Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC(4)RS

Since aerosols are important to our climate system, we seek to observe the variability of aerosol properties within cloud systems. When applied to the satellite-borne Moderate-resolution Imaging Spectroradiometer (MODIS), the Dark Target (DT) retrieval algorithm provides global aerosol optical depth...

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Published in:Journal of Geophysical Research: Atmospheres
Main Authors: Spencer, Robert S., Levy, Robert C., Remer, Lorraine A., Mattoo, Shana, Arnold, George T., Hlavka, Dennis L., Meyer, Kerry G., Marshak, Alexander, Wilcox, Eric M., Platnick, Steven E.
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365256/
https://doi.org/10.1029/2018jd028989
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spelling ftpubmed:oai:pubmedcentral.nih.gov:7365256 2023-05-15T13:06:40+02:00 Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC(4)RS Spencer, Robert S. Levy, Robert C. Remer, Lorraine A. Mattoo, Shana Arnold, George T. Hlavka, Dennis L. Meyer, Kerry G. Marshak, Alexander Wilcox, Eric M. Platnick, Steven E. 2019-01-28 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365256/ https://doi.org/10.1029/2018jd028989 en eng http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365256/ http://dx.doi.org/10.1029/2018jd028989 J Geophys Res Atmos Article Text 2019 ftpubmed https://doi.org/10.1029/2018jd028989 2020-07-19T00:51:46Z Since aerosols are important to our climate system, we seek to observe the variability of aerosol properties within cloud systems. When applied to the satellite-borne Moderate-resolution Imaging Spectroradiometer (MODIS), the Dark Target (DT) retrieval algorithm provides global aerosol optical depth (AOD at 0.55 μm) in cloud-free scenes. Since MODIS’ resolution (500 m pixels, 3 km or 10 km product) is too coarse for studying near-cloud aerosol, we ported the DT algorithm to the high-resolution (~50 m pixels) enhanced-MODIS Airborne Simulator (eMAS), which flew on the high-altitude ER-2 during the Studies of Emissions, Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC(4)RS) Airborne Science Campaign over the U.S. in 2013. We find that even with aggressive cloud screening, the ~0.5 km eMAS retrievals show enhanced AOD, especially within 6 km of a detected cloud. To determine the cause of the enhanced AOD, we analyze additional eMAS products (cloud retrievals and degraded-resolution AOD), co-registered Cloud Physics Lidar (CPL) profiles, MODIS aerosol retrievals, and ground-based Aerosol Robotic Network (AERONET) observations. We also define spatial metrics to indicate local cloud distributions near each retrieval, and then separate into near-cloud and far-from-cloud environments. The comparisons show that low cloud masking is robust, and unscreened thin cirrus would have only a small impact on retrieved AOD. Some of the enhancement is consistent with clear-cloud transition zone microphysics such as aerosol swelling. However, 3D radiation interaction between clouds and the surrounding clear air appears to be the primary cause of the high AOD near clouds. Text Aerosol Robotic Network PubMed Central (PMC) Journal of Geophysical Research: Atmospheres 124 4 2148 2173
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
spellingShingle Article
Spencer, Robert S.
Levy, Robert C.
Remer, Lorraine A.
Mattoo, Shana
Arnold, George T.
Hlavka, Dennis L.
Meyer, Kerry G.
Marshak, Alexander
Wilcox, Eric M.
Platnick, Steven E.
Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC(4)RS
topic_facet Article
description Since aerosols are important to our climate system, we seek to observe the variability of aerosol properties within cloud systems. When applied to the satellite-borne Moderate-resolution Imaging Spectroradiometer (MODIS), the Dark Target (DT) retrieval algorithm provides global aerosol optical depth (AOD at 0.55 μm) in cloud-free scenes. Since MODIS’ resolution (500 m pixels, 3 km or 10 km product) is too coarse for studying near-cloud aerosol, we ported the DT algorithm to the high-resolution (~50 m pixels) enhanced-MODIS Airborne Simulator (eMAS), which flew on the high-altitude ER-2 during the Studies of Emissions, Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC(4)RS) Airborne Science Campaign over the U.S. in 2013. We find that even with aggressive cloud screening, the ~0.5 km eMAS retrievals show enhanced AOD, especially within 6 km of a detected cloud. To determine the cause of the enhanced AOD, we analyze additional eMAS products (cloud retrievals and degraded-resolution AOD), co-registered Cloud Physics Lidar (CPL) profiles, MODIS aerosol retrievals, and ground-based Aerosol Robotic Network (AERONET) observations. We also define spatial metrics to indicate local cloud distributions near each retrieval, and then separate into near-cloud and far-from-cloud environments. The comparisons show that low cloud masking is robust, and unscreened thin cirrus would have only a small impact on retrieved AOD. Some of the enhancement is consistent with clear-cloud transition zone microphysics such as aerosol swelling. However, 3D radiation interaction between clouds and the surrounding clear air appears to be the primary cause of the high AOD near clouds.
format Text
author Spencer, Robert S.
Levy, Robert C.
Remer, Lorraine A.
Mattoo, Shana
Arnold, George T.
Hlavka, Dennis L.
Meyer, Kerry G.
Marshak, Alexander
Wilcox, Eric M.
Platnick, Steven E.
author_facet Spencer, Robert S.
Levy, Robert C.
Remer, Lorraine A.
Mattoo, Shana
Arnold, George T.
Hlavka, Dennis L.
Meyer, Kerry G.
Marshak, Alexander
Wilcox, Eric M.
Platnick, Steven E.
author_sort Spencer, Robert S.
title Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC(4)RS
title_short Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC(4)RS
title_full Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC(4)RS
title_fullStr Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC(4)RS
title_full_unstemmed Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC(4)RS
title_sort exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during seac(4)rs
publishDate 2019
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365256/
https://doi.org/10.1029/2018jd028989
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source J Geophys Res Atmos
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365256/
http://dx.doi.org/10.1029/2018jd028989
op_doi https://doi.org/10.1029/2018jd028989
container_title Journal of Geophysical Research: Atmospheres
container_volume 124
container_issue 4
container_start_page 2148
op_container_end_page 2173
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