Linking Flood Frequency With Mesoscale Convective Systems in the US

Mesoscale convective systems (MCSs) with larger rain areas and higher rainfall intensity than non‐MCS events can produce severe flooding. Flooding occurrences associated with MCS and non‐MCS rainfall in the US east of 110°W are examined by linking a high‐resolution MCS data set and reported floods i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Geophysical research letters 2021-05, Vol.48 (9), p.n/a
Hauptverfasser: Hu, Huancui, Feng, Zhe, Leung, Lai‐Yung Ruby
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page n/a
container_issue 9
container_start_page
container_title Geophysical research letters
container_volume 48
creator Hu, Huancui
Feng, Zhe
Leung, Lai‐Yung Ruby
description Mesoscale convective systems (MCSs) with larger rain areas and higher rainfall intensity than non‐MCS events can produce severe flooding. Flooding occurrences associated with MCS and non‐MCS rainfall in the US east of 110°W are examined by linking a high‐resolution MCS data set and reported floods in the warm season (April‐August) between 2007 and 2017. MCSs account for the majority of slow‐rising and hybrid floods, while non‐MCS rainfall explains about half of flash floods in July and August as individual thunderstorms occur frequently in the Rocky Mountains and Appalachian Mountains. The event‐total rainfall area of MCSs is the dominant factor of flood occurrences: MCSs with greater rainfall areas tend to produce more floods. While not related to flood frequency, propagating MCSs tend to produce flash floods with longer durations. These established links can improve our confidence in interpreting flood risks and their future changes due to changes in MCS characteristics with warming. Plain Language Summary Severe floods in the central US with significant socioeconomic impacts have been attributed to mesoscale convective systems (MCSs), a form of organized deep convection. However, the relationship between flood likelihood and MCSs is not well established. The goal of this study is to quantify the likelihood of floods in association with MCSs and how flooding occurrences can be affected by MCS characteristics. We found that the majority of floods in the warm season (April–August) in the central US are associated with MCSs, but flash floods in July and August are also commonly associated with non‐MCS storms that occur frequently in mountainous areas and produce locally intense rainfall. More importantly, we found a predominant role of storm‐total rainfall area on flood occurrence because flood‐producing MCSs have significantly larger rainfall area than non‐flood producing MCSs, and flood occurrences increase with MCS rainfall area. The identified critical role of MCS rainfall area on flood occurrences may improve projections of flood risk changes in response to warming‐induced MCS changes in the future. Key Points Mesoscale convective systems account for most of the slow‐rising and hybrid floods during the warm season in the central US Half of the flash floods in July and August are related to isolated convection occurring frequently and producing locally intense rainfall Mesoscale convective systems with larger rainfall area can produce more floods while
doi_str_mv 10.1029/2021GL092546
format Article
fullrecord <record><control><sourceid>wiley_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_1780822</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>GRL62348</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3438-cb442643cf9bf867c0a0188aa9617c3c4d4d869602526067297c1aae6c808ba43</originalsourceid><addsrcrecordid>eNp90L1OwzAUBWALgUQpbDyAxUzg-qeOPaKIFqQgJErFaLm3DjWkDsRpUd6eoDIwMZ0zfLq6OoScM7hiwM01B85mJRg-keqAjJiRMtMA-SEZAZih81wdk5OU3gBAgGAjUpQhvof4Sqd106zotPWfWx-xpy-hW9MHn5qErva0aOLOYxd2ns771PlNoiHSbu3pYn5KjipXJ3_2m2OymN4-F3dZ-Ti7L27KDIUUOsOllFxJgZVZVlrlCA6Y1s4ZxXIUKFdypZVRwCdcgcq5yZE55xVq0EsnxZhc7O82qQs2Yeg8rrGJcXjMsnxQnA_oco-wbVJqfWU_2rBxbW8Z2J-V7N-VBs73_CvUvv_X2tlTqbiQWnwD_klmeQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Linking Flood Frequency With Mesoscale Convective Systems in the US</title><source>Wiley-Blackwell AGU Digital Library</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Wiley Online Library Free Content</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Hu, Huancui ; Feng, Zhe ; Leung, Lai‐Yung Ruby</creator><creatorcontrib>Hu, Huancui ; Feng, Zhe ; Leung, Lai‐Yung Ruby ; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center</creatorcontrib><description>Mesoscale convective systems (MCSs) with larger rain areas and higher rainfall intensity than non‐MCS events can produce severe flooding. Flooding occurrences associated with MCS and non‐MCS rainfall in the US east of 110°W are examined by linking a high‐resolution MCS data set and reported floods in the warm season (April‐August) between 2007 and 2017. MCSs account for the majority of slow‐rising and hybrid floods, while non‐MCS rainfall explains about half of flash floods in July and August as individual thunderstorms occur frequently in the Rocky Mountains and Appalachian Mountains. The event‐total rainfall area of MCSs is the dominant factor of flood occurrences: MCSs with greater rainfall areas tend to produce more floods. While not related to flood frequency, propagating MCSs tend to produce flash floods with longer durations. These established links can improve our confidence in interpreting flood risks and their future changes due to changes in MCS characteristics with warming. Plain Language Summary Severe floods in the central US with significant socioeconomic impacts have been attributed to mesoscale convective systems (MCSs), a form of organized deep convection. However, the relationship between flood likelihood and MCSs is not well established. The goal of this study is to quantify the likelihood of floods in association with MCSs and how flooding occurrences can be affected by MCS characteristics. We found that the majority of floods in the warm season (April–August) in the central US are associated with MCSs, but flash floods in July and August are also commonly associated with non‐MCS storms that occur frequently in mountainous areas and produce locally intense rainfall. More importantly, we found a predominant role of storm‐total rainfall area on flood occurrence because flood‐producing MCSs have significantly larger rainfall area than non‐flood producing MCSs, and flood occurrences increase with MCS rainfall area. The identified critical role of MCS rainfall area on flood occurrences may improve projections of flood risk changes in response to warming‐induced MCS changes in the future. Key Points Mesoscale convective systems account for most of the slow‐rising and hybrid floods during the warm season in the central US Half of the flash floods in July and August are related to isolated convection occurring frequently and producing locally intense rainfall Mesoscale convective systems with larger rainfall area can produce more floods while propagation enhances the duration of flash floods</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2021GL092546</identifier><language>eng</language><publisher>United States: American Geophysical Union</publisher><subject>climatology ; ENVIRONMENTAL SCIENCES ; floods ; mesoscale convective systems</subject><ispartof>Geophysical research letters, 2021-05, Vol.48 (9), p.n/a</ispartof><rights>2021. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3438-cb442643cf9bf867c0a0188aa9617c3c4d4d869602526067297c1aae6c808ba43</citedby><cites>FETCH-LOGICAL-c3438-cb442643cf9bf867c0a0188aa9617c3c4d4d869602526067297c1aae6c808ba43</cites><orcidid>0000-0002-4276-1890 ; 0000-0002-7540-9017 ; 0000-0002-3221-9467 ; 0000000242761890 ; 0000000275409017 ; 0000000232219467</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2021GL092546$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2021GL092546$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,11493,27901,27902,45550,45551,46384,46443,46808,46867</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1780822$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Huancui</creatorcontrib><creatorcontrib>Feng, Zhe</creatorcontrib><creatorcontrib>Leung, Lai‐Yung Ruby</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center</creatorcontrib><title>Linking Flood Frequency With Mesoscale Convective Systems in the US</title><title>Geophysical research letters</title><description>Mesoscale convective systems (MCSs) with larger rain areas and higher rainfall intensity than non‐MCS events can produce severe flooding. Flooding occurrences associated with MCS and non‐MCS rainfall in the US east of 110°W are examined by linking a high‐resolution MCS data set and reported floods in the warm season (April‐August) between 2007 and 2017. MCSs account for the majority of slow‐rising and hybrid floods, while non‐MCS rainfall explains about half of flash floods in July and August as individual thunderstorms occur frequently in the Rocky Mountains and Appalachian Mountains. The event‐total rainfall area of MCSs is the dominant factor of flood occurrences: MCSs with greater rainfall areas tend to produce more floods. While not related to flood frequency, propagating MCSs tend to produce flash floods with longer durations. These established links can improve our confidence in interpreting flood risks and their future changes due to changes in MCS characteristics with warming. Plain Language Summary Severe floods in the central US with significant socioeconomic impacts have been attributed to mesoscale convective systems (MCSs), a form of organized deep convection. However, the relationship between flood likelihood and MCSs is not well established. The goal of this study is to quantify the likelihood of floods in association with MCSs and how flooding occurrences can be affected by MCS characteristics. We found that the majority of floods in the warm season (April–August) in the central US are associated with MCSs, but flash floods in July and August are also commonly associated with non‐MCS storms that occur frequently in mountainous areas and produce locally intense rainfall. More importantly, we found a predominant role of storm‐total rainfall area on flood occurrence because flood‐producing MCSs have significantly larger rainfall area than non‐flood producing MCSs, and flood occurrences increase with MCS rainfall area. The identified critical role of MCS rainfall area on flood occurrences may improve projections of flood risk changes in response to warming‐induced MCS changes in the future. Key Points Mesoscale convective systems account for most of the slow‐rising and hybrid floods during the warm season in the central US Half of the flash floods in July and August are related to isolated convection occurring frequently and producing locally intense rainfall Mesoscale convective systems with larger rainfall area can produce more floods while propagation enhances the duration of flash floods</description><subject>climatology</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>floods</subject><subject>mesoscale convective systems</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp90L1OwzAUBWALgUQpbDyAxUzg-qeOPaKIFqQgJErFaLm3DjWkDsRpUd6eoDIwMZ0zfLq6OoScM7hiwM01B85mJRg-keqAjJiRMtMA-SEZAZih81wdk5OU3gBAgGAjUpQhvof4Sqd106zotPWfWx-xpy-hW9MHn5qErva0aOLOYxd2ns771PlNoiHSbu3pYn5KjipXJ3_2m2OymN4-F3dZ-Ti7L27KDIUUOsOllFxJgZVZVlrlCA6Y1s4ZxXIUKFdypZVRwCdcgcq5yZE55xVq0EsnxZhc7O82qQs2Yeg8rrGJcXjMsnxQnA_oco-wbVJqfWU_2rBxbW8Z2J-V7N-VBs73_CvUvv_X2tlTqbiQWnwD_klmeQ</recordid><startdate>20210516</startdate><enddate>20210516</enddate><creator>Hu, Huancui</creator><creator>Feng, Zhe</creator><creator>Leung, Lai‐Yung Ruby</creator><general>American Geophysical Union</general><scope>AAYXX</scope><scope>CITATION</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0002-4276-1890</orcidid><orcidid>https://orcid.org/0000-0002-7540-9017</orcidid><orcidid>https://orcid.org/0000-0002-3221-9467</orcidid><orcidid>https://orcid.org/0000000242761890</orcidid><orcidid>https://orcid.org/0000000275409017</orcidid><orcidid>https://orcid.org/0000000232219467</orcidid></search><sort><creationdate>20210516</creationdate><title>Linking Flood Frequency With Mesoscale Convective Systems in the US</title><author>Hu, Huancui ; Feng, Zhe ; Leung, Lai‐Yung Ruby</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3438-cb442643cf9bf867c0a0188aa9617c3c4d4d869602526067297c1aae6c808ba43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>climatology</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>floods</topic><topic>mesoscale convective systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Huancui</creatorcontrib><creatorcontrib>Feng, Zhe</creatorcontrib><creatorcontrib>Leung, Lai‐Yung Ruby</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center</creatorcontrib><collection>CrossRef</collection><collection>OSTI.GOV</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Huancui</au><au>Feng, Zhe</au><au>Leung, Lai‐Yung Ruby</au><aucorp>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Linking Flood Frequency With Mesoscale Convective Systems in the US</atitle><jtitle>Geophysical research letters</jtitle><date>2021-05-16</date><risdate>2021</risdate><volume>48</volume><issue>9</issue><epage>n/a</epage><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>Mesoscale convective systems (MCSs) with larger rain areas and higher rainfall intensity than non‐MCS events can produce severe flooding. Flooding occurrences associated with MCS and non‐MCS rainfall in the US east of 110°W are examined by linking a high‐resolution MCS data set and reported floods in the warm season (April‐August) between 2007 and 2017. MCSs account for the majority of slow‐rising and hybrid floods, while non‐MCS rainfall explains about half of flash floods in July and August as individual thunderstorms occur frequently in the Rocky Mountains and Appalachian Mountains. The event‐total rainfall area of MCSs is the dominant factor of flood occurrences: MCSs with greater rainfall areas tend to produce more floods. While not related to flood frequency, propagating MCSs tend to produce flash floods with longer durations. These established links can improve our confidence in interpreting flood risks and their future changes due to changes in MCS characteristics with warming. Plain Language Summary Severe floods in the central US with significant socioeconomic impacts have been attributed to mesoscale convective systems (MCSs), a form of organized deep convection. However, the relationship between flood likelihood and MCSs is not well established. The goal of this study is to quantify the likelihood of floods in association with MCSs and how flooding occurrences can be affected by MCS characteristics. We found that the majority of floods in the warm season (April–August) in the central US are associated with MCSs, but flash floods in July and August are also commonly associated with non‐MCS storms that occur frequently in mountainous areas and produce locally intense rainfall. More importantly, we found a predominant role of storm‐total rainfall area on flood occurrence because flood‐producing MCSs have significantly larger rainfall area than non‐flood producing MCSs, and flood occurrences increase with MCS rainfall area. The identified critical role of MCS rainfall area on flood occurrences may improve projections of flood risk changes in response to warming‐induced MCS changes in the future. Key Points Mesoscale convective systems account for most of the slow‐rising and hybrid floods during the warm season in the central US Half of the flash floods in July and August are related to isolated convection occurring frequently and producing locally intense rainfall Mesoscale convective systems with larger rainfall area can produce more floods while propagation enhances the duration of flash floods</abstract><cop>United States</cop><pub>American Geophysical Union</pub><doi>10.1029/2021GL092546</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-4276-1890</orcidid><orcidid>https://orcid.org/0000-0002-7540-9017</orcidid><orcidid>https://orcid.org/0000-0002-3221-9467</orcidid><orcidid>https://orcid.org/0000000242761890</orcidid><orcidid>https://orcid.org/0000000275409017</orcidid><orcidid>https://orcid.org/0000000232219467</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0094-8276
ispartof Geophysical research letters, 2021-05, Vol.48 (9), p.n/a
issn 0094-8276
1944-8007
language eng
recordid cdi_osti_scitechconnect_1780822
source Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; Wiley Online Library Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects climatology
ENVIRONMENTAL SCIENCES
floods
mesoscale convective systems
title Linking Flood Frequency With Mesoscale Convective Systems in the US
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T05%3A07%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wiley_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Linking%20Flood%20Frequency%20With%20Mesoscale%20Convective%20Systems%20in%20the%20US&rft.jtitle=Geophysical%20research%20letters&rft.au=Hu,%20Huancui&rft.aucorp=Oak%20Ridge%20National%20Lab.%20(ORNL),%20Oak%20Ridge,%20TN%20(United%20States).%20Atmospheric%20Radiation%20Measurement%20(ARM)%20Data%20Center&rft.date=2021-05-16&rft.volume=48&rft.issue=9&rft.epage=n/a&rft.issn=0094-8276&rft.eissn=1944-8007&rft_id=info:doi/10.1029/2021GL092546&rft_dat=%3Cwiley_osti_%3EGRL62348%3C/wiley_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true