SEARCH

SEARCH BY CITATION

References

  • Anderson CJ, Wikle CK, Zhou Q, Royle JA. 2007. Population influences on tornado reports in the United States. Weather and Forecasting 22: 571579.
  • Berliner LM. 2003. Physical–statistical modeling in Geophysics. J. Geophys. Res. 108(D24): 8776. DOI:10.1029/2002JD002865.
  • Berliner LM, Kim Y. 2008. Bayesian design and analysis for superensemble-based climate forecasting. J. Climate 21: 18911910.
  • Berliner LM, Milliff RF, Wikle CK. 2003. Bayesian hierarchical modelling of air–sea interaction. J. Geophys. Res. 108(C4): 3104. DOI:10.1029/2002JC001413.
  • Bonazzi A. 2008. Ensemble Forecasting in the Mediterranean Sea. PhD Dissertation, University of Bologna, 156 pp.
  • Bourassa MA, Bonekamp H, Chang P, Chelton D, Courtney J, Edson R, Figa J, He Y, Hersbach H, Hilburn K, Jelenak Z, Lee T, Liu WT, Long D, Kelly K, Knabb R, Lindstorm E, Perrie W, Portabella M, Powell M, Rodriguez E, Smith D, Stoffelen A, Swail V, Wentz F. 2010. ‘Remotely sensed winds and wind stresses for marine forecasting and ocean modeling’. In Proceeding, OceanObs'09: Sustained Ocean Observations and Information for Society, Venice, Italy. IOC/UNESCO and ESA. DOI:10.5270/OceanObs09.cwp.08.
  • Chelton DB, Freilich MH. 2005. Scatterometer-based assessment of 10-m wind analyses from the operational ECMWF and NCEP numerical weather prediction models. Mon. Weather Rev. 133: 409429.
  • Chelton DB, Xie S-P. 2010. Coupled ocean–atmosphere interactions at oceanic mesoscales. Oceanogr. Magazine. 23: 5269.
  • Chelton DB, Schlax MG, Freilich MH, Milliff RF. 2004. Satellite measurements reveal persistent small-scale features in ocean winds. Science 303: 978983.
  • Dobricic S, Pinardi N, Adani M, Bonazzi A, Fratianni D, Tonani M. 2005. Mediterranean Forecasting System: An improved assimilation scheme for sea level anomaly and its validation. Q. J. R. Meteorol. Soc. 131: 36273642.
  • Dobricic S, Pinardi N, Adani M, Tonani M, Fratianni C, Bonazzi A, Fernandez V. 2007. Daily oceanographic analyses by the Mediterranean basin scale assimilation system. Ocean Sci. 3: 149157.
  • Draper DW, Long DG. 2002. An assessment of SeaWinds on QuikSCAT wind retrieval. J. Geophys. Res. 107(C): 3212. DOI:10.1029/2002JC001330.
  • Ebuchi N, Graber HC, Caruso MJ. 2002. Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. J. Atmos. Oceanic Technol. 19: 20492062.
  • Ehrendorfer M. 2007. A review of issues in ensemble-based Kalman filtering. Meteorol. Zeitschrift 16(6): 795818.
  • Ehrendorfer M. 2008. ‘Review of issues concerning ensemble-based data assimilation techniques’. Presentation to Banff International Research Station for Mathematical Innovation and Discovery (BIRS), Workshop on Mathematical Advancement in Geophysical Data Assimilation, 3–8 February 2008. Copyright BIRS 2010. See also: www.atmos.ucla.edu/˜kayo/birs/pdf/ehrendorfer birs da08.pdf.
  • EUMETSAT Ocean and Sea Ice Satellite Applications Facility (OSI SAF). 2010. ‘ASCAT Product User Manual, Version 1.8’, copyright EUMETSAT 2010. 24 pp.
  • Evensen G. 2003. The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn. 53: 343367.
  • Freilich MH. 1996. ‘SeaWinds algorithm theoretical basis document’, 56 pp. NASA Jet Propulsion Laboratory, California Institute of Technology: Pasadena, CA. Available online at: http://podaac.jpl.nasa.gov/quikscat/qscat_doc.html.
  • Freilich MH. 1997. Validation of vector magnitude datasets: Effects of random component errors. J. Atmos. Oceanic Technol. 14: 696703.
  • Freilich MH, Vanhoff B. 2003. ‘The accuracy of the QuikSCAT standard (L2B and DIRTH) wind products’. In Proc. Ocean Vector Winds Science Team Meeting, Oxnard, CA. NASA Jet Propulsion Laboratory, Pasadena, CA, USA.
  • Fox NI, Wikle CK. 2005. A Bayesian quantitative precipitation nowcast scheme. Weather and Forecasting 20: 264275.
  • Gilks WR. 1996. Markov Chain Monte Carlo in practice, Gilks WR, Richardson S, Spiegelhalter DJ (eds). Chapman Hall/CRC: London; pp 7588.
  • Gilks WR, Richardson S, Spiegelhalter DJ. 1996. Markov Chain Monte Carlo in practice, Gilks WR, Richardson S, Spiegelhalter DJ (eds). Chapman Hall/CRC: London; pp 120.
  • Hoar TJ, Milliff RF, Wikle CK, Nychka D, Berliner LM. 2003. Winds from a Bayesian hierarchical model: Computation for atmosphere–ocean research. J. Comput. Graphical Stat. 12: 781807.
  • Kersale M, Doglioli AM, Petrenko AA. 2010. Sensitivity study of wind forcing in a numerical model of mesoscale eddies in the lee of Hawaii islands. Ocean Sci. Discuss. 7: 477500.
  • Large WG, McWilliams JC, Doney SM. 1994. Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization. Rev. Geophys. 32: 363403.
  • McWilliams JC, Brown ED, Bryden HL, Ebbesmeyer CC, Elliot BA, Heinmiller RH, Hua BL, Leaman KD, Lindstrom EJ, Luyten JR, McDowell SE, Owens WB, Perkins H, Price JF, Regier L, Riser SC, Rossby HT, Sanford TB, Shen CY, Taft BA, Van Leer JC. 1983. ‘The local dynamics of eddies in the western North Atlantic’. In Eddies in Marine Science, Robinson AR (ed). Springer-Verlag: Berlin; pp 92113.
  • Milliff RF, Large WG, Holland WR, McWilliams JC. 1996. The general circulation responses of high-resolution North Atlantic ocean models to synthetic scatterometer winds. J. Phys. Oceanogr. 26: 17471768.
  • Milliff RF. 2004. Comparing the kinetic energy versus wavenumberin surface wind fields from ECMWF analyses and the NASAQuikSCAT scatterometer, Report No. NWRA-CoRA-04-R272 to Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy, 18 pp. Also available at INGV Bologna, ITALY http://www.bo.ingv.it/mfstep/WP3/scat.htm.
  • Milliff RF, Morzel J. 2001. The global distribution of the time-average wind-stress curl from NSCAT. J. Atmos. Sci. 58(2): 109131.
  • Milliff RF, Large WG, Morzel J, Danabasoglu G, Chin TM. 1999. Ocean general circulation model sensitivity to forcing from scatterometer winds. J. Geophys. Res. 104(C5): 1133711358.
  • Milliff RF, Morzel J, Chelton DB, Freilich MH. 2004. Wind stress curl and wind stress divergence biases from rain effects on QSCAT surface wind retrievals. J. Atmos. Oceanic Technol. 21: 12161231.
  • Nittis K, Tziavos C, Bozzano R, Cardin V, Thanos Y, Petihakis G, Schiano ME, Zanon F. 2007. The M3A multi-sensor buoy network of the Mediterranean Sea. Ocean Sci. 3: 229243.
  • Patoux J, Brown RA. 2001. Spectral analysis of QuikSCAT surface winds and two-dimensional turbulence. J. Geophys. Res. 106(D): 2399524005.
  • Pinardi N, Masetti E. 2000. Variability of the large-scale general circulation of the Mediterranean Sea from observations and modelling: A review. Palaeo 158: 153173.
  • Pinardi N, Robinson AR. 1987. Dynamics of deep thermocline jets in the polymode region. J. Phys. Oceanogr. 17(8): 11631188.
  • Pinardi N, Allen I, Demirov E, De Mey P, Korres G, Lascaratos A, Le Traon P-Y, Maillard C, Manzella G, Tziavos C. 2003. The Mediterranean Ocean Forecasting System: First phase of implementation (1998–2001). Ann. Geophys. 21: 320.
  • Pinardi N, Bonazzi A, Dobricic S, Milliff RF, Wikle CK, Berliner LM. 2011. Ocean ensemble forecasting. Part II: Mediterranean Forecast System response. Q. J. R. Meteorol. Soc., DOI: 10.1002/qj.816.
  • POEM Group. 1992. General circulation of the Eastern Mediterranean. Earth Sci. Rev. 32: 285309.
  • Portabella M, Stoffelen A. 2002. Characterization of residual information for SeaWinds quality control. IEEE Trans. Geosci. Remote Sensing 40: 27472759.
  • Robert CP, Casella G. 2004. Monte Carlo Statistical Methods, 2nd edn. Springer: Berlin; 645 pp.
  • Royle JA, Berliner LM, Wikle CK, Milliff RF. 1998. ‘A hierarchical spatial model for constructing surface winds from scatterometer data in the Labrador Sea’, in Case Studies in Bayesian Statistics IV, C. Gatsonis, R.E. Kass, A. Cariquiry, B. Carlin, A. Cariquiry, A. Gelman, I. Verdinelli, and M. West (Eds.), Springer-Verlag: 367381.
  • Ruti P, Marullo S, D'Ortenzio F, Tremant M. 2008. Comparison of analyzed and measured wind speeds in the perspective of oceanic simulations over the Mediterranean basin: QuiKSCAT and buoy data. J. Marine Sys. 70: 3348. DOI:10.1016/j.jmarsys.2007.02.026.
  • Song Y, Wikle CK, Anderson CJ, Lack SA. 2007. Bayesian estimation of stochastic parametrizations in a numerical weather forecasting model. Mon. Weather Rev. 135: 40454059.
  • Stevens B, Duan J, McWilliams JC, Munnich M, Neelin JD. 2002. Entrainment, Rayleigh friction, and boundary layer winds over the Tropical Pacific. J. Climate 15: 3044.
  • Tonani M, Pinardi N, Dobricic S, Pujol I, Fratianni C. 2008. A high-resolution free-surface model for the Mediterranean Sea. Ocean Sci. 4: 114.
  • Weijer W, Gille S.T. 2005. Adjustment of the southern ocean to wind forcing on synoptic time scales. J. Phys. Oceanogr. 35: 20762089.
  • Wikle CK. 2003. Hierarchical models in environmental science. Int. Statist. Rev. 71: 181199.
  • Wikle CK, Milliff RF, Large WG. 1999. Surface wind variability on spatial scales from 1 to 1000 km observed during TOGA COARE. J. Atmos. Sci. 56: 22222231.
  • Wikle CK, Milliff RF, Nychka D, Berliner LM. 2001. Spatiotemporal hierarchical Bayesian modeling: Tropical ocean surface winds. J. Amer. Statist. Assoc. 96: 382397.