Madden–Julian Oscillation teleconnections to Australian springtime temperature extremes and their prediction in ACCESS-S1
We examine impacts of the Madden–Julian Oscillation (MJO) on Australian springtime temperatures and extremes, explore the mechanisms behind the teleconnections, and assess their prediction in retrospective forecasts using the Bureau of Meteorology’s ACCESS-S1 dynamical forecast system. The MJO incit...
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description | We examine impacts of the Madden–Julian Oscillation (MJO) on Australian springtime temperatures and extremes, explore the mechanisms behind the teleconnections, and assess their prediction in retrospective forecasts using the Bureau of Meteorology’s ACCESS-S1 dynamical forecast system. The MJO incites strong and significant warming across southern Australia in phases 2, 3 and 4 when its active convection propagates over the Indian Ocean and Maritime Continent. The heat signal appears strongest in south-eastern Australia during MJO phases 2 and 3 in the vicinity of a deep anticyclonic anomaly which brings warmer airflow to south-western Australia while promoting shortwave radiative heating in the southeast. This occurs as part of a Rossby wave train that emanates from the Indian Ocean and disperses across the Southern Hemisphere along a great circle route towards South America, in response to MJO convective heating on the equator. Importantly, we show the wave train emerges from the divergent outflow from anomalous MJO convection, rather than from the Rossby waves that exist within the MJO's baroclinic structure. Feedbacks between transient eddies and the low frequency flow to the south of Australia and southeast of South America reinforce the wave train in phases 1–3 but act against it during its demise in phase 4. The MJO is a source of subseasonal predictability of springtime heat and cold events over southern Australia in ACCESS-S1 at lead times of 2–4 weeks, yet there remains room for improvement in the model's depiction of the MJO and its teleconnection to the Southern Hemisphere. |
doi_str_mv | 10.1007/s00382-022-06586-6 |
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The MJO incites strong and significant warming across southern Australia in phases 2, 3 and 4 when its active convection propagates over the Indian Ocean and Maritime Continent. The heat signal appears strongest in south-eastern Australia during MJO phases 2 and 3 in the vicinity of a deep anticyclonic anomaly which brings warmer airflow to south-western Australia while promoting shortwave radiative heating in the southeast. This occurs as part of a Rossby wave train that emanates from the Indian Ocean and disperses across the Southern Hemisphere along a great circle route towards South America, in response to MJO convective heating on the equator. Importantly, we show the wave train emerges from the divergent outflow from anomalous MJO convection, rather than from the Rossby waves that exist within the MJO's baroclinic structure. Feedbacks between transient eddies and the low frequency flow to the south of Australia and southeast of South America reinforce the wave train in phases 1–3 but act against it during its demise in phase 4. The MJO is a source of subseasonal predictability of springtime heat and cold events over southern Australia in ACCESS-S1 at lead times of 2–4 weeks, yet there remains room for improvement in the model's depiction of the MJO and its teleconnection to the Southern Hemisphere.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-022-06586-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Air flow ; Analysis ; Australia ; Baroclinic flow ; Climate change ; Climatology ; cold ; Convection ; Convective heating ; Dynamic meteorology ; Earth and Environmental Science ; Earth Sciences ; Eddies ; Environmental aspects ; Equator ; Geophysics/Geodesy ; Great circles ; Heat ; Heating ; Indian Ocean ; Madden-Julian Oscillation ; Meteorology ; Methods ; Oceanography ; Oceans ; Outflow ; Phases ; Planetary waves ; prediction ; Radiation ; Radiative heating ; Rain ; Rossby waves ; South America ; Southern Hemisphere ; spring ; Teleconnections ; Teleconnections (Climatology) ; Temperature ; Temperature extremes ; Wave packets ; Wave trains ; Weather ; Weather forecasting</subject><ispartof>Climate dynamics, 2023-07, Vol.61 (1-2), p.431-447</ispartof><rights>Crown 2022</rights><rights>COPYRIGHT 2023 Springer</rights><rights>Crown 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-9bda545d1ac3d9e47d7a7a846d5f8f17daa4cdf0fc1836089f2c4c48bb20e923</citedby><cites>FETCH-LOGICAL-c456t-9bda545d1ac3d9e47d7a7a846d5f8f17daa4cdf0fc1836089f2c4c48bb20e923</cites><orcidid>0000-0003-4902-1462 ; 0000-0002-1158-2427 ; 0000-0002-4378-2263 ; 0000-0003-4353-0426</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00382-022-06586-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-022-06586-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Marshall, Andrew G.</creatorcontrib><creatorcontrib>Wang, Guomin</creatorcontrib><creatorcontrib>Hendon, Harry H.</creatorcontrib><creatorcontrib>Lin, Hai</creatorcontrib><title>Madden–Julian Oscillation teleconnections to Australian springtime temperature extremes and their prediction in ACCESS-S1</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>We examine impacts of the Madden–Julian Oscillation (MJO) on Australian springtime temperatures and extremes, explore the mechanisms behind the teleconnections, and assess their prediction in retrospective forecasts using the Bureau of Meteorology’s ACCESS-S1 dynamical forecast system. The MJO incites strong and significant warming across southern Australia in phases 2, 3 and 4 when its active convection propagates over the Indian Ocean and Maritime Continent. The heat signal appears strongest in south-eastern Australia during MJO phases 2 and 3 in the vicinity of a deep anticyclonic anomaly which brings warmer airflow to south-western Australia while promoting shortwave radiative heating in the southeast. This occurs as part of a Rossby wave train that emanates from the Indian Ocean and disperses across the Southern Hemisphere along a great circle route towards South America, in response to MJO convective heating on the equator. Importantly, we show the wave train emerges from the divergent outflow from anomalous MJO convection, rather than from the Rossby waves that exist within the MJO's baroclinic structure. Feedbacks between transient eddies and the low frequency flow to the south of Australia and southeast of South America reinforce the wave train in phases 1–3 but act against it during its demise in phase 4. The MJO is a source of subseasonal predictability of springtime heat and cold events over southern Australia in ACCESS-S1 at lead times of 2–4 weeks, yet there remains room for improvement in the model's depiction of the MJO and its teleconnection to the Southern Hemisphere.</description><subject>Air flow</subject><subject>Analysis</subject><subject>Australia</subject><subject>Baroclinic flow</subject><subject>Climate change</subject><subject>Climatology</subject><subject>cold</subject><subject>Convection</subject><subject>Convective heating</subject><subject>Dynamic meteorology</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Eddies</subject><subject>Environmental aspects</subject><subject>Equator</subject><subject>Geophysics/Geodesy</subject><subject>Great circles</subject><subject>Heat</subject><subject>Heating</subject><subject>Indian Ocean</subject><subject>Madden-Julian Oscillation</subject><subject>Meteorology</subject><subject>Methods</subject><subject>Oceanography</subject><subject>Oceans</subject><subject>Outflow</subject><subject>Phases</subject><subject>Planetary waves</subject><subject>prediction</subject><subject>Radiation</subject><subject>Radiative heating</subject><subject>Rain</subject><subject>Rossby waves</subject><subject>South America</subject><subject>Southern Hemisphere</subject><subject>spring</subject><subject>Teleconnections</subject><subject>Teleconnections (Climatology)</subject><subject>Temperature</subject><subject>Temperature extremes</subject><subject>Wave packets</subject><subject>Wave trains</subject><subject>Weather</subject><subject>Weather forecasting</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9ks-KFDEQxhtRcNz1BTwFBNFD7-Zfd9LHYdjVlZUFZ-8hk1TPZOlOxiQNyl58B9_QJzEzLeh4kBBChV8VVV99VfWK4AuCsbhMGDNJa0zLbRvZ1u2TakE4K6Hs-NNqgTuGa9GI5nn1IqUHjAlvBV1Uj5-0teB_fv_xcRqc9uguGTcMOrvgUYYBTPAezCFMKAe0nFKO-kimfXR-m90IBRz3EHWeIiD4miOMkJD2FuUduIj2Eaw71kDOo-VqdbVe12tyXj3r9ZDg5e_3rLq_vrpffahv797frJa3teFNm-tuY3XDG0u0YbYDLqzQQkve2qaXPRFWa25sj3tDJGvLvD013HC52VAMHWVn1du57D6GLxOkrEaXDJQhPYQpKYY55pSQjhf09T_oQ5iiL80pKqmQRUXaFupiprZ6AOV8H4okphwLoyt6Qe_K_1I0THaMUVkS3p0kFCYXmbZ6SkndrD-fsm_-Ynegh7xLYZiOGzgF6QyaGFKK0Kuyj1HHb4pgdTCFmk2hiinU0RTq0Dqbk-blQfwz4H-yfgEkZrri</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Marshall, Andrew G.</creator><creator>Wang, Guomin</creator><creator>Hendon, Harry H.</creator><creator>Lin, Hai</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M1Q</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0003-4902-1462</orcidid><orcidid>https://orcid.org/0000-0002-1158-2427</orcidid><orcidid>https://orcid.org/0000-0002-4378-2263</orcidid><orcidid>https://orcid.org/0000-0003-4353-0426</orcidid></search><sort><creationdate>20230701</creationdate><title>Madden–Julian Oscillation teleconnections to Australian springtime temperature extremes and their prediction in ACCESS-S1</title><author>Marshall, Andrew G. ; Wang, Guomin ; Hendon, Harry H. ; Lin, Hai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-9bda545d1ac3d9e47d7a7a846d5f8f17daa4cdf0fc1836089f2c4c48bb20e923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Air flow</topic><topic>Analysis</topic><topic>Australia</topic><topic>Baroclinic flow</topic><topic>Climate change</topic><topic>Climatology</topic><topic>cold</topic><topic>Convection</topic><topic>Convective heating</topic><topic>Dynamic meteorology</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Eddies</topic><topic>Environmental aspects</topic><topic>Equator</topic><topic>Geophysics/Geodesy</topic><topic>Great circles</topic><topic>Heat</topic><topic>Heating</topic><topic>Indian Ocean</topic><topic>Madden-Julian Oscillation</topic><topic>Meteorology</topic><topic>Methods</topic><topic>Oceanography</topic><topic>Oceans</topic><topic>Outflow</topic><topic>Phases</topic><topic>Planetary waves</topic><topic>prediction</topic><topic>Radiation</topic><topic>Radiative heating</topic><topic>Rain</topic><topic>Rossby waves</topic><topic>South America</topic><topic>Southern Hemisphere</topic><topic>spring</topic><topic>Teleconnections</topic><topic>Teleconnections (Climatology)</topic><topic>Temperature</topic><topic>Temperature extremes</topic><topic>Wave packets</topic><topic>Wave trains</topic><topic>Weather</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marshall, Andrew G.</creatorcontrib><creatorcontrib>Wang, Guomin</creatorcontrib><creatorcontrib>Hendon, Harry H.</creatorcontrib><creatorcontrib>Lin, Hai</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & 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>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & 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>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Military Database</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & 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>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Climate dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marshall, Andrew G.</au><au>Wang, Guomin</au><au>Hendon, Harry H.</au><au>Lin, Hai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Madden–Julian Oscillation teleconnections to Australian springtime temperature extremes and their prediction in ACCESS-S1</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2023-07-01</date><risdate>2023</risdate><volume>61</volume><issue>1-2</issue><spage>431</spage><epage>447</epage><pages>431-447</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><abstract>We examine impacts of the Madden–Julian Oscillation (MJO) on Australian springtime temperatures and extremes, explore the mechanisms behind the teleconnections, and assess their prediction in retrospective forecasts using the Bureau of Meteorology’s ACCESS-S1 dynamical forecast system. The MJO incites strong and significant warming across southern Australia in phases 2, 3 and 4 when its active convection propagates over the Indian Ocean and Maritime Continent. The heat signal appears strongest in south-eastern Australia during MJO phases 2 and 3 in the vicinity of a deep anticyclonic anomaly which brings warmer airflow to south-western Australia while promoting shortwave radiative heating in the southeast. This occurs as part of a Rossby wave train that emanates from the Indian Ocean and disperses across the Southern Hemisphere along a great circle route towards South America, in response to MJO convective heating on the equator. Importantly, we show the wave train emerges from the divergent outflow from anomalous MJO convection, rather than from the Rossby waves that exist within the MJO's baroclinic structure. Feedbacks between transient eddies and the low frequency flow to the south of Australia and southeast of South America reinforce the wave train in phases 1–3 but act against it during its demise in phase 4. The MJO is a source of subseasonal predictability of springtime heat and cold events over southern Australia in ACCESS-S1 at lead times of 2–4 weeks, yet there remains room for improvement in the model's depiction of the MJO and its teleconnection to the Southern Hemisphere.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-022-06586-6</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-4902-1462</orcidid><orcidid>https://orcid.org/0000-0002-1158-2427</orcidid><orcidid>https://orcid.org/0000-0002-4378-2263</orcidid><orcidid>https://orcid.org/0000-0003-4353-0426</orcidid></addata></record> |
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subjects | Air flow Analysis Australia Baroclinic flow Climate change Climatology cold Convection Convective heating Dynamic meteorology Earth and Environmental Science Earth Sciences Eddies Environmental aspects Equator Geophysics/Geodesy Great circles Heat Heating Indian Ocean Madden-Julian Oscillation Meteorology Methods Oceanography Oceans Outflow Phases Planetary waves prediction Radiation Radiative heating Rain Rossby waves South America Southern Hemisphere spring Teleconnections Teleconnections (Climatology) Temperature Temperature extremes Wave packets Wave trains Weather Weather forecasting |
title | Madden–Julian Oscillation teleconnections to Australian springtime temperature extremes and their prediction in ACCESS-S1 |
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