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  • Callaghan, S. A. (2004), Fractal analysis and synthesis of rain fields for radio communication systems, Ph.D. thesis, Univ. of Portsmouth, Portsmouth, U.K.
  • Callaghan, S. A. (2007), Model to generate synthetic rain intensity fields for any given area, ITU-R Doc., 3J/181-E, 3M/205-E.
  • Callaghan, S. A., and E. Vilar (2007), Fractal generation of rain fields: Synthetic realisation for radio communication systems, Microwaves Antennas Propag., 1(6), 12041211.
  • COST 210 Management Committee (1991), Influence of the atmosphere on interference between radio communications systems at frequencies above 1 GHz, COST 210, Eur. Comm., Brussels.
  • COST 235 Management Committee (1996), Radiowave propagation effects on next-generation fixed-services terrestrial telecommunications systems, COST 235, Eur. Comm., Brussels.
  • COST 280 Management Committee (2005), Propagation impairment mitigation for millimeter wave radio systems, COST 280, Eur. Comm., Brussels, (Available at http://www.cost280.rl.ac.uk/).
  • Deidda, R. (1999), Multifractal analysis and simulation of rainfall fields in space, Phys. Chem. Earth, 24(1–2), 7378.
  • Deidda, R. (2000), Rainfall downscaling in a space-time multifractal framework, Water Resour. Res., 36, 17791794.
  • Fenton, G. A., and E. Vanmarcke (1990), Simulation of random fields via local average subdivision, J. Eng. Mech., 116(8), 17331749.
  • Goddard, J. W. F., and S. M. Cherry (1984), The ability of dual-polarisation radar (copolar linear) to predict rainfall rate and microwave attenuation, Radio Sci., 19(1), 201208.
  • Goddard, J. W. F., and M. Thurai (1996), Modelling of attenuation due to rain on terrestrial paths using Chilbolton radar data, NRPP Res. Note 159, Rutherford Appleton Lab., Didcot, U.K.
  • Goddard, J. W. F., and M. Thurai (1997), Radar-derived path reduction factors for terrestrial systems, paper presented at Tenth International Conference on Antennas and Propagation, Inst. of Electr. Eng., Edinburgh, U.K.
  • Goddard, J. W. F., J. D. Eastment, and M. Thurai (1994), The Chilbolton advanced meteorological radar: A tool for multidisciplinary atmospheric research, Electron. Commun. Eng. J., 6(2), 7786.
  • ITU-R (2003a), Specific attenuation model for rain for use in prediction methods, ITU-R Recomm., P.838-2.
  • ITU-R (2003b), Propagation data and prediction methods required for the design of terrestrial broadband millimeter radio access systems operating in a frequency range of about 20–50 GHz in vegetation, ITU-R Recomm., P.1410-2.
  • ITU-R (2007a), Propagation data and prediction methods required for the design of terrestrial line-of-sight systems, ITU-R Recomm., P.530-12.
  • ITU-R (2007b), Characteristics of precipitation for propagation modelling, ITU-R Recomm., P.837-5, P Ser., parts 1 and 2, 2000, suppl. 1.
  • Leitao, M. J., and P. A. Watson (1984), Application of dual linearly polarized radar data to prediction of microwave path attenuation at 10–30 GHz, Radio Sci., 19, 209221.
  • Lovejoy, S., and D. Schertzer (2006), Stereophotography of rain drops and compound poisson—Cascade processes, paper presented at Cloud Conference, Am. Meteorol. Soc., Madison, Wis., 12 – 14 July .
  • Mandelbrot, B. B., and J. W. Van Ness (1968), Fractional Brownian motion, fractional noises and applications, SIAM Rev., 10(4), 422437.
  • Monin, A. S., and A. M. Yaglom (1971), Statistical Fluid Mechanics, vol. 1, MIT Press, Cambridge, Mass.
  • Monin, A. S., and A. M. Yaglom (1975), Statistical Fluid Mechanics, vol. 2, MIT Press, Cambridge, Mass.
  • Paulson, K. S. (2002), Spatial-temporal statistics of rain rate random fields, Radio Sci., 37(5), 1088, doi:10.1029/2001RS002527.
  • Paulson, K. S. (2003), Prediction of diversity statistics on terrestrial microwave links, Radio Sci., 38(3), 1047, doi:10.1029/2001RS002547.
  • Paulson, K. S. (2004), Fractal interpolation of rain rate time series, J. Geophys. Res., 109, D22102, doi:10.1029/2004JD004717.
  • Paulson, K. S., and C. J. Gibbins (2000), Rain models for the prediction of fade durations at millimeter wavelengths, IEE Proc., Part H, 147(6), 431436.
  • Paulson, K. S., and X. Zhang (2007), Estimating the scaling of rain rate moments from radar and rain gauge, J. Geophys. Res., 112, D20107, doi:10.1029/2007JD008547.
  • She, Z.-S., and E. C. Waymire (1995), Quantised energy cascade and log-Poisson statistics in fully developed turbulence, Phys. Rev. Lett., 74(2), 262265.
  • Tan, J., and L. Pedersen (2000), Study of simultaneous coverage and route diversity improvement under rainy periods for LMDS systems at 42 GHz, paper presented at Millenium Conference on Antennas and Propagation (AP2000), Eur. Space Agency, Davos, Switzerland, 9 – 14 April .
  • Usman, I. S. (2005), Development of point to multipoint models for availability and fade mitigation in the millimeter wave frequency range, Ph.D. thesis, Univ. of Bath, Bath, U.K.
  • Voss, R. F. (1985), Random fractal forgeries, in Fundamental Algorithms for Computer Graphics, edited by R. A. Earnshaw, NATO ASI Ser. F, Comput. Syst., vol. 17.
  • Wheater, H. S., V. S. Isham, C. Onof, R. E. Chandler, P. J. Northrop, P. Guiblin, S. M. Bate, D. Cox, and D. Koutsoyiannis (2000), Generation of spatially consistent rainfall data, Res. Rep. 204, Dep. of Stat. Sci. Univ. Coll. London, London, U.K.
  • Zawadzki, I. (1973), Statistical properties of precipitation patterns, J. Appl. Meteorol., 12, 459472.