Combining observations and numerical model results to improve estimates of hypoxic volume within the Chesapeake Bay, USA
Lanerolle, Aaron J.
Friedrichs, Marjorie A. M.
Friedrichs, Carl T.
Scully, Malcolm E.
Lanerolle, Lyon W. J.
MetadataShow full item record
The overall size of the “dead zone” within the main stem of the Chesapeake Bay and its tidal tributaries is quantified by the hypoxic volume (HV), the volume of water with dissolved oxygen (DO) less than 2 mg/L. To improve estimates of HV, DO was subsampled from the output of 3-D model hindcasts at times/locations matching the set of 2004–2005 stations monitored by the Chesapeake Bay Program. The resulting station profiles were interpolated to produce bay-wide estimates of HV in a manner consistent with nonsynoptic, cruise-based estimates. Interpolations of the same stations sampled synoptically, as well as multiple other combinations of station profiles, were examined in order to quantify uncertainties associated with interpolating HV from observed profiles. The potential uncertainty in summer HV estimates resulting from profiles being collected over 2 weeks rather than synoptically averaged ∼5 km3. This is larger than that due to sampling at discrete stations and interpolating/extrapolating to the entire Chesapeake Bay (2.4 km3). As a result, sampling fewer, selected stations over a shorter time period is likely to reduce uncertainties associated with interpolating HV from observed profiles. A function was derived that when applied to a subset of 13 stations, significantly improved estimates of HV. Finally, multiple metrics for quantifying bay-wide hypoxia were examined, and cumulative hypoxic volume was determined to be particularly useful, as a result of its insensitivity to temporal errors and climate change. A final product of this analysis is a nearly three-decade time series of improved estimates of HV for Chesapeake Bay.
© The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Journal of Geophysical Research: Oceans 118 (2013): 4924–4944, doi:10.1002/jgrc.20331.
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported
Showing items related by title, author, creator and subject.
Challenges associated with modeling low-oxygen waters in Chesapeake Bay : a multiple model comparison Irby, Isaac D.; Friedrichs, Marjorie A. M.; Friedrichs, Carl T.; Bever, Aaron J.; Hood, Raleigh R.; Lanerolle, Lyon W. J.; Li, Ming; Linker, Lewis; Scully, Malcolm E.; Sellner, Kevin G.; Shen, Jian; Testa, Jeremy M.; Wang, Hao; Wang, Ping; Xia, Meng (Copernicus Publications on behalf of the European Geosciences Union, 2016-04-06)As three-dimensional (3-D) aquatic ecosystem models are used more frequently for operational water quality forecasts and ecological management decisions, it is important to understand the relative strengths and limitations ...
Luettich, Richard A.; Wright, L. Donelson; Signell, Richard P.; Friedrichs, Carl T.; Friedrichs, Marjorie A. M.; Harding, John; Fennel, Katja; Howlett, Eoin; Graves, Sara J.; Smith, Elizabeth; Crane, Gary; Baltes, Rebecca (John Wiley & Sons, 2013-12-11)Strong and strategic collaborations among experts from academia, federal operational centers, and industry have been forged to create a U.S. IOOS Coastal and Ocean Modeling Testbed (COMT). The COMT mission is to accelerate ...
Studies of the waters on the continental shelf, Cape Cod to Chesapeake Bay. I. The cycle of temperature Bigelow, Henry Bryant (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1933-12)When the U. S. Bureau of Fisheries, in cooperation with the Museum of Comparative Zoology, commenced the oceanographic survey of the Gulf of Maine in the summer of 1912 (Bigelow, 1925-1927), it was in the hope that this ...