The importance of ENSO phase during volcanic eruptions for detection and attribution
Comparisons of the observed global‐scale cooling following recent volcanic eruptions to that simulated by climate models from the Coupled Model Intercomparison Project 5 (CMIP5) indicate that the models overestimate the magnitude of the global temperature response to volcanic eruptions. Here we show...
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Veröffentlicht in: | Geophysical research letters 2016-03, Vol.43 (6), p.2851-2858 |
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creator | Lehner, Flavio Schurer, Andrew P. Hegerl, Gabriele C. Deser, Clara Frölicher, Thomas L. |
description | Comparisons of the observed global‐scale cooling following recent volcanic eruptions to that simulated by climate models from the Coupled Model Intercomparison Project 5 (CMIP5) indicate that the models overestimate the magnitude of the global temperature response to volcanic eruptions. Here we show that this overestimation can be explained as a sampling issue, arising because all large eruptions since 1951 coincided with El Niño events, which cause global‐scale warming that partially counteracts the volcanically induced cooling. By subsampling the CMIP5 models according to the observed El Niño–Southern Oscillation (ENSO) phase during each eruption, we find that the simulated global temperature response to volcanic forcing is consistent with observations. Volcanic eruptions pose a particular challenge for the detection and attribution methodology, as their surface impacts are short‐lived and hence can be confounded by ENSO. Our results imply that detection and attribution studies must carefully consider sampling biases due to internal climate variability.
Key Points
There is disagreement between observed and simulated global mean cooling response to recent volcanic eruptions
Accounting for the observed coincidence of El Niño events with recent eruptions resolves this bias
Detection and attribution studies must consider sampling biases arising from internal variability |
doi_str_mv | 10.1002/2016GL067935 |
format | Article |
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Key Points
There is disagreement between observed and simulated global mean cooling response to recent volcanic eruptions
Accounting for the observed coincidence of El Niño events with recent eruptions resolves this bias
Detection and attribution studies must consider sampling biases arising from internal variability</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1002/2016GL067935</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Accounting ; Climate ; Climate models ; Climate variability ; Computer simulation ; Cooling ; Detection ; detection and attribution ; El Nino ; El Nino events ; El Nino phenomena ; El Nino-Southern Oscillation event ; ENSO phase ; Global temperatures ; Intercomparison ; Loads (forces) ; Methods ; model climate sensitivity ; Sampling ; Scale (ratio) ; Southern Oscillation ; Temperature ; Temperature effects ; Variability ; Volcanic eruptions ; volcanic response</subject><ispartof>Geophysical research letters, 2016-03, Vol.43 (6), p.2851-2858</ispartof><rights>2016. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a5316-95fa821e9a9f0d6afce9d9edb2a1fb8ca6270f80665053408124144aab8a4ecb3</citedby><cites>FETCH-LOGICAL-a5316-95fa821e9a9f0d6afce9d9edb2a1fb8ca6270f80665053408124144aab8a4ecb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2016GL067935$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2016GL067935$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,1432,11505,27915,27916,45565,45566,46400,46459,46824,46883</link.rule.ids></links><search><creatorcontrib>Lehner, Flavio</creatorcontrib><creatorcontrib>Schurer, Andrew P.</creatorcontrib><creatorcontrib>Hegerl, Gabriele C.</creatorcontrib><creatorcontrib>Deser, Clara</creatorcontrib><creatorcontrib>Frölicher, Thomas L.</creatorcontrib><title>The importance of ENSO phase during volcanic eruptions for detection and attribution</title><title>Geophysical research letters</title><description>Comparisons of the observed global‐scale cooling following recent volcanic eruptions to that simulated by climate models from the Coupled Model Intercomparison Project 5 (CMIP5) indicate that the models overestimate the magnitude of the global temperature response to volcanic eruptions. Here we show that this overestimation can be explained as a sampling issue, arising because all large eruptions since 1951 coincided with El Niño events, which cause global‐scale warming that partially counteracts the volcanically induced cooling. By subsampling the CMIP5 models according to the observed El Niño–Southern Oscillation (ENSO) phase during each eruption, we find that the simulated global temperature response to volcanic forcing is consistent with observations. Volcanic eruptions pose a particular challenge for the detection and attribution methodology, as their surface impacts are short‐lived and hence can be confounded by ENSO. Our results imply that detection and attribution studies must carefully consider sampling biases due to internal climate variability.
Key Points
There is disagreement between observed and simulated global mean cooling response to recent volcanic eruptions
Accounting for the observed coincidence of El Niño events with recent eruptions resolves this bias
Detection and attribution studies must consider sampling biases arising from internal variability</description><subject>Accounting</subject><subject>Climate</subject><subject>Climate models</subject><subject>Climate variability</subject><subject>Computer simulation</subject><subject>Cooling</subject><subject>Detection</subject><subject>detection and attribution</subject><subject>El Nino</subject><subject>El Nino events</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>ENSO phase</subject><subject>Global temperatures</subject><subject>Intercomparison</subject><subject>Loads (forces)</subject><subject>Methods</subject><subject>model climate sensitivity</subject><subject>Sampling</subject><subject>Scale (ratio)</subject><subject>Southern Oscillation</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Variability</subject><subject>Volcanic eruptions</subject><subject>volcanic response</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqF0U2L1EAQBuBGFBxXb_6ABi8enLWqv_soyzouDC7oeA6VTrebJZOO3Ymy_94M40E8rKeqFx4Kipex1wiXCCDeC0Cz24OxXuonbINeqa0DsE_ZBsCvu7DmOXtR6z0ASJC4YYfDXeT9ccplpjFEnhO__vz1lk93VCPvltKP3_nPPAQa-8BjWaa5z2PlKRfexTmGU-Q0dpzmufTtcsov2bNEQ42v_swL9u3j9eHq03Z_u7u5-rDfkpZotl4ncgKjJ5-gM5RC9J2PXSsIU-sCGWEhOTBGg5YKHAqFShG1jlQMrbxgb893p5J_LLHOzbGvIQ4DjTEvtUEHDrzVzv6fWg9eSyfVSt_8Q-_zUsb1kQY9IlqrrH5UWSekctK7Vb07q1ByrSWmZir9kcpDg9CcOmv-7mzl4sx_9UN8eNQ2uy97rdAa-RspV5XH</recordid><startdate>20160328</startdate><enddate>20160328</enddate><creator>Lehner, Flavio</creator><creator>Schurer, Andrew P.</creator><creator>Hegerl, Gabriele C.</creator><creator>Deser, Clara</creator><creator>Frölicher, Thomas L.</creator><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>7UA</scope><scope>C1K</scope></search><sort><creationdate>20160328</creationdate><title>The importance of ENSO phase during volcanic eruptions for detection and attribution</title><author>Lehner, Flavio ; Schurer, Andrew P. ; Hegerl, Gabriele C. ; Deser, Clara ; Frölicher, Thomas L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a5316-95fa821e9a9f0d6afce9d9edb2a1fb8ca6270f80665053408124144aab8a4ecb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accounting</topic><topic>Climate</topic><topic>Climate models</topic><topic>Climate variability</topic><topic>Computer simulation</topic><topic>Cooling</topic><topic>Detection</topic><topic>detection and attribution</topic><topic>El Nino</topic><topic>El Nino events</topic><topic>El Nino phenomena</topic><topic>El Nino-Southern Oscillation event</topic><topic>ENSO phase</topic><topic>Global temperatures</topic><topic>Intercomparison</topic><topic>Loads (forces)</topic><topic>Methods</topic><topic>model climate sensitivity</topic><topic>Sampling</topic><topic>Scale (ratio)</topic><topic>Southern Oscillation</topic><topic>Temperature</topic><topic>Temperature effects</topic><topic>Variability</topic><topic>Volcanic eruptions</topic><topic>volcanic response</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lehner, Flavio</creatorcontrib><creatorcontrib>Schurer, Andrew P.</creatorcontrib><creatorcontrib>Hegerl, Gabriele C.</creatorcontrib><creatorcontrib>Deser, Clara</creatorcontrib><creatorcontrib>Frölicher, Thomas L.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lehner, Flavio</au><au>Schurer, Andrew P.</au><au>Hegerl, Gabriele C.</au><au>Deser, Clara</au><au>Frölicher, Thomas L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The importance of ENSO phase during volcanic eruptions for detection and attribution</atitle><jtitle>Geophysical research letters</jtitle><date>2016-03-28</date><risdate>2016</risdate><volume>43</volume><issue>6</issue><spage>2851</spage><epage>2858</epage><pages>2851-2858</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>Comparisons of the observed global‐scale cooling following recent volcanic eruptions to that simulated by climate models from the Coupled Model Intercomparison Project 5 (CMIP5) indicate that the models overestimate the magnitude of the global temperature response to volcanic eruptions. Here we show that this overestimation can be explained as a sampling issue, arising because all large eruptions since 1951 coincided with El Niño events, which cause global‐scale warming that partially counteracts the volcanically induced cooling. By subsampling the CMIP5 models according to the observed El Niño–Southern Oscillation (ENSO) phase during each eruption, we find that the simulated global temperature response to volcanic forcing is consistent with observations. Volcanic eruptions pose a particular challenge for the detection and attribution methodology, as their surface impacts are short‐lived and hence can be confounded by ENSO. Our results imply that detection and attribution studies must carefully consider sampling biases due to internal climate variability.
Key Points
There is disagreement between observed and simulated global mean cooling response to recent volcanic eruptions
Accounting for the observed coincidence of El Niño events with recent eruptions resolves this bias
Detection and attribution studies must consider sampling biases arising from internal variability</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/2016GL067935</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accounting Climate Climate models Climate variability Computer simulation Cooling Detection detection and attribution El Nino El Nino events El Nino phenomena El Nino-Southern Oscillation event ENSO phase Global temperatures Intercomparison Loads (forces) Methods model climate sensitivity Sampling Scale (ratio) Southern Oscillation Temperature Temperature effects Variability Volcanic eruptions volcanic response |
title | The importance of ENSO phase during volcanic eruptions for detection and attribution |
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