Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm
International audience 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 POLa...
Published in: | Earth System Science Data |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
Other Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2022
|
Subjects: | |
Online Access: | https://insu.hal.science/insu-03779808 https://insu.hal.science/insu-03779808/document https://insu.hal.science/insu-03779808/file/essd-14-3439-2022.pdf https://doi.org/10.5194/essd-14-3439-2022 |
id |
ftunivlille:oai:HAL:insu-03779808v1 |
---|---|
record_format |
openpolar |
spelling |
ftunivlille:oai:HAL:insu-03779808v1 2024-09-09T18:55:34+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 L. 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 Chinese Academy of Meteorological Sciences (CAMS) 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) NASA Langley Research Center Hampton (LaRC) 2022 https://insu.hal.science/insu-03779808 https://insu.hal.science/insu-03779808/document https://insu.hal.science/insu-03779808/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 insu-03779808 https://insu.hal.science/insu-03779808 https://insu.hal.science/insu-03779808/document https://insu.hal.science/insu-03779808/file/essd-14-3439-2022.pdf BIBCODE: 2022ESSD.14.3439L doi:10.5194/essd-14-3439-2022 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1866-3508 Earth System Science Data https://insu.hal.science/insu-03779808 Earth System Science Data, 2022, 14 (7), pp.3439-3469. ⟨10.5194/essd-14-3439-2022⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology info:eu-repo/semantics/article Journal articles 2022 ftunivlille https://doi.org/10.5194/essd-14-3439-2022 2024-06-17T14:16:25Z International audience 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 climatology ... Article in Journal/Newspaper Aerosol Robotic Network LillOA (HAL Lille Open Archive, Université de Lille) Merra ENVELOPE(12.615,12.615,65.816,65.816) Earth System Science Data 14 7 3439 3469 |
institution |
Open Polar |
collection |
LillOA (HAL Lille Open Archive, Université de Lille) |
op_collection_id |
ftunivlille |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology Li, Lei Derimian, Yevgeny Chen, Cheng Zhang, Xindan Che, Huizheng Schuster, Gregory L. 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.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
description |
International audience 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 climatology ... |
author2 |
Chinese Academy of Meteorological Sciences (CAMS) 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) NASA Langley Research Center Hampton (LaRC) |
format |
Article in Journal/Newspaper |
author |
Li, Lei Derimian, Yevgeny Chen, Cheng Zhang, Xindan Che, Huizheng Schuster, Gregory L. 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 L. 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://insu.hal.science/insu-03779808 https://insu.hal.science/insu-03779808/document https://insu.hal.science/insu-03779808/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://insu.hal.science/insu-03779808 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 insu-03779808 https://insu.hal.science/insu-03779808 https://insu.hal.science/insu-03779808/document https://insu.hal.science/insu-03779808/file/essd-14-3439-2022.pdf BIBCODE: 2022ESSD.14.3439L doi:10.5194/essd-14-3439-2022 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/essd-14-3439-2022 |
container_title |
Earth System Science Data |
container_volume |
14 |
container_issue |
7 |
container_start_page |
3439 |
op_container_end_page |
3469 |
_version_ |
1809908744236040192 |