Bayesian retrieval of scatterometer wind fields
暂无分享,去创建一个
[1] Ross N. Hoffman,et al. SASS wind ambiguity removal by direct minimization. II - Use of smoothness and dynamical constraints , 1984 .
[2] Andrew C. Lorenc,et al. Analysis methods for numerical weather prediction , 1986 .
[3] R. Daley. Atmospheric Data Analysis , 1991 .
[4] Mike Rees,et al. 5. Statistics for Spatial Data , 1993 .
[5] R. S. Bell,et al. The use of ERS-1 products in operational meteorology , 1993 .
[6] David G. Long,et al. Wind field model-based estimation of seasat scatterometer winds , 1993 .
[7] C. Bishop. Mixture density networks , 1994 .
[8] D. Offiler. The Calibration of ERS-1 Satellite Scatterometer Winds , 1994 .
[9] G. Levy. Southern hemisphere low level wind circulation statisticsfrom the Seasat scatterometer , 1994 .
[10] Preparations for the assimilation of ERS-1 surface wind observations into numerical weather prediction models , 1995 .
[11] Hervé Bourlard,et al. Neural networks for statistical recognition of continuous speech , 1995, Proc. IEEE.
[12] S. Dickinson,et al. A Study of Near-Surface Winds in Marine Cyclones Using Multiple Satellite Sensors , 1996 .
[13] Ad Stoffelen,et al. Ambiguity removal and assimilation of scatterometer data , 1997 .
[14] David L. T. Anderson,et al. Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4 , 1997 .
[15] Dan Cornford,et al. Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements , 2000, Neurocomputing.