On the Bayesian estimation of cloud fraction from lidar transects

Journal of Geophysical Research Atmospheres

Volumn 112, Issue 9, 2007, Pages

  Settle, Jeffery J ^a   van de Poll, H Martine ^b  

^a UNIVERSITY OF READING   (United Kingdom)

^b RISK MANAGEMENT SOLUTIONS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC OPTICS; CLOUDS; INTEGRATION; MATHEMATICAL MODELS; METEOROLOGICAL RADAR; OPTICAL RADAR; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

BAYESIAN ANALYSIS; CLOUD COVER; ESTIMATION METHOD; LIDAR; PROBABILITY DENSITY FUNCTION; REMOTE SENSING; STATISTICAL ANALYSIS; TRANSECT;

EID: 34347344077     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006JD007251     Document Type: Article

References (5)

1. Abramowitz, M., and I. A. Stegun (1972), A Handbook of Mathematical Functions, Dover, Mineola, N. Y.
2. Astin, I. V., L. Di Girolamo, and H. M. van de Poll (2001), Bayesian confidence intervals for true fractional coverage from finite transect measurements: Implications for cloud studies from space, J. Geophys. Res., 106(D15), 17,303-17,310.
3. Jaynes, E. T. (2003), Probability Theory: The Logic of Science, Cambridge Univ. Press, New York.
4. Stephens, G. L., et al. (2002), The CloudSat Mission and the A-Train: A new dimension of space-based observations of clouds and precipitation, Bull. Am. Meteorol. Soc., 83(12), 1771-1790.
5. van de Poll, H. M., H. Grubb, and I. V. Astin (2006), Uncertainty properties of cloud fraction estimates from random transect observations, J. Geophys. Res., 111, D22218, doi:10.1029/ 2006JD007189.