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Bibliography - Andrew C Ross

  1. Drenkard, Elizabeth J., Charles A Stock, Andrew C Ross, Keith W Dixon, Alistair Adcroft, Michael A Alexander, V Balaji, Steven J Bograd, Momme Butenschön, Wei Cheng, Enrique N Curchitser, Emanuele Di Lorenzo, Raphael Dussin, Alan C Haynie, Matthew J Harrison, Albert Hermann, Anne B Hollowed, Kirstin Holsman, Jason Holt, Michael G Jacox, Chan Joo Jang, Kelly A Kearney, Barbara A Muhling, Mercedes Pozo Buil, Vincent S Saba, Anne Britt Sandø, Desiree Tommasi, and Muyin Wang, June 2021: Next-generation regional ocean projections for living marine resource management in a changing climate. ICES Journal of Marine Science, fsab100, DOI:10.1093/icesjms/fsab100.
    Abstract
  2. Ross, Andrew C., R G Najjar, and Ming Li, January 2021: A Metamodel-Based Analysis of the Sensitivity and Uncertainty of the Response of Chesapeake Bay Salinity and Circulation to Projected Climate Change. Estuaries and Coasts, 44, DOI:10.1007/s12237-020-00761-w.
    Abstract
  3. Ross, Andrew C., Charles A Stock, Dennis Adams-Smith, Keith W Dixon, Kirsten L Findell, Vincent S Saba, and Bruce Vogt, January 2021: Anthropogenic Influences on Extreme Annual Streamflow into Chesapeake Bay from the Susquehanna River. Bulletin of the American Meteorological Society, 102(1), DOI:10.1175/BAMS-D-20-0129.1S25-S32.
  4. Ross, Andrew C., Charles A Stock, Keith W Dixon, Marjorie A M Friedrichs, Raleigh Hood, Ming Li, Kathleen Pegion, Vincent S Saba, and Gabriel A Vecchi, October 2020: Estuarine forecasts at daily weather to subseasonal time scales. Earth and Space Science, 7(10), DOI:10.1029/2020EA001179.
    Abstract
  5. Ni, Wenfei, Ming Li, Andrew C Ross, and R G Najjar, November 2019: Large Projected Decline in Dissolved Oxygen in a Eutrophic Estuary Due to Climate Change. Journal of Geophysical Research: Oceans, 124(11), DOI:10.1029/2019JC015274.
    Abstract
  6. Ross, Andrew C., and Charles A Stock, May 2019: An assessment of the predictability of column minimum dissolved oxygen concentrations in Chesapeake Bay using a machine learning model. Estuarine, Coastal and Shelf Science, 221, DOI:10.1016/j.ecss.2019.03.007.
    Abstract

Direct link to page: http://www.gfdl.noaa.gov/bibliography/results.php?author=7443