Articles | Volume 17, issue 3
https://doi.org/10.5194/acp-17-1901-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-1901-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Global scale variability of the mineral dust long-wave refractive index: a new dataset of in situ measurements for climate modeling and remote sensing
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR7583, CNRS, Université Paris Est Créteil et Université Paris Diderot, Institut Pierre et Simon Laplace, Créteil, France
Paola Formenti
CORRESPONDING AUTHOR
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR7583, CNRS, Université Paris Est Créteil et Université Paris Diderot, Institut Pierre et Simon Laplace, Créteil, France
Yves Balkanski
Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, 91191, Gif sur Yvette, France
Lorenzo Caponi
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR7583, CNRS, Université Paris Est Créteil et Université Paris Diderot, Institut Pierre et Simon Laplace, Créteil, France
Department of Physics & INFN, University of Genoa, Genoa, Italy
Mathieu Cazaunau
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR7583, CNRS, Université Paris Est Créteil et Université Paris Diderot, Institut Pierre et Simon Laplace, Créteil, France
Edouard Pangui
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR7583, CNRS, Université Paris Est Créteil et Université Paris Diderot, Institut Pierre et Simon Laplace, Créteil, France
Emilie Journet
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR7583, CNRS, Université Paris Est Créteil et Université Paris Diderot, Institut Pierre et Simon Laplace, Créteil, France
Sophie Nowak
Plateforme RX UFR de chimie, Université Paris Diderot, Paris, France
Sandrine Caquineau
IRD-Sorbonne Universités (UPMC, Univ. Paris 06), CNRS-MNHN, LOCEAN Laboratory, IRD France-Nord, 93143 Bondy, France
Meinrat O. Andreae
Biogeochemistry Department, Max Planck Institute for Chemistry, P.O. box 3060, 55020, Mainz, Germany
Geology and Geophysics Department, King Saud University, Riyadh, Saudi Arabia
Konrad Kandler
Institut für Angewandte Geowissenschaften, Technische Universität Darmstadt, Schnittspahnstr. 9, 64287 Darmstadt, Germany
Thuraya Saeed
Science department, College of Basic Education, Public Authority for Applied Education and Training, Al-Ardeya, Kuwait
Stuart Piketh
Climatology Research Group, Unit for Environmental Science and Management, North-West University, Potchefstroom, South Africa
David Seibert
Walden University, Minneapolis, Minnesota, USA
Earle Williams
Parsons Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Jean-François Doussin
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR7583, CNRS, Université Paris Est Créteil et Université Paris Diderot, Institut Pierre et Simon Laplace, Créteil, France
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Saved (final revised paper)
Latest update: 30 Mar 2023
Short summary
Modeling the interaction of dust with long-wave (LW) radiation is still a challenge due to the scarcity of information on their refractive index. In this paper, we present a unique dataset of dust refractive indices obtained from in situ measurements in a large smog chamber. Our results show that the dust LW refractive index varies strongly from source to source due to particle composition changes. We recommend taking this variability into account in climate and remote sensing applications.
Modeling the interaction of dust with long-wave (LW) radiation is still a challenge due to the...
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