A Survey of Radiative and Physical Properties of North Atlantic Mesoscale Cloud Morphologies from Multiple Identification Methodologies

Three supervised neural network cloud classification routines are applied to daytime MODIS Aqua imagery and compared for the year 2018 over the North Atlantic Ocean: The Morphology Identification Data Aggregated over the Satellite-era (MIDAS), which specializes in subtropical stratocumulus (Sc) clou...

Full description

Bibliographic Details
Main Authors: Eastman, Ryan, McCoy, Isabel Louise, Schulz, Hauke, Wood, Robert
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-2118
https://noa.gwlb.de/receive/cop_mods_00069012
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067416/egusphere-2023-2118.pdf
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2118/egusphere-2023-2118.pdf
id ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00069012
record_format openpolar
spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00069012 2023-10-29T02:38:21+01:00 A Survey of Radiative and Physical Properties of North Atlantic Mesoscale Cloud Morphologies from Multiple Identification Methodologies Eastman, Ryan McCoy, Isabel Louise Schulz, Hauke Wood, Robert 2023-09 electronic https://doi.org/10.5194/egusphere-2023-2118 https://noa.gwlb.de/receive/cop_mods_00069012 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067416/egusphere-2023-2118.pdf https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2118/egusphere-2023-2118.pdf eng eng Copernicus Publications https://doi.org/10.5194/egusphere-2023-2118 https://noa.gwlb.de/receive/cop_mods_00069012 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067416/egusphere-2023-2118.pdf https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2118/egusphere-2023-2118.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/egusphere-2023-2118 2023-10-01T23:21:39Z Three supervised neural network cloud classification routines are applied to daytime MODIS Aqua imagery and compared for the year 2018 over the North Atlantic Ocean: The Morphology Identification Data Aggregated over the Satellite-era (MIDAS), which specializes in subtropical stratocumulus (Sc) clouds; Sugar, Gravel, Flowers, and Fish (SGFF), which is focused on shallow cloud systems in the tropical trade winds; and the community record of marine low cloud mesoscale morphology supported by the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) dataset, which is focused on shallow clouds globally. Comparisons of co-occurrence and vertical and geographic distribution show that morphologies are classified in geographically distinct regions: shallow suppressed and deeper aggregated and disorganized cumulus are seen in the tropical trade winds. Shallow Sc types are frequent in subtropical subsidence regions. More vertically developed solid stratus and open and closed cell Sc are frequent in the mid-latitude storm track. Differing classifier routines favor noticeably different distributions of equivalent types. Average scene albedo is more strongly correlated with cloud albedo than cloud amount for each morphology. Cloud albedo is strongly correlated with the fraction of optically thin cloud cover. The albedo of each morphology is dependent on latitude and location in the mean anticyclonic wind flow over the N. Atlantic. Strong rain rates are associated with middling values of albedo for many cumuliform types, hinting at a complex relationship between the presence of heavily precipitating cores and cloud albedo. The presence of ice at cloud top is associated with higher albedos. For a constant albedo, each morphology displays a distinct set of physical characteristics. Article in Journal/Newspaper North Atlantic Niedersächsisches Online-Archiv NOA
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Eastman, Ryan
McCoy, Isabel Louise
Schulz, Hauke
Wood, Robert
A Survey of Radiative and Physical Properties of North Atlantic Mesoscale Cloud Morphologies from Multiple Identification Methodologies
topic_facet article
Verlagsveröffentlichung
description Three supervised neural network cloud classification routines are applied to daytime MODIS Aqua imagery and compared for the year 2018 over the North Atlantic Ocean: The Morphology Identification Data Aggregated over the Satellite-era (MIDAS), which specializes in subtropical stratocumulus (Sc) clouds; Sugar, Gravel, Flowers, and Fish (SGFF), which is focused on shallow cloud systems in the tropical trade winds; and the community record of marine low cloud mesoscale morphology supported by the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) dataset, which is focused on shallow clouds globally. Comparisons of co-occurrence and vertical and geographic distribution show that morphologies are classified in geographically distinct regions: shallow suppressed and deeper aggregated and disorganized cumulus are seen in the tropical trade winds. Shallow Sc types are frequent in subtropical subsidence regions. More vertically developed solid stratus and open and closed cell Sc are frequent in the mid-latitude storm track. Differing classifier routines favor noticeably different distributions of equivalent types. Average scene albedo is more strongly correlated with cloud albedo than cloud amount for each morphology. Cloud albedo is strongly correlated with the fraction of optically thin cloud cover. The albedo of each morphology is dependent on latitude and location in the mean anticyclonic wind flow over the N. Atlantic. Strong rain rates are associated with middling values of albedo for many cumuliform types, hinting at a complex relationship between the presence of heavily precipitating cores and cloud albedo. The presence of ice at cloud top is associated with higher albedos. For a constant albedo, each morphology displays a distinct set of physical characteristics.
format Article in Journal/Newspaper
author Eastman, Ryan
McCoy, Isabel Louise
Schulz, Hauke
Wood, Robert
author_facet Eastman, Ryan
McCoy, Isabel Louise
Schulz, Hauke
Wood, Robert
author_sort Eastman, Ryan
title A Survey of Radiative and Physical Properties of North Atlantic Mesoscale Cloud Morphologies from Multiple Identification Methodologies
title_short A Survey of Radiative and Physical Properties of North Atlantic Mesoscale Cloud Morphologies from Multiple Identification Methodologies
title_full A Survey of Radiative and Physical Properties of North Atlantic Mesoscale Cloud Morphologies from Multiple Identification Methodologies
title_fullStr A Survey of Radiative and Physical Properties of North Atlantic Mesoscale Cloud Morphologies from Multiple Identification Methodologies
title_full_unstemmed A Survey of Radiative and Physical Properties of North Atlantic Mesoscale Cloud Morphologies from Multiple Identification Methodologies
title_sort survey of radiative and physical properties of north atlantic mesoscale cloud morphologies from multiple identification methodologies
publisher Copernicus Publications
publishDate 2023
url https://doi.org/10.5194/egusphere-2023-2118
https://noa.gwlb.de/receive/cop_mods_00069012
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067416/egusphere-2023-2118.pdf
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2118/egusphere-2023-2118.pdf
genre North Atlantic
genre_facet North Atlantic
op_relation https://doi.org/10.5194/egusphere-2023-2118
https://noa.gwlb.de/receive/cop_mods_00069012
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067416/egusphere-2023-2118.pdf
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2118/egusphere-2023-2118.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/egusphere-2023-2118
_version_ 1781064283431370752