Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements
Anthropogenic aerosols are a key factor governing Earth's climate and play a central role in human-caused climate change. However, because of aerosols' complex physical, optical, and dynamical properties, aerosols are one of the most uncertain aspects of climate modeling. Fortunately, aero...
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ftdoajarticles:oai:doaj.org/article:4ba5c7db60f14478aa4da151ea85d304 2023-05-15T13:06:24+02:00 Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements I. B. Ocko P. A. Ginoux 2017-04-01T00:00:00Z https://doi.org/10.5194/acp-17-4451-2017 https://doaj.org/article/4ba5c7db60f14478aa4da151ea85d304 EN eng Copernicus Publications http://www.atmos-chem-phys.net/17/4451/2017/acp-17-4451-2017.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 1680-7316 1680-7324 doi:10.5194/acp-17-4451-2017 https://doaj.org/article/4ba5c7db60f14478aa4da151ea85d304 Atmospheric Chemistry and Physics, Vol 17, Iss 7, Pp 4451-4475 (2017) Physics QC1-999 Chemistry QD1-999 article 2017 ftdoajarticles https://doi.org/10.5194/acp-17-4451-2017 2022-12-30T20:58:35Z Anthropogenic aerosols are a key factor governing Earth's climate and play a central role in human-caused climate change. However, because of aerosols' complex physical, optical, and dynamical properties, aerosols are one of the most uncertain aspects of climate modeling. Fortunately, aerosol measurement networks over the past few decades have led to the establishment of long-term observations for numerous locations worldwide. Further, the availability of datasets from several different measurement techniques (such as ground-based and satellite instruments) can help scientists increasingly improve modeling efforts. This study explores the value of evaluating several model-simulated aerosol properties with data from spatially collocated instruments. We compare aerosol optical depth (AOD; total, scattering, and absorption), single-scattering albedo (SSA), Ångström exponent ( α ), and extinction vertical profiles in two prominent global climate models (Geophysical Fluid Dynamics Laboratory, GFDL, CM2.1 and CM3) to seasonal observations from collocated instruments (AErosol RObotic NETwork, AERONET, and Cloud–Aerosol Lidar with Orthogonal Polarization, CALIOP) at seven polluted and biomass burning regions worldwide. We find that a multi-parameter evaluation provides key insights on model biases, data from collocated instruments can reveal underlying aerosol-governing physics, column properties wash out important vertical distinctions, and <q>improved</q> models does not mean all aspects are improved. We conclude that it is important to make use of all available data (parameters and instruments) when evaluating aerosol properties derived by models. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Chemistry and Physics 17 7 4451 4475 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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language |
English |
topic |
Physics QC1-999 Chemistry QD1-999 |
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Physics QC1-999 Chemistry QD1-999 I. B. Ocko P. A. Ginoux Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements |
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Physics QC1-999 Chemistry QD1-999 |
description |
Anthropogenic aerosols are a key factor governing Earth's climate and play a central role in human-caused climate change. However, because of aerosols' complex physical, optical, and dynamical properties, aerosols are one of the most uncertain aspects of climate modeling. Fortunately, aerosol measurement networks over the past few decades have led to the establishment of long-term observations for numerous locations worldwide. Further, the availability of datasets from several different measurement techniques (such as ground-based and satellite instruments) can help scientists increasingly improve modeling efforts. This study explores the value of evaluating several model-simulated aerosol properties with data from spatially collocated instruments. We compare aerosol optical depth (AOD; total, scattering, and absorption), single-scattering albedo (SSA), Ångström exponent ( α ), and extinction vertical profiles in two prominent global climate models (Geophysical Fluid Dynamics Laboratory, GFDL, CM2.1 and CM3) to seasonal observations from collocated instruments (AErosol RObotic NETwork, AERONET, and Cloud–Aerosol Lidar with Orthogonal Polarization, CALIOP) at seven polluted and biomass burning regions worldwide. We find that a multi-parameter evaluation provides key insights on model biases, data from collocated instruments can reveal underlying aerosol-governing physics, column properties wash out important vertical distinctions, and <q>improved</q> models does not mean all aspects are improved. We conclude that it is important to make use of all available data (parameters and instruments) when evaluating aerosol properties derived by models. |
format |
Article in Journal/Newspaper |
author |
I. B. Ocko P. A. Ginoux |
author_facet |
I. B. Ocko P. A. Ginoux |
author_sort |
I. B. Ocko |
title |
Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements |
title_short |
Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements |
title_full |
Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements |
title_fullStr |
Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements |
title_full_unstemmed |
Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements |
title_sort |
comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements |
publisher |
Copernicus Publications |
publishDate |
2017 |
url |
https://doi.org/10.5194/acp-17-4451-2017 https://doaj.org/article/4ba5c7db60f14478aa4da151ea85d304 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric Chemistry and Physics, Vol 17, Iss 7, Pp 4451-4475 (2017) |
op_relation |
http://www.atmos-chem-phys.net/17/4451/2017/acp-17-4451-2017.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 1680-7316 1680-7324 doi:10.5194/acp-17-4451-2017 https://doaj.org/article/4ba5c7db60f14478aa4da151ea85d304 |
op_doi |
https://doi.org/10.5194/acp-17-4451-2017 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
17 |
container_issue |
7 |
container_start_page |
4451 |
op_container_end_page |
4475 |
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