Multi‐scale features of the co‐variability between global sea surface temperature anomalies and daily extreme rainfall in Argentina
The goal of this study is to provide a better understanding of the trends and dominant oscillations characterizing the co‐variability between global sea surface temperature (SST) anomalies and daily extreme rainfall in Argentina. A singular value decomposition was performed between daily extreme rai...
Gespeichert in:
| Veröffentlicht in: | International journal of climatology 2020-07, Vol.40 (9), p.4289-4299 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 4299 |
|---|---|
| container_issue | 9 |
| container_start_page | 4289 |
| container_title | International journal of climatology |
| container_volume | 40 |
| creator | Robledo, Federico Vera, Carolina Penalba, Olga |
| description | The goal of this study is to provide a better understanding of the trends and dominant oscillations characterizing the co‐variability between global sea surface temperature (SST) anomalies and daily extreme rainfall in Argentina. A singular value decomposition was performed between daily extreme rainfall monthly index in Argentina and global SST without removing the trends. The three leading modes explain 70.5% of the co‐variability, while the two leading modes explain more than 66% of the variability. The two leading modes exhibit significant variability on inter‐annual timescales related to tropical Pacific and Indian oceans, and specifically with El Niño–Southern Oscillation and the Indian Ocean Dipole. On decadal timescales, the leading mode activity is related to the Pacific Decadal Oscillation, whereas the second leading mode is associated with the Atlantic Multi‐decadal Oscillation (AMO). The third leading mode show co‐variability between the SST of the tropical Atlantic and the Indian ocean and extreme rainfall in the eastern‐centre of Argentina; this mode distinguishes phases of AMO. In addition, the two leading modes show positive trends, being largely non‐linear for leading one. The fact that extreme rainfall changes in Argentina observed in the last decades, are significantly influenced by the combination of the multi‐decadal variability and long‐term trends associated with the tropical oceans, is valuable knowledge to assess them in the future.
The goal of this study is to provide a better understanding of the trends and dominant oscillations characterizing the co‐variability between global sea surface temperature (SST) anomalies and daily extreme rainfall in Argentina.The three leading modes explain 70.5% of the co‐variability, while the two leading modes explain more than 66% of the variability. The two leading modes exhibit significant variability on inter‐annual timescales related to tropical Pacific and Indian oceans, and specifically with El Niño–Southern Oscillation and the Indian Ocean Dipole. On decadal timescales, the leading mode activity is related to the Pacific Decadal Oscillation, whereas the second leading mode is associated with the Atlantic Multi‐decadal Oscillation (AMO). The fact that extreme rainfall changes in Argentina observed in the last decades, are significantly influenced by the combination of the multi‐decadal variability and long‐term trends associated with the tropical oceans. Mode 1: Maps of homogeneous correlat |
| doi_str_mv | 10.1002/joc.6462 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2419277799</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2419277799</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2932-a17971e9500d6e6e9802c1e23edbf4bfcd6744b5595ef3f614dd8858788cacc53</originalsourceid><addsrcrecordid>eNp1kL1OwzAUhS0EEqUg8QiWWFhS7PzaY1Xxq6IuMEc3znVx5SbFdoBsbKw8I09C2rIyHeme75wrHULOOZtwxuKrVasmeZrHB2TEmSwixoQ4JCMmpIxEysUxOfF-xRiTkucj8vXY2WB-Pr-9AotUI4TOoaetpuEFqWoH6w2cgcpYE3paYXhHbOjSthVY6hGo75wGhTTgeoNul6fQtGuwZiiCpqY1GNtT_AgO10gdmEaDtdQ0dOqW2ATTwCk5Gm4ez_50TJ5vrp9md9F8cXs_m84jFcskjoAXsuAoM8bqHHOUgsWKY5xgXem00qrOizStskxmqBOd87SuhchEIYQCpbJkTC72vRvXvnboQ7lqO9cML8s45TIuikLKgbrcU8q13jvU5caZNbi-5KzczjykVLmdeUCjPfpuLPb_cuXDYrbjfwHvZoLl</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2419277799</pqid></control><display><type>article</type><title>Multi‐scale features of the co‐variability between global sea surface temperature anomalies and daily extreme rainfall in Argentina</title><source>Wiley Online Library All Journals</source><creator>Robledo, Federico ; Vera, Carolina ; Penalba, Olga</creator><creatorcontrib>Robledo, Federico ; Vera, Carolina ; Penalba, Olga</creatorcontrib><description>The goal of this study is to provide a better understanding of the trends and dominant oscillations characterizing the co‐variability between global sea surface temperature (SST) anomalies and daily extreme rainfall in Argentina. A singular value decomposition was performed between daily extreme rainfall monthly index in Argentina and global SST without removing the trends. The three leading modes explain 70.5% of the co‐variability, while the two leading modes explain more than 66% of the variability. The two leading modes exhibit significant variability on inter‐annual timescales related to tropical Pacific and Indian oceans, and specifically with El Niño–Southern Oscillation and the Indian Ocean Dipole. On decadal timescales, the leading mode activity is related to the Pacific Decadal Oscillation, whereas the second leading mode is associated with the Atlantic Multi‐decadal Oscillation (AMO). The third leading mode show co‐variability between the SST of the tropical Atlantic and the Indian ocean and extreme rainfall in the eastern‐centre of Argentina; this mode distinguishes phases of AMO. In addition, the two leading modes show positive trends, being largely non‐linear for leading one. The fact that extreme rainfall changes in Argentina observed in the last decades, are significantly influenced by the combination of the multi‐decadal variability and long‐term trends associated with the tropical oceans, is valuable knowledge to assess them in the future.
The goal of this study is to provide a better understanding of the trends and dominant oscillations characterizing the co‐variability between global sea surface temperature (SST) anomalies and daily extreme rainfall in Argentina.The three leading modes explain 70.5% of the co‐variability, while the two leading modes explain more than 66% of the variability. The two leading modes exhibit significant variability on inter‐annual timescales related to tropical Pacific and Indian oceans, and specifically with El Niño–Southern Oscillation and the Indian Ocean Dipole. On decadal timescales, the leading mode activity is related to the Pacific Decadal Oscillation, whereas the second leading mode is associated with the Atlantic Multi‐decadal Oscillation (AMO). The fact that extreme rainfall changes in Argentina observed in the last decades, are significantly influenced by the combination of the multi‐decadal variability and long‐term trends associated with the tropical oceans. Mode 1: Maps of homogeneous correlation. (a) Correlation between the time series of the SST expansion coefficient and the SST grid points (shaded values significant at 1% according to Student's t test). (b) Correlation between the time series of the coefficient of expansion of DIER75 and precipitation stations (shaded dot values significant at 1% according to Student's t test). (c) Reconstruction of dominant periods of variability, time series of the coefficient of expansion of DIER75 (light black bar) and SST (black line). Non‐linear trend (green), 6 years reconstruction (blue) and 4 years reconstruction (red). The SD for each reconstruction time series is shown in brackets.</description><identifier>ISSN: 0899-8418</identifier><identifier>EISSN: 1097-0088</identifier><identifier>DOI: 10.1002/joc.6462</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Anomalies ; Argentina ; Daily ; daily rainfall ; Dipoles ; El Nino ; El Nino phenomena ; El Nino-Southern Oscillation event ; Extreme weather ; extremes ; Global temperatures ; Modes ; Monthly rainfall ; Oceans ; Oscillations ; Pacific Decadal Oscillation ; Rain ; Rainfall ; Sea surface ; Sea surface temperature ; Sea surface temperature anomalies ; Singular value decomposition ; Southern Oscillation ; Surface temperature ; Temperature anomalies ; Trends ; Tropical climate ; Variability</subject><ispartof>International journal of climatology, 2020-07, Vol.40 (9), p.4289-4299</ispartof><rights>2019 Royal Meteorological Society</rights><rights>2020 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2932-a17971e9500d6e6e9802c1e23edbf4bfcd6744b5595ef3f614dd8858788cacc53</citedby><cites>FETCH-LOGICAL-c2932-a17971e9500d6e6e9802c1e23edbf4bfcd6744b5595ef3f614dd8858788cacc53</cites><orcidid>0000-0002-3705-0883</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjoc.6462$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjoc.6462$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Robledo, Federico</creatorcontrib><creatorcontrib>Vera, Carolina</creatorcontrib><creatorcontrib>Penalba, Olga</creatorcontrib><title>Multi‐scale features of the co‐variability between global sea surface temperature anomalies and daily extreme rainfall in Argentina</title><title>International journal of climatology</title><description>The goal of this study is to provide a better understanding of the trends and dominant oscillations characterizing the co‐variability between global sea surface temperature (SST) anomalies and daily extreme rainfall in Argentina. A singular value decomposition was performed between daily extreme rainfall monthly index in Argentina and global SST without removing the trends. The three leading modes explain 70.5% of the co‐variability, while the two leading modes explain more than 66% of the variability. The two leading modes exhibit significant variability on inter‐annual timescales related to tropical Pacific and Indian oceans, and specifically with El Niño–Southern Oscillation and the Indian Ocean Dipole. On decadal timescales, the leading mode activity is related to the Pacific Decadal Oscillation, whereas the second leading mode is associated with the Atlantic Multi‐decadal Oscillation (AMO). The third leading mode show co‐variability between the SST of the tropical Atlantic and the Indian ocean and extreme rainfall in the eastern‐centre of Argentina; this mode distinguishes phases of AMO. In addition, the two leading modes show positive trends, being largely non‐linear for leading one. The fact that extreme rainfall changes in Argentina observed in the last decades, are significantly influenced by the combination of the multi‐decadal variability and long‐term trends associated with the tropical oceans, is valuable knowledge to assess them in the future.
The goal of this study is to provide a better understanding of the trends and dominant oscillations characterizing the co‐variability between global sea surface temperature (SST) anomalies and daily extreme rainfall in Argentina.The three leading modes explain 70.5% of the co‐variability, while the two leading modes explain more than 66% of the variability. The two leading modes exhibit significant variability on inter‐annual timescales related to tropical Pacific and Indian oceans, and specifically with El Niño–Southern Oscillation and the Indian Ocean Dipole. On decadal timescales, the leading mode activity is related to the Pacific Decadal Oscillation, whereas the second leading mode is associated with the Atlantic Multi‐decadal Oscillation (AMO). The fact that extreme rainfall changes in Argentina observed in the last decades, are significantly influenced by the combination of the multi‐decadal variability and long‐term trends associated with the tropical oceans. Mode 1: Maps of homogeneous correlation. (a) Correlation between the time series of the SST expansion coefficient and the SST grid points (shaded values significant at 1% according to Student's t test). (b) Correlation between the time series of the coefficient of expansion of DIER75 and precipitation stations (shaded dot values significant at 1% according to Student's t test). (c) Reconstruction of dominant periods of variability, time series of the coefficient of expansion of DIER75 (light black bar) and SST (black line). Non‐linear trend (green), 6 years reconstruction (blue) and 4 years reconstruction (red). The SD for each reconstruction time series is shown in brackets.</description><subject>Anomalies</subject><subject>Argentina</subject><subject>Daily</subject><subject>daily rainfall</subject><subject>Dipoles</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>Extreme weather</subject><subject>extremes</subject><subject>Global temperatures</subject><subject>Modes</subject><subject>Monthly rainfall</subject><subject>Oceans</subject><subject>Oscillations</subject><subject>Pacific Decadal Oscillation</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Sea surface temperature anomalies</subject><subject>Singular value decomposition</subject><subject>Southern Oscillation</subject><subject>Surface temperature</subject><subject>Temperature anomalies</subject><subject>Trends</subject><subject>Tropical climate</subject><subject>Variability</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kL1OwzAUhS0EEqUg8QiWWFhS7PzaY1Xxq6IuMEc3znVx5SbFdoBsbKw8I09C2rIyHeme75wrHULOOZtwxuKrVasmeZrHB2TEmSwixoQ4JCMmpIxEysUxOfF-xRiTkucj8vXY2WB-Pr-9AotUI4TOoaetpuEFqWoH6w2cgcpYE3paYXhHbOjSthVY6hGo75wGhTTgeoNul6fQtGuwZiiCpqY1GNtT_AgO10gdmEaDtdQ0dOqW2ATTwCk5Gm4ez_50TJ5vrp9md9F8cXs_m84jFcskjoAXsuAoM8bqHHOUgsWKY5xgXem00qrOizStskxmqBOd87SuhchEIYQCpbJkTC72vRvXvnboQ7lqO9cML8s45TIuikLKgbrcU8q13jvU5caZNbi-5KzczjykVLmdeUCjPfpuLPb_cuXDYrbjfwHvZoLl</recordid><startdate>202007</startdate><enddate>202007</enddate><creator>Robledo, Federico</creator><creator>Vera, Carolina</creator><creator>Penalba, Olga</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</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><orcidid>https://orcid.org/0000-0002-3705-0883</orcidid></search><sort><creationdate>202007</creationdate><title>Multi‐scale features of the co‐variability between global sea surface temperature anomalies and daily extreme rainfall in Argentina</title><author>Robledo, Federico ; Vera, Carolina ; Penalba, Olga</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2932-a17971e9500d6e6e9802c1e23edbf4bfcd6744b5595ef3f614dd8858788cacc53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Anomalies</topic><topic>Argentina</topic><topic>Daily</topic><topic>daily rainfall</topic><topic>Dipoles</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>El Nino-Southern Oscillation event</topic><topic>Extreme weather</topic><topic>extremes</topic><topic>Global temperatures</topic><topic>Modes</topic><topic>Monthly rainfall</topic><topic>Oceans</topic><topic>Oscillations</topic><topic>Pacific Decadal Oscillation</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Sea surface</topic><topic>Sea surface temperature</topic><topic>Sea surface temperature anomalies</topic><topic>Singular value decomposition</topic><topic>Southern Oscillation</topic><topic>Surface temperature</topic><topic>Temperature anomalies</topic><topic>Trends</topic><topic>Tropical climate</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Robledo, Federico</creatorcontrib><creatorcontrib>Vera, Carolina</creatorcontrib><creatorcontrib>Penalba, Olga</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>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Robledo, Federico</au><au>Vera, Carolina</au><au>Penalba, Olga</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi‐scale features of the co‐variability between global sea surface temperature anomalies and daily extreme rainfall in Argentina</atitle><jtitle>International journal of climatology</jtitle><date>2020-07</date><risdate>2020</risdate><volume>40</volume><issue>9</issue><spage>4289</spage><epage>4299</epage><pages>4289-4299</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>The goal of this study is to provide a better understanding of the trends and dominant oscillations characterizing the co‐variability between global sea surface temperature (SST) anomalies and daily extreme rainfall in Argentina. A singular value decomposition was performed between daily extreme rainfall monthly index in Argentina and global SST without removing the trends. The three leading modes explain 70.5% of the co‐variability, while the two leading modes explain more than 66% of the variability. The two leading modes exhibit significant variability on inter‐annual timescales related to tropical Pacific and Indian oceans, and specifically with El Niño–Southern Oscillation and the Indian Ocean Dipole. On decadal timescales, the leading mode activity is related to the Pacific Decadal Oscillation, whereas the second leading mode is associated with the Atlantic Multi‐decadal Oscillation (AMO). The third leading mode show co‐variability between the SST of the tropical Atlantic and the Indian ocean and extreme rainfall in the eastern‐centre of Argentina; this mode distinguishes phases of AMO. In addition, the two leading modes show positive trends, being largely non‐linear for leading one. The fact that extreme rainfall changes in Argentina observed in the last decades, are significantly influenced by the combination of the multi‐decadal variability and long‐term trends associated with the tropical oceans, is valuable knowledge to assess them in the future.
The goal of this study is to provide a better understanding of the trends and dominant oscillations characterizing the co‐variability between global sea surface temperature (SST) anomalies and daily extreme rainfall in Argentina.The three leading modes explain 70.5% of the co‐variability, while the two leading modes explain more than 66% of the variability. The two leading modes exhibit significant variability on inter‐annual timescales related to tropical Pacific and Indian oceans, and specifically with El Niño–Southern Oscillation and the Indian Ocean Dipole. On decadal timescales, the leading mode activity is related to the Pacific Decadal Oscillation, whereas the second leading mode is associated with the Atlantic Multi‐decadal Oscillation (AMO). The fact that extreme rainfall changes in Argentina observed in the last decades, are significantly influenced by the combination of the multi‐decadal variability and long‐term trends associated with the tropical oceans. Mode 1: Maps of homogeneous correlation. (a) Correlation between the time series of the SST expansion coefficient and the SST grid points (shaded values significant at 1% according to Student's t test). (b) Correlation between the time series of the coefficient of expansion of DIER75 and precipitation stations (shaded dot values significant at 1% according to Student's t test). (c) Reconstruction of dominant periods of variability, time series of the coefficient of expansion of DIER75 (light black bar) and SST (black line). Non‐linear trend (green), 6 years reconstruction (blue) and 4 years reconstruction (red). The SD for each reconstruction time series is shown in brackets.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/joc.6462</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-3705-0883</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0899-8418 |
| ispartof | International journal of climatology, 2020-07, Vol.40 (9), p.4289-4299 |
| issn | 0899-8418 1097-0088 |
| language | eng |
| recordid | cdi_proquest_journals_2419277799 |
| source | Wiley Online Library All Journals |
| subjects | Anomalies Argentina Daily daily rainfall Dipoles El Nino El Nino phenomena El Nino-Southern Oscillation event Extreme weather extremes Global temperatures Modes Monthly rainfall Oceans Oscillations Pacific Decadal Oscillation Rain Rainfall Sea surface Sea surface temperature Sea surface temperature anomalies Singular value decomposition Southern Oscillation Surface temperature Temperature anomalies Trends Tropical climate Variability |
| title | Multi‐scale features of the co‐variability between global sea surface temperature anomalies and daily extreme rainfall in Argentina |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T23%3A43%3A07IST&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=Multi%E2%80%90scale%20features%20of%20the%20co%E2%80%90variability%20between%20global%20sea%20surface%20temperature%20anomalies%20and%20daily%20extreme%20rainfall%20in%20Argentina&rft.jtitle=International%20journal%20of%20climatology&rft.au=Robledo,%20Federico&rft.date=2020-07&rft.volume=40&rft.issue=9&rft.spage=4289&rft.epage=4299&rft.pages=4289-4299&rft.issn=0899-8418&rft.eissn=1097-0088&rft_id=info:doi/10.1002/joc.6462&rft_dat=%3Cproquest_cross%3E2419277799%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2419277799&rft_id=info:pmid/&rfr_iscdi=true |