Articles | Volume 10, issue 1
https://doi.org/10.5194/gmd-10-453-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-453-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
01 Feb 2017
Model description paper |
| 01 Feb 2017
Bottom RedOx Model (BROM v.1.1): a coupled benthic–pelagic model for simulation of water and sediment biogeochemistry
Evgeniy V. Yakushev
CORRESPONDING AUTHOR
Norwegian Institute for Water Research (NIVA), Gaustadalléen 21,
0349 Oslo, Norway
P.P. Shirshov Institute of Oceanology RAS, Nakhimovskiy prosp. 36,
117991, Moscow, Russia
Elizaveta A. Protsenko
Norwegian Institute for Water Research (NIVA), Gaustadalléen 21,
0349 Oslo, Norway
P.P. Shirshov Institute of Oceanology RAS, Nakhimovskiy prosp. 36,
117991, Moscow, Russia
Jorn Bruggeman
Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth, PL1 3DH, UK
Philip Wallhead
Norwegian Institute for Water Research (NIVA Vest), Thormøhlensgate
53 D, 5006 Bergen, Norway
Svetlana V. Pakhomova
Norwegian Institute for Air Research (NILU), P.O. Box 100, 2027
Kjeller, Norway
P.P. Shirshov Institute of Oceanology RAS, Nakhimovskiy prosp. 36,
117991, Moscow, Russia
Norwegian University of Science and Technology (NTNU), 7491
Trondheim, Norway
Shamil Kh. Yakubov
P.P. Shirshov Institute of Oceanology RAS, Nakhimovskiy prosp. 36,
117991, Moscow, Russia
Richard G. J. Bellerby
State Key Laboratory for Estuarine and Coastal Research, East China
Normal University, Shanghai, China
Norwegian Institute for Water Research (NIVA Vest), Thormøhlensgate
53 D, 5006 Bergen, Norway
Raoul-Marie Couture
Norwegian Institute for Water Research (NIVA), Gaustadalléen 21,
0349 Oslo, Norway
University of Waterloo, Earth and Environmental Sciences, Ecohydrology
Group, 200 University Avenue West, N2L3G2, Waterloo, Canada
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- Worldwide measurements of bioturbation intensity, ventilation rate, and the mixing depth of marine sediments M. Solan et al. 10.1038/s41597-019-0069-7
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- Potential impact of the sea-ice ecosystem to the polar seas biogeochemistry Y. Kwon et al. 10.3389/fmars.2023.1181650
- Benthic environmental impact of deep sea cage and traditional cage fish mariculture in Yellow Sea, China Y. Zhao et al. 10.1111/are.15374
- FESDIA (v1.0): exploring temporal variations of sediment biogeochemistry under the influence of flood events using numerical modelling S. Nmor et al. 10.5194/gmd-15-7325-2022
- Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling C. Lemmen et al. 10.5194/gmd-11-915-2018
- HR3DHG version 1: modeling the spatiotemporal dynamics of mercury in the Augusta Bay (southern Italy) G. Denaro et al. 10.5194/gmd-13-2073-2020
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- Understanding the Biogeochemical Impacts of Fish Farms Using a Benthic-Pelagic Model E. Yakushev et al. 10.3390/w12092384
- Ocean alkalinity enhancement impacts: regrowth of marine microalgae in alkaline mineral concentrations simulating the initial concentrations after ship-based dispersions S. Delacroix et al. 10.5194/bg-21-3677-2024
- Model estimates of the impact of bioirrigation activity of Marenzelleria spp. on the Gulf of Finland ecosystem in a changing climate A. Isaev et al. 10.1016/j.jmarsys.2016.08.005
28 citations as recorded by crossref.
- What global biogeochemical consequences will marine animal–sediment interactions have during climate change? T. Bianchi et al. 10.1525/elementa.2020.00180
- Modeling a coastal ecosystem to estimate climate change mitigation and a model demonstration in Tokyo Bay A. Sohma et al. 10.1016/j.ecolmodel.2018.04.019
- Ecological ReGional Ocean Model with vertically resolved sediments (ERGOM SED 1.0): coupling benthic and pelagic biogeochemistry of the south-western Baltic Sea H. Radtke et al. 10.5194/gmd-12-275-2019
- Modeling the Influence of Eutrophication and Redox Conditions on Mercury Cycling at the Sediment-Water Interface in the Berre Lagoon S. Pakhomova et al. 10.3389/fmars.2018.00291
- Unified understanding of intrinsic and extrinsic controls of dissolved organic carbon reactivity in aquatic ecosystems M. Berggren et al. 10.1002/ecy.3763
- The interplay between terrestrial organic matter and benthic macrofauna: Framework, synthesis, and perspectives J. Pardo et al. 10.1002/ecs2.4492
- Sediment-focused environmental impact of long-term large- scale marine bivalve and seaweed farming in Sungo Bay, China J. Zhang et al. 10.1016/j.aquaculture.2020.735561
- Modelling the Influence from Biota and Organic Matter on the Transport Dynamics of Microplastics in the Water Column and Bottom Sediments in the Oslo Fjord A. Berezina et al. 10.3390/w13192690
- Time Scales of Benthic Macrofaunal Response to Pelagic Production Differ Between Major Feeding Groups G. Lessin et al. 10.3389/fmars.2019.00015
- Arctic Inshore Biogeochemical Regime Influenced by Coastal Runoff and Glacial Melting (Case Study for the Templefjord, Spitsbergen) M. Pogojeva et al. 10.3390/geosciences12010044
- RADIv1: a non-steady-state early diagenetic model for ocean sediments in Julia and MATLAB/GNU Octave O. Sulpis et al. 10.5194/gmd-15-2105-2022
- INFLUENCE OF MARINE ORGANISMS' PH DEPENDENCY ON CARBON UPTAKE, CAPTURE, AND STORAGE FUNCTIONS K. OMACHI & A. SOHMA 10.2208/kaigan.78.2_I_901
- Worldwide measurements of bioturbation intensity, ventilation rate, and the mixing depth of marine sediments M. Solan et al. 10.1038/s41597-019-0069-7
- A 1-Dimensional Sympagic–Pelagic–Benthic Transport Model (SPBM): Coupled Simulation of Ice, Water Column, and Sediment Biogeochemistry, Suitable for Arctic Applications S. Yakubov et al. 10.3390/w11081582
- New insights into submarine tailing disposal for a reduced environmental footprint: Lessons learnt from Norwegian fjords E. Ramirez-Llodra et al. 10.1016/j.marpolbul.2021.113150
- Model-Based Analysis of the Oxygen Budget in the Black Sea Water Column M. Novikov et al. 10.3390/w16172380
- Testing the applicability of the Modelling-Ongrowing Fish farms-Monitoring B (MOM-B) investigation system for assessing benthic habitat quality in the manila clam Ruditapes philippinarum aquaculture areas Y. Liu et al. 10.1016/j.marenvres.2024.106558
- Modeling Nickel Leaching from Abandoned Mine Tailing Deposits in Jøssingfjorden S. Pakhomova et al. 10.3390/w13070967
- An effective process-based modeling approach for predicting hypoxia and blue tide in Tokyo Bay K. Wang et al. 10.1080/21664250.2022.2119011
- Modelling Marine Sediment Biogeochemistry: Current Knowledge Gaps, Challenges, and Some Methodological Advice for Advancement G. Lessin et al. 10.3389/fmars.2018.00019
- Potential impact of the sea-ice ecosystem to the polar seas biogeochemistry Y. Kwon et al. 10.3389/fmars.2023.1181650
- Benthic environmental impact of deep sea cage and traditional cage fish mariculture in Yellow Sea, China Y. Zhao et al. 10.1111/are.15374
- FESDIA (v1.0): exploring temporal variations of sediment biogeochemistry under the influence of flood events using numerical modelling S. Nmor et al. 10.5194/gmd-15-7325-2022
- Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling C. Lemmen et al. 10.5194/gmd-11-915-2018
- HR3DHG version 1: modeling the spatiotemporal dynamics of mercury in the Augusta Bay (southern Italy) G. Denaro et al. 10.5194/gmd-13-2073-2020
- Modeling of biogeochemical consequences of a CO2 leak in the water column with bottom anoxia E. Yakushev et al. 10.1016/j.ijggc.2021.103464
- Understanding the Biogeochemical Impacts of Fish Farms Using a Benthic-Pelagic Model E. Yakushev et al. 10.3390/w12092384
- Ocean alkalinity enhancement impacts: regrowth of marine microalgae in alkaline mineral concentrations simulating the initial concentrations after ship-based dispersions S. Delacroix et al. 10.5194/bg-21-3677-2024
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Latest update: 25 Dec 2024
Short summary
This paper presents a new benthic–pelagic biogeochemical model (BROM) that combines a relatively simple pelagic ecosystem model with a detailed biogeochemical model of the coupled cycles of N, P, Si, C, O, S, Mn, Fe in the water column, benthic boundary layer, and sediments, with a focus on oxygen and redox state. BROM should be of interest for the study of a range of environmental applications in addition to hypoxia, such as benthic nutrient recycling, redox biogeochemistry, and eutrophication.
This paper presents a new benthic–pelagic biogeochemical model (BROM) that combines a...
