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The Interaction of African Dust and Dry-air Outbreaks. Xiaoyu Liu Univ. of Miami/RSMAS. Outline. Motivation Data and methodology Preliminary results Conclusion and future work. Motivation.
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The Interaction of African Dust and Dry-air Outbreaks Xiaoyu Liu Univ. of Miami/RSMAS
Outline • Motivation • Data and methodology • Preliminary results • Conclusion and future work
Motivation • Aerosol and water vapor affect clouds and convection (e.g., in tropical cyclones and African monsoon) differently. • Are African dust outbreaks always dry? Are African dry-air outbreaks always dusty? • Can we study their relationship using satellite data?
Aerosol: TOMS Earth Probe satellite data 1996-present 1˚ x 1.25˚ Water Vapor: NVAP(NASA Water Vapor Project) data 1988-1997 1˚ x 1˚ dataset Jan - Dec 1997 1˚ x 1˚
Aerosol: Aerosol Index Column integrated Water Vapor: Integrated precipitable water L1 surface-700mb L2 700-500mb L3 500-300mb Methodology
Seasonal mean Aerosol Winter PW Winter Aerosol Spring PW Spring
Seasonal mean Aerosol Summer PW Summer Aerosol Fall PW Fall
Seasonal Variance Aerosol Winter PW Winter PW Spring Aerosol Spring
Seasonal Variance Aerosol Summer PW Summer Aerosol Fall PW Fall
Synoptic-Scale Correlation Winter Summer Fall Spring
Time-series Winter Spring
Synoptic-Scale Correlation Winter Summer Fall Spring
Time-series Winter Spring
Time-series Summer Fall
Conclusion • The character of African air is not simple. Dust and water vapor are related in certain ways, but can be independent of each other. • Data of a longer record are needed to quantify their relationships.
Vertical Structure Inter-annual variability New satellite data (MODIS, AQUA) Acknowledgment: Chidong Zhang, Jeremy Pennington, J. Lin Future Work