Articles | Volume 8, issue 5
https://doi.org/10.5194/bg-8-1291-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-8-1291-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Optimizing models of the North Atlantic spring bloom using physical, chemical and bio-optical observations from a Lagrangian float
W. Bagniewski
University of Maine, School of Marine Sciences, Orono, ME, USA
Dalhousie University, Department of Oceanography, Halifax, NS, Canada
K. Fennel
Dalhousie University, Department of Oceanography, Halifax, NS, Canada
M. J. Perry
University of Maine, School of Marine Sciences, Orono, ME, USA
E. A. D'Asaro
University of Washington, Applied Physics Laboratory, Seattle, WA, USA
Viewed
Total article views: 6,025 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 19 Nov 2010)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,721 | 4,156 | 148 | 6,025 | 129 | 109 |
- HTML: 1,721
- PDF: 4,156
- XML: 148
- Total: 6,025
- BibTeX: 129
- EndNote: 109
Total article views: 5,436 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 25 May 2011)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,464 | 3,847 | 125 | 5,436 | 116 | 107 |
- HTML: 1,464
- PDF: 3,847
- XML: 125
- Total: 5,436
- BibTeX: 116
- EndNote: 107
Total article views: 589 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 19 Nov 2010)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
257 | 309 | 23 | 589 | 13 | 2 |
- HTML: 257
- PDF: 309
- XML: 23
- Total: 589
- BibTeX: 13
- EndNote: 2
Cited
47 citations as recorded by crossref.
- High-resolution observations of aggregate flux during a sub-polar North Atlantic spring bloom N. Briggs et al. 10.1016/j.dsr.2011.07.007
- Tidal impacts on primary production in the North Sea C. Zhao et al. 10.5194/esd-10-287-2019
- Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic M. Gharamti et al. 10.1016/j.jmarsys.2016.12.003
- Globally Consistent Quantitative Observations of Planktonic Ecosystems F. Lombard et al. 10.3389/fmars.2019.00196
- Challenges associated with modeling low-oxygen waters in Chesapeake Bay: a multiple model comparison I. Irby et al. 10.5194/bg-13-2011-2016
- Simulation of Observed PCBs and Pesticides in the Water Column during the North Atlantic Bloom Experiment L. Zhang et al. 10.1021/acs.est.5b00223
- Model investigations of the North Atlantic spring bloom initiation A. Kuhn et al. 10.1016/j.pocean.2015.07.004
- Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites M. Gharamti et al. 10.1016/j.ocemod.2017.02.006
- Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models S. Kern et al. 10.5194/gmd-17-621-2024
- Using biogeochemical data assimilation to assess the relative skill of multiple ecosystem models in the Mid-Atlantic Bight: effects of increasing the complexity of the planktonic food web Y. Xiao & M. Friedrichs 10.5194/bg-11-3015-2014
- Data assimilation with a local Ensemble Kalman Filter applied to a three-dimensional biological model of the Middle Atlantic Bight J. Hu et al. 10.1016/j.jmarsys.2011.11.016
- Phytoplankton growth formulation in marine ecosystem models: Should we take into account photo-acclimation and variable stoichiometry in oligotrophic areas? S. Ayata et al. 10.1016/j.jmarsys.2012.12.010
- Environmental Change at Deep-Sea Sponge Habitats Over the Last Half Century: A Model Hindcast Study for the Age of Anthropogenic Climate Change A. Samuelsen et al. 10.3389/fmars.2022.737164
- Framework to Extract Extreme Phytoplankton Bloom Events with Remote Sensing Datasets: A Case Study W. Lu et al. 10.3390/rs14153557
- Mixed layer eddies supply nutrients to enhance the spring phytoplankton bloom I. Simoes-Sousa et al. 10.3389/fmars.2022.825027
- An operational biogeochemical model of the North-East Atlantic: Model description and skill assessment T. Dabrowski et al. 10.1016/j.jmarsys.2013.08.001
- Air-sea CO2 fluxes and cross-shelf exchange of inorganic carbon in the East China Sea from a coupled physical-biogeochemical model R. Na et al. 10.1016/j.scitotenv.2023.167572
- Uncertainties in ocean biogeochemical simulations: Application of ensemble data assimilation to a one-dimensional model N. Mamnun et al. 10.3389/fmars.2022.984236
- An along-track Biogeochemical Argo modelling framework: a case study of model improvements for the Nordic seas V. Yumruktepe et al. 10.5194/gmd-16-6875-2023
- Living up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook H. Dierssen et al. 10.3389/fenvs.2021.649528
- Icebergs as Unique Lagrangian Ecosystems in Polar Seas K. Smith et al. 10.1146/annurev-marine-121211-172317
- The assimilation of satellite‐derived data into a one‐dimensional lower trophic level marine ecosystem model Y. Xiao & M. Friedrichs 10.1002/2013JC009433
- Sustenance of Phytoplankton in the Subpolar North Atlantic During Winter F. Karimpour et al. 10.1029/2017JC013639
- Estimation of hyperspectral inherent optical properties from in-water radiometry: error analysis and application to in situ data E. Rehm & C. Mobley 10.1364/AO.52.000795
- Assessing the utility of frequency dependent nudging for reducing biases in biogeochemical models K. Lagman et al. 10.1016/j.ocemod.2014.06.006
- Nutrient consumption and chain tuning in diatoms exposed to storm-like turbulence G. Dell’Aquila et al. 10.1038/s41598-017-02084-6
- Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. Kaufman et al. 10.5194/bg-15-73-2018
- Autonomous data describe North Atlantic spring bloom K. Fennel et al. 10.1029/2011EO500002
- Spring plankton dynamics in the Eastern Bering Sea, 1971–2050: Mechanisms of interannual variability diagnosed with a numerical model N. Banas et al. 10.1002/2015JC011449
- Nitrogen uptake and nitrification in the subarctic North Atlantic Ocean X. Peng et al. 10.1002/lno.10784
- Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
- Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon M. Falls et al. 10.5194/gmd-15-5713-2022
- The interactive roles of temperature, nutrients, and zooplankton grazing in controlling the winter-spring phytoplankton bloom in a temperate, coastal ecosystem, Long Island Sound J. George et al. 10.1002/lno.10020
- A 50-Year Journey from Phosphate to Autonomous Underwater Vehicles M. Perry 10.1146/annurev-marine-010419-010945
- Simple parameter estimation for complex models — Testing evolutionary techniques on 3-dimensional biogeochemical ocean models J. Mattern & C. Edwards 10.1016/j.jmarsys.2016.10.012
- A multi-method autonomous assessment of primary productivity and export efficiency in the springtime North Atlantic N. Briggs et al. 10.5194/bg-15-4515-2018
- Assessing the value of biogeochemical Argo profiles versus ocean color observations for biogeochemical model optimization in the Gulf of Mexico B. Wang et al. 10.5194/bg-17-4059-2020
- EAT v1.0.0: a 1D test bed for physical–biogeochemical data assimilation in natural waters J. Bruggeman et al. 10.5194/gmd-17-5619-2024
- Simulating sediment–water exchange of nutrients and oxygen: A comparative assessment of models against mesocosm observations R. Wilson et al. 10.1016/j.csr.2013.05.003
- ECOSMO II(CHL): a marine biogeochemical model for the North Atlantic and the Arctic V. Yumruktepe et al. 10.5194/gmd-15-3901-2022
- Experiments in optimizing simulations of the subsurface chlorophyll maximum in the South China Sea S. Wang et al. 10.1016/j.jmarsys.2015.11.003
- Optimal control and system limitation in a Southern Ocean ecosystem model J. Melbourne-Thomas et al. 10.1016/j.dsr2.2013.02.017
- Eddy-driven subduction exports particulate organic carbon from the spring bloom M. Omand et al. 10.1126/science.1260062
- Ocean biogeochemical modelling K. Fennel et al. 10.1038/s43586-022-00154-2
- A Satellite-Based Lagrangian View on Phytoplankton Dynamics Y. Lehahn et al. 10.1146/annurev-marine-121916-063204
- An Assessment of Vertical Carbon Flux Parameterizations Using Backscatter Data From BGC Argo B. Wang & K. Fennel 10.1029/2022GL101220
- Fate of Chiral and Achiral Organochlorine Pesticides in the North Atlantic Bloom Experiment L. Zhang et al. 10.1021/es3009248
46 citations as recorded by crossref.
- High-resolution observations of aggregate flux during a sub-polar North Atlantic spring bloom N. Briggs et al. 10.1016/j.dsr.2011.07.007
- Tidal impacts on primary production in the North Sea C. Zhao et al. 10.5194/esd-10-287-2019
- Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic M. Gharamti et al. 10.1016/j.jmarsys.2016.12.003
- Globally Consistent Quantitative Observations of Planktonic Ecosystems F. Lombard et al. 10.3389/fmars.2019.00196
- Challenges associated with modeling low-oxygen waters in Chesapeake Bay: a multiple model comparison I. Irby et al. 10.5194/bg-13-2011-2016
- Simulation of Observed PCBs and Pesticides in the Water Column during the North Atlantic Bloom Experiment L. Zhang et al. 10.1021/acs.est.5b00223
- Model investigations of the North Atlantic spring bloom initiation A. Kuhn et al. 10.1016/j.pocean.2015.07.004
- Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites M. Gharamti et al. 10.1016/j.ocemod.2017.02.006
- Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models S. Kern et al. 10.5194/gmd-17-621-2024
- Using biogeochemical data assimilation to assess the relative skill of multiple ecosystem models in the Mid-Atlantic Bight: effects of increasing the complexity of the planktonic food web Y. Xiao & M. Friedrichs 10.5194/bg-11-3015-2014
- Data assimilation with a local Ensemble Kalman Filter applied to a three-dimensional biological model of the Middle Atlantic Bight J. Hu et al. 10.1016/j.jmarsys.2011.11.016
- Phytoplankton growth formulation in marine ecosystem models: Should we take into account photo-acclimation and variable stoichiometry in oligotrophic areas? S. Ayata et al. 10.1016/j.jmarsys.2012.12.010
- Environmental Change at Deep-Sea Sponge Habitats Over the Last Half Century: A Model Hindcast Study for the Age of Anthropogenic Climate Change A. Samuelsen et al. 10.3389/fmars.2022.737164
- Framework to Extract Extreme Phytoplankton Bloom Events with Remote Sensing Datasets: A Case Study W. Lu et al. 10.3390/rs14153557
- Mixed layer eddies supply nutrients to enhance the spring phytoplankton bloom I. Simoes-Sousa et al. 10.3389/fmars.2022.825027
- An operational biogeochemical model of the North-East Atlantic: Model description and skill assessment T. Dabrowski et al. 10.1016/j.jmarsys.2013.08.001
- Air-sea CO2 fluxes and cross-shelf exchange of inorganic carbon in the East China Sea from a coupled physical-biogeochemical model R. Na et al. 10.1016/j.scitotenv.2023.167572
- Uncertainties in ocean biogeochemical simulations: Application of ensemble data assimilation to a one-dimensional model N. Mamnun et al. 10.3389/fmars.2022.984236
- An along-track Biogeochemical Argo modelling framework: a case study of model improvements for the Nordic seas V. Yumruktepe et al. 10.5194/gmd-16-6875-2023
- Living up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook H. Dierssen et al. 10.3389/fenvs.2021.649528
- Icebergs as Unique Lagrangian Ecosystems in Polar Seas K. Smith et al. 10.1146/annurev-marine-121211-172317
- The assimilation of satellite‐derived data into a one‐dimensional lower trophic level marine ecosystem model Y. Xiao & M. Friedrichs 10.1002/2013JC009433
- Sustenance of Phytoplankton in the Subpolar North Atlantic During Winter F. Karimpour et al. 10.1029/2017JC013639
- Estimation of hyperspectral inherent optical properties from in-water radiometry: error analysis and application to in situ data E. Rehm & C. Mobley 10.1364/AO.52.000795
- Assessing the utility of frequency dependent nudging for reducing biases in biogeochemical models K. Lagman et al. 10.1016/j.ocemod.2014.06.006
- Nutrient consumption and chain tuning in diatoms exposed to storm-like turbulence G. Dell’Aquila et al. 10.1038/s41598-017-02084-6
- Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. Kaufman et al. 10.5194/bg-15-73-2018
- Autonomous data describe North Atlantic spring bloom K. Fennel et al. 10.1029/2011EO500002
- Spring plankton dynamics in the Eastern Bering Sea, 1971–2050: Mechanisms of interannual variability diagnosed with a numerical model N. Banas et al. 10.1002/2015JC011449
- Nitrogen uptake and nitrification in the subarctic North Atlantic Ocean X. Peng et al. 10.1002/lno.10784
- Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
- Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon M. Falls et al. 10.5194/gmd-15-5713-2022
- The interactive roles of temperature, nutrients, and zooplankton grazing in controlling the winter-spring phytoplankton bloom in a temperate, coastal ecosystem, Long Island Sound J. George et al. 10.1002/lno.10020
- A 50-Year Journey from Phosphate to Autonomous Underwater Vehicles M. Perry 10.1146/annurev-marine-010419-010945
- Simple parameter estimation for complex models — Testing evolutionary techniques on 3-dimensional biogeochemical ocean models J. Mattern & C. Edwards 10.1016/j.jmarsys.2016.10.012
- A multi-method autonomous assessment of primary productivity and export efficiency in the springtime North Atlantic N. Briggs et al. 10.5194/bg-15-4515-2018
- Assessing the value of biogeochemical Argo profiles versus ocean color observations for biogeochemical model optimization in the Gulf of Mexico B. Wang et al. 10.5194/bg-17-4059-2020
- EAT v1.0.0: a 1D test bed for physical–biogeochemical data assimilation in natural waters J. Bruggeman et al. 10.5194/gmd-17-5619-2024
- Simulating sediment–water exchange of nutrients and oxygen: A comparative assessment of models against mesocosm observations R. Wilson et al. 10.1016/j.csr.2013.05.003
- ECOSMO II(CHL): a marine biogeochemical model for the North Atlantic and the Arctic V. Yumruktepe et al. 10.5194/gmd-15-3901-2022
- Experiments in optimizing simulations of the subsurface chlorophyll maximum in the South China Sea S. Wang et al. 10.1016/j.jmarsys.2015.11.003
- Optimal control and system limitation in a Southern Ocean ecosystem model J. Melbourne-Thomas et al. 10.1016/j.dsr2.2013.02.017
- Eddy-driven subduction exports particulate organic carbon from the spring bloom M. Omand et al. 10.1126/science.1260062
- Ocean biogeochemical modelling K. Fennel et al. 10.1038/s43586-022-00154-2
- A Satellite-Based Lagrangian View on Phytoplankton Dynamics Y. Lehahn et al. 10.1146/annurev-marine-121916-063204
- An Assessment of Vertical Carbon Flux Parameterizations Using Backscatter Data From BGC Argo B. Wang & K. Fennel 10.1029/2022GL101220
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 21 Nov 2024
Altmetrics
Final-revised paper
Preprint