Data assimilation within the Advanced Circulation (ADCIRC) modeling framework for the estimation of Manning’s friction coefficient.

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Bibliographic Details
Title: Data assimilation within the Advanced Circulation (ADCIRC) modeling framework for the estimation of Manning’s friction coefficient.
Authors: Mayo, Talea1 talea@ices.utexas.edu, Butler, Troy2 troy.butler@ucdenver.edu, Dawson, Clint1 clint@ices.utexas.edu, Hoteit, Ibrahim3 ibrahim.hoteit@kaust.edu.sa
Source: Ocean Modelling. Apr2014, Vol. 76, p43-58. 16p.
Subjects: Ocean circulation, Mathematical models of oceanography, Parameter estimation, Coefficients (Statistics), Coasts, Square root, Kalman filtering
Abstract: Highlights: [•] We estimate the Manning’s n friction coefficient in a coastal ocean model. [•] We use a square root ensemble Kalman filter for the parameter estimation. [•] Accurate estimation is dependent on the sensitivity of model output to the parameter. [•] We are able to recover a 1-D and 2-D field of Manning’s n values in most test cases. [Copyright &y& Elsevier]
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Database: Engineering Source
Description
Abstract:Highlights: [•] We estimate the Manning’s n friction coefficient in a coastal ocean model. [•] We use a square root ensemble Kalman filter for the parameter estimation. [•] Accurate estimation is dependent on the sensitivity of model output to the parameter. [•] We are able to recover a 1-D and 2-D field of Manning’s n values in most test cases. [Copyright &y& Elsevier]
ISSN:14635003
DOI:10.1016/j.ocemod.2014.01.001