Bayesian networks
; Cameras
; Computer simulation
; Estimation
; Normal distribution
; Planning
; Probability density function
; Regression analysis
; Remote sensing
; Bayesian
; Cloud fraction
; Probabilistic density function
; Southern great plains
; total sky image
; Data processing
; atmospheric modeling
; cloud
; data set
; feasibility study
; image resolution
; probability density function
; regression analysis
; remote sensing
; Great Plains
; United States
Department of Mathematics and Statistics, San Diego State University, 5500 Campanile Drive, GMCS 415, San Diego, CA, 92182-7720, United States; Scripps Institution of Oceanography, University of California San Diego, San Diego CA, United States
Recommended Citation:
Shen S.S.P.,Velado M.,Somerville R.C.J.,et al. Probabilistic assessment of cloud fraction using Bayesian blending of independent datasets: Feasibility study of a new method[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(10)