Sensitivity and Predictability of an Extreme Rainfall Event in Sulawesi, Indonesia
The Makassar Peninsula in southwestern Sulawesi, Indonesia, experienced its largest flood in its recorded history in January 2019. Four-day accumulated rainfall exceeded 350 mm with devastating impacts on the community, including 53 perished and over 14000 evacuated. Previous studies find a convecti...
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Veröffentlicht in: | SOLA 2023, Vol.19A(Special_Edition), pp.17-26 |
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description | The Makassar Peninsula in southwestern Sulawesi, Indonesia, experienced its largest flood in its recorded history in January 2019. Four-day accumulated rainfall exceeded 350 mm with devastating impacts on the community, including 53 perished and over 14000 evacuated. Previous studies find a convectively coupled Kelvin wave and convectively coupled equatorial Rossby wave associated with the Madden-Julian Oscillation to be likely contributors to the onset of the mesoscale convective system responsible for the flooding. We employ an adjoint model to identify and dynamically link specific components of the mesoscale and environmental flow affecting the flooding event. The adjoint simulations indicate that enhancing the moisture and low-level convergence associated with the mesoscale convective system can substantially increase rainfall. The sensitivity patterns are complex, with low-level convergence and vorticity sensitivity in quadrature and projecting onto the larger-scale Kelvin and Rossby waves. The vorticity sensitivity enhances waves along the dynamic equator. Small adjoint-based perturbations made to the initial state can increase the 36-h rainfall maximum by greater than 30%. The sensitivity analysis supports the importance of a mesoscale convective system, orographic ascent, and equatorial wave components in contributing to the flood. The rapid growth of small initial perturbations underscores the need for probabilistic forecasts. |
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Four-day accumulated rainfall exceeded 350 mm with devastating impacts on the community, including 53 perished and over 14000 evacuated. Previous studies find a convectively coupled Kelvin wave and convectively coupled equatorial Rossby wave associated with the Madden-Julian Oscillation to be likely contributors to the onset of the mesoscale convective system responsible for the flooding. We employ an adjoint model to identify and dynamically link specific components of the mesoscale and environmental flow affecting the flooding event. The adjoint simulations indicate that enhancing the moisture and low-level convergence associated with the mesoscale convective system can substantially increase rainfall. The sensitivity patterns are complex, with low-level convergence and vorticity sensitivity in quadrature and projecting onto the larger-scale Kelvin and Rossby waves. The vorticity sensitivity enhances waves along the dynamic equator. Small adjoint-based perturbations made to the initial state can increase the 36-h rainfall maximum by greater than 30%. The sensitivity analysis supports the importance of a mesoscale convective system, orographic ascent, and equatorial wave components in contributing to the flood. The rapid growth of small initial perturbations underscores the need for probabilistic forecasts.</description><identifier>ISSN: 1349-6476</identifier><identifier>EISSN: 1349-6476</identifier><identifier>DOI: 10.2151/sola.19A-003</identifier><language>eng ; jpn</language><publisher>Tokyo: Meteorological Society of Japan</publisher><subject>Components ; Convergence ; Equatorial waves ; Extreme weather ; Flooding ; Floods ; Kelvin waves ; Madden-Julian oscillation ; Mesoscale convective systems ; Perturbations ; Planetary waves ; Precipitation ; Rainfall ; Rossby waves ; Sensitivity analysis ; Vorticity</subject><ispartof>SOLA, 2023, Vol.19A(Special_Edition), pp.17-26</ispartof><rights>The Author(s) 2023. 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Small adjoint-based perturbations made to the initial state can increase the 36-h rainfall maximum by greater than 30%. The sensitivity analysis supports the importance of a mesoscale convective system, orographic ascent, and equatorial wave components in contributing to the flood. The rapid growth of small initial perturbations underscores the need for probabilistic forecasts.</description><subject>Components</subject><subject>Convergence</subject><subject>Equatorial waves</subject><subject>Extreme weather</subject><subject>Flooding</subject><subject>Floods</subject><subject>Kelvin waves</subject><subject>Madden-Julian oscillation</subject><subject>Mesoscale convective systems</subject><subject>Perturbations</subject><subject>Planetary waves</subject><subject>Precipitation</subject><subject>Rainfall</subject><subject>Rossby waves</subject><subject>Sensitivity analysis</subject><subject>Vorticity</subject><issn>1349-6476</issn><issn>1349-6476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpNkFFLwzAUhYsoOObe_AEBX9eZLE2aPI5RdTBQNn0OaXOrGV06k266f2_mxvTpHg4f58KXJLcEj8aEkfvQNnpE5CTFmF4kPUIzmfIs55f_8nUyCMGWGDOJicS4lyyW4ILt7M52e6SdQS8ejK06XdrmULV1bFHx3XlYA1po62rdNKjYgeuQdWi5bfQXBDtEM2daF5O-Sa4iE2Bwuv3k7aF4nT6l8-fH2XQyTyuaZTSVTGAOWI91BcJwQUDmTPCcME6lNtIA0FLUbAw0Z3Wei5wzQgyUBguOsaD95O64u_Ht5xZCp1bt1rv4UlFCslwKLrNIDY9U5dsQPNRq4-1a-70iWB3EqYM4FcWpKC7iiyO-Cp1-hzOsfWerBv7g5QYqqxtVmGivdb_daeQMVx_aK3D0BydVfm4</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Doyle, James D.</creator><creator>Reynolds, Carolyn A.</creator><creator>Flatau, Maria</creator><creator>Latos, Beata</creator><general>Meteorological Society of Japan</general><general>Japan Science and Technology Agency</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>2023</creationdate><title>Sensitivity and Predictability of an Extreme Rainfall Event in Sulawesi, Indonesia</title><author>Doyle, James D. ; Reynolds, Carolyn A. ; Flatau, Maria ; Latos, Beata</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3443-95806e0a2ace8d681e97586715639ad9dee3b8f52e375f77876511debd0860083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; jpn</language><creationdate>2023</creationdate><topic>Components</topic><topic>Convergence</topic><topic>Equatorial waves</topic><topic>Extreme weather</topic><topic>Flooding</topic><topic>Floods</topic><topic>Kelvin waves</topic><topic>Madden-Julian oscillation</topic><topic>Mesoscale convective systems</topic><topic>Perturbations</topic><topic>Planetary waves</topic><topic>Precipitation</topic><topic>Rainfall</topic><topic>Rossby waves</topic><topic>Sensitivity analysis</topic><topic>Vorticity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Doyle, James D.</creatorcontrib><creatorcontrib>Reynolds, Carolyn A.</creatorcontrib><creatorcontrib>Flatau, Maria</creatorcontrib><creatorcontrib>Latos, Beata</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>SOLA</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Doyle, James D.</au><au>Reynolds, Carolyn A.</au><au>Flatau, Maria</au><au>Latos, Beata</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensitivity and Predictability of an Extreme Rainfall Event in Sulawesi, Indonesia</atitle><jtitle>SOLA</jtitle><addtitle>SOLA</addtitle><date>2023</date><risdate>2023</risdate><volume>19A</volume><issue>Special_Edition</issue><spage>17</spage><epage>26</epage><pages>17-26</pages><artnum>19A-003</artnum><issn>1349-6476</issn><eissn>1349-6476</eissn><abstract>The Makassar Peninsula in southwestern Sulawesi, Indonesia, experienced its largest flood in its recorded history in January 2019. Four-day accumulated rainfall exceeded 350 mm with devastating impacts on the community, including 53 perished and over 14000 evacuated. Previous studies find a convectively coupled Kelvin wave and convectively coupled equatorial Rossby wave associated with the Madden-Julian Oscillation to be likely contributors to the onset of the mesoscale convective system responsible for the flooding. We employ an adjoint model to identify and dynamically link specific components of the mesoscale and environmental flow affecting the flooding event. The adjoint simulations indicate that enhancing the moisture and low-level convergence associated with the mesoscale convective system can substantially increase rainfall. The sensitivity patterns are complex, with low-level convergence and vorticity sensitivity in quadrature and projecting onto the larger-scale Kelvin and Rossby waves. The vorticity sensitivity enhances waves along the dynamic equator. Small adjoint-based perturbations made to the initial state can increase the 36-h rainfall maximum by greater than 30%. The sensitivity analysis supports the importance of a mesoscale convective system, orographic ascent, and equatorial wave components in contributing to the flood. The rapid growth of small initial perturbations underscores the need for probabilistic forecasts.</abstract><cop>Tokyo</cop><pub>Meteorological Society of Japan</pub><doi>10.2151/sola.19A-003</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Components Convergence Equatorial waves Extreme weather Flooding Floods Kelvin waves Madden-Julian oscillation Mesoscale convective systems Perturbations Planetary waves Precipitation Rainfall Rossby waves Sensitivity analysis Vorticity |
title | Sensitivity and Predictability of an Extreme Rainfall Event in Sulawesi, Indonesia |
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