Articles | Volume 21, issue 5
https://doi.org/10.5194/acp-21-3973-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-3973-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Mar 2021
Research article |
| 17 Mar 2021
| 17 Mar 2021
Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, NY, United States
Natalie M. Mahowald
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, NY, United States
Ron L. Miller
NASA Goddard Institute for Space Studies, New York, NY, United States
Carlos Pérez García-Pando
Barcelona Supercomputing Center, Barcelona,
Spain
ICREA, Catalan Institution for Research and Advances Studies, Barcelona, Spain
Martina Klose
Barcelona Supercomputing Center, Barcelona,
Spain
Institute of Meteorology and Climate Research (IMK-TRO), Department Troposphere Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Douglas S. Hamilton
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, NY, United States
Maria Gonçalves Ageitos
Barcelona Supercomputing Center, Barcelona,
Spain
Department of Project and Construction Engineering, Technical
University of Catalonia, Terrassa, Spain
Paul Ginoux
Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
Yves Balkanski
Laboratoire des Sciences du Climat et de I'Environnement, UMR 8212
CEA-CNRS-UVSQ-UPSaclay, Gif-sur-Yvette CEDEX, France
Robert O. Green
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Olga Kalashnikova
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Jasper F. Kok
Atmospheric and Oceanic Sciences, University of California, Los
Angeles, CA, United States
Vincenzo Obiso
NASA Goddard Institute for Space Studies, New York, NY, United States
Barcelona Supercomputing Center, Barcelona,
Spain
David Paynter
Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
David R. Thompson
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Data sets
Atmospheric mean mineral aerosol abundance and direct radiative effect by dust for models and cases described in Li et al. (2021) Longlei Li, Natalie M. Mahowald, Ron L. Miller, Carlos Pérez García-Pando, Martina Klose, Douglas S. Hamilton, Maria Gonçalves Ageitos, Paul Ginoux, Yves Balkanski, Robert O. Green, Olga Kalashnikova, Jasper F. Kok, Vincenzo Obiso, David Paynter, and David R. Thompson https://doi.org/10.7298/wedj-jv65
Short summary
For the first time, this study quantifies the range of the dust direct radiative effect due to uncertainty in the soil mineral abundance using all currently available information. We show that the majority of the estimated direct radiative effect range is due to uncertainty in the simulated mass fractions of iron oxides and thus their soil abundance, which is independent of the model employed. We therefore prove the necessity of considering mineralogy for understanding dust–climate interactions.
For the first time, this study quantifies the range of the dust direct radiative effect due to...
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