Understanding Observed Stratocumulus Variability and Implications for Aerosol Indirect Effects - PowerPoint PPT Presentation

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Understanding Observed Stratocumulus Variability and Implications for Aerosol Indirect Effects

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Liu and Daum (2000, 2002) Peng and Lohmann (2003) (Sensitivity) MASE N L k Data Description Principle Components Analysis % Variance Explained by Mode: ... – PowerPoint PPT presentation

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Title: Understanding Observed Stratocumulus Variability and Implications for Aerosol Indirect Effects


1
Understanding Observed Stratocumulus Variability
and Implications for Aerosol Indirect Effects
  • Nathan Johnson

2
Outline
  • Effects of aerosols on Climate
  • Susceptibility
  • Observations of Microphysical Quantities
  • MArine Stratocumulus Experiment
  • Principle Components Analysis

3
Introduction
  • Indirect Effects of Aerosols on Climate
  • Twomey / Albrecht / Dispersion

4
Observational effect of N on k
  • k increases with increasing N
  • Pruppacher and Klett (1997)
  • Miles et al. (2000) ???
  • Yum and Hudson (1997)
  • Lu and Seinfeld (2006) (Modeling)
  • Feingold et al. (1997) (Modeling)
  • Lu et al. (2007)
  • k decreases with increasing N
  • Martin et al. (1994)
  • Ackerman et al. (2000)
  • McFarquhar and Heymsfield (2001) ???
  • Liu and Daum (2000, 2002)
  • Peng and Lohmann (2003) (Sensitivity)

5
MASE
6
Data Description
7
Principle Components Analysis
Variance Explained by Mode
1 2 3 CDNC 0.746
0.226 0.028 LWC 0.879 0.001
0.120 k 0.767 0.191 0.042
8
Principle Components Analysis N0
9
EOF N0
10
Principle Components Analysis N
11
EOF N
12
Principle Components Analysis NR2
13
EOF NR2
14
North Test
Weight Color
N0 Black
N Red
NR2 Green
15
Summary
  • Weighting of the data can influence the result
    obtained from PCA
  • Scattering - QNR2
  • Uncertain which method will yield most
    interesting results
  • Important implications for aerosol indirect
    effects
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