Data assimilation of partitioned HF radar wave data into Wavewatch III |
| |
| Institution: | 1. School of mathematics and statistics, The University of Sheffield, Sheffield S10 2TN, UK;2. National Oceanography Centre, Joseph Proudman Building, 6 Brownlow Street, Liverpool L3 5DA, UK;3. The Met Office, Fitzroy Road, Exeter EX1 3PB, UK;4. ACORN, school of earth and environmental sciences, James Cook University, Townsville, QLD 4811, Australia;1. Ocean Engineering Division, CSIR-National Institute of Oceanography (Council of Scientific & Industrial Research), Dona Paula 403004, Goa, India;2. Information Services and Ocean Sciences Group, Indian National Centre for Ocean Information Services, Ministry of Earth Sciences, Hyderabad, India;3. Post Graduate Department of Marine Biology, Karnatak University, Karwar, India;1. Department of Marine and Coastal Sciences, 71 Dudley Road, Rutgers University, New Brunswick, NJ 08901, USA;2. Department of Ocean Sciences, 1156 High Street, University of California, Santa Cruz, CA 95062, USA |
| |
| Abstract: | In this study the assimilation of HF radar data into a high resolution, coastal Wavewatch III model is investigated. An optimal interpolation scheme is used to assimilate the data and the design of a background error covariance matrix which reflects the local conditions and difficulties associated with a coastal domain is discussed. Two assimilation schemes are trialled; a scheme which assimilates mean parameters from the HF radar data and a scheme which assimilates partitioned spectral HF radar data. This study demonstrates the feasibility of assimilating partitioned wave data into a coastal domain. The results show that the assimilation schemes provide satisfactory improvements to significant wave heights but more mixed results for mean periods. The best improvements are seen during a stormy period with turning winds. During this period the model is deficient at capturing the change in wave directions and the peak in the waveheights, while the high sea state ensures good quality HF radar data for assimilation. The study also suggests that there are both physical and practical advantages to assimilating partitioned wave data compared to assimilating mean parameters for the whole spectrum. |
| |
| Keywords: | Data assimilation High frequency radar Wave spectrum Wave modelling |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
