We demonstrate and verify, by the use of both synthetic and real wave data, a newly developed capability of short-time phase-resolved wave prediction based on incoherent X-band marine radar measurements. An inversion algorithm is developed to convert X-band radar sea surface measurements into the phase-resolved wave field and the associated wave spectrum based on the linear gravity wave theory. The wave components obtained from the reconstruction are then used to initialize the wave propagation model that is used to provide a short-time deterministic forecast of wave field evolution downstream. Both wave spectrum and spatial-temporal wave elevation evolution obtained based on the X-band measurements are compared with the independent point wave measurements by Miros RangeFinder. The agreements between them are reasonably well, which has a significant implication on practical applications of short-time deterministic wave prediction in optimal marine operations.
EdgarDRHorwoodJMKThurleyR, et al. The effects of parameters on the maximum prediction time possible in short term forecasting of the sea surface shape. Int Shipbuild Prog2000; 47(451): 287–301.
2.
SimanesewA.Deterministic prediction of sea waves-long crested sea. Master Thesis, University of Oslo, Norway, 2013.
3.
YoungIRRosenthalWZiemerF.A three-dimensional analysis of marine radar images for determination of ocean wave directionality and surface currents. J Geophys Res Atmos1985; 90: 1049–1068.
4.
Nieto-BorgeJCRodriguezGHessnerK, et al. Inversion of marine radar images for surface wave analysis. J Atmos Oceanic Technol2004; 21(8): 1291–1300.
5.
Blondel-CouprieENaaijenP.Reconstruction and prediction of short-crested seas based on the application of a 3d-fft on synthetic waves. Part 2: prediction. In: ASME 2012 31th international conference on ocean, offshore and arctic engineering (OMAE2012), Rio de Janeiro, Brazil, 1–6 July 2012, paper no. OMAE2012-83096, pp.55–70. New York: ASME.
6.
NaaijenPBlondel-CouprieE.Reconstruction and prediction of short-crested seas based on the application of a 3d-fft on synthetic waves. Part 1: reconstruction. In: ASME 2012 31th international conference on ocean, offshore and arctic engineering (OMAE2012), Rio de Janeiro, Brazil, 1–6 July 2012, paper no. OMAE2012-83093, pp.43–53. New York: ASME.
7.
QiYXiaoWYueDKP. Phase-resolved wave field simulation calibration of sea surface reconstruction using noncoherent marine radar. J Atmos Oceanic Technol2016; 33(6): 1135–1149.
8.
ConnellBSHRudzinskyJPBrundickCS, et al. Development of an environmental and ship motion forecasting system. In: ASME 2015 34th international conference on ocean, offshore and arctic engineering, St. John’s, Newfoundland, Canada, 31 —5 June 2015, paper no. OMAE2015-42422, New York: ASME.
9.
YangYJKwonSH.Prediction for irregular ocean wave and floating body motion by regularization: Part 1. Irregular wave prediction. Trans. FAMENA2016; 40(4): 41–54.
10.
SimanesewATrulsenKKrogstadHE, et al. Surface wave predictions in weakly nonlinear directional seas. Appl Ocean Res2017; 65: 79–89.
11.
QiYWuGLiuY, et al. Predictable zone for phase-resolved reconstruction and forecast of irregular waves. Wave Motion2018; 77: 195–213.
12.
NaaijenPTrulsenKBlondel-CouprieE.Limits to the extent of the spatio-temporal domain for deterministic wave prediction. Int Shipbuild Prog2014; 61(3–4): 203–223.
13.
ZinchenkoVVasilyevLHalstensenSO, et al. An improved algorithm for phase-resolved sea surface reconstruction from X-band marine radar images. Manuscript submitted for publication, 2020.
14.
Nieto-BorgeJC.Significant wave height estimation from nautical radar data sets. GKSS Research Center Geesthacht. Report no. 98/E/28, 1998.
15.
Nieto-BorgeJCHessnerKJarabo-AmoresP, et al. Signal-to-noise ratio analysis to estimate ocean wave heights from X-band marine radar image time series. IET Radar Sonar Navig2008; 2: 35–41.
16.
LundBCollinsCOGraberHC, et al. Marine radar ocean wave retrieval’s dependency on range and azimuth. Ocean Dynam2014; 64: 999–1018.
17.
Støle-HentschelSSeemannJNieto-BorgeJC, et al. Consistency between sea surface reconstructions from nautical X-band radar Doppler and amplitude measurements. J Atmos Ocean Tech2018; 35: 1201–1220.
18.
MorrisELZienkiewiczHKBelmontMR.Short term forecasting of the sea surface shape. Int Shipbuild Prog1998; 45(444): 383–400.
19.
WuG.Direct Simulation and deterministic prediction of large-scale nonlinear ocean wave-field. PhD Thesis, Massachusetts Institute of Technology, USA, 2004.
QiYWuGLiuY, et al. Nonlinear phase-resolved reconstruction of irregular water waves. J Fluid Mech2018; 838: 544–572.
22.
NaaijenPVan DijkRRTHuijsmansRHM, et al. Real time estimation of ship motions in short crested seas. In: ASME 2009 28th international conference on ocean, offshore and arctic engineering (OMAE2009), Honolulu, Hawaii, USA, 31 May–5 June 2009, paper no. OMAE2009-79366, pp.243–255. New York: ASME.
23.
SimanesewAKrogstadHETrulsenK, et al. Development of frequency-dependent ocean wave directional distributions. Appl Ocean Res2016; 59: 304–312.
24.
SimanesewAKrogstadHETrulsenK, et al. Bimodality of directional distributions in ocean wave spectra: a comparison of data-adaptive estimation techniques. J Atmos Oceanic Technol2018; 35: 365–384.
