org/10.1029/2011GB004198,
2012. a
Bottrell, S. H. and Newton, R. J.: Reconstruction of changes in global sulfur
cycling from marine sulfate isotopes, Earth-Sci. Rev., 75, 59–83,
https://doi.org/10.1016/j.earscirev.2005.10.004,
2006. a
Boudreau, B. P.: On the equivalence of nonlocal and radial-diffusion models
for
porewater irrigation, J. Mar. Res., 42, 731–735,
https://doi.org/10.1357/002224084788505924, 1984. a
Boudreau, B. P.: Mathematics of tracer mixing in sediments; I,
Spatially-dependent, diffusive mixing, Am. J. Sci., 286,
161–198, https://doi.org/10.2475/ajs.286.3.161,
1986. a
Boudreau, B. P.: Modelling the sulfide-oxygen reaction and associated pH
gradients in porewaters, Geochim. Cosmochim. Ac., 55, 145–159,
https://doi.org/10.1016/0016-7037(91)90407-V,
1991. a
Boudreau, B. P.: A method-of-lines code for carbon and nutrient diagenesis in
aquatic sediments, Comput. Geosci., 22, 479–496,
https://doi.org/10.1016/0098-3004(95)00115-8,
1996. a, b
Boudreau, B. P.: Mean mixed depth of sediments: The wherefore and the why,
Limnol. Oceanogr., 43, 524–526, https://doi.org/10.4319/lo.1998.43.3.0524,
1998. a, b
Boudreau, B. P. and Ruddick, B. R.: On a reactive continuum representation of
organic matter diagenesis, Am. J. Sci., 291, 507–538,
https://doi.org/10.2475/ajs.291.5.507,
1991. a
Boudreau, B. P. and Westrich, J. T.: The dependence of bacterial sulfate
reduction on sulfate concentration in marine sediments, Geochim. Cosmochim. Ac., 48, 2503–2516, https://doi.org/10.1016/0016-7037(84)90301-6,
1984. a, b
Boudreau, B. P., Mucci, A., Sundby, B., Luther, G. W., and Silverberg, N.:
Comparative diagenesis at three sites on the Canadian continental margin,
J. Mar. Res., 56, 1259–1284, https://doi.org/10.1357/002224098765093634,
1998. a
Boudreau, B. P., Arnosti, C., Jørgensen, B. B., and Canfield, D. E.:
Comment
on “Physical Model for the Decay and Preservation of Marine
Organic Carbon”, Science, 319, 1616–1616, https://doi.org/10.1126/science.1148589,
2008. a
Broecker, W. S.: Ocean chemistry during glacial time, Geochim. Cosmochim.
Ac., 46, 1689–1705, https://doi.org/10.1016/0016-7037(82)90110-7,
1982. a
Burdige, D. J.: Geochemistry of marine sediments, vol. 398, Princeton
University Press Princeton, 2006. a
Burdige, D. J.: Preservation of Organic Matter in Marine Sediments:
Controls, Mechanisms, and an Imbalance in Sediment Organic Carbon
Budgets?, Chem. Rev., 107, 467–485, https://doi.org/10.1021/cr050347q, 2007. a
Burwicz, E. B., Rüpke, L. H., and Wallmann, K.: Estimation of the global
amount of submarine gas hydrates formed via microbial methane formation based
on numerical reaction-transport modeling and a novel parameterization of
Holocene sedimentation, Geochim. Cosmochim. Ac., 75, 4562–4576,
https://doi.org/10.1016/j.gca.2011.05.029,
2011. a, b
Colbourn, G., Ridgwell, A., and Lenton, T. M.: The Rock Geochemical Model
(RokGeM) v0.9, Geosci. Model Dev., 6, 1543–1573,
https://doi.org/10.5194/gmd-6-1543-2013, 2013. a
Conkright, M. E., Locarnini, R. A., Garcia, H. E., O'Brien, T. D., Boyer,
T. P., Stephens, C., and Antonov, J. I.: World Ocean Atlas 2001: Objective
analyses, data statistics, and figures: CD-ROM documentation, US Department
of Commerce, National Oceanic and Atmospheric Administration, National
Oceanographic Data Center, Ocean Climate Laboratory, 2002. a
Devol, A. H. and Christensen, J. P.: Benthic fluxes and nitrogen cycling in
sediments of the continental margin of the eastern North Pacific, J.
Mar. Res., 51, 345–372, https://doi.org/10.1357/0022240933223765, 1993. a, b
D'Hondt, S., Inagaki, F., Zarikian, C. A., Abrams, L. J., Dubois, N.,
Engelhardt, T., Evans, H., Ferdelman, T., Gribsholt, B., Harris, R. N.,
Hoppie, B. W., Hyun, J.-H., Kallmeyer, J., Kim, J., Lynch, J. E., McKinley,
C. C., Mitsunobu, S., Morono, Y., Murray, R. W., Pockalny, R., Sauvage, J.,
Shimono, T., Shiraishi, F., Smith, D. C., Smith-Duque, C. E., Spivack, A. J.,
Steinsbu, B. O., Suzuki, Y., Szpak, M., Toffin, L., Uramoto, G., Yamaguchi,
Y. T., Zhang, G.-l., Zhang, X.-H., and Ziebis, W.: Presence of oxygen and
aerobic communities from sea floor to basement in deep-sea sediments, Nat.
Geosci., 8, 299–304, https://doi.org/10.1038/ngeo2387,
2015. a
Edwards, N. R. and Marsh, R.: Uncertainties due to transport-parameter
sensitivity in an efficient 3-D ocean-climate model, Clim. Dynam., 24,
415–433, https://doi.org/10.1007/s00382-004-0508-8,
2005. a
Emerson, S. and Bender, M. L.: Carbon fluxes at the sediment-water interface
of
the deep-sea: calcium carbonate preservation, J. Mar. Res.,
39, 139–162,
1981. a
Emerson, S. and Hedges, J. I.: Processes controlling the organic carbon
content
of open ocean sediments, Paleoceanography, 3, 621–634,
https://doi.org/10.1029/PA003i005p00621,
1988. a
Emerson, S., Jahnke, R., and Heggie, D.: Sediment-water exchange in shallow
water estuarine sediments, J. Mar. Res., 42, 709–730,
https://doi.org/10.1357/002224084788505942, 1984. a
Fischer, J. P., Ferdelman, T. G., D'Hondt, S., Røy, H., and Wenzhöfer,
F.: Oxygen penetration deep into the sediment of the South Pacific gyre,
Biogeosciences, 6, 1467–1478, https://doi.org/10.5194/bg-6-1467-2009,
2009. a
Glud, R. N.: Oxygen dynamics of marine sediments, Mar. Biol. Res., 4,
243–289, https://doi.org/10.1080/17451000801888726,
2008. a, b, c
Goosse, H., Brovkin, V., Fichefet, T., Haarsma, R., Huybrechts, P., Jongma,
J., Mouchet, A., Selten, F., Barriat, P.-Y., Campin, J.-M., Deleersnijder,
E., Driesschaert, E., Goelzer, H., Janssens, I., Loutre, M.-F., Morales
Maqueda, M. A., Opsteegh, T., Mathieu, P.-P., Munhoven, G., Pettersson, E.
J., Renssen, H., Roche, D. M., Schaeffer, M., Tartinville, B., Timmermann,
A., and Weber, S. L.: Description of the Earth system model of intermediate
complexity LOVECLIM version 1.2, Geosci. Model Dev., 3, 603–633,
https://doi.org/10.5194/gmd-3-603-2010, 2010. a
Heinze, C., Maier-Reimer, E., Winguth, A. M. E., and Archer, D.: A global
oceanic sediment model for long-term climate studies, Global Biogeochem. Cy., 13, 221–250, https://doi.org/10.1029/98GB02812,
1999. a, b, c
Hülse, D., Arndt, S., Wilson, J. D., Munhoven, G., and Ridgwell, A.:
Understanding the causes and consequences of past marine carbon cycling
variability through models, Earth-Sci. Rev., 171, 349–382,
https://doi.org/10.1016/j.earscirev.2017.06.004,
2017. a, b, c, d
Hülse, D., Arndt, S., Daines, S., Regnier, P., and Ridgwell, A.: OMEN-SED
1.0 model code, Zenodo, https://doi.org/10.5281/zenodo.1292930, 2018. a
Ilyina, T., Six, K. D., Segschneider, J., Maier-Reimer, E., Li, H., and
Núñez-Riboni, I.: Global ocean biogeochemistry model HAMOCC: Model
architecture and performance as component of the MPI-Earth system model
in different CMIP5 experimental realizations, J. Adv.
Model. Earth Sy., 5, 287–315, https://doi.org/10.1029/2012MS000178,
2013. a, b
Ingall, E. and Jahnke, R.: Evidence for enhanced phosphorus regeneration from
marine sediments overlain by oxygen depleted waters, Geochim. Cosmochim. Ac., 58, 2571–2575, https://doi.org/10.1016/0016-7037(94)90033-7,
1994. a
Jarvis, I., Lignum, J. S., Gröcke, D. R., Jenkyns, H. C., and Pearce,
M. A.: Black shale deposition, atmospheric CO2 drawdown, and
cooling during the Cenomanian-Turonian Oceanic Anoxic Event,
Paleoceanography, 26, PA3201, https://doi.org/10.1029/2010PA002081, 2011. a
Jenkyns, H. C.: Geochemistry of oceanic anoxic events, Geochem.
Geophy. Geosy., 11, Q03004, https://doi.org/10.1029/2009GC002788,
2010. a
Jørgensen, B. B.: A comparison of methods for the quantification of
bacterial sulfate reduction in coastal marine sediments: II Calculation
from mathematical models, Geomicrobiol. J., 1, 29–47,
https://doi.org/10.1080/01490457809377722,
1978. a, b
Jørgensen, B. B. and Kasten, S.: Sulfur Cycling and Methane
Oxidation,
in: Marine Geochemistry, edited by: Schulz, P. D. H. D. and Zabel, D. M.,
pp. 271–309, Springer Berlin Heidelberg,
2006. a
Jourabchi, P., Cappellen, P. V., and Regnier, P.: Quantitative interpretation
of pH distributions in aquatic sediments: A reaction-transport modeling
approach, Am. J. Sci., 305, 919–956,
https://doi.org/10.2475/ajs.305.9.919,
2005. a, b, c
Karstensen, J., Stramma, L., and Visbeck, M.: Oxygen minimum zones in the
eastern tropical Atlantic and Pacific oceans, Prog. Oceanogr., 77,
331–350, 2008. a
Kolmogorov, A.: Sulla determinazione empirica di una leggi di distribuzione,
Giorn. 1st Ital. Attuari, 4, 91, 1933. a
Krom, M. D. and Berner, R. A.: Adsorption of phosphate in anoxic marine
sediments, Limnol. Oceanogr., 25, 797–806,
https://doi.org/10.4319/lo.1980.25.5.0797,
1980. a
Krumins, V., Gehlen, M., Arndt, S., Van Cappellen, P., and Regnier, P.:
Dissolved inorganic carbon and alkalinity fluxes from coastal marine
sediments: model estimates for different shelf environments and sensitivity
to global change, Biogeosciences, 10, 371–398,
https://doi.org/10.5194/bg-10-371-2013, 2013. a, b, c
Lee, C., Wakeham, S. G., and I. Hedges, J.: Composition and flux of
particulate
amino acids and chloropigments in equatorial Pacific seawater and
sediments, Deep-Sea Res. Pt I, 47,
1535–1568, https://doi.org/10.1016/S0967-0637(99)00116-8,
2000. a, b
Lenton, T. M. and Watson, A. J.: Redfield revisited: 1. Regulation of
nitrate, phosphate, and oxygen in the ocean, Global Biogeochem. Cy.,
14, 225–248, https://doi.org/10.1029/1999GB900065,
2000. a
Li, Y.-H. and Gregory, S.: Diffusion of ions in sea water and in deep-sea
sediments, Geochim. Cosmochim. Ac., 38, 703–714,
https://doi.org/10.1016/0016-7037(74)90145-8,
1974. a, b
Longhurst, A., Sathyendranath, S., Platt, T., and Caverhill, C.: An estimate
of
global primary production in the ocean from satellite radiometer data,
J. Plankton Res., 17, 1245–1271, https://doi.org/10.1093/plankt/17.6.1245,
1995. a
Mackenzie, F. T.: Sediments, Diagenesis, and Sedimentary Rocks:
Treatise on Geochemistry, Second Edition, Elsevier, 2005. a
Meile, C. and Van Cappellen, P.: Global estimates of enhanced solute
transport
in marine sediments, Limnol. Oceanogr., 48, 777–786,
https://doi.org/10.4319/lo.2003.48.2.0777,
2003. a, b, c
Meyers, S. R.: Production and preservation of organic matter: The
significance of iron, Paleoceanography, 22, PA4211,
https://doi.org/10.1029/2006PA001332,
2007. a
Meysman, F. J. R., Middelburg, J. J., Herman, P. M. J., and Heip, C. H. R.:
Reactive transport in surface sediments. II. Media: an object-oriented
problem-solving environment for early diagenesis, Comput. Geosci.,
29, 301–318, https://doi.org/10.1016/S0098-3004(03)00007-4,
2003. a, b, c, d
Middelburg, J. J.: A simple rate model for organic matter decomposition in
marine sediments, Geochim. Cosmochim. Ac., 53, 1577–1581,
https://doi.org/10.1016/0016-7037(89)90239-1,
1989. a
Middelburg, J. J., Vlug, T., Jaco, F., and van der Nat, W. A.: Organic matter
mineralization in marine systems, Global Planet. Change, 8, 47–58,
https://doi.org/10.1016/0921-8181(93)90062-S,
1993. a, b, c
Morrison, J. M., Codispoti, L. A., Smith, S. L., Wishner, K., Flagg, C.,
Gardner, W. D., Gaurin, S., Naqvi, S., Manghnani, V., Prosperie, L., and
Gundersen, J. S.: The oxygen minimum zone in the Arabian Sea during 1995,
Deep-Sea Res. Pt. II, 46, 1903–1931, 1999. a
Mort, H. P., Adatte, T., Föllmi, K. B., Keller, G., Steinmann, P., Matera,
V.,
Berner, Z., and Stüben, D.: Phosphorus and the roles of productivity and
nutrient recycling during oceanic anoxic event 2, Geology, 35, 483–486,
https://doi.org/10.1130/G23475A.1,
2007. a
Munhoven, G.: Glacial–interglacial rain ratio changes: Implications for
atmospheric and ocean–sediment interaction, Deep-Sea Res. Pt II, 54, 722–746,
https://doi.org/10.1016/j.dsr2.2007.01.008,
2007. a, b, c
Najjar, R. G., Jin, X., Louanchi, F., Aumont, O., Caldeira, K., Doney, S. C.,
Dutay, J.-C., Follows, M., Gruber, N., Joos, F., Lindsay, K., Maier-Reimer,
E., Matear, R. J., Matsumoto, K., Monfray, P., Mouchet, A., Orr, J. C.,
Plattner, G.-K., Sarmiento, J. L., Schlitzer, R., Slater, R. D., Weirig,
M.-F., Yamanaka, Y., and Yool, A.: Impact of circulation on export
production, dissolved organic matter, and dissolved oxygen in the ocean:
Results from Phase II of the Ocean Carbon-cycle Model
Intercomparison Project (OCMIP-2), Global Biogeochem. Cy., 21,
GB3007, https://doi.org/10.1029/2006GB002857,
2007. a
Pianosi, F. and Wagener, T.: A simple and efficient method for global
sensitivity analysis based on cumulative distribution functions,
Environ. Modell. Softw., 67, 1–11,
https://doi.org/10.1016/j.envsoft.2015.01.004,
2015. a, b, c
Pianosi, F., Sarrazin, F., and Wagener, T.: A Matlab toolbox for Global
Sensitivity Analysis, Environ. Modell. Softw., 70, 80–85,
https://doi.org/10.1016/j.envsoft.2015.04.009,
2015. a
Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson,
D. B.,
and Wagener, T.: Sensitivity analysis of environmental models: A systematic
review with practical workflow, Environ. Modell. Softw., 79,
214–232, https://doi.org/10.1016/j.envsoft.2016.02.008,
2016. a, b, c
Redfield, A. C.: The influence of organisms on the composition of seawater,
The
sea, 2, 26–77, 1963. a
Reeburgh, W. S.: Oceanic Methane Biogeochemistry, Chem. Rev., 107,
486–513, https://doi.org/10.1021/cr050362v,
2007. a
Regnier, P., Dale, A. W., Arndt, S., LaRowe, D. E., Mogollón, J., and
Van Cappellen, P.: Quantitative analysis of anaerobic oxidation of methane
(AOM) in marine sediments: A modeling perspective, Earth-Sci. Rev.,
106, 105–130, https://doi.org/10.1016/j.earscirev.2011.01.002,
2011. a
Reimers, C. E., Lange, C. B., Tabak, M., and Bernhard, J. M.: Seasonal
spillover and varve formation in the Santa Barbara Basin, California,
Limnol. Oceanogr., 35, 1577–1585, https://doi.org/10.4319/lo.1990.35.7.1577,
1990. a, b
Ridgwell, A. and Hargreaves, J. C.: Regulation of atmospheric CO2 by
deep-sea sediments in an Earth system model, Global Biogeochem. Cy., 21,
GB2008, https://doi.org/10.1029/2006GB002764, 2007. a, b, c
Ridgwell, A. and Zeebe, R. E.: The role of the global carbonate cycle in the
regulation and evolution of the Earth system, Earth Planet. Sc.
Lett., 234, 299–315, https://doi.org/10.1016/j.epsl.2005.03.006,
2005. 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, b, c, d, e, f
Ruttenberg, K. C.: Reassessment of the oceanic residence time of phosphorus,
Chem. Geol., 107, 405–409, https://doi.org/10.1016/0009-2541(93)90220-D,
1993. a
Shaffer, G., Malskær Olsen, S., and Pepke Pedersen, J. O.: Presentation,
calibration and validation of the low-order, DCESS Earth System Model
(Version 1), Geosci. Model Dev., 1, 17–51,
https://doi.org/10.5194/gmd-1-17-2008, 2008. a, b, c
Smirnov, N. V.: On the estimation of the discrepancy between empirical curves
of distribution for two independent samples, Bull. Math. Univ. Moscou, 2,
1939. a
Soetaert, K., Middelburg, J. J., Herman, P. M. J., and Buis, K.: On the
coupling of benthic and pelagic biogeochemical models, Earth-Sci. Rev.,
51, 173–201, https://doi.org/10.1016/S0012-8252(00)00004-0,
2000. a, b
Stein, R., Rullkötter, J., and Welte, D. H.: Accumulation of
organic-carbon-rich sediments in the Late Jurassic and Cretaceous
Atlantic Ocean – A synthesis, Chem. Geol., 56, 1–32,
https://doi.org/10.1016/0009-2541(86)90107-5,
1986. a
Stolpovsky, K., Dale, A. W., and Wallmann, K.: A new look at the multi-G
model for organic carbon degradation in surface marine sediments for coupled
benthic–pelagic simulations of the global ocean, Biogeosciences, 15,
3391–3407, https://doi.org/10.5194/bg-15-3391-2018, 2018. a
Stumm, W. and Morgan, J. J.: Aquatic Chemistry: Chemical Equilibria and
Rates in Natural Waters, John Wiley & Sons, 2012. a
Teal, L., Bulling, M., Parker, E., and Solan, M.: Global patterns of
bioturbation intensity and mixed depth of marine soft sediments, Aquat.
Biol., 2, 207–218, https://doi.org/10.3354/ab00052,
2010. a, b
Thullner, M., Van Cappellen, P., and Regnier, P.: Modeling the impact of
microbial activity on redox dynamics in porous media, Geochim. Cosmochim. Ac., 69, 5005–5019, https://doi.org/10.1016/j.gca.2005.04.026,
2005. a
Tjiputra, J. F., Roelandt, C., Bentsen, M., Lawrence, D. M., Lorentzen, T.,
Schwinger, J., Seland, Ø., and Heinze, C.: Evaluation of the carbon cycle
components in the Norwegian Earth System Model (NorESM), Geosci. Model Dev.,
6, 301–325, https://doi.org/10.5194/gmd-6-301-2013, 2013. a
Toth, D. J. and Lerman, A.: Organic matter reactivity and sedimentation rates
in the ocean, Am. J. Sci., 277, 465–485,
https://doi.org/10.2475/ajs.277.4.465,
1977. a
Tsandev, I. and Slomp, C.: Modeling phosphorus cycling and carbon burial
during
Cretaceous Oceanic Anoxic Events, Earth Planet. Sc.
Lett., 286, 71–79, https://doi.org/10.1016/j.epsl.2009.06.016,
2009. a
Ullman, W. J. and Aller, R. C.: Diffusion coefficients in nearshore marine
sediments, Limnol. Oceanogr., 27, 552–556,
https://doi.org/10.4319/lo.1982.27.3.0552,
1982. a
Van Cappellen, P. and Berner, R. A.: A mathematical model for the early
diagenesis of phosphorus and fluorine in marine sediments; apatite
precipitation, Am. J. Sci., 288, 289–333,
https://doi.org/10.2475/ajs.288.4.289,
1988. a, b
Van Cappellen, P. and Ingall, E. D.: Benthic phosphorus regeneration, net
primary production, and ocean anoxia: A model of the coupled marine
biogeochemical cycles of carbon and phosphorus, Paleoceanography, 9,
677–692, https://doi.org/10.1029/94PA01455,
1994. a, b, c
Van Cappellen, P. and Wang, Y.: Cycling of iron and manganese in surface
sediments; a general theory for the coupled transport and reaction of carbon,
oxygen, nitrogen, sulfur, iron, and manganese, Am. J. Sci.,
296, 197–243, https://doi.org/10.2475/ajs.296.3.197,
1996.
a, b, c, d
van Weering, T. C. E., de Stigter, H. C., Boer, W., and de Haas, H.: Recent
sediment transport and accumulation on the NW Iberian margin, Prog.
Oceanogr., 52, 349–371, https://doi.org/10.1016/S0079-6611(02)00015-0,
2002. a
Vanderborght, J.-P. and Billen, G.: Vertical distribution of nitrate
concentration in interstitial water of marine sediments with nitrification
and denitrification, Limnol. Oceanogr., 20, 953–961,
https://doi.org/10.4319/lo.1975.20.6.0953,
1975. a, b, c
Vanderborght, J.-P., Wollas, R., and Bitten, G.: Kinetic models of diagenesis
in disturbed sediments. Part 2. Nitrogen diagenesis, Limnol.
Oceanogr., 22, 794–803, https://doi.org/10.4319/lo.1977.22.5.0794,
1977. a, b
Wakeham, S. G., Hedges, J. I., Lee, C., Peterson, M. L., and Hernes, P. J.:
Compositions and transport of lipid biomarkers through the water column and
surficial sediments of the equatorial Pacific Ocean, Deep Sea Research
Part II: Topical Studies in Oceanography, 44, 2131–2162,
https://doi.org/10.1016/S0967-0645(97)00035-0,
1997. a, b
Wang, Y. and Van Cappellen, P.: A multicomponent reactive transport model of
early diagenesis: Application to redox cycling in coastal marine sediments,
Geochim. Cosmochim. Ac., 60, 2993–3014,
https://doi.org/10.1016/0016-7037(96)00140-8,
1996. a, b, c, d
Wenzhöfer, F. and Glud, R. N.: Benthic carbon mineralization in the
Atlantic: a synthesis based on in situ data from the last decade, Deep-Sea
Res. Pt. I, 49, 1255–1279,
https://doi.org/10.1016/S0967-0637(02)00025-0,
2002. a
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
Short summary
We present a 1-D analytical diagenetic model resolving organic matter (OM) cycling and the associated biogeochemical dynamics in marine sediments designed to be coupled to Earth system models (ESMs). The reaction network accounts for the most important reactions associated with OM dynamics. The coupling is described and the OM degradation rate constant is tuned. Various observations, such as pore water profiles, sediment water interface fluxes and OM content, are reproduced with good accuracy.
We present a 1-D analytical diagenetic model resolving organic matter (OM) cycling and the...
