REMOTE SENSING AND DATA ASSIMILATION FOR SURF ZONE BATHYMETRIC INVERSION
2012 ◽
Vol 1
(33)
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pp. 44
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Keyword(s):
We demonstrate the implementation and validation of a surf zone forecasting system, which uses remote sensing observations to control errors in surf zone bathymetry. This system uses ensemble-based sequential data assimilation techniques, which are adaptable to arbitrary geophysical observations, and/or arbitrary improvements to model physics. The system is validated using data from a 2010 field experiment at Duck, NC (U.S.A.), and is shown to produce accurate corrections to bathymetry, leading to improvements in prediction of currents.
2011 ◽
Vol 21
(12)
◽
pp. 3619-3626
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2009 ◽
Vol 33
(5)
◽
pp. 2165-2174
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Keyword(s):
Keyword(s):
2015 ◽
Vol 142
(21)
◽
pp. 214115
◽
2019 ◽
Vol 2019.32
(0)
◽
pp. 090
2012 ◽
Vol 468-469
◽
pp. 268-282
◽
2001 ◽
Vol 15
(1)
◽
pp. 65-86
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Keyword(s):