메뉴 건너뛰기




Volumn 20, Issue 23, 2007, Pages 5798-5814

Empirical models of the probability distribution of sea surface wind speeds

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; MATHEMATICAL MODELS; PARAMETERIZATION; VECTORS; WEIBULL DISTRIBUTION;

EID: 37549029206     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007JCLI1609.1     Document Type: Article
Times cited : (25)

References (43)
  • 1
    • 16244415816 scopus 로고    scopus 로고
    • Quantifying uncertainty for non-Gaussian ensembles in complex systems
    • Abramov, R. V., and A. J. Majda, 2004: Quantifying uncertainty for non-Gaussian ensembles in complex systems. SIAM J. Sci. Comput., 26, 411-447.
    • (2004) SIAM J. Sci. Comput , vol.26 , pp. 411-447
    • Abramov, R.V.1    Majda, A.J.2
  • 2
    • 13244267227 scopus 로고    scopus 로고
    • Information theory and predictability for low-frequency variability
    • Abramov, R. V., A. J. Majda, and R. Kleeman, 2005: Information theory and predictability for low-frequency variability. J. Atmos. Sci., 62, 65-87.
    • (2005) J. Atmos. Sci , vol.62 , pp. 65-87
    • Abramov, R.V.1    Majda, A.J.2    Kleeman, R.3
  • 3
    • 0030432894 scopus 로고    scopus 로고
    • Characteristic frequency distributions of remotely sensed in situ and modelled wind speeds
    • Bauer, E., 1996: Characteristic frequency distributions of remotely sensed in situ and modelled wind speeds. Int. J. Climatol., 16, 1087-1102.
    • (1996) Int. J. Climatol , vol.16 , pp. 1087-1102
    • Bauer, E.1
  • 4
    • 0038686147 scopus 로고    scopus 로고
    • SeaWinds validation with research vessels
    • doi:10.1029/2001JC001028
    • Bourassa, M. A., D. M. Legler, J. J. O'Brien, and S. R. Smith, 2003: SeaWinds validation with research vessels. J. Geophys. Res., 108, 3019, doi:10.1029/2001JC001028.
    • (2003) J. Geophys. Res , vol.108 , pp. 3019
    • Bourassa, M.A.1    Legler, D.M.2    O'Brien, J.J.3    Smith, S.R.4
  • 5
    • 18544406417 scopus 로고    scopus 로고
    • Incorporating the effect of small-scale circulations upon dust emission in an atmospheric general circulation model
    • doi:10.1029/2003JD004067
    • Cakmur, R., R. Miller, and O. Torres, 2004: Incorporating the effect of small-scale circulations upon dust emission in an atmospheric general circulation model. J. Geophys. Res., 109, D07201, doi:10.1029/2003JD004067.
    • (2004) J. Geophys. Res , vol.109
    • Cakmur, R.1    Miller, R.2    Torres, O.3
  • 6
    • 14644442979 scopus 로고    scopus 로고
    • Scatterometer-based assessment of 10-m wind analyses from the operational ECMWF and NCEP numerical weather prediction models
    • Chelton, D. B., and M. H. Freilich, 2005: Scatterometer-based assessment of 10-m wind analyses from the operational ECMWF and NCEP numerical weather prediction models. Mon. Wea. Rev., 133, 409-429.
    • (2005) Mon. Wea. Rev , vol.133 , pp. 409-429
    • Chelton, D.B.1    Freilich, M.H.2
  • 7
    • 0021639076 scopus 로고
    • Review of Weibull statistics for estimation of wind speed distributions
    • Conradsen, K., L. Nielsen, and L. Prahm, 1984: Review of Weibull statistics for estimation of wind speed distributions. J. Climate Appl. Meteor., 23, 1173-1183.
    • (1984) J. Climate Appl. Meteor , vol.23 , pp. 1173-1183
    • Conradsen, K.1    Nielsen, L.2    Prahm, L.3
  • 9
    • 0031086905 scopus 로고    scopus 로고
    • On the fitting of low mean windspeed data to the Weibull distribution
    • Deaves, D., and I. Lines, 1997: On the fitting of low mean windspeed data to the Weibull distribution. J. Wind Eng. Ind. Aerodyn., 66, 169-178.
    • (1997) J. Wind Eng. Ind. Aerodyn , vol.66 , pp. 169-178
    • Deaves, D.1    Lines, I.2
  • 10
    • 0036969258 scopus 로고    scopus 로고
    • Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data
    • Ebuchi, N., H. C. Graber, and M. J. Caruso, 2002: Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. J. Atmos. Oceanic Technol., 19, 2049-2062.
    • (2002) J. Atmos. Oceanic Technol , vol.19 , pp. 2049-2062
    • Ebuchi, N.1    Graber, H.C.2    Caruso, M.J.3
  • 11
    • 0024786026 scopus 로고
    • Non-Weibull behavior observed in a model-generated global surface wind field frequency distribution
    • Erickson, D. J., and J. A. Taylor, 1989: Non-Weibull behavior observed in a model-generated global surface wind field frequency distribution. J. Geophys. Res., 94, 12 693-12 698.
    • (1989) J. Geophys. Res , vol.94
    • Erickson, D.J.1    Taylor, J.A.2
  • 12
    • 0003498504 scopus 로고    scopus 로고
    • 6th ed. Academic Press, 1163 pp, Translated from Russian by Scripta Technica, Inc
    • Gradshteyn, I., and I. Ryzhik, 2000: Table of Integrals, Series, and Products. 6th ed. Academic Press, 1163 pp. (Translated from Russian by Scripta Technica, Inc.)
    • (2000) Table of Integrals, Series, and Products
    • Gradshteyn, I.1    Ryzhik, I.2
  • 13
    • 25444532012 scopus 로고    scopus 로고
    • Quantifying predictability through information theory: Small sample estimation in a non-Gaussian framework
    • Haven, K., A. Majda, and R. Abramov, 2005: Quantifying predictability through information theory: Small sample estimation in a non-Gaussian framework. J. Comput. Phys., 206, 334-362.
    • (2005) J. Comput. Phys , vol.206 , pp. 334-362
    • Haven, K.1    Majda, A.2    Abramov, R.3
  • 14
    • 0017454004 scopus 로고
    • Some aspects of wind power statistics
    • Hennessey, J. P., 1977: Some aspects of wind power statistics. J. Appl. Meteor., 16, 119-128.
    • (1977) J. Appl. Meteor , vol.16 , pp. 119-128
    • Hennessey, J.P.1
  • 15
    • 0001649725 scopus 로고
    • The scientific Beaufort equivalent scale: Effects on wind statistics and climatological air-sea flux estimates in the North Atlantic Ocean
    • Isemer, H.-J., and L. Hasse, 1991: The scientific Beaufort equivalent scale: Effects on wind statistics and climatological air-sea flux estimates in the North Atlantic Ocean. J. Climate, 4, 819-836.
    • (1991) J. Climate , vol.4 , pp. 819-836
    • Isemer, H.-J.1    Hasse, L.2
  • 16
    • 11944266539 scopus 로고
    • Information theory and statistical mechanics
    • Jaynes, E., 1957: Information theory and statistical mechanics. Phys. Rev., 106, 620-630.
    • (1957) Phys. Rev , vol.106 , pp. 620-630
    • Jaynes, E.1
  • 17
    • 37549030356 scopus 로고    scopus 로고
    • Jet Propulsion Laboratory, 2001: SeaWinds on QuikSCAT Level 3: Daily, gridded ocean wind vectors. Tech. Rep. JPL PO.DAAC Product 109, California Institute of Technology, 39 pp. [Available online at http:// podaac.jpl.nasa.gov/pub/ocean_wind/quikscat/L3/doc/qscat_L3.doc.]
    • Jet Propulsion Laboratory, 2001: SeaWinds on QuikSCAT Level 3: Daily, gridded ocean wind vectors. Tech. Rep. JPL PO.DAAC Product 109, California Institute of Technology, 39 pp. [Available online at http:// podaac.jpl.nasa.gov/pub/ocean_wind/quikscat/L3/doc/qscat_L3.doc.]
  • 20
    • 0017901244 scopus 로고
    • Methods for estimating wind speed frequency distributions
    • Justus, C., W. Hargraves, A. Mikhail, and D. Graber, 1978: Methods for estimating wind speed frequency distributions. J. Appl. Meteor., 17, 350-353.
    • (1978) J. Appl. Meteor , vol.17 , pp. 350-353
    • Justus, C.1    Hargraves, W.2    Mikhail, A.3    Graber, D.4
  • 21
    • 0036646756 scopus 로고    scopus 로고
    • Measuring dynamical prediction utility using relative entropy
    • Kleeman, R., 2002: Measuring dynamical prediction utility using relative entropy. J. Atmos. Sci., 59, 2057-2072.
    • (2002) J. Atmos. Sci , vol.59 , pp. 2057-2072
    • Kleeman, R.1
  • 22
    • 34248656231 scopus 로고    scopus 로고
    • Statistical predictability in the atmosphere and other dynamical systems
    • Kleeman, R., 2007: Statistical predictability in the atmosphere and other dynamical systems. Physica D, 230, 65-71.
    • (2007) Physica D , vol.230 , pp. 65-71
    • Kleeman, R.1
  • 23
    • 23744485056 scopus 로고    scopus 로고
    • Predictability in a model of geophysical turbulence
    • Kleeman, R., and A. Majda, 2005: Predictability in a model of geophysical turbulence. J. Atmos. Sci., 62, 2864-2879.
    • (2005) J. Atmos. Sci , vol.62 , pp. 2864-2879
    • Kleeman, R.1    Majda, A.2
  • 24
    • 0000172067 scopus 로고
    • The subgrid velocity scale in the bulk aerodynamic relationship for spatially averaged scalar fluxes
    • Mahrt, L., and J. Sun, 1995: The subgrid velocity scale in the bulk aerodynamic relationship for spatially averaged scalar fluxes. Mon. Wea. Rev., 123, 3032-3041.
    • (1995) Mon. Wea. Rev , vol.123 , pp. 3032-3041
    • Mahrt, L.1    Sun, J.2
  • 26
    • 4143098053 scopus 로고    scopus 로고
    • Low-frequency variability of the statistical moments of sea surface winds
    • doi:10.1029/2004GL019599
    • Monahan, A. H., 2004a: Low-frequency variability of the statistical moments of sea surface winds. Geophys. Res. Lett., 31, L10302, doi:10.1029/2004GL019599.
    • (2004) Geophys. Res. Lett , vol.31
    • Monahan, A.H.1
  • 27
    • 4143105241 scopus 로고    scopus 로고
    • A simple model for the skewness of global sea surface winds
    • Monahan, A. H., 2004b: A simple model for the skewness of global sea surface winds. J. Atmos. Sci., 61, 2037-2049.
    • (2004) J. Atmos. Sci , vol.61 , pp. 2037-2049
    • Monahan, A.H.1
  • 28
    • 33645236015 scopus 로고    scopus 로고
    • The probability distribution of sea surface wind speeds. Part I: Theory and SeaWinds observations
    • Monahan, A. H., 2006a: The probability distribution of sea surface wind speeds. Part I: Theory and SeaWinds observations. J. Climate, 19, 497-520.
    • (2006) J. Climate , vol.19 , pp. 497-520
    • Monahan, A.H.1
  • 29
    • 33645230597 scopus 로고    scopus 로고
    • The probability distribution of sea surface wind speeds. Part II: Dataset intercomparison and seasonal variability
    • Monahan, A. H., 2006b: The probability distribution of sea surface wind speeds. Part II: Dataset intercomparison and seasonal variability. J. Climate, 19, 521-534.
    • (2006) J. Climate , vol.19 , pp. 521-534
    • Monahan, A.H.1
  • 30
    • 0035417444 scopus 로고    scopus 로고
    • Estimation of wind speed distribution using Markov chain Monte Carlo techniques
    • Pang, W.-K., J. J. Forster, and M, D. Troutt, 2001: Estimation of wind speed distribution using Markov chain Monte Carlo techniques. J. Appl. Meteor., 40, 1476-1484.
    • (2001) J. Appl. Meteor , vol.40 , pp. 1476-1484
    • Pang, W.-K.1    Forster, J.J.2    Troutt, M.D.3
  • 31
    • 0022835988 scopus 로고
    • Weibull statistics of wind speed over the ocean
    • Pavia, E. G., and J. J. O'Brien, 1986: Weibull statistics of wind speed over the ocean. J. Climate Appl. Meteor., 25, 1324-1332.
    • (1986) J. Climate Appl. Meteor , vol.25 , pp. 1324-1332
    • Pavia, E.G.1    O'Brien, J.J.2
  • 32
    • 0034074606 scopus 로고    scopus 로고
    • A parameterization of mesoscale enhancement of surface fluxes for large-scale models
    • Redelsperger, J.-L., F. Guichard, and S. Mondon, 2000: A parameterization of mesoscale enhancement of surface fluxes for large-scale models, J. Climate, 13, 402-421.
    • (2000) J. Climate , vol.13 , pp. 402-421
    • Redelsperger, J.-L.1    Guichard, F.2    Mondon, S.3
  • 34
    • 0018040885 scopus 로고
    • Frequency distribution of wind speed near the surface
    • Stewart, D. A., and O. M. Essenwanger, 1978: Frequency distribution of wind speed near the surface. J. Appl. Meteor., 17, 1633-1642.
    • (1978) J. Appl. Meteor , vol.17 , pp. 1633-1642
    • Stewart, D.A.1    Essenwanger, O.M.2
  • 35
    • 0017829737 scopus 로고
    • Note on the use of Weibull statistics to characterize wind-speed data
    • Takle, E., and J. Brown, 1978: Note on the use of Weibull statistics to characterize wind-speed data. J. Appl. Meteor., 17, 556-559.
    • (1978) J. Appl. Meteor , vol.17 , pp. 556-559
    • Takle, E.1    Brown, J.2
  • 36
    • 37549057826 scopus 로고    scopus 로고
    • Intercomparison and validation of ocean-atmosphere energy flux fields. Joint WCRP/SCOR Working Group on Air-Sea Fluxes Final Rep
    • 306 pp
    • Taylor, P. K., Ed., 2000: Intercomparison and validation of ocean-atmosphere energy flux fields. Joint WCRP/SCOR Working Group on Air-Sea Fluxes Final Rep. WMO/TD 1036, 306 pp.
    • (2000) WMO/TD , vol.1036
    • Taylor, P.K.1    Ed2
  • 37
    • 0021640871 scopus 로고
    • The characteristics of wind velocity that favor the fitting of a Weibull distribution in wind speed analysis
    • Tuller, S. E., and A. C. Brett, 1984: The characteristics of wind velocity that favor the fitting of a Weibull distribution in wind speed analysis. J. Climate Appl. Meteor., 23, 124-134.
    • (1984) J. Climate Appl. Meteor , vol.23 , pp. 124-134
    • Tuller, S.E.1    Brett, A.C.2
  • 39
    • 0026446585 scopus 로고
    • Relationship between wind speed and gas exchange over the ocean
    • Wanninkhof, R., 1992: Relationship between wind speed and gas exchange over the ocean. J. Geophys. Res., 97, 7373-7382.
    • (1992) J. Geophys. Res , vol.97 , pp. 7373-7382
    • Wanninkhof, R.1
  • 42
    • 0035088465 scopus 로고    scopus 로고
    • A physically based parameterization for surface flux enhancement by gustiness effects in dry and precipitating convection
    • Williams, A. G., 2001: A physically based parameterization for surface flux enhancement by gustiness effects in dry and precipitating convection. Quart. J. Roy. Meteor. Soc., 127, 469-491.
    • (2001) Quart. J. Roy. Meteor. Soc , vol.127 , pp. 469-491
    • Williams, A.G.1
  • 43
    • 0035568985 scopus 로고    scopus 로고
    • A fast Newton algorithm for entropy maximization in phase determination
    • Wu, Z., G. N. Phillips, R. Tapia, and Y. Zhang, 2001: A fast Newton algorithm for entropy maximization in phase determination. SIAM Rev., 43, 623-642.
    • (2001) SIAM Rev , vol.43 , pp. 623-642
    • Wu, Z.1    Phillips, G.N.2    Tapia, R.3    Zhang, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.