Analysis of iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC MAIAC algorithm
Analysis of iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC MAIAC algorithm
Sujung Go1, Alexei Lyapustin2, Gregory L Schuster3, Myungje Choi4, Paul A Ginoux5, Mian Chin2, Olga V. Kalashnikova6, Oleg Dubovik7, Jhoon Kim8, Arlindo daSilva2, Brent Holben2 and Jeffrey S. Reid9, (1)University of Maryland Baltimore County, Baltimore, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)NASA Langley Research Center, Hampton, VA, United States, (4)University of Maryland Baltimore County, Baltimore, United States, (5)NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA, Princeton, United States, (6)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (7)Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, LIlle, France, (8)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, (9)Marine Meteorology Division, Monterey, CA, United States