Loading…

On the Origin of Rotation Derived from Super Rapid Scan Satellite Imagery at the Cloud-Tops of Severe Deep Convection

Severe thunderstorms routinely exhibit adjacent maxima and minima in cloud-top vertical vorticity (CTV) downstream of overshooting tops within flow fields retrieved using sequences of fine-temporal resolution (1-min) geostationary operational environmental satellite (GOES)-R series imagery. Little i...

Full description

Saved in:
Bibliographic Details
Published in:Monthly weather review 2021-06, Vol.149 (6), p.1827
Main Authors: Apke, Jason M., Mecikalski, John R.
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 6
container_start_page 1827
container_title Monthly weather review
container_volume 149
creator Apke, Jason M.
Mecikalski, John R.
description Severe thunderstorms routinely exhibit adjacent maxima and minima in cloud-top vertical vorticity (CTV) downstream of overshooting tops within flow fields retrieved using sequences of fine-temporal resolution (1-min) geostationary operational environmental satellite (GOES)-R series imagery. Little is known about the origin of this so-called “CTV couplet” signature, and whether the signature is the result of flow field derivational artifacts. Thus, the CTV signature’s relevance to research and operations is currently ambiguous. Within this study, we explore the origin of near-cloud-top rotation using an idealized supercell numerical model simulation. Employing an advanced dense optical flow algorithm, image stereoscopy, and numerical model background wind approximations, the artifacts common with cloud-top flow field derivation are removed from two supercell case studies sampled by GOES-R imagers. It is demonstrated that the CTV couplet originates from tilted and converged horizontal vorticity that is baroclinically generated in the upper levels (above 10 km) immediately downstream of the overshooting top. This baroclinic generation would not be possible without a strong and sustained updraft, implying an indirect relationship to rotationally-maintained supercells. Furthermore, it is demonstrated that CTV couplets derived with optical flow algorithms originate from actual rotation within the storm anvils in the case studies explored here, though supercells with opaque above anvil cirrus plumes and strong anvil-level negative vertical wind shear may produce rotation signals as an artifact without quality control. Artifact identification and quality control is discussed further here for future research and operations use.
doi_str_mv 10.1175/MWR-D-20-0209.1
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2676129914</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2676129914</sourcerecordid><originalsourceid>FETCH-LOGICAL-c194t-ca96ecc7dc5d28cfe37f83b758a717be84e329876499b378463876a2c31806053</originalsourceid><addsrcrecordid>eNotkF1LwzAYhYMoOKfX3ga87pavJs2ldH4MJoN14mXI0rezo2tq2g72722dV4cDh-fAg9AjJTNKVTz_-NpEi4iRiDCiZ_QKTWg8NqH5NZoQwlREpBC36K5tD4QQKQWboH5d4-4b8DqU-7LGvsAb39mu9DVeQChPkOMi-CPO-gYC3timzHHmbI0z20FVlR3g5dHuIZyx7f5IaeX7PNr6ph1pGZwgwMCCBqe-PoEb2ffoprBVCw__OUWfry_b9D1ard-W6fMqclSLLnJWS3BO5S7OWeIK4KpI-E7FiVVU7SARwJlOlBRa77hKhORDscxxmhBJYj5FTxduE_xPD21nDr4P9XBpmFSSMq2pGFbzy8oF37YBCtOE8mjD2VBiRrdmcGsWhhEzujWU_wKTr2vH</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2676129914</pqid></control><display><type>article</type><title>On the Origin of Rotation Derived from Super Rapid Scan Satellite Imagery at the Cloud-Tops of Severe Deep Convection</title><source>EZB Electronic Journals Library</source><creator>Apke, Jason M. ; Mecikalski, John R.</creator><creatorcontrib>Apke, Jason M. ; Mecikalski, John R.</creatorcontrib><description>Severe thunderstorms routinely exhibit adjacent maxima and minima in cloud-top vertical vorticity (CTV) downstream of overshooting tops within flow fields retrieved using sequences of fine-temporal resolution (1-min) geostationary operational environmental satellite (GOES)-R series imagery. Little is known about the origin of this so-called “CTV couplet” signature, and whether the signature is the result of flow field derivational artifacts. Thus, the CTV signature’s relevance to research and operations is currently ambiguous. Within this study, we explore the origin of near-cloud-top rotation using an idealized supercell numerical model simulation. Employing an advanced dense optical flow algorithm, image stereoscopy, and numerical model background wind approximations, the artifacts common with cloud-top flow field derivation are removed from two supercell case studies sampled by GOES-R imagers. It is demonstrated that the CTV couplet originates from tilted and converged horizontal vorticity that is baroclinically generated in the upper levels (above 10 km) immediately downstream of the overshooting top. This baroclinic generation would not be possible without a strong and sustained updraft, implying an indirect relationship to rotationally-maintained supercells. Furthermore, it is demonstrated that CTV couplets derived with optical flow algorithms originate from actual rotation within the storm anvils in the case studies explored here, though supercells with opaque above anvil cirrus plumes and strong anvil-level negative vertical wind shear may produce rotation signals as an artifact without quality control. Artifact identification and quality control is discussed further here for future research and operations use.</description><identifier>ISSN: 0027-0644</identifier><identifier>EISSN: 1520-0493</identifier><identifier>DOI: 10.1175/MWR-D-20-0209.1</identifier><language>eng</language><publisher>Washington: American Meteorological Society</publisher><subject>Algorithms ; Anvil clouds ; Anvils ; Artifact identification ; Case studies ; Clouds ; Convection ; GOES satellites ; Imagery ; Kinematics ; Mathematical models ; Numerical models ; Numerical simulations ; Optical flow (image analysis) ; Optical illusions ; Plumes ; Quality control ; Rotation ; Satellite imagery ; Sequences ; Severe thunderstorms ; Spaceborne remote sensing ; Stereoscopy ; Storms ; Supercells ; Thunderstorms ; Updraft ; Vertical vorticity ; Vertical wind shear ; Vorticity ; Wind ; Wind shear</subject><ispartof>Monthly weather review, 2021-06, Vol.149 (6), p.1827</ispartof><rights>Copyright American Meteorological Society Jun 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Apke, Jason M.</creatorcontrib><creatorcontrib>Mecikalski, John R.</creatorcontrib><title>On the Origin of Rotation Derived from Super Rapid Scan Satellite Imagery at the Cloud-Tops of Severe Deep Convection</title><title>Monthly weather review</title><description>Severe thunderstorms routinely exhibit adjacent maxima and minima in cloud-top vertical vorticity (CTV) downstream of overshooting tops within flow fields retrieved using sequences of fine-temporal resolution (1-min) geostationary operational environmental satellite (GOES)-R series imagery. Little is known about the origin of this so-called “CTV couplet” signature, and whether the signature is the result of flow field derivational artifacts. Thus, the CTV signature’s relevance to research and operations is currently ambiguous. Within this study, we explore the origin of near-cloud-top rotation using an idealized supercell numerical model simulation. Employing an advanced dense optical flow algorithm, image stereoscopy, and numerical model background wind approximations, the artifacts common with cloud-top flow field derivation are removed from two supercell case studies sampled by GOES-R imagers. It is demonstrated that the CTV couplet originates from tilted and converged horizontal vorticity that is baroclinically generated in the upper levels (above 10 km) immediately downstream of the overshooting top. This baroclinic generation would not be possible without a strong and sustained updraft, implying an indirect relationship to rotationally-maintained supercells. Furthermore, it is demonstrated that CTV couplets derived with optical flow algorithms originate from actual rotation within the storm anvils in the case studies explored here, though supercells with opaque above anvil cirrus plumes and strong anvil-level negative vertical wind shear may produce rotation signals as an artifact without quality control. Artifact identification and quality control is discussed further here for future research and operations use.</description><subject>Algorithms</subject><subject>Anvil clouds</subject><subject>Anvils</subject><subject>Artifact identification</subject><subject>Case studies</subject><subject>Clouds</subject><subject>Convection</subject><subject>GOES satellites</subject><subject>Imagery</subject><subject>Kinematics</subject><subject>Mathematical models</subject><subject>Numerical models</subject><subject>Numerical simulations</subject><subject>Optical flow (image analysis)</subject><subject>Optical illusions</subject><subject>Plumes</subject><subject>Quality control</subject><subject>Rotation</subject><subject>Satellite imagery</subject><subject>Sequences</subject><subject>Severe thunderstorms</subject><subject>Spaceborne remote sensing</subject><subject>Stereoscopy</subject><subject>Storms</subject><subject>Supercells</subject><subject>Thunderstorms</subject><subject>Updraft</subject><subject>Vertical vorticity</subject><subject>Vertical wind shear</subject><subject>Vorticity</subject><subject>Wind</subject><subject>Wind shear</subject><issn>0027-0644</issn><issn>1520-0493</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNotkF1LwzAYhYMoOKfX3ga87pavJs2ldH4MJoN14mXI0rezo2tq2g72722dV4cDh-fAg9AjJTNKVTz_-NpEi4iRiDCiZ_QKTWg8NqH5NZoQwlREpBC36K5tD4QQKQWboH5d4-4b8DqU-7LGvsAb39mu9DVeQChPkOMi-CPO-gYC3timzHHmbI0z20FVlR3g5dHuIZyx7f5IaeX7PNr6ph1pGZwgwMCCBqe-PoEb2ffoprBVCw__OUWfry_b9D1ard-W6fMqclSLLnJWS3BO5S7OWeIK4KpI-E7FiVVU7SARwJlOlBRa77hKhORDscxxmhBJYj5FTxduE_xPD21nDr4P9XBpmFSSMq2pGFbzy8oF37YBCtOE8mjD2VBiRrdmcGsWhhEzujWU_wKTr2vH</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Apke, Jason M.</creator><creator>Mecikalski, John R.</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20210601</creationdate><title>On the Origin of Rotation Derived from Super Rapid Scan Satellite Imagery at the Cloud-Tops of Severe Deep Convection</title><author>Apke, Jason M. ; Mecikalski, John R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c194t-ca96ecc7dc5d28cfe37f83b758a717be84e329876499b378463876a2c31806053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Anvil clouds</topic><topic>Anvils</topic><topic>Artifact identification</topic><topic>Case studies</topic><topic>Clouds</topic><topic>Convection</topic><topic>GOES satellites</topic><topic>Imagery</topic><topic>Kinematics</topic><topic>Mathematical models</topic><topic>Numerical models</topic><topic>Numerical simulations</topic><topic>Optical flow (image analysis)</topic><topic>Optical illusions</topic><topic>Plumes</topic><topic>Quality control</topic><topic>Rotation</topic><topic>Satellite imagery</topic><topic>Sequences</topic><topic>Severe thunderstorms</topic><topic>Spaceborne remote sensing</topic><topic>Stereoscopy</topic><topic>Storms</topic><topic>Supercells</topic><topic>Thunderstorms</topic><topic>Updraft</topic><topic>Vertical vorticity</topic><topic>Vertical wind shear</topic><topic>Vorticity</topic><topic>Wind</topic><topic>Wind shear</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Apke, Jason M.</creatorcontrib><creatorcontrib>Mecikalski, John R.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aerospace Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Monthly weather review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Apke, Jason M.</au><au>Mecikalski, John R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the Origin of Rotation Derived from Super Rapid Scan Satellite Imagery at the Cloud-Tops of Severe Deep Convection</atitle><jtitle>Monthly weather review</jtitle><date>2021-06-01</date><risdate>2021</risdate><volume>149</volume><issue>6</issue><spage>1827</spage><pages>1827-</pages><issn>0027-0644</issn><eissn>1520-0493</eissn><abstract>Severe thunderstorms routinely exhibit adjacent maxima and minima in cloud-top vertical vorticity (CTV) downstream of overshooting tops within flow fields retrieved using sequences of fine-temporal resolution (1-min) geostationary operational environmental satellite (GOES)-R series imagery. Little is known about the origin of this so-called “CTV couplet” signature, and whether the signature is the result of flow field derivational artifacts. Thus, the CTV signature’s relevance to research and operations is currently ambiguous. Within this study, we explore the origin of near-cloud-top rotation using an idealized supercell numerical model simulation. Employing an advanced dense optical flow algorithm, image stereoscopy, and numerical model background wind approximations, the artifacts common with cloud-top flow field derivation are removed from two supercell case studies sampled by GOES-R imagers. It is demonstrated that the CTV couplet originates from tilted and converged horizontal vorticity that is baroclinically generated in the upper levels (above 10 km) immediately downstream of the overshooting top. This baroclinic generation would not be possible without a strong and sustained updraft, implying an indirect relationship to rotationally-maintained supercells. Furthermore, it is demonstrated that CTV couplets derived with optical flow algorithms originate from actual rotation within the storm anvils in the case studies explored here, though supercells with opaque above anvil cirrus plumes and strong anvil-level negative vertical wind shear may produce rotation signals as an artifact without quality control. Artifact identification and quality control is discussed further here for future research and operations use.</abstract><cop>Washington</cop><pub>American Meteorological Society</pub><doi>10.1175/MWR-D-20-0209.1</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0027-0644
ispartof Monthly weather review, 2021-06, Vol.149 (6), p.1827
issn 0027-0644
1520-0493
language eng
recordid cdi_proquest_journals_2676129914
source EZB Electronic Journals Library
subjects Algorithms
Anvil clouds
Anvils
Artifact identification
Case studies
Clouds
Convection
GOES satellites
Imagery
Kinematics
Mathematical models
Numerical models
Numerical simulations
Optical flow (image analysis)
Optical illusions
Plumes
Quality control
Rotation
Satellite imagery
Sequences
Severe thunderstorms
Spaceborne remote sensing
Stereoscopy
Storms
Supercells
Thunderstorms
Updraft
Vertical vorticity
Vertical wind shear
Vorticity
Wind
Wind shear
title On the Origin of Rotation Derived from Super Rapid Scan Satellite Imagery at the Cloud-Tops of Severe Deep Convection
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T00%3A42%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20the%20Origin%20of%20Rotation%20Derived%20from%20Super%20Rapid%20Scan%20Satellite%20Imagery%20at%20the%20Cloud-Tops%20of%20Severe%20Deep%20Convection&rft.jtitle=Monthly%20weather%20review&rft.au=Apke,%20Jason%20M.&rft.date=2021-06-01&rft.volume=149&rft.issue=6&rft.spage=1827&rft.pages=1827-&rft.issn=0027-0644&rft.eissn=1520-0493&rft_id=info:doi/10.1175/MWR-D-20-0209.1&rft_dat=%3Cproquest_cross%3E2676129914%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c194t-ca96ecc7dc5d28cfe37f83b758a717be84e329876499b378463876a2c31806053%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2676129914&rft_id=info:pmid/&rfr_iscdi=true