Cloud Statistics from Calipso Lidar Data for the ... - espace-tum.de

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Appendix. Detailed results 76 Logarithmic binning By definition a bin of constant logarithmic width means that the logarithm of the upper edge of a bin (x i+1 ) is equal to the logarithm of the lower edge of that bin x i plus the bin width b w . That is, log(x i+1 = log(x i ) + b w Each binned value x b can easily be calculated by the average of all x i for i=1,..,n such that i falls in the bin. x b = x 1 + x 2 + . . . + x n n Note that n is the number of integers that fall into each given bin regardless of whether x b is zero or not. Furthermore, for the last bin all integers, even if they are beyond the last data point, have to be included in n. Power law fit uncertainty 60°N 30°N 0.30 0.27 0.24 0.21 0° 0.18 0.15 30°S 60°S 0.12 0.09 0.06 180° 135°W 90°W 45°W 0° 45°E 90°E 135°E 180° 60°N 30°N 10 9 8 7 0° 6 5 30°S 60°S 180° 135°W 90°W 45°W 0° 45°E 90°E 135°E 180° 4 3 2 1 Figure 33: The resulting σ (top) and x min (bottom) values for the discrete best fit power law exponent α computed for each 2 ◦ x 2 ◦ grid point (complete 2007 data set). x min is thereby directly correlated to the cloud gap length by x i = i ∗ 0.333km. The threshold of σ = 0.1 indicate a high uncertainty in the power law distribution.
Appendix. Detailed results 77 Cloud flatness events (a) JFM 60°N 30°N 0° 30°S 60°S 180° 135°W 90°W 45°W 0° 45°E 90°E 135°E 180° (b) AMJ 60°N 30°N 0° 30°S 60°S 180° 135°W 90°W 45°W 0° 45°E 90°E 135°E 180° Figure 34: The same as for Figure 26a but for different seasons JFM (a), AMJ (b), JAS (c), OND (d).
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Technische Universität München Ma
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”Science never solves a problem w
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Acknowledgements I would like to th
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Contents xii 3.1 Introduction . . .
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List of Figures xiv 33 Global cloud
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Abbreviations ABL ATBD BSP CALIOP C
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SI Units and Abbreviations deg degr
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Dedicated to the ones I love and to
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Chapter 1. Introduction and motivat
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Chapter 2. Background information a
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Chapter 3 Methodology behind cloud
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Page 60 and 61: Chapter 4. Case studies 36 4.1 Typi
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Page 64 and 65: Chapter 5 Cloud free statistics 5.1
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Page 82 and 83: Chapter 6. Cloud flatness occurrenc
Page 88 and 89: Chapter 7 Cloud top height distribu
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Page 94 and 95: Chapter 8. Conclusion 70 the existi
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Page 104 and 105: Bibliography J. Alstott, E. Bullmor
Page 106 and 107: Bibliography 82 A. Klaus, S. Yu, an
Page 108 and 109: Bibliography 84 E. P. White, B. J.
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Cloud Statistics from Calipso Lidar Data for the ... - espace-tum.de

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