Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm
International audience Abstract. The study presents a climatology of aerosol composition concentrations obtained by a recently developed algorithm approach, namely the Generalized Retrieval of Atmosphere and Surface Properties (GRASP)/Component. It is applied to the whole archive of observations fro...
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ftccsdartic:oai:HAL:hal-04309000v1 2024-02-27T08:32:32+00:00 Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm Li, Lei Derimian, Yevgeny Chen, Cheng Zhang, Xindan Che, Huizheng Schuster, Gregory Fuertes, David Litvinov, Pavel Lapyonok, Tatyana Lopatin, Anton Matar, Christian Ducos, Fabrice Karol, Yana Torres, Benjamin Gui, Ke Zheng, Yu Liang, Yuanxin Lei, Yadong Zhu, Jibiao Zhang, Lei Zhong, Junting Zhang, Xiaoye Dubovik, Oleg Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) Chinese Academy of Meteorological Sciences (CAMS) NASA Langley Research Center Hampton (LaRC) Université de Lille GRASP-SAS, Remote Sensing Developments Peking University Beijing Zhejiang University 2022-07-29 https://hal.science/hal-04309000 https://hal.science/hal-04309000/document https://hal.science/hal-04309000/file/essd-14-3439-2022.pdf https://doi.org/10.5194/essd-14-3439-2022 en eng HAL CCSD Copernicus Publications info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-14-3439-2022 hal-04309000 https://hal.science/hal-04309000 https://hal.science/hal-04309000/document https://hal.science/hal-04309000/file/essd-14-3439-2022.pdf doi:10.5194/essd-14-3439-2022 info:eu-repo/semantics/OpenAccess ISSN: 1866-3508 Earth System Science Data https://hal.science/hal-04309000 Earth System Science Data, 2022, 14 (7), pp.3439-3469. ⟨10.5194/essd-14-3439-2022⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2022 ftccsdartic https://doi.org/10.5194/essd-14-3439-2022 2024-01-28T00:19:23Z International audience Abstract. The study presents a climatology of aerosol composition concentrations obtained by a recently developed algorithm approach, namely the Generalized Retrieval of Atmosphere and Surface Properties (GRASP)/Component. It is applied to the whole archive of observations from the POLarization and Directionality of the Earth's Reflectances (POLDER-3). The conceptual specifics of the GRASP/Component approach is in the direct retrieval of aerosol speciation (component fraction) without intermediate retrievals of aerosol optical characteristics. Although a global validation of the derived aerosol component product is challenging, the results obtained are in line with general knowledge about aerosol types in different regions. In addition, we compare the GRASP-derived black carbon (BC) and dust components with those of the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) product. Quite a reasonable general agreement was found between the spatial and temporal distribution of the species provided by GRASP and MERRA-2. The differences, however, appeared in regions known for strong biomass burning and dust emissions; the reasons for the discrepancies are discussed. The other derived components, such as concentrations of absorbing (BC, brown carbon (BrC), iron-oxide content in mineral dust) and scattering (ammonium sulfate and nitrate, organic carbon, non-absorbing dust) aerosols, represent scarce but imperative information for validation and potential adjustment of chemical transport models. The aerosol optical properties (e.g., aerosol optical depth (AOD), Ångström exponent (AE), single-scattering albedo (SSA), fine- and coarse-mode aerosol optical depth (AODF AND AODC)) derived from GRASP/Component were found to agree well with the Aerosol Robotic Network (AERONET) ground reference data, and were fully consistent with the previous GRASP Optimized, High Precision (HP) and Models retrieval versions applied to POLDER-3 data. Thus, the presented extensive ... Article in Journal/Newspaper Aerosol Robotic Network Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Merra ENVELOPE(12.615,12.615,65.816,65.816) Earth System Science Data 14 7 3439 3469 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[SDU]Sciences of the Universe [physics] |
spellingShingle |
[SDU]Sciences of the Universe [physics] Li, Lei Derimian, Yevgeny Chen, Cheng Zhang, Xindan Che, Huizheng Schuster, Gregory Fuertes, David Litvinov, Pavel Lapyonok, Tatyana Lopatin, Anton Matar, Christian Ducos, Fabrice Karol, Yana Torres, Benjamin Gui, Ke Zheng, Yu Liang, Yuanxin Lei, Yadong Zhu, Jibiao Zhang, Lei Zhong, Junting Zhang, Xiaoye Dubovik, Oleg Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm |
topic_facet |
[SDU]Sciences of the Universe [physics] |
description |
International audience Abstract. The study presents a climatology of aerosol composition concentrations obtained by a recently developed algorithm approach, namely the Generalized Retrieval of Atmosphere and Surface Properties (GRASP)/Component. It is applied to the whole archive of observations from the POLarization and Directionality of the Earth's Reflectances (POLDER-3). The conceptual specifics of the GRASP/Component approach is in the direct retrieval of aerosol speciation (component fraction) without intermediate retrievals of aerosol optical characteristics. Although a global validation of the derived aerosol component product is challenging, the results obtained are in line with general knowledge about aerosol types in different regions. In addition, we compare the GRASP-derived black carbon (BC) and dust components with those of the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) product. Quite a reasonable general agreement was found between the spatial and temporal distribution of the species provided by GRASP and MERRA-2. The differences, however, appeared in regions known for strong biomass burning and dust emissions; the reasons for the discrepancies are discussed. The other derived components, such as concentrations of absorbing (BC, brown carbon (BrC), iron-oxide content in mineral dust) and scattering (ammonium sulfate and nitrate, organic carbon, non-absorbing dust) aerosols, represent scarce but imperative information for validation and potential adjustment of chemical transport models. The aerosol optical properties (e.g., aerosol optical depth (AOD), Ångström exponent (AE), single-scattering albedo (SSA), fine- and coarse-mode aerosol optical depth (AODF AND AODC)) derived from GRASP/Component were found to agree well with the Aerosol Robotic Network (AERONET) ground reference data, and were fully consistent with the previous GRASP Optimized, High Precision (HP) and Models retrieval versions applied to POLDER-3 data. Thus, the presented extensive ... |
author2 |
Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) Chinese Academy of Meteorological Sciences (CAMS) NASA Langley Research Center Hampton (LaRC) Université de Lille GRASP-SAS, Remote Sensing Developments Peking University Beijing Zhejiang University |
format |
Article in Journal/Newspaper |
author |
Li, Lei Derimian, Yevgeny Chen, Cheng Zhang, Xindan Che, Huizheng Schuster, Gregory Fuertes, David Litvinov, Pavel Lapyonok, Tatyana Lopatin, Anton Matar, Christian Ducos, Fabrice Karol, Yana Torres, Benjamin Gui, Ke Zheng, Yu Liang, Yuanxin Lei, Yadong Zhu, Jibiao Zhang, Lei Zhong, Junting Zhang, Xiaoye Dubovik, Oleg |
author_facet |
Li, Lei Derimian, Yevgeny Chen, Cheng Zhang, Xindan Che, Huizheng Schuster, Gregory Fuertes, David Litvinov, Pavel Lapyonok, Tatyana Lopatin, Anton Matar, Christian Ducos, Fabrice Karol, Yana Torres, Benjamin Gui, Ke Zheng, Yu Liang, Yuanxin Lei, Yadong Zhu, Jibiao Zhang, Lei Zhong, Junting Zhang, Xiaoye Dubovik, Oleg |
author_sort |
Li, Lei |
title |
Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm |
title_short |
Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm |
title_full |
Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm |
title_fullStr |
Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm |
title_full_unstemmed |
Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm |
title_sort |
climatology of aerosol component concentrations derived from multi-angular polarimetric polder-3 observations using grasp algorithm |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-04309000 https://hal.science/hal-04309000/document https://hal.science/hal-04309000/file/essd-14-3439-2022.pdf https://doi.org/10.5194/essd-14-3439-2022 |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Merra |
geographic_facet |
Merra |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 1866-3508 Earth System Science Data https://hal.science/hal-04309000 Earth System Science Data, 2022, 14 (7), pp.3439-3469. ⟨10.5194/essd-14-3439-2022⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-14-3439-2022 hal-04309000 https://hal.science/hal-04309000 https://hal.science/hal-04309000/document https://hal.science/hal-04309000/file/essd-14-3439-2022.pdf doi:10.5194/essd-14-3439-2022 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/essd-14-3439-2022 |
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Earth System Science Data |
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