J3.3 A Global Analysis of Dust Diurnal Variability Using CATS Observations

Monday, 13 January 2020: 11:00 AM
210C (Boston Convention and Exhibition Center)
Yan Yu, Univ. of California, Los Angeles, Los Angeles, CA; and O. Kalashnikova, M. Garay, H. Lee, M. Choi, G. S. Okin, J. E. Yorks, and J. R. Campbell

The current study investigates the diurnal cycle of dust loading across the global tropics, sub-tropics, and mid-latitudes by analyzing aerosol extinction and typing profiles observed by the Cloud-Aerosol Transport System (CATS) lidar aboard the International Space Station. According to the comparison with ground-based and other satellite observations, CATS aerosol and dust loading observations exhibits reasonable quality and insignificant day-night inconsistency, thereby supporting the current analysis of dust diurnal cycle using CATS data. Based on an analysis of variance analytical framework, statistical significant diurnal variability in dust loading is identified over key dust sources, including the Bodélé depression, West African El Djouf, Rub-al Khali desert, and western and southern North America, confirming the previous observation-based findings regarding the diurnal cycle of dust emission and underlying meteorological processes in these regions. Insignificant annual mean dust diurnal variability is identified over the Iraqi, Thar, and Taklamakan deserts. The currently identified significant diurnal cycle in dust loading over the rainforests in Amazon and tropical southern Africa, Patagonia in South America, and drylands in the central Australia, are hypothesized to be driven by enhanced dust emission due to wildfires, nighttime cooling, and enhanced frontal winds, respectively.
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