Analysis of a saline dust storm from the Aralkum Desert – Part 1: Consistency between multisensor satellite aerosol products
Xin Xi,Jun Wang,Zhendong Lu,Andrew M. Sayer,Jaehwa Lee,Robert C. Levy,Yujie Wang,Alexei Lyapustin,Hongqing Liu,Istvan Laszlo,Changwoo Ahn,Omar Torres,Sabur Abdullaev,James Limbacher,and Ralph A. Kahn
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Hongqing Liu
Center for Satellite Applications and Research, National Environmental Satellite, Data, and Information Service, National Oceanic and Atmospheric Administration, College Park, MD, USA
I. M. Systems Group, Inc., College Park, MD, USA
Istvan Laszlo
Center for Satellite Applications and Research, National Environmental Satellite, Data, and Information Service, National Oceanic and Atmospheric Administration, College Park, MD, USA
Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD, USA
Changwoo Ahn
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications Inc., Lanham, MD, USA
Omar Torres
NASA Goddard Space Flight Center, Greenbelt, MD, USA
The Aralkum Desert is challenging for aerosol retrieval due to its bright, heterogeneous, and dynamic surfaces and the lack of in situ constraints on aerosol properties. The performance and consistency of satellite algorithms in observing Aralkum-generated saline dust remain unknown. This study compares multisensor UVAI (ultraviolet aerosol index), AOD (aerosol optical depth), and ALH (aerosol layer height) products and reveals inconsistencies and potential biases over the Aral Sea basin.
The Aralkum Desert is challenging for aerosol retrieval due to its bright, heterogeneous, and...