Deliverables
Minutes of kick-off meeting and report about board constitution for the action
Development of an algorithm using 3β+2α information for the classification of aerosol size and absorption type. Such classification will be the input in the stand-alone inversion. It will be done both for spherical and non-spherical particles (dust)
Retrievals by the stand-alone inversion will be compared with airborne in-situ instrumentation during special field campaigns such as DISCOVER-AQ organized by NASA, SHADOW organized by the University of Lille and ORACLES where both NASA and the University of Lille participated. Such database is unique for evaluation of aerosol microphysics vertical-profiles, and particularly for aerosol single scattering albedo.
Discussion about the capabilities of the stand-alone 3β+2α liar inversion for retrieving aerosol microphysical and absorption properties
Searching for OpenAIRE data...
Publications
Author(s): Daniel Pérez-Ramírez, David N. Whiteman, Igor Veselovskii, Mikhail Korenski, Peter R. Colarco, Arlindo M. da Silva
Published in: Journal of Quantitative Spectroscopy and Radiative Transfer, 246, 2020, Page(s) 106932, ISSN 0022-4073
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.jqsrt.2020.106932
Author(s): Daniel Pérez-Ramírez, Alexander Smirnov, Rachel T. Pinker, Maksym Petrenko, Roberto Román, W. Chen, Charles Ichoku, Stefan Noël, Gonzalo Gonzalez Abad, Hassan Lyamani, Brent N. Holben
Published in: Atmospheric Research, 215, 2019, Page(s) 294-304, ISSN 0169-8095
Publisher: Elsevier BV
DOI: 10.1016/j.atmosres.2018.09.007
Author(s): Daniel Pérez-Ramírez, David N. Whiteman, Igor Veselovskii, Peter Colarco, Mikhail Korenski, Arlindo da Silva
Published in: Remote Sensing of Environment, 222, 2019, Page(s) 144-164, ISSN 0034-4257
Publisher: Elsevier BV
DOI: 10.1016/j.rse.2018.12.022