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Year:: 2020
Contributor:: Sane, Aakash (Author); Fox-Kemper, Baylor (Author); Ullman, Dave (Author); Kincaid, Christopher (Author); Rothstein, Lewis (Author)
Subject:: Narragansett Bay; Ocean State Ocean Model (OSOM); Regional Ocean Modeling System; Coastal marine forecast systems
DOI: https://doi.org/10.26300/crbx-9784

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Abstract:: Data and code underlying the figures in Sane et al. 2020 “Consistent Predictability of the Ocean State Ocean Model (OSOM) using Information Theory and Flushing Timescales”
Notes:: The Rhode Island Coastal Ecology Assessment Innovation and Modeling grant NSF 1655221 supported this work. BFK was also supported by ONR N00014-17-1-2963 and NSF 1350795. This material is based upon work conducted at a Rhode Island NSF EPSCoR research facility Center for Computation and Visualization at Brown University, supported in part by the National Science Foundation EPSCoR Cooperative Agreement OIA-1655221. J. Benoit provided the LandSat analysis dataset and M. Brush contributed the drainage area dataset

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Use and Reproduction: This work is licensed under a Creative Commons Attribution 4.0 International License

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Sane, Aakash, Fox-Kemper, Baylor, Ullman, Dave, et al., "Data and code from “Consistent Predictability of the Ocean State Ocean Model (OSOM) using Information Theory and Flushing Timescales”" (2020). Brown University Open Data Collection. Brown Digital Repository. Brown University Library. https://doi.org/10.26300/crbx-9784

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Brown University Open Data Collection

This collection contains open and publicly-funded data sets created by Brown University faculty and student researchers. Increasingly, publishers, and funders are requiring that protocols, data sets, metadata, and code underlying published research be retained and preserved, their locations cited within …
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Data and code from “Consistent Predictability of the Ocean State Ocean Model (OSOM) using Information Theory and Flushing Timescales”