Wave-by-Wave Forecasting via Assimilation of Marine Radar Data Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/4t64gr89b

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  • A wave-by-wave forecasting system is desired for optimization of wave energy conversion devices and for improving safety of vessel-based marine operations. This study outlines the first validation attempts of a recently developed forecasting system called Wavecast. The forecasting approach uses X-Band marine radar images for data assimilation, then reconstructs and propagates the ocean wave field in both space and time using the Mild Slope Equation wave model. For data assimilation, the radial component of the sea surface slope is computed from the radar imagery using the recently-derived Radar Model (Lyzenga & Walker, 2015). The Radar Model is a direct relationship between radar backscatter intensity and radial slope, without the need for external calibration. Validation attempts of the forecasting system are carried out in two phases. First, synthetic data is used. Two trials are presented: a simple monochromatic dataset, and a nonlinear simulation of a realistic sea. Results of monochromatic testing show strong spectral correlation, and time series correlation of up to 0.9 throughout the full domain. Results of nonlinear testing show up to 83% spectral correlation of significant wave height, time series correlation up to 0.9 among reconstructed waves, but some decay in correlation among predicted waves. Next a field dataset is presented, which was collected by a ship-mounted radar offshore Newport, OR with spatial and temporal overlap to a TRIAXYS wave profiling buoy. The field dataset provides several challenges. Noise in the electronic compass readings prevented rectification of the ship’s motion; however, this was overcome using a novel post-processing technique on the radar images to georeference each scan without the need for electronic compass readings. Additionally, uncertainty exists in the location of the TRIAXYS buoy; thus, a cross-correlation analysis was performed on a small region surrounding the buoy’s anticipated location to determine the location of maximum correlation between actual and model time series. Despite complexities in the field dataset, assimilation of the field data in Wavecast shows good spectral reconstruction, with issues remaining in time series correlation. The presented validation attempts provide improved understanding of the accuracy and potential of Wavecast, and give support for the validity of the Radar Model.
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  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2016-10-12T22:20:16Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) SimpsonAlexandraJ2016.pdf: 7036391 bytes, checksum: 855c320405a39e959d91019476091340 (MD5)
  • description.provenance : Submitted by Alexandra Simpson (simpsale@oregonstate.edu) on 2016-10-07T00:39:16Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) SimpsonAlexandraJ2016.pdf: 7036391 bytes, checksum: 855c320405a39e959d91019476091340 (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2016-10-11T17:06:46Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) SimpsonAlexandraJ2016.pdf: 7036391 bytes, checksum: 855c320405a39e959d91019476091340 (MD5)
  • description.provenance : Submitted by Alexandra Simpson (simpsale@oregonstate.edu) on 2016-09-19T00:08:33Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) SimpsonAlexandraJ2016.pdf: 7036391 bytes, checksum: 855c320405a39e959d91019476091340 (MD5)
  • description.provenance : Made available in DSpace on 2016-10-12T22:20:16Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) SimpsonAlexandraJ2016.pdf: 7036391 bytes, checksum: 855c320405a39e959d91019476091340 (MD5) Previous issue date: 2016-09-01
  • description.provenance : Rejected by Julie Kurtz(julie.kurtz@oregonstate.edu), reason: Hi Alexandra, I checked over your thesis and everything looks good. I am rejecting because in the submission process the abstract was not added. On page one, you will copy and paste the abstract from your PDF file. Once done, go to the upload page and submit again with the same file that's attached. Best, Julie on 2016-09-22T21:17:27Z (GMT)

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