A climatology of daily synoptic circulation patterns and associated surface meteorology over southern South America
Synoptic circulation patterns, defined as anomalies in sea level pressure (SLP), 500 hPa geopotential height (Z500), and 250 hPa wind speed (V250) and referred to as large-scale meteorological patterns (LSMPs), are characterized using the self-organizing maps approach over southern South America. Re...
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| Veröffentlicht in: | Climate dynamics 2019-10, Vol.53 (7-8), p.4019-4035 |
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| creator | Loikith, Paul C. Pampuch, Luana Albertani Slinskey, Emily Detzer, Judah Mechoso, Carlos R. Barkhordarian, Armineh |
| description | Synoptic circulation patterns, defined as anomalies in sea level pressure (SLP), 500 hPa geopotential height (Z500), and 250 hPa wind speed (V250) and referred to as large-scale meteorological patterns (LSMPs), are characterized using the self-organizing maps approach over southern South America. Results show a wide range of possible LSMP types over a 37-year period of study. LSMP type variability can be summarized as a spectrum from patterns dominated by positive SLP and Z500 anomalies with a poleward displacement of the strongest 250 hPa winds, to patterns dominated by similar structures but with anomalies of opposite sign. The LSMPs found are connected with lower tropospheric temperature and wind, precipitation, and the frequency of atmospheric rivers (ARs). This highlights LSMPs more closely associated with anomalous and potentially impactful surface meteorology. Results show ARs as primary drivers of heavy precipitation over some of the region and connect their occurrence to driving synoptic dynamics. Two important low frequency modes of climate variability, the Southern Annular Mode (SAM) and the El Nino Southern Oscillation (ENSO), show some influence on the frequency of LSMP type, with the SAM more directly related to LSMP type modulation than ENSO. This comprehensive climatology of synoptic variability across southern South America has potential to aid in a mechanistic approach to studying climate change projections of temperature, precipitation, and AR frequency in climate models. |
| doi_str_mv | 10.1007/s00382-019-04768-3 |
| format | Article |
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Results show a wide range of possible LSMP types over a 37-year period of study. LSMP type variability can be summarized as a spectrum from patterns dominated by positive SLP and Z500 anomalies with a poleward displacement of the strongest 250 hPa winds, to patterns dominated by similar structures but with anomalies of opposite sign. The LSMPs found are connected with lower tropospheric temperature and wind, precipitation, and the frequency of atmospheric rivers (ARs). This highlights LSMPs more closely associated with anomalous and potentially impactful surface meteorology. Results show ARs as primary drivers of heavy precipitation over some of the region and connect their occurrence to driving synoptic dynamics. Two important low frequency modes of climate variability, the Southern Annular Mode (SAM) and the El Nino Southern Oscillation (ENSO), show some influence on the frequency of LSMP type, with the SAM more directly related to LSMP type modulation than ENSO. This comprehensive climatology of synoptic variability across southern South America has potential to aid in a mechanistic approach to studying climate change projections of temperature, precipitation, and AR frequency in climate models.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-019-04768-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analysis ; Anomalies ; Antarctic Oscillation ; Atmospheric models ; Circulation patterns ; Climate ; Climate change ; Climate models ; Climate studies ; Climate variability ; Climatology ; Dynamic height ; Dynamics ; Earth and Environmental Science ; Earth Sciences ; El Nino ; El Nino phenomena ; El Nino-Southern Oscillation event ; Geophysics/Geodesy ; Geopotential ; Geopotential height ; Global temperature changes ; Heavy precipitation ; Meteorology ; Oceanography ; Precipitation ; Precipitation (Meteorology) ; Sea level ; Sea level anomalies ; Sea level pressure ; Self organizing maps ; Southern Oscillation ; Temperature ; Variability ; Wind ; Wind speed ; Winds</subject><ispartof>Climate dynamics, 2019-10, Vol.53 (7-8), p.4019-4035</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Climate Dynamics is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-50e930075f1cb452ccb205055ab4e8712b2725f42f9c72c903f84bf40371ece3</citedby><cites>FETCH-LOGICAL-c423t-50e930075f1cb452ccb205055ab4e8712b2725f42f9c72c903f84bf40371ece3</cites><orcidid>0000-0002-2352-0565</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/s00382-019-04768-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-019-04768-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Loikith, Paul C.</creatorcontrib><creatorcontrib>Pampuch, Luana Albertani</creatorcontrib><creatorcontrib>Slinskey, Emily</creatorcontrib><creatorcontrib>Detzer, Judah</creatorcontrib><creatorcontrib>Mechoso, Carlos R.</creatorcontrib><creatorcontrib>Barkhordarian, Armineh</creatorcontrib><title>A climatology of daily synoptic circulation patterns and associated surface meteorology over southern South America</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>Synoptic circulation patterns, defined as anomalies in sea level pressure (SLP), 500 hPa geopotential height (Z500), and 250 hPa wind speed (V250) and referred to as large-scale meteorological patterns (LSMPs), are characterized using the self-organizing maps approach over southern South America. 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This comprehensive climatology of synoptic variability across southern South America has potential to aid in a mechanistic approach to studying climate change projections of temperature, precipitation, and AR frequency in climate models.</description><subject>Analysis</subject><subject>Anomalies</subject><subject>Antarctic Oscillation</subject><subject>Atmospheric models</subject><subject>Circulation patterns</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climate studies</subject><subject>Climate variability</subject><subject>Climatology</subject><subject>Dynamic height</subject><subject>Dynamics</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>Geophysics/Geodesy</subject><subject>Geopotential</subject><subject>Geopotential height</subject><subject>Global temperature changes</subject><subject>Heavy precipitation</subject><subject>Meteorology</subject><subject>Oceanography</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Sea level</subject><subject>Sea level anomalies</subject><subject>Sea level pressure</subject><subject>Self organizing maps</subject><subject>Southern Oscillation</subject><subject>Temperature</subject><subject>Variability</subject><subject>Wind</subject><subject>Wind 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anomalies in sea level pressure (SLP), 500 hPa geopotential height (Z500), and 250 hPa wind speed (V250) and referred to as large-scale meteorological patterns (LSMPs), are characterized using the self-organizing maps approach over southern South America. Results show a wide range of possible LSMP types over a 37-year period of study. LSMP type variability can be summarized as a spectrum from patterns dominated by positive SLP and Z500 anomalies with a poleward displacement of the strongest 250 hPa winds, to patterns dominated by similar structures but with anomalies of opposite sign. The LSMPs found are connected with lower tropospheric temperature and wind, precipitation, and the frequency of atmospheric rivers (ARs). This highlights LSMPs more closely associated with anomalous and potentially impactful surface meteorology. Results show ARs as primary drivers of heavy precipitation over some of the region and connect their occurrence to driving synoptic dynamics. Two important low frequency modes of climate variability, the Southern Annular Mode (SAM) and the El Nino Southern Oscillation (ENSO), show some influence on the frequency of LSMP type, with the SAM more directly related to LSMP type modulation than ENSO. This comprehensive climatology of synoptic variability across southern South America has potential to aid in a mechanistic approach to studying climate change projections of temperature, precipitation, and AR frequency in climate models.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-019-04768-3</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-2352-0565</orcidid></addata></record> |
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| subjects | Analysis Anomalies Antarctic Oscillation Atmospheric models Circulation patterns Climate Climate change Climate models Climate studies Climate variability Climatology Dynamic height Dynamics Earth and Environmental Science Earth Sciences El Nino El Nino phenomena El Nino-Southern Oscillation event Geophysics/Geodesy Geopotential Geopotential height Global temperature changes Heavy precipitation Meteorology Oceanography Precipitation Precipitation (Meteorology) Sea level Sea level anomalies Sea level pressure Self organizing maps Southern Oscillation Temperature Variability Wind Wind speed Winds |
| title | A climatology of daily synoptic circulation patterns and associated surface meteorology over southern South America |
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