Document Type

Article

Publication Date

9-24-2018

Abstract

The ability of regional atmospheric models to accurately represent long-range transport of dust is crucial for describing dust effects on radiation and clouds and for reducing their uncertainties on these processes. The optimized CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) pure-dust product that provides the three-dimensional patterns of dust and its transport pathways is a unique tool that can address the aforementioned model's issues. In this study we use the CALIPSO dust extinction profiles as a tool for examining the performance of the regional dust model BSC-DREAM8b in space and time, for the period 2009–2013 over Northern Africa, the Mediterranean, Europe, Eastern North Atlantic and the Middle East. Our analysis suggests that the model overestimates the dust extinction coefficient above dust source regions in Sahara Desert especially at altitudes lower than 3 km at about 0.04 km−1. We also found a slight underestimation of transported dust over Europe and Atlantic Ocean lower than 0.025 km−1 of extinction coefficient values all along the vertical column. Over the Mediterranean dust is overestimated (∼0.01 km−1) in layers higher than 1 km height. Dust in the Middle East is significantly underestimated by the model (∼0.05 km−1) all along the vertical column especially during warm seasons. The study also provides an analysis of the CALIPSO limitations and uncertainties on the detection of strong dust activity contributing to the differences between the simulations and observations above the dust sources of Bodelé and Algeria.

Comments

NOTICE: this is the author’s version of a work that was accepted for publication in Atmospheric Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Atmospheric Environment, volume 195, in 2018. DOI: 10.1016/j.atmosenv.2018.09.047

The Creative Commons license below applies only to this version of the article.

Peer Reviewed

1

Copyright

Elsevier

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Available for download on Thursday, September 24, 2020

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