Articles | Volume 8, issue 7
https://doi.org/10.5194/gmd-8-2231-2015
© Author(s) 2015. 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-8-2231-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| Highlight paper
| 
24 Jul 2015
Model description paper | Highlight paper |
| 24 Jul 2015
EMPOWER-1.0: an Efficient Model of Planktonic ecOsystems WrittEn in R
T. R. Anderson
CORRESPONDING AUTHOR
National Oceanography Centre, University of Southampton, Waterfront Campus, European Way, Southampton SO14 3ZH, UK
W. C. Gentleman
Department of Engineering Mathematics, Dalhousie University, 5269 Morris St., Halifax, Nova Scotia, B3H 4R2, Canada
National Oceanography Centre, University of Southampton, Waterfront Campus, European Way, Southampton SO14 3ZH, UK
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Cited
18 citations as recorded by crossref.
- Uncertainties in ocean biogeochemical simulations: Application of ensemble data assimilation to a one-dimensional model N. Mamnun et al. 10.3389/fmars.2022.984236
- Remembering John Steele and his models for understanding the structure and function of marine ecosystems T. Anderson & W. Gentleman 10.1093/plankt/fbz042
- Grazing strategies determine the size composition of phytoplankton in eutrophic lakes S. To et al. 10.1002/lno.12538
- The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python B. Post et al. 10.5194/gmd-17-1175-2024
- Models for estimating photosynthesis parameters from in situ production profiles Ž. Kovač et al. 10.1016/j.pocean.2017.10.013
- Phytoplankton acclimation to changing light intensity in a turbulent mixed layer: A Lagrangian modelling study M. Tomkins et al. 10.1016/j.ecolmodel.2019.108917
- Impact of Spatial Variability in Zooplankton Grazing Rates on Carbon Export Flux S. Meyjes et al. 10.1029/2023GB008085
- A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations P. Anugerahanti et al. 10.5194/bg-15-6685-2018
- A general size- and trait-based model of plankton communities C. Serra-Pompei et al. 10.1016/j.pocean.2020.102473
- A focus on different types of organic matter particles and their significance in the open ocean carbon cycle C. Baumas & M. Bizic 10.1016/j.pocean.2024.103233
- Considering non-predatory death in the estimation of copepod early life stage mortality and survivorship W. Gentleman & E. Head 10.1093/plankt/fbw075
- Unified concepts for understanding and modelling turnover of dissolved organic matter from freshwaters to the ocean: the UniDOM model T. Anderson et al. 10.1007/s10533-019-00621-1
- Ecological and environmental factors influencing exclusion patterns of phytoplankton size classes in lake systems S. To et al. 10.1016/j.ecocom.2024.101115
- Manganese co-limitation of phytoplankton growth and major nutrient drawdown in the Southern Ocean T. Browning et al. 10.1038/s41467-021-21122-6
- “Sinking dead”—How zooplankton carcasses contribute to particulate organic carbon flux in the subantarctic Southern Ocean S. Halfter et al. 10.1002/lno.11971
- Quantifying spatiotemporal variability in zooplankton dynamics in the Gulf of Mexico with a physical–biogeochemical model T. Shropshire et al. 10.5194/bg-17-3385-2020
- From cell size and first principles to structure and function of unicellular plankton communities K. Andersen & A. Visser 10.1016/j.pocean.2023.102995
- PIBM 1.0: an individual-based model for simulating phytoplankton acclimation, diversity, and evolution in the ocean I. Sala & B. Chen 10.5194/gmd-18-4155-2025
18 citations as recorded by crossref.
- Uncertainties in ocean biogeochemical simulations: Application of ensemble data assimilation to a one-dimensional model N. Mamnun et al. 10.3389/fmars.2022.984236
- Remembering John Steele and his models for understanding the structure and function of marine ecosystems T. Anderson & W. Gentleman 10.1093/plankt/fbz042
- Grazing strategies determine the size composition of phytoplankton in eutrophic lakes S. To et al. 10.1002/lno.12538
- The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python B. Post et al. 10.5194/gmd-17-1175-2024
- Models for estimating photosynthesis parameters from in situ production profiles Ž. Kovač et al. 10.1016/j.pocean.2017.10.013
- Phytoplankton acclimation to changing light intensity in a turbulent mixed layer: A Lagrangian modelling study M. Tomkins et al. 10.1016/j.ecolmodel.2019.108917
- Impact of Spatial Variability in Zooplankton Grazing Rates on Carbon Export Flux S. Meyjes et al. 10.1029/2023GB008085
- A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations P. Anugerahanti et al. 10.5194/bg-15-6685-2018
- A general size- and trait-based model of plankton communities C. Serra-Pompei et al. 10.1016/j.pocean.2020.102473
- A focus on different types of organic matter particles and their significance in the open ocean carbon cycle C. Baumas & M. Bizic 10.1016/j.pocean.2024.103233
- Considering non-predatory death in the estimation of copepod early life stage mortality and survivorship W. Gentleman & E. Head 10.1093/plankt/fbw075
- Unified concepts for understanding and modelling turnover of dissolved organic matter from freshwaters to the ocean: the UniDOM model T. Anderson et al. 10.1007/s10533-019-00621-1
- Ecological and environmental factors influencing exclusion patterns of phytoplankton size classes in lake systems S. To et al. 10.1016/j.ecocom.2024.101115
- Manganese co-limitation of phytoplankton growth and major nutrient drawdown in the Southern Ocean T. Browning et al. 10.1038/s41467-021-21122-6
- “Sinking dead”—How zooplankton carcasses contribute to particulate organic carbon flux in the subantarctic Southern Ocean S. Halfter et al. 10.1002/lno.11971
- Quantifying spatiotemporal variability in zooplankton dynamics in the Gulf of Mexico with a physical–biogeochemical model T. Shropshire et al. 10.5194/bg-17-3385-2020
- From cell size and first principles to structure and function of unicellular plankton communities K. Andersen & A. Visser 10.1016/j.pocean.2023.102995
- PIBM 1.0: an individual-based model for simulating phytoplankton acclimation, diversity, and evolution in the ocean I. Sala & B. Chen 10.5194/gmd-18-4155-2025
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Short summary
Ecosystem models provide a powerful tool for simulating ocean biology. Care must be exercised when selecting appropriate equations and parameter values to represent chosen marine ecosystems. Here, we present an efficient plankton model testbed, using simplified physics and coded in the freely available language R. Multiple runs can be undertaken for different ocean sites, permitting thorough evaluation of ecosystem model performance. The testbed also serves as an excellent resource for teaching.
Ecosystem models provide a powerful tool for simulating ocean biology. Care must be exercised...
