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

Journal Article · · Journal of Atmospheric and Oceanic Technology
 [1];  [2];  [3];  [4];  [2]
  1. School of Civil and Construction Engineering, Oregon State University, Corvallis, Oregon; OSTI
  2. School of Civil and Construction Engineering, Oregon State University, Corvallis, Oregon
  3. SRI International, Ann Arbor, Michigan
  4. Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, California
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Abstract

This work describes a phase-resolving wave-forecasting algorithm that is based on the assimilation of marine radar image time series. The algorithm is tested against synthetic data and field observations. The algorithm couples X-band marine radar observations with a phase-resolving wave model that uses the linear mild slope equations for reconstruction of water surface elevations over a large domain ofO(km) and a prescribed time window ofO(min). The reconstruction also enables wave-by-wave forecasting through forward propagation in space and time. Marine radar image time series provide the input wave observations through a previously given relationship between backscatter intensity and the radial component of the sea surface slope. The algorithm assimilates the wave slope information into the model via a best-fit wave source function at the boundary that minimizes the slope reconstruction error over an annular region at the outer ranges of the radar images. The wave model is then able to propagate the waves across a polar domain to a location of interest at nearer ranges. The constraints on the method for achieving real-time forecasting are identified, and the algorithm is verified against synthetic data and tested using field observations.

Research Organization:
Oregon State Univ., Corvallis, OR (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
EE0006789;
OSTI ID:
1799249
Journal Information:
Journal of Atmospheric and Oceanic Technology, Journal Name: Journal of Atmospheric and Oceanic Technology Journal Issue: 7 Vol. 37; ISSN 0739-0572
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English

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