Articles | Volume 13, issue 7
Biogeosciences, 13, 2011–2028, 2016
https://doi.org/10.5194/bg-13-2011-2016
Biogeosciences, 13, 2011–2028, 2016
https://doi.org/10.5194/bg-13-2011-2016
Research article
06 Apr 2016
Research article | 06 Apr 2016

Challenges associated with modeling low-oxygen waters in Chesapeake Bay: a multiple model comparison

Isaac D. Irby et al.

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Cited articles

Bagniewski, W., Fennel, K., Perry, M. J., and D'Asaro, E. A.: Optimizing models of the North Atlantic spring bloom using physical, chemical and bio-optical observations from a Lagrangian float, Biogeosciences, 8, 1291–1307, https://doi.org/10.5194/bg-8-1291-2011, 2011.
Bever, A. J., Friedrichs, M. A. M., Friedrichs, C. T., Scully, M. E., and Lanerolle, L. W.: Combining observations and numerical model results to improve estimates of hypoxic volume within the Chesapeake Bay, USA, J. Geophys. Res.-Oceans, 118, 4924–4944, https://doi.org/10.1002/jgrc.20331, 2013.
Boesch, D. F., Brinsfield, R. B., and Magnien, R. E.: Chesapeake Bay Eutrophication: scientific understanding, ecosystem restoration, and challenges for agriculture, J. Environ. Qual., 30, 303–320, 2001.
Breitburg, D.: Effects of hypoxia, and the balance between hypoxia and enrichment, on coastal fishes and fisheries, Estuaries, 25, 767–781, 2002.
Breitburg, D. L., Loher, T., Pacey, C. A., and Gerstein, A.: Varying effects of low dissolved oxygen on trophic interactions in an estuarine food web, Ecol. Monogr., 67, 489–507, 1997.
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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.
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