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Consistent Predictability of the Ocean State Ocean Model (OSOM) using Information Theory and Flushing Timescales
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  • Aakash Sane,
  • Baylor Fox-Kemper,
  • Dave Ullman,
  • Christopher Kincaid,
  • Lewis Rothstein
Aakash Sane
Brown University

Corresponding Author:[email protected]

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Baylor Fox-Kemper
Brown University
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Dave Ullman
University of Rhode Island
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Christopher Kincaid
University of Rhode Island
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Lewis Rothstein
University of Rhode Island
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Abstract

The Ocean State Ocean Model OSOM is an application of the Regional Ocean Modeling System spanning the Rhode Island waterways, including Narragansett Bay, Mt. Hope Bay, larger rivers, and the Block Island Shelf circulation from Long Island to Nantucket. This paper discusses the physical aspects of the estuary (Narragansett and Mount Hope Bays and larger rivers) to evaluate physical circulation predictability. This estimate is intended to help decide if a forecast and prediction system is warranted, to prepare for coupling with biogeochemistry and fisheries models with widely disparate timescales, and to find the spin-up time needed to establish the climatological circulation of the region. Perturbed initial condition ensemble simulations are combined with metrics from information theory to quantify the predictability of the OSOM forecast system–i.e., how long anomalies from different initial conditions persist. The predictability timescale in this model agrees with readily estimable timescales such as the freshwater flushing timescale evaluated using the total exchange flow (TEF) framework, indicating that the estuarine dynamics rather than chaotic transport is the dominant model behavior limiting predictions. The predictability of the OSOM is ~ 7 to 40 days, varying with parameters, region, and season.
Jul 2021Published in Journal of Geophysical Research: Oceans volume 126 issue 7. 10.1029/2020JC016875