Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements
There is growing recognition that high-latitude dust (HLD), originating from local drainage-basin flows, is the dominant source for certain important phenomena such as particle deposition on snow/ice. The analysis of such local plumes (including a better exploitation of remote sensing data) has been...
Published in: | Atmospheric Measurement Techniques |
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ftcopernicus:oai:publications.copernicus.org:amt110675 2023-10-09T21:48:43+02:00 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 2023-09-12 application/pdf https://doi.org/10.5194/amt-16-4115-2023 https://amt.copernicus.org/articles/16/4115/2023/ eng eng doi:10.5194/amt-16-4115-2023 https://amt.copernicus.org/articles/16/4115/2023/ eISSN: 1867-8548 Text 2023 ftcopernicus https://doi.org/10.5194/amt-16-4115-2023 2023-09-18T16:24:17Z There is growing recognition that high-latitude dust (HLD), originating from local drainage-basin flows, is the dominant source for certain important phenomena such as particle deposition on snow/ice. The analysis of such local plumes (including a better exploitation of remote sensing data) has been targeted as a key aerosol issue by the HLD community. The sub-Arctic Lhù'ààn Mân' (Kluane Lake) region in the Canadian Yukon is subject to regular drainage-basin, wind-induced dust plumes. This dust emission site is one of many current and potential proglacial dust sources in the Canadian north. In situ ground-based measurements are, due to constraints in accessing these types of regions, rare. Ground- and satellite-based remote sensing accordingly play an important role in helping to characterize local dust sources in the Arctic and sub-Arctic. We compared ground-based passive and active remote sensing springtime (May 2019) retrievals with microphysical surface-based measurements in the Lhù'ààn Mân' region in order to better understand the potential for ground- and satellite-based remote sensing of HLD plumes. This included correlation analyses between ground-based coarse mode (CM) aerosol optical depth (AOD) retrievals from AERONET AOD spectra, CM AODs derived from co-located Doppler lidar profiles, and OPS (optical particle sizer) surface measurements of CM particle-volume concentration ( v c (0) ). An automated dust classification scheme was developed to objectively identify local dust events. The classification process helped distinguish lidar-derived CM AODs which covaried with v dust (0) (during recognized dust events) and those that varied at the same columnar scale as AERONET-derived CM AOD (and thus could be remotely sensed). False positive cloud events for dust-induced, high-frequency variations in lidar-derived CM AODs in cloudless atmospheres indicated that the AERONET cloud-screening process was rejecting CM dust AODs. The persistence of a positive lidar ratio bias in comparing the CIMEL/lidar-derived ... Text Arctic Yukon Copernicus Publications: E-Journals Arctic Kluane Lake ENVELOPE(-138.773,-138.773,61.261,61.261) Yukon Atmospheric Measurement Techniques 16 17 4115 4135 |
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Open Polar |
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Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
There is growing recognition that high-latitude dust (HLD), originating from local drainage-basin flows, is the dominant source for certain important phenomena such as particle deposition on snow/ice. The analysis of such local plumes (including a better exploitation of remote sensing data) has been targeted as a key aerosol issue by the HLD community. The sub-Arctic Lhù'ààn Mân' (Kluane Lake) region in the Canadian Yukon is subject to regular drainage-basin, wind-induced dust plumes. This dust emission site is one of many current and potential proglacial dust sources in the Canadian north. In situ ground-based measurements are, due to constraints in accessing these types of regions, rare. Ground- and satellite-based remote sensing accordingly play an important role in helping to characterize local dust sources in the Arctic and sub-Arctic. We compared ground-based passive and active remote sensing springtime (May 2019) retrievals with microphysical surface-based measurements in the Lhù'ààn Mân' region in order to better understand the potential for ground- and satellite-based remote sensing of HLD plumes. This included correlation analyses between ground-based coarse mode (CM) aerosol optical depth (AOD) retrievals from AERONET AOD spectra, CM AODs derived from co-located Doppler lidar profiles, and OPS (optical particle sizer) surface measurements of CM particle-volume concentration ( v c (0) ). An automated dust classification scheme was developed to objectively identify local dust events. The classification process helped distinguish lidar-derived CM AODs which covaried with v dust (0) (during recognized dust events) and those that varied at the same columnar scale as AERONET-derived CM AOD (and thus could be remotely sensed). False positive cloud events for dust-induced, high-frequency variations in lidar-derived CM AODs in cloudless atmospheres indicated that the AERONET cloud-screening process was rejecting CM dust AODs. The persistence of a positive lidar ratio bias in comparing the CIMEL/lidar-derived ... |
format |
Text |
author |
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 |
spellingShingle |
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 Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements |
author_facet |
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 |
author_sort |
Sayedain, Seyed Ali |
title |
Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements |
title_short |
Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements |
title_full |
Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements |
title_fullStr |
Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements |
title_full_unstemmed |
Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements |
title_sort |
detection and analysis of lhù'ààn mân' (kluane lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements |
publishDate |
2023 |
url |
https://doi.org/10.5194/amt-16-4115-2023 https://amt.copernicus.org/articles/16/4115/2023/ |
long_lat |
ENVELOPE(-138.773,-138.773,61.261,61.261) |
geographic |
Arctic Kluane Lake Yukon |
geographic_facet |
Arctic Kluane Lake Yukon |
genre |
Arctic Yukon |
genre_facet |
Arctic Yukon |
op_source |
eISSN: 1867-8548 |
op_relation |
doi:10.5194/amt-16-4115-2023 https://amt.copernicus.org/articles/16/4115/2023/ |
op_doi |
https://doi.org/10.5194/amt-16-4115-2023 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
16 |
container_issue |
17 |
container_start_page |
4115 |
op_container_end_page |
4135 |
_version_ |
1779311797062336512 |