VIMS

Observing & Modeling

VIMS scientists combine computer models with real-time data from tethered and mobile sensors to understand and predict storm-surge flooding, waves and currents, and the transport of sediment and pollutants. Ecosystem models simulate the flow of energy through food webs.

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Advisory Service Reports
  1. Spaulding, M. L., and H. L. Butler. 2000. Estuarine and coastal modeling : proceedings of the 6th international conference, November 3-5, 1999, New Orleans, Louisiana. American Society of Civil Engineers, Reston, VA.
  2. Wright, L. D., Virginia Institute of Marine Science, and Virginia. Dept. of Conservation and Historic Resources. 1987. Shoreface and beach dynamics of the coastal region from Cape Henry to False Cape,Virginia. Virginia Institute of Marine Science, School of Marine Science, College of William and Mary, Gloucester Point.
  3. Chen, H. S., A. Y. Kuo, and C. S. Fang. 1977. Hydrography and hydrodynamics of Virginia estuaries : XIV. mathematical model studies of water quality of the Chickahominy Estuary. VIMS, 141, Gloucester Point, VA.
  4. Boesch, D. F., and Corvallis Environmental Research Laboratory. 1977. Application of numerical classification in ecological investigations of water pollution. Environmental Protection Agency, Office of Research and Development
  5. Goldsmith, V., D. E. Morris, R. H. Byrne, and C. H. Whitlock. 1974. Wave Climate Model of the Mid-Atlantic Shelf and shoreline (Virginian Sea) : model development, shelf geomorphology, and preliminary results. Scientific and Technical Information Office, National Aeronautics and Space Administration, Gloucester Point VA.
  6. Fang, C. S., A. Y. Kuo, P. V. Hyer, and W. J. Hargis. 1973. Hydrography and hydrodynamics of Virginia estuaries : IV. mathematical model studies of water quality in the James estuary. Virginia Institute of Marine Science, 41, Gloucester Point, VA.
Five Most Recent Journal Articles
  1. Zhang, Y.J., et al., 2015. A new vertical coordinate system for a 3D unstructured-grid model. Ocean Modelling, 85: p. 16-31. http://doi.org/10.1016/j.ocemod.2014.10.003
  2. Zhang, X.Z., et al., 2015. Modeling larval connectivity of the Atlantic surfclams within the Middle Atlantic Bight: Model development, larval dispersal and metapopulation connectivity. Estuarine Coastal and Shelf Science, 153: p. 38-53. http://doi.org/10.1016/j.ecss.2014.11.033
  3. Shen, X.T. and J.P.Y. Maa, 2015. Modeling floc size distribution of suspended cohesive sediments using quadrature method of moments. Marine Geology, 359: p. 106-119. http://doi.org/10.1016/j.margeo.2014.11.014
  4. Xiao, Y.J. and M.A.M. Friedrichs, 2014. The assimilation of satellite-derived data into a one-dimensional lower trophic level marine ecosystem model. Journal of Geophysical Research-Oceans, 119(4): p. 2691-2712. http://doi.org/10.1002/2013jc009433
  5. Xiao, Y. and M.A.M. Friedrichs, 2014. 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. Biogeosciences, 11(11): p. 3015-3030. http://doi.org/10.5194/bg-11-3015-2014

Read a full list of VIMS-authored journal articles related to observing and modeling.