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Decadal Modulation of ENSO Spring Persistence Barrier by Thermal Damping Processes in the Observation
The spring persistence barrier remains a critical challenge for the prediction of El Niño–Southern Oscillation (ENSO) because it severely limits the potential ability of ENSO forecast across the boreal spring. Our observational analysis shows that the spring persistence barrier exhibited a significa...
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Published in: | Geophysical research letters 2019-06, Vol.46 (12), p.6892-6899 |
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description | The spring persistence barrier remains a critical challenge for the prediction of El Niño–Southern Oscillation (ENSO) because it severely limits the potential ability of ENSO forecast across the boreal spring. Our observational analysis shows that the spring persistence barrier exhibited a significant decadal modulation in the last half century. Further analysis shows that this decadal modulation is caused by the decadal variation in spring ENSO stability, which, in turn, is dominated by the thermal damping feedback of the sea surface temperature (SST) through latent heat flux and shortwave radiation flux. The change of the thermal damping feedback is associated with the background mean SST, with a cooler SST corresponding to a greater ENSO instability and a severer spring persistence barrier and vice versa.
Plain Language Summary
Obtaining effective and correct El Niño–Southern Oscillation (ENSO) forecasts is always an inspiring and challenging task but requires additional research for optimization. One fundamental obstacle that must be faced is the so‐called boreal spring persistence barrier, which relates to the significant decrease in ENSO's prediction skill that always occurs during the boreal spring. Through investigating the spring persistence barrier issues by the observational analyses, our study proposes a mechanism for controlling its variability on the decadal time scale and highlights the significant effects of the interdecadal climate variability in the tropical Pacific. As the mean state of the tropical Pacific warms, more moisture is released into the atmosphere for the same magnitude of sea surface temperature warming, which further leads to the thermal damping over the tropical Pacific and induces more stable ENSO during the boreal spring. The more stable ENSO then weakens the spring persistence barrier, making ENSO easier to predict. This study will draw the scientific community's attention on understanding about ENSO and ENSO predictability; the decadal variations in spring persistence barrier intensity and its related physical processes should be adequately represented in climate models used for seasonal predictions and studies of climate variability, change, and projection.
Key Points
The ENSO spring persistence barrier exhibited a significant decadal variability in the last half century
The decadal modulation of the barrier is caused by the decadal variation in spring ENSO stability
The ENSO's stability is further dominated by the no |
doi_str_mv | 10.1029/2019GL082921 |
format | article |
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Plain Language Summary
Obtaining effective and correct El Niño–Southern Oscillation (ENSO) forecasts is always an inspiring and challenging task but requires additional research for optimization. One fundamental obstacle that must be faced is the so‐called boreal spring persistence barrier, which relates to the significant decrease in ENSO's prediction skill that always occurs during the boreal spring. Through investigating the spring persistence barrier issues by the observational analyses, our study proposes a mechanism for controlling its variability on the decadal time scale and highlights the significant effects of the interdecadal climate variability in the tropical Pacific. As the mean state of the tropical Pacific warms, more moisture is released into the atmosphere for the same magnitude of sea surface temperature warming, which further leads to the thermal damping over the tropical Pacific and induces more stable ENSO during the boreal spring. The more stable ENSO then weakens the spring persistence barrier, making ENSO easier to predict. This study will draw the scientific community's attention on understanding about ENSO and ENSO predictability; the decadal variations in spring persistence barrier intensity and its related physical processes should be adequately represented in climate models used for seasonal predictions and studies of climate variability, change, and projection.
Key Points
The ENSO spring persistence barrier exhibited a significant decadal variability in the last half century
The decadal modulation of the barrier is caused by the decadal variation in spring ENSO stability
The ENSO's stability is further dominated by the nonlinear heat flux‐SST damping feedback</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2019GL082921</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>air‐sea interaction ; Atmospheric models ; Climate ; Climate change ; Climate effects ; Climate models ; Climate studies ; Climate variability ; Damping ; Decadal variations ; El Nino ; El Nino effects ; El Nino forecasting ; El Nino phenomena ; El Nino-Southern Oscillation event ; El Nino-Southern Oscillation event forecasting ; ENSO ; Feedback ; Forecasting ; Heat flux ; Heat transfer ; Instability ; Latent heat ; Latent heat flux ; Long-term changes ; Modulation ; Ocean currents ; Optimization ; Radiation ; Radiation flux ; Sea surface ; Sea surface temperature ; Short wave radiation ; Southern Oscillation ; Spring ; Spring (season) ; spring persistence barrier ; Stability ; Surface temperature ; thermal damping feedback ; Tropical climate ; Tropical climates ; Variability</subject><ispartof>Geophysical research letters, 2019-06, Vol.46 (12), p.6892-6899</ispartof><rights>2019. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3067-8ed7c0ea6d4dc5ea1add2f503faa2d6275dbc4b719ca6e2ee24c8fa63b6011073</citedby><cites>FETCH-LOGICAL-c3067-8ed7c0ea6d4dc5ea1add2f503faa2d6275dbc4b719ca6e2ee24c8fa63b6011073</cites><orcidid>0000-0001-9846-8944 ; 0000-0002-6897-1626 ; 0000-0002-1210-0055</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2019GL082921$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2019GL082921$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,11514,27924,27925,46468,46892</link.rule.ids></links><search><creatorcontrib>Fang, Xiang‐Hui</creatorcontrib><creatorcontrib>Zheng, Fei</creatorcontrib><creatorcontrib>Liu, Zheng‐Yu</creatorcontrib><creatorcontrib>Zhu, Jiang</creatorcontrib><title>Decadal Modulation of ENSO Spring Persistence Barrier by Thermal Damping Processes in the Observation</title><title>Geophysical research letters</title><description>The spring persistence barrier remains a critical challenge for the prediction of El Niño–Southern Oscillation (ENSO) because it severely limits the potential ability of ENSO forecast across the boreal spring. Our observational analysis shows that the spring persistence barrier exhibited a significant decadal modulation in the last half century. Further analysis shows that this decadal modulation is caused by the decadal variation in spring ENSO stability, which, in turn, is dominated by the thermal damping feedback of the sea surface temperature (SST) through latent heat flux and shortwave radiation flux. The change of the thermal damping feedback is associated with the background mean SST, with a cooler SST corresponding to a greater ENSO instability and a severer spring persistence barrier and vice versa.
Plain Language Summary
Obtaining effective and correct El Niño–Southern Oscillation (ENSO) forecasts is always an inspiring and challenging task but requires additional research for optimization. One fundamental obstacle that must be faced is the so‐called boreal spring persistence barrier, which relates to the significant decrease in ENSO's prediction skill that always occurs during the boreal spring. Through investigating the spring persistence barrier issues by the observational analyses, our study proposes a mechanism for controlling its variability on the decadal time scale and highlights the significant effects of the interdecadal climate variability in the tropical Pacific. As the mean state of the tropical Pacific warms, more moisture is released into the atmosphere for the same magnitude of sea surface temperature warming, which further leads to the thermal damping over the tropical Pacific and induces more stable ENSO during the boreal spring. The more stable ENSO then weakens the spring persistence barrier, making ENSO easier to predict. This study will draw the scientific community's attention on understanding about ENSO and ENSO predictability; the decadal variations in spring persistence barrier intensity and its related physical processes should be adequately represented in climate models used for seasonal predictions and studies of climate variability, change, and projection.
Key Points
The ENSO spring persistence barrier exhibited a significant decadal variability in the last half century
The decadal modulation of the barrier is caused by the decadal variation in spring ENSO stability
The ENSO's stability is further dominated by the nonlinear heat flux‐SST damping feedback</description><subject>air‐sea interaction</subject><subject>Atmospheric models</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate effects</subject><subject>Climate models</subject><subject>Climate studies</subject><subject>Climate variability</subject><subject>Damping</subject><subject>Decadal variations</subject><subject>El Nino</subject><subject>El Nino effects</subject><subject>El Nino forecasting</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>El Nino-Southern Oscillation event forecasting</subject><subject>ENSO</subject><subject>Feedback</subject><subject>Forecasting</subject><subject>Heat flux</subject><subject>Heat transfer</subject><subject>Instability</subject><subject>Latent heat</subject><subject>Latent heat flux</subject><subject>Long-term changes</subject><subject>Modulation</subject><subject>Ocean currents</subject><subject>Optimization</subject><subject>Radiation</subject><subject>Radiation flux</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Short wave radiation</subject><subject>Southern Oscillation</subject><subject>Spring</subject><subject>Spring (season)</subject><subject>spring persistence barrier</subject><subject>Stability</subject><subject>Surface temperature</subject><subject>thermal damping feedback</subject><subject>Tropical climate</subject><subject>Tropical climates</subject><subject>Variability</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp90E1PwzAMBuAIgcQY3PgBkbhScD6atEfYxkAqDLFxrtLEZZ26diQdaP-ewjhw4mQfHr-WTcg5gysGPL3mwNJpBglPOTsgA5ZKGSUA-pAMANK-51odk5MQVgAgQLABwTFa40xNH1u3rU1XtQ1tSzp5ms_ofOOr5o0-ow9V6LCxSG-N9xV6WuzoYol-3Q-OzXrzw3xrMQQMtGpot0Q6KwL6j5_IU3JUmjrg2W8dkte7yWJ0H2Wz6cPoJousAKWjBJ22gEY56WyMhhnneBmDKI3hTnEdu8LKQrPUGoUckUublEaJQgFjoMWQXOxzN75932Lo8lW79U2_MudcSRlLreNeXe6V9W0IHsu8P3Rt_C5nkH8_Mv_7yJ7zPf-satz9a_PpSxanTGrxBcnbdL0</recordid><startdate>20190628</startdate><enddate>20190628</enddate><creator>Fang, Xiang‐Hui</creator><creator>Zheng, Fei</creator><creator>Liu, Zheng‐Yu</creator><creator>Zhu, Jiang</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><orcidid>https://orcid.org/0000-0001-9846-8944</orcidid><orcidid>https://orcid.org/0000-0002-6897-1626</orcidid><orcidid>https://orcid.org/0000-0002-1210-0055</orcidid></search><sort><creationdate>20190628</creationdate><title>Decadal Modulation of ENSO Spring Persistence Barrier by Thermal Damping Processes in the Observation</title><author>Fang, Xiang‐Hui ; Zheng, Fei ; Liu, Zheng‐Yu ; Zhu, Jiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3067-8ed7c0ea6d4dc5ea1add2f503faa2d6275dbc4b719ca6e2ee24c8fa63b6011073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>air‐sea interaction</topic><topic>Atmospheric models</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate effects</topic><topic>Climate models</topic><topic>Climate studies</topic><topic>Climate variability</topic><topic>Damping</topic><topic>Decadal variations</topic><topic>El Nino</topic><topic>El Nino effects</topic><topic>El Nino forecasting</topic><topic>El Nino phenomena</topic><topic>El Nino-Southern Oscillation event</topic><topic>El Nino-Southern Oscillation event forecasting</topic><topic>ENSO</topic><topic>Feedback</topic><topic>Forecasting</topic><topic>Heat flux</topic><topic>Heat transfer</topic><topic>Instability</topic><topic>Latent heat</topic><topic>Latent heat flux</topic><topic>Long-term changes</topic><topic>Modulation</topic><topic>Ocean currents</topic><topic>Optimization</topic><topic>Radiation</topic><topic>Radiation flux</topic><topic>Sea surface</topic><topic>Sea surface temperature</topic><topic>Short wave radiation</topic><topic>Southern Oscillation</topic><topic>Spring</topic><topic>Spring (season)</topic><topic>spring persistence barrier</topic><topic>Stability</topic><topic>Surface temperature</topic><topic>thermal damping feedback</topic><topic>Tropical climate</topic><topic>Tropical climates</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, Xiang‐Hui</creatorcontrib><creatorcontrib>Zheng, Fei</creatorcontrib><creatorcontrib>Liu, Zheng‐Yu</creatorcontrib><creatorcontrib>Zhu, Jiang</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><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fang, Xiang‐Hui</au><au>Zheng, Fei</au><au>Liu, Zheng‐Yu</au><au>Zhu, Jiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decadal Modulation of ENSO Spring Persistence Barrier by Thermal Damping Processes in the Observation</atitle><jtitle>Geophysical research letters</jtitle><date>2019-06-28</date><risdate>2019</risdate><volume>46</volume><issue>12</issue><spage>6892</spage><epage>6899</epage><pages>6892-6899</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>The spring persistence barrier remains a critical challenge for the prediction of El Niño–Southern Oscillation (ENSO) because it severely limits the potential ability of ENSO forecast across the boreal spring. Our observational analysis shows that the spring persistence barrier exhibited a significant decadal modulation in the last half century. Further analysis shows that this decadal modulation is caused by the decadal variation in spring ENSO stability, which, in turn, is dominated by the thermal damping feedback of the sea surface temperature (SST) through latent heat flux and shortwave radiation flux. The change of the thermal damping feedback is associated with the background mean SST, with a cooler SST corresponding to a greater ENSO instability and a severer spring persistence barrier and vice versa.
Plain Language Summary
Obtaining effective and correct El Niño–Southern Oscillation (ENSO) forecasts is always an inspiring and challenging task but requires additional research for optimization. One fundamental obstacle that must be faced is the so‐called boreal spring persistence barrier, which relates to the significant decrease in ENSO's prediction skill that always occurs during the boreal spring. Through investigating the spring persistence barrier issues by the observational analyses, our study proposes a mechanism for controlling its variability on the decadal time scale and highlights the significant effects of the interdecadal climate variability in the tropical Pacific. As the mean state of the tropical Pacific warms, more moisture is released into the atmosphere for the same magnitude of sea surface temperature warming, which further leads to the thermal damping over the tropical Pacific and induces more stable ENSO during the boreal spring. The more stable ENSO then weakens the spring persistence barrier, making ENSO easier to predict. This study will draw the scientific community's attention on understanding about ENSO and ENSO predictability; the decadal variations in spring persistence barrier intensity and its related physical processes should be adequately represented in climate models used for seasonal predictions and studies of climate variability, change, and projection.
Key Points
The ENSO spring persistence barrier exhibited a significant decadal variability in the last half century
The decadal modulation of the barrier is caused by the decadal variation in spring ENSO stability
The ENSO's stability is further dominated by the nonlinear heat flux‐SST damping feedback</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2019GL082921</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-9846-8944</orcidid><orcidid>https://orcid.org/0000-0002-6897-1626</orcidid><orcidid>https://orcid.org/0000-0002-1210-0055</orcidid></addata></record> |
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subjects | air‐sea interaction Atmospheric models Climate Climate change Climate effects Climate models Climate studies Climate variability Damping Decadal variations El Nino El Nino effects El Nino forecasting El Nino phenomena El Nino-Southern Oscillation event El Nino-Southern Oscillation event forecasting ENSO Feedback Forecasting Heat flux Heat transfer Instability Latent heat Latent heat flux Long-term changes Modulation Ocean currents Optimization Radiation Radiation flux Sea surface Sea surface temperature Short wave radiation Southern Oscillation Spring Spring (season) spring persistence barrier Stability Surface temperature thermal damping feedback Tropical climate Tropical climates Variability |
title | Decadal Modulation of ENSO Spring Persistence Barrier by Thermal Damping Processes in the Observation |
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