Variability of liquid water path in marine boundary layer clouds
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Variability of Liquid Water Path in Marine Boundary Layer Clouds. [email protected] Introduction and Motivation Climatology Model Evaluation Variability of Cloud Liquid Water Conclusions and Future Work. [email protected] Schematic of Tropical Circulation.

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Conclusions Part 1 Clouds

  • We’ve exploited the availability of a 30-year satellite record to construct a comprehensive climatology of global regions dominated by MBL cloud

  • Discussed the applicability of using Lower Tropospheric Stability as an indirect measure of inversion strength and hence Cloud Fraction.

  • In addition to a dependence on LTS, there is an additional, weaker dependence on the absolute temperature.

  • The seasonal cycle in LTS is governed by the potential temperature at 700hPa in the northern hemisphere, and by SST in the Southern Hemisphere regions.

  • These two factors can to a certain extent explain some of the differences in interregional behaviour.

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  • Scene Average Clouds

  • Simultaneous Retrievals – possible biases

  • Assumes Small Particle size

  • Poor spatial resolution relative to visible spectrum

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Conclusions Clouds

  • The A-Train instruments provide the opportunity to use independent collocated measurements of LWP.

  • LWP can be strongly influenced by the large scale atmosphere

  • Increased Lower Tropospheric Stability acts to decrease in-cloud LWP

  • This partially offsets increased CRF due to increased fraction of overcast cloud at high stabilities

  • Wind speed and Potential Temperature at 700 hPa are good indicators of cloud properties for overcast cloud

  • Large scale atmospheric factors can also have a significant impact on droplet effective radius, possibly through cloud lifetime effects

  • Further work is needed to establish mechanisms fort he observed results.

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Future Work Clouds

  • Extend our analysis to different regions

  • Extend time span of current study

  • Investigate seasonal cycle of LWP in terms of large scale variables

  • Extend e.g. LWP-LTS results to different cloud fractions, develop technique to deal with systematic bias.

  • Apply similar method to evaluation of model representation of liquid water.

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