Articles | Volume 15, issue 20
https://doi.org/10.5194/acp-15-11629-2015
© Author(s) 2015. 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-15-11629-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Predicting the mineral composition of dust aerosols – Part 2: Model evaluation and identification of key processes with observations
Department of Applied Physics and Applied Mathematics, Columbia University in The City of New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
C. Pérez García-Pando
Department of Applied Physics and Applied Mathematics, Columbia University in The City of New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
R. L. Miller
Department of Applied Physics and Applied Mathematics, Columbia University in The City of New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
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Short summary
A global compilation from nearly sixty measurement studies is used to evaluate two methods of simulating the mineral composition of dust aerosols. Dust emission based on wet-sieved soil is assumed for the first method. The second method reconstructs the aggregates and size distribution of the emitted dust aerosols. Only the second method is able to reproduce observed phyllosilicate fractions in the silt size range and reduces quartz overestimation. Substantial uncertainties remain.
A global compilation from nearly sixty measurement studies is used to evaluate two methods of...
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