Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements

Sayedain, Seyed Ali; O'Neill, Norman T.; King, James; Hayes, Patrick L.; Bellamy, Daniel; Washington, Richard; Engelstaedter, Sebastian; Vicente-Luis, Andy; Bachelder, Jill; Bernhard, Malo

doi:https://doi.org/10.5194/amt-16-4115-2023

Articles | Volume 16, issue 17

https://doi.org/10.5194/amt-16-4115-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-4115-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 17

Research article

|

12 Sep 2023

Research article |

| 12 Sep 2023

Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements

Seyed Ali Sayedain, Norman T. O'Neill, James King, Patrick L. Hayes, Daniel Bellamy, Richard Washington, Sebastian Engelstaedter, Andy Vicente-Luis, Jill Bachelder, and Malo Bernhard

Supplement

https://doi.org/10.5194/amt-16-4115-2023-supplement

Data sets

AERONET E. Lind and P. Gupta https://doi.org/10.17616/R3VK9T

OPS particle size distribution, AERONET and Lidar aerosol optical depth data employed in amt-2023-67 S. A. Sayedain and N. T. O'Neill https://doi.org/10.5281/zenodo.8310097

Short summary

We used (columnar) ground-based remote sensing (RS) tools and surface measurements to characterize local (drainage-basin) dust plumes at a site in the Yukon. Plume height, particle size, and column-to-surface ratios enabled insights into how satellite RS could be used to analyze Arctic-wide dust transport. This helps modelers refine dust impacts in their climate change simulations. It is an important step since local dust is a key source of dust deposition on snow in the sensitive Arctic region.