Articles | Volume 13, issue 7
https://doi.org/10.5194/bg-13-2011-2016
© Author(s) 2016. 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-13-2011-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Challenges associated with modeling low-oxygen waters in Chesapeake Bay: a multiple model comparison
Isaac D. Irby
CORRESPONDING AUTHOR
Virginia Institute of Marine Science, College of William & Mary, P.O. Box 1346, Gloucester Point, VA 23062, USA
Virginia Institute of Marine Science, College of William & Mary, P.O. Box 1346, Gloucester Point, VA 23062, USA
Carl T. Friedrichs
Virginia Institute of Marine Science, College of William & Mary, P.O. Box 1346, Gloucester Point, VA 23062, USA
Aaron J. Bever
Anchor QEA, LLC, 130 Battery Street, Suite 400, San Francisco, CA 94111, USA
Raleigh R. Hood
Horn Point Laboratory, University of Maryland Center for Environmental Science, P.O. Box 775, Cambridge, MD 21613, USA
Lyon W. J. Lanerolle
NOAA/NOS/OCS Coast Survey Development Laboratory, 1315 East–West Highway, Silver Spring, MD 20910, USA
ERT Inc., 14401 Sweitzer Lane Suite 300, Laurel, MD 20707, USA
Ming Li
Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, P.O. Box 38, Solomons, MD 20688, USA
Lewis Linker
US Environmental Protection Agency Chesapeake Bay Program Office, 410 Severn Avenue, Annapolis, MD 21403, USA
Malcolm E. Scully
Woods Hole Oceanographic Institution, Applied Ocean Physics and Engineering Department, Woods Hole, MA 02543, USA
Kevin Sellner
Chesapeake Research Consortium, 645 Contees Wharf Road, Edgewater, MD 21037, USA
Jian Shen
Virginia Institute of Marine Science, College of William & Mary, P.O. Box 1346, Gloucester Point, VA 23062, USA
Jeremy Testa
Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, P.O. Box 38, Solomons, MD 20688, USA
Hao Wang
Horn Point Laboratory, University of Maryland Center for Environmental Science, P.O. Box 775, Cambridge, MD 21613, USA
Ping Wang
VIMS/Chesapeake Bay Program Office, 410 Severn Avenue, Annapolis, MD 21403, USA
Meng Xia
Department of Natural Sciences, University of Maryland Eastern Shore, MD, USA
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Cited
70 citations as recorded by crossref.
- Application of an Unstructured Grid-Based Water Quality Model to Chesapeake Bay and Its Adjacent Coastal Ocean M. Xia & L. Jiang 10.3390/jmse4030052
- Ecological Forecasting and the Science of Hypoxia in Chesapeake Bay J. Testa et al. 10.1093/biosci/bix048
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- The Extent of Seasonally Suitable Habitats May Limit Forage Fish Production in a Temperate Estuary M. Fabrizio et al. 10.3389/fmars.2021.706666
- Potential Salinity and Temperature Futures for the Chesapeake Bay Using a Statistical Downscaling Spatial Disaggregation Framework B. Muhling et al. 10.1007/s12237-017-0280-8
- The impacts of warming and hypoxia on the performance of an obligate ram ventilator D. Crear et al. 10.1093/conphys/coz026
- Nitrogen reductions have decreased hypoxia in the Chesapeake Bay: Evidence from empirical and numerical modeling L. Frankel et al. 10.1016/j.scitotenv.2021.152722
- The competing impacts of climate change and nutrient reductions on dissolved oxygen in Chesapeake Bay I. Irby et al. 10.5194/bg-15-2649-2018
- Relative impacts of global changes and regional watershed changes on the inorganic carbon balance of the Chesapeake Bay P. St-Laurent et al. 10.5194/bg-17-3779-2020
- A Machine‐Learning‐Based Model for Water Quality in Coastal Waters, Taking Dissolved Oxygen and Hypoxia in Chesapeake Bay as an Example X. Yu et al. 10.1029/2020WR027227
- The impact of extreme precipitation on physical and biogeochemical processes regarding with nutrient dynamics in a semi-closed bay R. Xiao et al. 10.1016/j.scitotenv.2023.167599
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- A three-dimensional mixotrophic model of Karlodinium veneficum blooms for a eutrophic estuary M. Li et al. 10.1016/j.hal.2022.102203
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- A Diel Method of Estimating Gross Primary Production: 2. Application to 7 Years of Near‐Surface Dissolved Oxygen Data in Chesapeake Bay M. Scully 10.1029/2018JC014179
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- Impacts of Atmospheric Nitrogen Deposition and Coastal Nitrogen Fluxes on Oxygen Concentrations in Chesapeake Bay F. Da et al. 10.1029/2018JC014009
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- Climate-induced interannual variability and projected change of two harmful algal bloom taxa in Chesapeake Bay, USA M. Li et al. 10.1016/j.scitotenv.2020.140947
- Biogeochemical Controls on Coastal Hypoxia K. Fennel & J. Testa 10.1146/annurev-marine-010318-095138
- Evaluating Confidence in the Impact of Regulatory Nutrient Reduction on Chesapeake Bay Water Quality I. Irby & M. Friedrichs 10.1007/s12237-018-0440-5
- Effects of Wind Straining on Estuarine Stratification: A Combined Observational and Modeling Study X. Xie & M. Li 10.1002/2017JC013470
- A hydrodynamic model–based approach to assess sampling approaches for dissolved oxygen criteria in the Chesapeake Bay D. Liang et al. 10.1007/s10661-022-10725-1
- The contribution of physical processes to inter‐annual variations of hypoxia in Chesapeake Bay: A 30‐yr modeling study M. Scully 10.1002/lno.10372
- A 3D, cross-scale, baroclinic model with implicit vertical transport for the Upper Chesapeake Bay and its tributaries F. Ye et al. 10.1016/j.ocemod.2016.10.004
- Seasonal Variability of the CO2 System in a Large Coastal Plain Estuary J. Friedman et al. 10.1029/2019JC015609
- Seabed Resuspension in the Chesapeake Bay: Implications for Biogeochemical Cycling and Hypoxia J. Moriarty et al. 10.1007/s12237-020-00763-8
68 citations as recorded by crossref.
- Application of an Unstructured Grid-Based Water Quality Model to Chesapeake Bay and Its Adjacent Coastal Ocean M. Xia & L. Jiang 10.3390/jmse4030052
- Ecological Forecasting and the Science of Hypoxia in Chesapeake Bay J. Testa et al. 10.1093/biosci/bix048
- Impact of Seabed Resuspension on Oxygen and Nitrogen Dynamics in the Northern Gulf of Mexico: A Numerical Modeling Study J. Moriarty et al. 10.1029/2018JC013950
- Pathogenic bacteria significantly increased under oxygen depletion in coastal waters: A continuous observation in the central Bohai Sea Y. Guo et al. 10.3389/fmicb.2022.1035904
- Spatiotemporal-aware machine learning approaches for dissolved oxygen prediction in coastal waters W. Liang et al. 10.1016/j.scitotenv.2023.167138
- Advancing estuarine ecological forecasts: seasonal hypoxia in Chesapeake Bay D. Scavia et al. 10.1002/eap.2384
- Salish Sea Response to Global Climate Change, Sea Level Rise, and Future Nutrient Loads T. Khangaonkar et al. 10.1029/2018JC014670
- The Extent of Seasonally Suitable Habitats May Limit Forage Fish Production in a Temperate Estuary M. Fabrizio et al. 10.3389/fmars.2021.706666
- Potential Salinity and Temperature Futures for the Chesapeake Bay Using a Statistical Downscaling Spatial Disaggregation Framework B. Muhling et al. 10.1007/s12237-017-0280-8
- The impacts of warming and hypoxia on the performance of an obligate ram ventilator D. Crear et al. 10.1093/conphys/coz026
- Nitrogen reductions have decreased hypoxia in the Chesapeake Bay: Evidence from empirical and numerical modeling L. Frankel et al. 10.1016/j.scitotenv.2021.152722
- The competing impacts of climate change and nutrient reductions on dissolved oxygen in Chesapeake Bay I. Irby et al. 10.5194/bg-15-2649-2018
- Relative impacts of global changes and regional watershed changes on the inorganic carbon balance of the Chesapeake Bay P. St-Laurent et al. 10.5194/bg-17-3779-2020
- A Machine‐Learning‐Based Model for Water Quality in Coastal Waters, Taking Dissolved Oxygen and Hypoxia in Chesapeake Bay as an Example X. Yu et al. 10.1029/2020WR027227
- The impact of extreme precipitation on physical and biogeochemical processes regarding with nutrient dynamics in a semi-closed bay R. Xiao et al. 10.1016/j.scitotenv.2023.167599
- Factors Controlling Hypoxia Occurrence in Estuaries, Chester River, Chesapeake Bay R. Tian 10.3390/w12071961
- Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data Q. Zhang et al. 10.1016/j.scitotenv.2018.05.025
- A three-dimensional mixotrophic model of Karlodinium veneficum blooms for a eutrophic estuary M. Li et al. 10.1016/j.hal.2022.102203
- Modeling the Origin of the Particulate Organic Matter Flux to the Hypoxic Zone of Chesapeake Bay in Early Summer J. Wang & R. Hood 10.1007/s12237-020-00806-0
- Modeling Impacts of Nutrient Loading, Warming, and Boundary Exchanges on Hypoxia and Metabolism in a Shallow Estuarine Ecosystem J. Testa et al. 10.1111/1752-1688.12912
- Reconstructing primary production in a changing estuary: A mass balance modeling approach J. Kim et al. 10.1002/lno.11771
- What drove the nonlinear hypoxia response to nutrient loading in Chesapeake Bay during the 20th century? W. Ni & M. Li 10.1016/j.scitotenv.2022.160650
- Ocean Circulation Causes Strong Variability in the Mid‐Atlantic Bight Nitrogen Budget M. Friedrichs et al. 10.1029/2018JC014424
- Chlorophyll-a in Chesapeake Bay based on VIIRS satellite data: Spatiotemporal variability and prediction with machine learning X. Yu et al. 10.1016/j.ocemod.2022.102119
- Impacts and uncertainties of climate-induced changes in watershed inputs on estuarine hypoxia K. Hinson et al. 10.5194/bg-20-1937-2023
- Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. Kaufman et al. 10.5194/bg-15-73-2018
- Transport and Fate of Particulate Organic Nitrogen in Chesapeake Bay: a Numerical Study H. Wang & R. Hood 10.1007/s12237-022-01049-x
- Large Projected Decline in Dissolved Oxygen in a Eutrophic Estuary Due to Climate Change W. Ni et al. 10.1029/2019JC015274
- A 3D unstructured-grid model for Chesapeake Bay: Importance of bathymetry F. Ye et al. 10.1016/j.ocemod.2018.05.002
- Divergent responses of nitrogen-species loadings to future climate change in the Chesapeake Bay watershed Z. Bian et al. 10.1016/j.ejrh.2024.102060
- From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale? W. Zhi et al. 10.1021/acs.est.0c06783
- Likely locations of sea turtle stranding mortality using experimentally-calibrated, time and space-specific drift models B. Santos et al. 10.1016/j.biocon.2018.06.029
- High‐Frequency CO2 System Variability Over the Winter‐to‐Spring Transition in a Coastal Plain Estuary E. Shadwick et al. 10.1029/2019JC015246
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- Real-time environmental forecasts of the Chesapeake Bay: Model setup, improvements, and online visualization A. Bever et al. 10.1016/j.envsoft.2021.105036
- Analysis of dissolved oxygen influencing factors and concentration prediction using input variable selection technique: A hybrid machine learning approach W. Liu et al. 10.1016/j.jenvman.2024.120777
- Estimating Hypoxic Volume in the Chesapeake Bay Using Two Continuously Sampled Oxygen Profiles A. Bever et al. 10.1029/2018JC014129
- High-frequency data significantly enhances the prediction ability of point and interval estimation X. Liu et al. 10.1016/j.scitotenv.2023.169289
- Dermal mycobacteriosis and warming sea surface temperatures are associated with elevated mortality of striped bass in Chesapeake Bay M. Groner et al. 10.1002/ece3.4462
- A water quality prediction approach for the Downstream and Delta of Dongjiang River Basin under the joint effects of water intakes, pollution sources, and climate change Y. Huang et al. 10.1016/j.jhydrol.2024.131686
- IMPROVEMENT ASSESSMENT OF PRIMARY PRODUCTION MODELLING USING FOUR DIMENSIONAL VARIATIONAL DATA ASSIMILATION T. NAGANO & M. IRIE 10.2208/jscejj.24-17230
- The Evolution and Outcomes of a Collaborative Testbed for Predicting Coastal Threats C. Nichols & L. Wright 10.3390/jmse8080612
- Effects of stratification, organic matter remineralization and bathymetry on summertime oxygen distribution in the Bohai Sea, China H. Zhao et al. 10.1016/j.csr.2016.12.004
- Planktonic eukaryotes in the Chesapeake Bay: contrasting responses of abundant and rare taxa to estuarine gradients H. Wang et al. 10.1128/spectrum.04048-23
- Tidal Variation in Cohesive Sediment Distribution and Sensitivity to Flocculation and Bed Consolidation in An Idealized, Partially Mixed Estuary D. Tarpley et al. 10.3390/jmse7100334
- A Metamodel-Based Analysis of the Sensitivity and Uncertainty of the Response of Chesapeake Bay Salinity and Circulation to Projected Climate Change A. Ross et al. 10.1007/s12237-020-00761-w
- A data-driven approach to simulate the spatiotemporal variations of chlorophyll-a in Chesapeake Bay X. Yu & J. Shen 10.1016/j.ocemod.2020.101748
- Modeling investigation of the nutrient and phytoplankton variability in the Chesapeake Bay outflow plume L. Jiang & M. Xia 10.1016/j.pocean.2018.03.004
- Understanding the Variation of Bacteria in Response to Summertime Oxygen Depletion in Water Column of Bohai Sea J. Wang et al. 10.3389/fmicb.2022.890973
- Ocean biogeochemical modelling K. Fennel et al. 10.1038/s43586-022-00154-2
- A Diel Method of Estimating Gross Primary Production: 2. Application to 7 Years of Near‐Surface Dissolved Oxygen Data in Chesapeake Bay M. Scully 10.1029/2018JC014179
- A Diel Method of Estimating Gross Primary Production: 1. Validation With a Realistic Numerical Model of Chesapeake Bay M. Scully 10.1029/2018JC014178
- The Chesapeake Bay program modeling system: Overview and recommendations for future development R. Hood et al. 10.1016/j.ecolmodel.2021.109635
- Impacts of Atmospheric Nitrogen Deposition and Coastal Nitrogen Fluxes on Oxygen Concentrations in Chesapeake Bay F. Da et al. 10.1029/2018JC014009
- A Modeling Study of the Impacts of Mississippi River Diversion and Sea-Level Rise on Water Quality of a Deltaic Estuary H. Wang et al. 10.1007/s12237-016-0197-7
- An assessment of the predictability of column minimum dissolved oxygen concentrations in Chesapeake Bay using a machine learning model A. Ross & C. Stock 10.1016/j.ecss.2019.03.007
- Sensitivity of a shark nursery habitat to a changing climate D. Crear et al. 10.3354/meps13483
- On the Sensitivity of Coastal Hypoxia to Its External Physical Forcings P. St‐Laurent & M. Friedrichs 10.1029/2023MS003845
- Water exchange and its relationships with external forcings and residence time in Chesapeake Bay J. Xiong et al. 10.1016/j.jmarsys.2020.103497
- Controls on Carbonate System Dynamics in a Coastal Plain Estuary: A Modeling Study C. Shen et al. 10.1029/2018JG004802
- How Well Does the Mechanistic Water Quality Model CE‐QUAL‐W2 Represent Biogeochemical Responses to Climatic and Hydrologic Forcing? C. Zhang et al. 10.1029/2018WR022580
- Climate-induced interannual variability and projected change of two harmful algal bloom taxa in Chesapeake Bay, USA M. Li et al. 10.1016/j.scitotenv.2020.140947
- Biogeochemical Controls on Coastal Hypoxia K. Fennel & J. Testa 10.1146/annurev-marine-010318-095138
- Evaluating Confidence in the Impact of Regulatory Nutrient Reduction on Chesapeake Bay Water Quality I. Irby & M. Friedrichs 10.1007/s12237-018-0440-5
- Effects of Wind Straining on Estuarine Stratification: A Combined Observational and Modeling Study X. Xie & M. Li 10.1002/2017JC013470
- A hydrodynamic model–based approach to assess sampling approaches for dissolved oxygen criteria in the Chesapeake Bay D. Liang et al. 10.1007/s10661-022-10725-1
- The contribution of physical processes to inter‐annual variations of hypoxia in Chesapeake Bay: A 30‐yr modeling study M. Scully 10.1002/lno.10372
- A 3D, cross-scale, baroclinic model with implicit vertical transport for the Upper Chesapeake Bay and its tributaries F. Ye et al. 10.1016/j.ocemod.2016.10.004
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Latest update: 14 Dec 2024
Short summary
A comparison of eight hydrodynamic-oxygen models revealed that while models have difficulty resolving key drivers of dissolved oxygen (DO) variability, all models exhibit skill in reproducing the variability of DO itself. Further, simple oxygen models and complex biogeochemical models reproduced observed DO variability similarly well. Future advances in hypoxia simulations will depend more on the ability to reproduce the depth of the mixed layer than the degree of the vertical density gradient.
A comparison of eight hydrodynamic-oxygen models revealed that while models have difficulty...
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