Modeling Workgroup Publications
Impacts of sea level rise on hypoxia in the Chesapeake Bay: A model intercomparison
Published on October 1, 2019St-Laurent, P., M.A.M. Friedrichs, M. Li and W. Ni, 2019. Impacts of sea level rise on hypoxia in the Chesapeake Bay: A model intercomparison. Report to the Chesapeake Bay Program, Annapolis, MD, 34 pp.
View detailsFactors controlling saltwater intrusion across multi-time scales in estuaries, Chester River, and Chesapeake Bay
Published on April 26, 2019Tian, R. Factors controlling saltwater intrusion across multi-time scales in estuaries, Chester River, Chesapeake Bay. Estuarine, Coastal and Shelf Science. Volume 223, 2019, Pages 61-73, https://doi.org/10.1016/j.ecss....
View detailsChesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data
Published on October 1, 2018Link to the document.
Citation: Zhang, Q., R.R. Murphy, R. Tian, M.K. Forsyth, E.M. Trentacoste, J. Keisman, and P.J. Tango, 2018. “Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data”, Science of the Total Environment, 637-638: 1617-1625, doi: 10.1016/j.scitotenv.2018.05.025.
View detailsUnderstanding Chesapeake Bay Modeling Tools
Published in ReportThe Chesapeake Bay Program uses state-of-the art science and monitoring data to replicate conditions of the Chesapeake Bay watershed. This information is then used by decision-makers at the federal, state and local levels to determine how best to restore and protect local waterways, and ultimately, the Chesapeake Bay. By combining advanced modeling tools and real-world monitoring data, we gain a comprehensive view of the Chesapeake ecosystem—from the depths of the Bay to the upper reaches of the watershed.
View detailsAssessing Water Quality of the Chesapeake Bay by the Impact of Sea Level Rise and Warming
Published on February 6, 2017P. Wang, L. Linker, H. Wang, G. Bhatt, G. Yactayo, K. Hinson and R. Tian, "Assessing water quality of the Chesapeake Bay by the impact of sea level rise and warming." 2017 IOP Conf. Ser.: Earth Environ. Sci. 82 012001 https://doi.org/10.1088/1755-1315/82/1/012001.
View detailsInfluence of Wind Strength and Duration on Relative Hypoxia Reductions, Wang P et al 2016
Published on September 19, 2016Wang P, Wang H, Linker L, Hinson K. Influence of Wind Strength and Duration on Relative Hypoxia Reductions by Opposite Wind Directions in an Estuary with an Asymmetric Channel. Journal of Marine Science and Engineering. 2016; 4(3):62. https://doi.org/10.3390/jmse4030062
View detailsGeographically Isolated Loading Scenarios to Analyze N and P Exchanges and Explore Nutrient Controls
Wang, P., Linker, L.C. & Shenk, G.W. Using Geographically Isolated Loading Scenarios to Analyze Nitrogen and Phosphorus Exchanges and Explore Tailored Nutrient Control Strategies for Efficient Management. Environ Model Assess 21, 437–454 (2016). https://doi.org/10.1007/s10666-015-9487-x.
View detailsErratum to: Relative Importance of Nutrient Load and Wind on Regulating Interannual Summer Hypoxia
Published on September 5, 2014Wang, P., Wang, H. & Linker, L. Relative Importance of Nutrient Load and Wind on Regulating Interannual Summer Hypoxia in the Chesapeake Bay. Estuaries and Coasts 38, 1048–1061 (2015). https://doi.org/10.1007/s12237-014-9867-5
View detailsRelative Importance of Nutrient Load and Wind on Regulating Interannual Summer Hypoxia in the CB
Published on August 15, 2014Wang, P., Wang, H. & Linker, L. Relative Importance of Nutrient Load and Wind on Regulating Interannual Summer Hypoxia in the Chesapeake Bay. Estuaries and Coasts 38, 1048–1061 (2015). https://doi.org/10.1007/s12237-014-9867-5
View detailsInfluence of Reservoir Infill on Coastal Deep Water Hypoxia, 2016, Linker et al
Published on March 25, 2016Linker, L.C., Batiuk, R.A., Cerco, C.F., Shenk, G.W., Tian, R., Wang, P. and Yactayo, G. (2016), Influence of Reservoir Infill on Coastal Deep Water Hypoxia. J. Environ. Qual., 45: 887-893. https://doi.org/10.2134/jeq2014.11.0461
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