NETWORK DESIGN AND PREPROCESSING FOR MULTI-SCALE SPHERICAL BASIS FUNCTION REPRESENTATION

  • Oh, Hee-Seok (Department of Statistics, Seoul National University) ;
  • Kim, Dong-Hoh (Department of International Management, Hongik University)
  • 발행 : 2007.06.30

초록

Given scattered surface air temperatures observed by a network of weather stations, it is an important problem to estimate the entire temperature field for every location on the globe. Recently, a multi-scale spherical basis function (SBF) representation was proposed by Li (1999) for representing scattered data on the sphere. However, for a successful application of Li (1999)'s method, some practical issues such as network design, bandwidth selection of SBFs and initial coefficients are to be resolved. This paper proposes automatic procedures to design network and to select bandwidths. This paper also considers a preprocessing problem to obtain a stable initial coefficients from scattered data. Experiments with real temperature data demonstrate the promising empirical properties of the proposed approaches.

키워드

참고문헌

  1. GOTTELMANN, J. (1996). 'Locally supported wavelets on the sphere', Preprint, Johannes Gutenberg University, Mainz
  2. JONES, P. D., RAPER, S. C. B., CHERRY, B. S. G., GOODESS, C. M., WIGLEY, T. M. L, SANTER, B., KELLY, P. M., BRADLEY, R. S. AND DIAZ, H. F. (1991). An updated global grid point surface air temperature anomaly data set: 1851-1988. Environmental Sciences Division Publication No. 3520, U.S. Department of Energy
  3. LI, T-H. (1999). 'Multiscale representation and analysis of spherical data by spherical wavelets', SIAM Journal on Scientific Computing, 21, 924-953 https://doi.org/10.1137/S1064827598341463
  4. Luo, Z.,WAHBA, G. AND JOHNSON, D. R. (1998). 'Spatial-temporal analysis of temperature using smoothing spline anova', Journal of Climate, 11, 18-28 https://doi.org/10.1175/1520-0442(1998)011<0018:STAOTU>2.0.CO;2
  5. NARCOWICH, F. J. AND WARD, J. D. (1996). 'Nonstationary wavelets on the m-sphere for scattered data', Applied and Computational Harmonic Analysis, 3, 324-336 https://doi.org/10.1006/acha.1996.0025
  6. OH, H-S. AND LI, T-H. (2004). 'Estimation of global temperature fields from scattered observations by a spherical-wavelet-based spatially adaptive method', Journal of the Royal Statistical Society, Ser. B, 66, 221-238 https://doi.org/10.1046/j.1369-7412.2003.05220.x