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
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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
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- 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
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- 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
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- Optimal control and system limitation in a Southern Ocean ecosystem model J. Melbourne-Thomas et al. 10.1016/j.dsr2.2013.02.017
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