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Master's Defense

Department of Atmospheric Science

Wed., Nov. 30, 3:30 am, EN6085

New CALIPSO lidar detected dust dataset and dust transport analysis

Kang Yang

University of Wyoming

Abstract

New dust dataset covering both strong dust layers and optically thin dust layers in the upper troposphere is developed by utilizing strong signals from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) perpendicular channel. Potential cloud-contamination is studied with the A-train satellite measurements and results show that the cloud impacted dust occurrence is below 0.13% of the total dust, which confirms the high quality the dataset. With the dataset, the seasonal distributions of all dust along with the elevated and non-elevated dust are constructed to study dust transport and uplift processes over the “dust belt” in MAM. Reanalysis meteorology data and longitude-height dust distributions indicate that strong westerly flow over north Africa brings dust eastward and upward and contribute to the strong “dust belt” in the upper troposphere of northern hemisphere. Backward trajectories with Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) and CALIPSO lidar observations are used to explore the source regions and uplift mechanisms for the high-level dust. The result shows that Africa and Arab source dominates in MAM, which contributes 55.9% and 46.0% for high-level dust respectively, and 61.8% contribution from synoptic “trough lifting” makes it the most important mechanism for Africa, while the second significant mechanism contribution for Africa is 16.2% from “trough then mountain lifting”


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