GUIDE WAVE ANALYSIS AND FORECASTING - WMO

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estimated either indirectly, by the observer using sea state and feel of the wind, or directly by anemometer if the vessel is so equipped. Estimated wind observations are subject to a wide variety of errors. Such reports are often made by first determining the wind speed in terms of the Beaufort scale, where each scale number represents a range of OCEAN SURFACE WINDS 17 Figure 2.1(a) — Numerical model forecast from the NCEP global forecast model. The output shows isobars of surface pressure (hPa) and wind barbs for 10 m winds (knots (kn), 1.94 kn = 1 m/s) for the 48-hour forecast valid at 00 UTC on 21 December 1995 possible wind speeds. Then, a single speed is chosen for reporting purposes. The scale is based on the appearance of the sea state. However, a substantial time lag may occur for the sea to reach a state that truly reflects the prevailing wind conditions. In addition, it is obvious that night-time wind reports based on visual sea state will be subject to great error.
18 GUIDE TO WAVE ANALYSIS AND FORECASTING Figure 2.1(b) — Surface weather 48-hour forecast based on information in Figure 2.1(a). Valid at 00 UTC, 21 December 1995 (from National Meteorological Center, Marine Forecast Branch, US Department of Commerce/NOAA/NWS)
Page 1 and 2: WORLD METEOROLOGICAL ORGANIZATION G
Page 3 and 4: © 1998, World Meteorological Organ
Page 5 and 6: IV Chapter 7 - WAVES IN SHALLOW WAT
Page 7 and 8: ACKNOWLEDGEMENTS The revision of th
Page 9 and 10: VIII has been included particularly
Page 11 and 12: X considerable attention. Annex III
Page 13 and 14: 2 η Crest Zero level a H = 2a a Tr
Page 15 and 16: 4 Figure 1.5 — Paths of the water
Page 17 and 18: 6 When waves propagate into shallow
Page 19 and 20: 8 1.3.2 Wave groups and group veloc
Page 21 and 22: 10 wavelengths in a given sea state
Page 23 and 24: 12 for instance, a frequency of 0.1
Page 25 and 26: 14 in which E(f) is the variance de
Page 27: 16 2.1.1 Wind and pressure analyses
Page 31 and 32: 20 Figure 2.2(a) (right) — Usual
Page 33 and 34: 22 As a quick approximation of ocea
Page 35 and 36: 24 GUIDE TO WAVE ANALYSIS AND FOREC
Page 37 and 38: 26 Gr G Gr ∇p C Cnf ∇p C Cnf
Page 39 and 40: 28 POINT C — The effect of warm a
Page 41 and 42: 30 a general sense, and can be appl
Page 43 and 44: 32 Free atmosphere Ekman layer Cons
Page 45 and 46: 3.1 Introduction This chapter gives
Page 47 and 48: ange of directions. Also, waves at
Page 49 and 50: small enough that swell can survive
Page 51 and 52: Figure 3.7 — Structure of spectra
Page 53 and 54: 4.1 Introduction CHAPTER 4 WAVE FOR
Page 55 and 56: necessary to forecast waves for a p
Page 57 and 58: TABLE 4.4 Additional wave informati
Page 59 and 60: TABLE 4.6 Ranges of swell periods a
Page 61 and 62: this situation, the angular spreadi
Page 63 and 64: the energy flux is c gH 2 . This is
Page 65 and 66: α0, degrees Solution: 80° 70° 60
Page 67 and 68: 5.1 Introduction National Meteorolo
Page 69 and 70: only once, since it is usual to sto
Page 71 and 72: Frequency 0.050 0.067 0.083 0.100 0
Page 73 and 74: The models may differ in several re
Page 75 and 76: The CH class may include many semi-
Page 77 and 78: 6.1 Introductory remarks Since the
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in some applications, the zero up/d
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OPERATIONAL WAVE MODELS 71 Figure 6
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give large differences in the compa
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Wind (m/s) Waves (m) Buoy/GSOWM Wav
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TABLE 6.2 Numerical wave models ope
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TABLE 6.2 (cont.) Country Name of m
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7.1 Introduction The evolution of w
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water boundary into shallow water.
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eflected waves, although the latter
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Energy (cm 2 /Hz) Energy (cm 2 /Hz)
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8.1 Introduction Wave data are ofte
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matter and timing the intervals bet
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a Directional Waverider (Barstow et
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80°N 60°N 40°N 20°N 0° -20°S
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a combination of sea-surface temper
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8.7.1 Digital analysis of wave reco
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9.1 Introduction Chapter 8 describe
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Presentation of data and wave clima
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the monsoon season of June to Septe
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Probability of non-exceedance case
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individual wave height derived usin
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emote, data-sparse areas. However,
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TABLE 9.2 (cont.) Country Source of
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For a storm hindcast, select the mo
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TABLE 9.3 (cont.) Country Model use
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ANNEX I ABBREVIATIONS AND KEY TO SY
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Abbreviation/ Definition Symbol MOS
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CODE FORM: D . . . . D or IIiii* SE
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sensors, spectral peak wave period
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cs1cs1 The ratio of the spectral de
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M jM j n mn m n smn sm n bn bn b P
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1744 Im Indicator for method of cal
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The following distributions are bri
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4. Weibull distribution Probability
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8. Fisher-Tippett Type I (FT-I) (or
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ANNEX IV THE PNJ (PIERSON-NEUMANN-J
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ANNEX IV 141 Duration graph. Distor
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REFERENCES Abbott, M. B., H. H. Pet
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REFERENCES 145 Carter, D. J. T., P.
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REFERENCES 147 Gumbel, E. J., 1958:
Page 159 and 160:
REFERENCES 149 Maat, N., C. Kraan a
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Slutz, R. J., S. J. Lubker, J. D. H
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SELECTED BIBLIOGRAPHY CERC, 1984: C
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156 Energy . . . . . . . . . . . .
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158 steepness . . . . . . . . . . .
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GUIDE WAVE ANALYSIS AND FORECASTING - WMO

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