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Sine the drifter estimates m e mnstrdned to three hour intervals, a linear interpolation of the drifter estimate - reqvjred if the radar time did not mincide +th one of these intervals. To illustrate the dect d SNR on the comparison, the rdar data we- pmcesed using two SNR values of 10 and 30 dB.= The 10 dB case wss studied to determine if this minim- SNR esse was sofF,tient for radial current estimation. In mntrast to this, the 30 dB ease - maridered to determine if the data mmparison is Lnprowd by using a relatively high SNR criteria. Since all three driner datasets are^ used in this comparison, this yielded a total of six radial mmponent mmpackons. These were mbsequmtly analysed, using a simple linear regression, to estimate the mrrelation between the segtruthed radial nrrrents estimated fmm the drifter data and those estimates pmvided by the radar technique. *Sa S&n 4.3 h a dirdn of hov them SNR valuer vae ofputed frofro the radar e r a . 45
4.6 Vector Surface Current Estimation 4.6.1 Introduction The performance of the venor surface current estimation algorithm will h t be ad- dressed using the knom test radial current data as described in Section 44. T he simulated fields of radial m t grid. will form the basic test vectors for the algo- ritbmn. Ideally the test data set should mimic the aetual data with simulations based on some surface m n t model parameten. However, this poses a problem since the ectual data is a hetion of the esseessetially unlmoam m n t -e. The only lmoam quantities ue the cment estimates *om the three drifter tr&. Therefore the ex- tent of the test data for the algorithm" is Lwed on the current sirnulatiom from the known driner velocities. The purpose of the simulat~ona was for so- testing and not for establishing a robust radar signal simulation. This could be quite complex for a HX system if the uncartsinties propaffatlng throughout the radar system were calculated, starting from the raw voitagez measured at the antenna system to the output radar spectra (Lipa and Barrick [17]. Lipa and Barrik [SZ]). Since a robust radar signal s~mulation is beyond the scope of thh thesis, for the sake of simplicity uncertainties w e sunu- iatd in the resultant spectra as an error in the radial current estimate. As already mentioned in Section 4.4, the radial mmponent of the reference current estimated from the drifter data wa.s projected along each radar beam ditectioo used in the at- tual radar datasets to simulate a uniform current fieid far each set. Error estimates vere computed from lmowing the Gaussian statisti- of the radar current estimate. The slmvLated radial cment data were then p r o d by the algorithm to crudely determine its stability for varying algorithm parameters. Fiy, the dgorithm ws~ subjected to the actual radar data with a subsequent comparison to the actual drifter wlocities. 46
Page 1:
CENTRE FOR NEWFOUNDLAND STUDIES TOT
Page 6 and 7:
Abstract Esrlm=r#oo of ocean surf-
Page 8 and 9:
Acknowledgements Quite a number of
Page 10 and 11:
Contents Abstract List of Figures L
Page 12 and 13:
5.2 Direct Radial Surface Current C
Page 14 and 15: 3.4 System architecture of Cape Rae
Page 16 and 17: List of Tables 5.1 Summary of stati
Page 18 and 19: List of Symbols d : Distance irom r
Page 20 and 21: Chapter 1 Introduction The monitori
Page 22 and 23: southward. In t k example the same
Page 24 and 25: 1.2 Conventional Methods for Measur
Page 26 and 27: iceberg motion, a better relationsh
Page 28 and 29: magnitude of the radid component is
Page 30 and 31: Rice 1241, Barrick [I] developed an
Page 32 and 33: ange broad and narrow-ham systems (
Page 34 and 35: the shon-r- radar is quite diEerent
Page 36 and 37: of a chapter. Thig dso provides an
Page 38 and 39: 2.2 Radial Surface Currents 2.2.1 T
Page 40 and 41: Figure 2.1: Radw Spectrum (solid li
Page 42 and 43: intervals of Ar and A.9, where thee
Page 44 and 45: Figure 2.3: Wan Q is mbdivided into
Page 46 and 47: The abwe system of equations is swe
Page 48 and 49: Chapter 3 Experimental Data 3.1 Int
Page 50 and 51: e built at other eoastd sites such
Page 52 and 53: Since the mean currents within mast
Page 54 and 55: Figure 3.4: System architecture of
Page 56 and 57: spatid variability and to check sys
Page 58 and 59: oth of these techniques ean then be
Page 60 and 61: the dominant, or 9-, peaks of the s
Page 62 and 63: modelled, since they are known quan
Page 66 and 67: 4.6.2 Selection of Algorithmn Param
Page 68 and 69: subtended by the b- increases in sb
Page 70 and 71: simplib the analysis by converting
Page 72 and 73: for then beams is therefore 3, 5 an
Page 74 and 75: with the graphs are from a linear r
Page 76 and 77: Fiere 5.2: Scattergrams of radid su
Page 78 and 79: Table 5.2 that the SNR eases of 10
Page 80 and 81: m-ments deliwred by radar and buoys
Page 82 and 83: Figure 5.6: Scattergrams of simulat
Page 84 and 85: Figure 5.7: Scattergrams of -tor me
Page 86 and 87: size. In other words, the algorithm
Page 88 and 89: tem, which is a programmable fsture
Page 90 and 91: Radii vetocify [cws) - Radar Figure
Page 92 and 93: ocean surface m nts where the curre
Page 94 and 95: Chapter 6 Conclusions 6.1 Direct Ra
Page 96 and 97: gential component estimate, wen wit
Page 98 and 99: One of the goals of this thesis has
Page 100 and 101: Future work dl also deal with the f
Page 102 and 103: [I4 D. Diemand, E. Faemer, and J. B
Page 104 and 105: (461 D. Barriek, M. Evans, and B. W
Page 106 and 107: DATE (LOCAL) EVENT Comments shorn 6
Page 108 and 109: TIME - DATE (LOCAL) EVENT Comments
Page 110 and 111: The tape was mated by using the DEC
Page 112 and 113: Where DATLOG - Array of 32x3 bytes
Page 114 and 115:
Appendix C Catalogue of the NRSL Ra
Page 116 and 117:
Date (1992) 11/11 12/11 13/11 14/11
Page 118 and 119:
Time I FFT 1 - Date 01/11/92 02/11/
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