Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm

In this paper, we present aerosol retrieval results from the ACEPOL (Aerosol Characterization from Polarimeter and Lidar) campaign, which was a joint initiative between NASA and SRON – the Netherlands Institute for Space Research. The campaign took place in October–November 2017 over the western par...

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Published in:Atmospheric Measurement Techniques
Main Authors: Fu, Guangliang, Hasekamp, Otto, Rietjens, Jeroen, Smit, Martijn, Di Noia, Antonio, Cairns, Brian, Wasilewski, Andrzej, Diner, David, Seidel, Felix, Xu, Feng, Knobelspiesse, Kirk, Gao, Meng, da Silva, Arlindo, Burton, Sharon, Hostetler, Chris, Hair, John, Ferrare, Richard
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
Subjects:
Online Access:https://doi.org/10.5194/amt-13-553-2020
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00050547 2023-05-15T13:07:15+02:00 Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm Fu, Guangliang Hasekamp, Otto Rietjens, Jeroen Smit, Martijn Di Noia, Antonio Cairns, Brian Wasilewski, Andrzej Diner, David Seidel, Felix Xu, Feng Knobelspiesse, Kirk Gao, Meng da Silva, Arlindo Burton, Sharon Hostetler, Chris Hair, John Ferrare, Richard 2020-02 electronic https://doi.org/10.5194/amt-13-553-2020 https://noa.gwlb.de/receive/cop_mods_00050547 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00050205/amt-13-553-2020.pdf https://amt.copernicus.org/articles/13/553/2020/amt-13-553-2020.pdf eng eng Copernicus Publications Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-13-553-2020 https://noa.gwlb.de/receive/cop_mods_00050547 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00050205/amt-13-553-2020.pdf https://amt.copernicus.org/articles/13/553/2020/amt-13-553-2020.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2020 ftnonlinearchiv https://doi.org/10.5194/amt-13-553-2020 2022-02-08T22:36:48Z In this paper, we present aerosol retrieval results from the ACEPOL (Aerosol Characterization from Polarimeter and Lidar) campaign, which was a joint initiative between NASA and SRON – the Netherlands Institute for Space Research. The campaign took place in October–November 2017 over the western part of the United States. During ACEPOL six different instruments were deployed on the NASA ER-2 high-altitude aircraft, including four multi-angle polarimeters (MAPs): SPEX airborne, the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multi-angle SpectroPolarimetric Imager (AirMSPI), and the Research Scanning Polarimeter (RSP). Also, two lidars participated: the High Spectral Resolution Lidar-2 (HSRL-2) and the Cloud Physics Lidar (CPL). Flights were conducted mainly for scenes with low aerosol load over land, but some cases with higher AOD were also observed. We perform aerosol retrievals from SPEX airborne, RSP (410–865 nm range only), and AirMSPI using the SRON aerosol retrieval algorithm and compare the results against AERONET (AErosol RObotic NETwork) and HSRL-2 measurements (for SPEX airborne and RSP). All three MAPs compare well against AERONET for the aerosol optical depth (AOD), with a mean absolute error (MAE) between 0.014 and 0.024 at 440 nm. For the fine-mode effective radius the MAE ranges between 0.021 and 0.028 µm. For the comparison with HSRL-2 we focus on a day with low AOD (0.02–0.14 at 532 nm) over the California Central Valley, Arizona, and Nevada (26 October) as well as a flight with high AOD (including measurements with AOD>1.0 at 532 nm) over a prescribed forest fire in Arizona (9 November). For the day with low AOD the MAEs in AOD (at 532 nm) with HSRL-2 are 0.014 and 0.022 for SPEX and RSP, respectively, showing the capability of MAPs to provide accurate AOD retrievals for the challenging case of low AOD over land. For the retrievals over the smoke plume a reasonable agreement in AOD between the MAPs and HSRL-2 was also found (MAE 0.088 and 0.079 for SPEX and RSP, respectively), despite the fact that the comparison is hampered by large spatial variability in AOD throughout the smoke plume. A good comparison is also found between the MAPs and HSRL-2 for the aerosol depolarization ratio (a measure of particle sphericity), with an MAE of 0.023 and 0.016 for SPEX and RSP, respectively. Finally, SPEX and RSP agree very well for the retrieved microphysical and optical properties of the smoke plume. Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Measurement Techniques 13 2 553 573
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Fu, Guangliang
Hasekamp, Otto
Rietjens, Jeroen
Smit, Martijn
Di Noia, Antonio
Cairns, Brian
Wasilewski, Andrzej
Diner, David
Seidel, Felix
Xu, Feng
Knobelspiesse, Kirk
Gao, Meng
da Silva, Arlindo
Burton, Sharon
Hostetler, Chris
Hair, John
Ferrare, Richard
Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm
topic_facet article
Verlagsveröffentlichung
description In this paper, we present aerosol retrieval results from the ACEPOL (Aerosol Characterization from Polarimeter and Lidar) campaign, which was a joint initiative between NASA and SRON – the Netherlands Institute for Space Research. The campaign took place in October–November 2017 over the western part of the United States. During ACEPOL six different instruments were deployed on the NASA ER-2 high-altitude aircraft, including four multi-angle polarimeters (MAPs): SPEX airborne, the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multi-angle SpectroPolarimetric Imager (AirMSPI), and the Research Scanning Polarimeter (RSP). Also, two lidars participated: the High Spectral Resolution Lidar-2 (HSRL-2) and the Cloud Physics Lidar (CPL). Flights were conducted mainly for scenes with low aerosol load over land, but some cases with higher AOD were also observed. We perform aerosol retrievals from SPEX airborne, RSP (410–865 nm range only), and AirMSPI using the SRON aerosol retrieval algorithm and compare the results against AERONET (AErosol RObotic NETwork) and HSRL-2 measurements (for SPEX airborne and RSP). All three MAPs compare well against AERONET for the aerosol optical depth (AOD), with a mean absolute error (MAE) between 0.014 and 0.024 at 440 nm. For the fine-mode effective radius the MAE ranges between 0.021 and 0.028 µm. For the comparison with HSRL-2 we focus on a day with low AOD (0.02–0.14 at 532 nm) over the California Central Valley, Arizona, and Nevada (26 October) as well as a flight with high AOD (including measurements with AOD>1.0 at 532 nm) over a prescribed forest fire in Arizona (9 November). For the day with low AOD the MAEs in AOD (at 532 nm) with HSRL-2 are 0.014 and 0.022 for SPEX and RSP, respectively, showing the capability of MAPs to provide accurate AOD retrievals for the challenging case of low AOD over land. For the retrievals over the smoke plume a reasonable agreement in AOD between the MAPs and HSRL-2 was also found (MAE 0.088 and 0.079 for SPEX and RSP, respectively), despite the fact that the comparison is hampered by large spatial variability in AOD throughout the smoke plume. A good comparison is also found between the MAPs and HSRL-2 for the aerosol depolarization ratio (a measure of particle sphericity), with an MAE of 0.023 and 0.016 for SPEX and RSP, respectively. Finally, SPEX and RSP agree very well for the retrieved microphysical and optical properties of the smoke plume.
format Article in Journal/Newspaper
author Fu, Guangliang
Hasekamp, Otto
Rietjens, Jeroen
Smit, Martijn
Di Noia, Antonio
Cairns, Brian
Wasilewski, Andrzej
Diner, David
Seidel, Felix
Xu, Feng
Knobelspiesse, Kirk
Gao, Meng
da Silva, Arlindo
Burton, Sharon
Hostetler, Chris
Hair, John
Ferrare, Richard
author_facet Fu, Guangliang
Hasekamp, Otto
Rietjens, Jeroen
Smit, Martijn
Di Noia, Antonio
Cairns, Brian
Wasilewski, Andrzej
Diner, David
Seidel, Felix
Xu, Feng
Knobelspiesse, Kirk
Gao, Meng
da Silva, Arlindo
Burton, Sharon
Hostetler, Chris
Hair, John
Ferrare, Richard
author_sort Fu, Guangliang
title Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm
title_short Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm
title_full Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm
title_fullStr Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm
title_full_unstemmed Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm
title_sort aerosol retrievals from different polarimeters during the acepol campaign using a common retrieval algorithm
publisher Copernicus Publications
publishDate 2020
url https://doi.org/10.5194/amt-13-553-2020
https://noa.gwlb.de/receive/cop_mods_00050547
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00050205/amt-13-553-2020.pdf
https://amt.copernicus.org/articles/13/553/2020/amt-13-553-2020.pdf
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548
https://doi.org/10.5194/amt-13-553-2020
https://noa.gwlb.de/receive/cop_mods_00050547
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00050205/amt-13-553-2020.pdf
https://amt.copernicus.org/articles/13/553/2020/amt-13-553-2020.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
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op_doi https://doi.org/10.5194/amt-13-553-2020
container_title Atmospheric Measurement Techniques
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