Variability of Eastern North Atlantic Summertime Marine Boundary Layer Clouds and Aerosols Across Different Synoptic Regimes Identified with Multiple Conditions

Simple item page
dc.contributor.authorZheng, Xue
dc.contributor.authorQiu, Shaoyue
dc.contributor.authorZhang, Damao
dc.contributor.authorAdebiyi, Adeyemi A.
dc.contributor.authorZheng, Xiaojian
dc.contributor.authorFaruque, Omar
dc.contributor.authorTao, Cheng
dc.contributor.authorWang, Jianwu
dc.date.accessioned2024-09-24T08:59:45Z
dc.date.available2024-09-24T08:59:45Z
dc.date.issued2024-08-22
dc.description.abstractThis study estimates the meteorological covariations of aerosol and marine boundary layer (MBL) cloud properties in the Eastern North Atlantic (ENA) region, characterized by diverse synoptic conditions. Using a deep-learning-based clustering model with mid-level and surface daily meteorological data, we identify seven distinct synoptic regimes during the summer from 2016 to 2021. Our analysis, incorporating reanalysis data and satellite retrievals, shows that surface aerosols and MBL clouds exhibit clear regime-dependent characteristics, while lower tropospheric aerosols do not. This discrepancy likely arises synoptic regimes determined by daily large-scale conditions may overlook air mass histories that predominantly dictate lower tropospheric aerosol conditions. Focusing on three regimes dominated by northerly winds, we analyze the Atmospheric Radiation Measurement Program (ARM) ENA observations on Graciosa Island in the Azores. In the subtropical anticyclone regime, fewer cumulus clouds and more single-layer stratocumulus clouds with light drizzles are observed, along with the highest cloud droplet number concentration (Nd), surface Cloud Condensation Nuclei (CCN) and surface aerosol levels. The post-trough regime features more broken or multi-layer stratocumulus clouds with slightly higher surface rain rate, and lower Nd and surface CCN levels. The weak trough regime is characterized by the deepest MBL clouds, primarily cumulus and broken stratocumulus clouds, with the strongest surface rain rate and the lowest Nd, surface CCN and surface aerosol levels, indicating strong wet scavenging. These findings highlight the importance of considering the covariation of cloud and aerosol properties driven by large-scale regimes when assessing aerosol indirect effects using observations.
dc.description.sponsorshipWe thank the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) data facility for providing observation data and ECMWF for providing ERA5 and CAMS reanalysis data products. This study is mainly conducted using computing resources from the National Energy Research Scientific Computing Center (NERSC), which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This work is funded by the DOE Office of Science Early Career Research Program and the ASR Program. This work is also partially supported by the DOE’s ARM program. The work at Pacific Northwest National Laboratory was supported by the DOE’s ARM program (grant no. DE-AC05-76RL01830). The work at Argonne National Laboratory was supported by the U.S. DOE Office of Science under contract DE-AC02-06CH11357. The work at Lawrence Livermore National Laboratory was performed under the auspices of the U.S. DOE by LLNL under contract DE-AC52-07NA27344. LLNL-JRNL-865275.
dc.description.urihttps://www.authorea.com/users/535019/articles/1216627-variability-of-eastern-north-atlantic-summertime-marine-boundary-layer-clouds-and-aerosols-across-different-synoptic-regimes-identified-with-multiple-conditions
dc.format.extent80 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifierdoi:10.13016/m2tl9o-qv5p
dc.identifier.urihttps://doi.org/10.22541/essoar.172434363.30466798/v1
dc.identifier.urihttp://hdl.handle.net/11603/36359
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC Center for Accelerated Real Time Analysis
dc.relation.ispartofUMBC GESTAR II
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Center for Real-time Distributed Sensing and Autonomy
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.subjectUMBC Big Data Analytics Lab
dc.titleVariability of Eastern North Atlantic Summertime Marine Boundary Layer Clouds and Aerosols Across Different Synoptic Regimes Identified with Multiple Conditions
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-9933-1170

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
1216627.pdf
Size:
14.18 MB
Format:
Adobe Portable Document Format
Download

Collections

UMBC Faculty Collection
UMBC Center for Accelerated Real Time Analysis
UMBC Center for Real-time Distributed Sensing and Autonomy
UMBC Computer Science and Electrical Engineering Department
UMBC GESTAR II
UMBC Information Systems Department
Load more