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spatid variability and to check system performance. These seetor extents are noted in Appendix C. As a data g dty check the radar aras continually monitored on a per data ruo basis. Plots of the retuned radar signal were regularly produced to inspect range periormance. On-line spectral pro=-ing was also performed to determine the quality of the Bragg components. Also, ss they beearneeam available, most radial surface current maps m e inspected for obvious errors. Field personnel were stationed at the r& site for the duration of the experiment so that hardware problems muid be quickly addressed. 3.3.3 System Performance There arar one hardware failure noted during the experimental period. An inspenion of the wtw on the morning of the 1 5 of ~ November ~ (Julian day 320) revealed that 2 of the 10 beamforming units were dektive. The defective o ts were immediately replaced. It was Later determined these units were causing problems on November llth (Julian day 316), as revealed by a degradation in the data quality tom that day to the day of unit replacement. Other data I-, though very minimal, were mainly due to minor software pmblems that occurred during the initial stage. d the prow. (See Appendix A, for the experimental chronology). The maximum rsdar range was obswed to be approximately 300 kilometerr, with a minimum range of apprmdmately 200 Irm. This was sufficient for an experiment of thk nature since the drifter positions never exceeded 2W km.
Chapter 4 Data Analysis 4.1 Introduction The driRer and radar data analysis procedures are hrieEy d-ibed in this chapter. The drifter analysis prod- will describe hoar the current veloeites are derived kom the positionai data recorded by DFO fmm the ARGOS satellite system. How- ever, since this tffbnique has been reported elsewhere (Helhig 1491). it will only he briefly discussed. Simihiy, for the radar description, only the high-lwei pr-sing techniques will he presented since the fundamental details of the radar system dsip", and its implementation, have been previously reported (Khan et 01. 14.51). A discussion of the radar data pm-iag methods will be partitioned into tmo sections. The Grst section dele with the pmcedsing of the radar time series data after it hap been heamformed into a grid of rangeazimuth him. The radial current algorithm pme- the time series end generates a polar grid of radial current speeds fmm the resultant spectra. This b the hiodamental analysis step since thjs data, when compared to simiiar data from another m r , illustrates the radar's ability to sense the radial component of the current. The -nd section de& with the vector current processing data d p b . This aoalysis entail, the selection of the primary algorithmn parameters, some pramsing mnsiderations, data reduction of the polar grid to match the algorithm parameters, md the h al pm-ing step which yields the orthogond current components. The current estimates prwided by 38
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 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 64 and 65: Sine the drifter estimates m e mnst
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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