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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Earth Sci.</journal-id>
<journal-title>Frontiers in Earth Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Earth Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-6463</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">978509</article-id>
<article-id pub-id-type="doi">10.3389/feart.2022.978509</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Earth Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Revisiting the different responses of the following Indian summer monsoon rainfall to the diversity of El Ni&#xf1;o events</article-title>
<alt-title alt-title-type="left-running-head">Zhang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/feart.2022.978509">10.3389/feart.2022.978509</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xiya</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1842423/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Kang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/962727/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Weiqiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Zhuoqi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1818226/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>State Key Laboratory of Tropical Oceanography</institution>, <institution>South China Sea Institute of Oceanology</institution>, <institution>Chinese Academy of Sciences (CAS)</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>University of Chinese Academy of Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1633033/overview">Fei Ge</ext-link>, Chengdu University of Information Technology, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1893335/overview">Dachao Jin</ext-link>, Nanjing University of Information Science and Technology, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/960880/overview">Xin Zhou</ext-link>, Chengdu University of Information Technology, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Kang Xu, <email>xukang@scsio.ac.cn</email>; Weiqiang Wang, <email>weiqiang.wang@scsio.ac.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Atmospheric Science, a section of the journal Frontiers in Earth Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>978509</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>06</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>07</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Zhang, Xu, Wang and He.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zhang, Xu, Wang and He</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>There is evidence that the interannual relationship between El Ni&#xf1;o events and the following Indian summer monsoon rainfall (ISMR) has weakened with the more frequent occurrence of central Pacific (CP) El Ni&#xf1;o events. We revisited the following ISMR responses to the two different types of El Ni&#xf1;o events using observations and reanalysis datasets. Our results show that the ISMR anomalies associated with eastern Pacific (EP) and CP El Ni&#xf1;o events are different, with decreased (increased) rainfall in early summer (June&#x2013;July) following EP (CP) El Ni&#xf1;o events. This is primarily attributed to the different responses to anomalous warming of the sea surface temperature (SST) in the northern Indian Ocean (NIO), which is characterized by double peaks in the warming SST during EP El Ni&#xf1;o events, but only one peak during CP El Ni&#xf1;o events. For EP El Ni&#xf1;o events, the second SST warming peak in early summer contributes to the lower level antisymmetric wind pattern over the tropical Indian Ocean (TIO), which delays the onset of the Indian summer monsoon (ISM) and decreases the supply of moisture to India, implying a decrease in the ISMR. By contrast, for CP El Ni&#xf1;o events, the cooling SST over the western TIO directly induces a significantly positive meridional SST gradient and drives the lower level southwesterly wind anomalies, resulting in an eastward shift in the decreased antisymmetric winds over TIO and the early onset of ISM. These circulation features are associated with anomalous upper-level divergence over TIO and sinking over India, jointly leading to the excess ISMR in early summer. These results suggest that, in addition to the key role of the warming of the NIO SST, cooling of the SST over the western TIO during CP El Ni&#xf1;o events should be considered carefully in understanding the El Ni&#xf1;o&#x2013;ISMR relationship.</p>
</abstract>
<kwd-group>
<kwd>eastern Pacific El Ni&#xf1;o</kwd>
<kwd>central Pacific El Ni&#xf1;o</kwd>
<kwd>Indian summer monsoon rainfall</kwd>
<kwd>northern Indian Ocean warming</kwd>
<kwd>antisymmetric wind pattern</kwd>
</kwd-group>
<contract-num rid="cn001">42076020</contract-num>
<contract-num rid="cn002">2019YFA0606701</contract-num>
<contract-num rid="cn003">2020340</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Youth Innovation Promotion Association of the Chinese Academy of Sciences<named-content content-type="fundref-id">10.13039/501100004739</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The Indian summer monsoon rainfall (ISMR), which occurs in June&#x2013;September (JJAS), is driven by the Indian summer monsoon (ISM; also known as the South Asian summer monsoon). The ISMR accounts for more than 75% of the total annual rainfall in India (<xref ref-type="bibr" rid="B24">Parthasarathy et al., 1994</xref>) and is crucially important to agricultural production and economic development over the subcontinent. As an important component of the global monsoon system, the ISM is characterized by strong southwesterly winds over the northern Indian Ocean (NIO) and the South Asian subcontinent in JJAS (<xref ref-type="bibr" rid="B28">Schott et al., 2009</xref>). However, due to the great uncertainty about the ISM and ISMR onset and intensity, it is challenging to accurately forecast for decades.</p>
<p>Previous studies have shown that the variability of ISMR can be linked to the activities of mid- and high-latitude systems (e.g., <xref ref-type="bibr" rid="B12">Krishnamurthy and Krishnamurthy, 2014</xref>; <xref ref-type="bibr" rid="B20">Malik et al., 2017</xref>) and coupled air&#x2013;sea interactions in the tropics (e.g., <xref ref-type="bibr" rid="B29">Shukla and Paolino, 1983</xref>; <xref ref-type="bibr" rid="B50">Yang et al., 2007</xref>; <xref ref-type="bibr" rid="B13">Kucharski et al., 2008</xref>; <xref ref-type="bibr" rid="B28">Schott et al., 2009</xref>). Among these factors, the El Ni&#xf1;o&#x2013;Southern Oscillation (ENSO) is regarded as one of the most important on an interannual timescale, with the ENSO negatively (positively) correlating with the ISMR in its developing (decaying) phase (<xref ref-type="bibr" rid="B22">Mooley and Parthasarathy, 1983</xref>; <xref ref-type="bibr" rid="B29">Shukla and Paolino, 1983</xref>; <xref ref-type="bibr" rid="B25">Parthasarathy and Pant, 1985</xref>; <xref ref-type="bibr" rid="B37">Webster et al., 1998</xref>; <xref ref-type="bibr" rid="B16">Kumar et al., 2006</xref>). During the developing phase of El Ni&#xf1;o events, the weakening and eastward shift in the Walker circulation anomalies caused by the warming sea surface temperature (SST) anomalies (SSTAs) in the tropical eastern and central Pacific induces significant anomalous sinking over the Indo-Pacific warm pool and suppress convective activities <italic>in situ</italic>, leading to a decrease in the ISMR (<xref ref-type="bibr" rid="B29">Shukla and Paolino, 1983</xref>). This is the so-called &#x201c;atmospheric bridge&#x201d; mechanism (<xref ref-type="bibr" rid="B10">Klein et al., 1999</xref>; <xref ref-type="bibr" rid="B1">Alexander et al., 2002</xref>; <xref ref-type="bibr" rid="B18">Lau and Nath, 2003</xref>).</p>
<p>El Ni&#xf1;o events can also modulate the following ISM and its related ISMR anomalies by influencing the SSTAs in the tropical Indian Ocean (TIO; <xref ref-type="bibr" rid="B32">Terray et al., 2003</xref>; <xref ref-type="bibr" rid="B23">Park et al., 2010</xref>). El Ni&#xf1;o events exert an impact on the anomalous warming of the SST in the southwestern Indian Ocean (SWIO) through the westward propagation of the downwelling ocean Rossby wave responses to the anomalous anticyclonic wind pattern over the tropical southeastern Indian Ocean induced by El Ni&#xf1;o events (<xref ref-type="bibr" rid="B41">Xie et al., 2002</xref>; <xref ref-type="bibr" rid="B42">Xie et al., 2009</xref>). Such sustained warming of the SWIO causes south-trending SSTA gradients and induces a cross-equatorial antisymmetric pattern of atmospheric anomalies during the following spring and early summer (<xref ref-type="bibr" rid="B41">Xie et al., 2002</xref>; <xref ref-type="bibr" rid="B39">Wu et al., 2008</xref>; <xref ref-type="bibr" rid="B40">Wu and Yeh, 2010</xref>), which gives rise to a pronounced second warming peak in the SSTA over the NIO via a positive wind&#x2013;evaporation&#x2013;SST (WES) feedback mechanism (<xref ref-type="bibr" rid="B6">Du et al., 2009</xref>). These atmospheric circulations in the TIO inhibit the southwest ISM and reduce ISMR in early summer following El Ni&#xf1;o events (<xref ref-type="bibr" rid="B19">L&#xfc; and Zheng, 2017</xref>). <xref ref-type="bibr" rid="B23">Park et al. (2010)</xref> found a greater number of rainfall anomalies over India in late summer following El Ni&#xf1;o events through the &#x201c;delayed effect&#x201d; of these events.</p>
<p>However, the interannual relationship between El Ni&#xf1;o events and the ISMR is unstable over the long term (<xref ref-type="bibr" rid="B11">Kripalani and Kulkarni, 1997</xref>) and has weakened since the 1990s (<xref ref-type="bibr" rid="B15">Kumar et al., 1999</xref>; <xref ref-type="bibr" rid="B51">Yang and Huang, 2021</xref>). This unstable relationship might be attributed to the more frequent occurrence of central Pacific (CP) El Ni&#xf1;o events in recent decades (<xref ref-type="bibr" rid="B16">Kumar et al., 2006</xref>; <xref ref-type="bibr" rid="B7">Feba et al., 2021</xref>). In contrast with the conventional eastern Pacific (EP) El Ni&#xf1;o events in which the warmest SSTA is centered in the eastern equatorial Pacific, CP El Ni&#xf1;o events are primarily featured by the warmest SSTA in the central tropical Pacific and cooling SSTAs in the western and eastern tropical Pacific (<xref ref-type="bibr" rid="B2">Ashok et al., 2007</xref>; <xref ref-type="bibr" rid="B9">Kao and Yu, 2009</xref>; <xref ref-type="bibr" rid="B27">Ren and Jin, 2011</xref>; <xref ref-type="bibr" rid="B48">Xu et al., 2012</xref>; <xref ref-type="bibr" rid="B46">Xu et al., 2014</xref>; <xref ref-type="bibr" rid="B3">Capotondi et al., 2015</xref>; <xref ref-type="bibr" rid="B44">Xu et al., 2017</xref>; <xref ref-type="bibr" rid="B47">Xu et al., 2020</xref>).</p>
<p>EP and CP El Ni&#xf1;o events have different impacts on the global climate (<xref ref-type="bibr" rid="B2">Ashok et al., 2007</xref>; <xref ref-type="bibr" rid="B14">Kug et al., 2009</xref>; <xref ref-type="bibr" rid="B49">Xu et al., 2013</xref>; <xref ref-type="bibr" rid="B35">Wang et al., 2019</xref>; <xref ref-type="bibr" rid="B45">Xu et al., 2019</xref>; <xref ref-type="bibr" rid="B34">Wang et al., 2021</xref>), including the Indian Ocean and surrounding regions (<xref ref-type="bibr" rid="B16">Kumar et al., 2006</xref>), presumably due to their distinct diabatic heating. For example, <xref ref-type="bibr" rid="B31">Tao et al. (2014)</xref> found that the weaker and more insignificant Indian Ocean basin mode (IOBM) is found in the following spring of CP El Ni&#xf1;o events as a result of the absence of the tropospheric temperature mechanism and the related ocean dynamic process. <xref ref-type="bibr" rid="B5">Dogar et al. (2019)</xref> showed that CP El Ni&#xf1;o events cause a decrease in the South Asian rainfall anomalies through modulation of the Hadley and Walker circulations, but these rainfall anomalies are weaker than that of EP El Ni&#xf1;o events. <xref ref-type="bibr" rid="B4">Chowdary et al. (2017)</xref> also showed that the excess ISMR is mainly controlled by the rapid decay rate of the SSTAs in the TIO induced by CP El Ni&#xf1;o events. In addition, <xref ref-type="bibr" rid="B36">Wang et al. (2013)</xref> emphasized that the late (early) onset of the Asian summer monsoon in the decaying years of EP (CP) El Ni&#xf1;o events is determined by the significant (insignificant) warming of the southern Indian Ocean in the following spring. These evidence show the different impacts on the climate over the Indian Ocean associated with the two types of El Ni&#xf1;o event, although the relationship between the variability of the ISMR and the diversity of El Ni&#xf1;o events is not yet fully understood, especially the role of the anomalous SST in the TIO. Given the importance of the ISMR and the different impacts of the diversity of the El Ni&#xf1;o on the climate in the Indian Ocean, we investigated whether ISMR shows different responses to these two types of El Ni&#xf1;o event with the aim of clarifying the related physical mechanisms.</p>
<p>The remainder of the paper is organized as follows. The datasets and methods are briefly introduced in <xref ref-type="sec" rid="s2">Section 2</xref>. <xref ref-type="sec" rid="s3">Section 3</xref> gives the main results of this study, including the different responses of the ISMR and the related atmospheric circulation anomalies, the role of the SSTA in the western NIO and the possible physical mechanisms. Our summary and discussion are presented in <xref ref-type="sec" rid="s4">Section 4</xref>.</p>
</sec>
<sec id="s2">
<title>2 Data and methods</title>
<sec id="s2-1">
<title>2.1 Data</title>
<p>The global monthly SST data was obtained from the Hadley Centre Sea Ice and Sea Surface Temperature (HadISST; <xref ref-type="bibr" rid="B26">Rayner et al., 2003</xref>) dataset with a horizontal resolution of 1&#xb0; &#xd7; 1&#xb0;. Monthly three-dimensional wind datasets, which are available at a horizontal resolution of 2.5&#xb0; &#xd7; 2.5&#xb0; and extend from 1000 to 10&#xa0;hPa with 17 vertical pressure levels, were extracted from the United States National Center for Environmental Prediction&#x2013;National Centers for Atmospheric Research (NCEP-NCAR) reanalysis products (<xref ref-type="bibr" rid="B8">Kalnay et al., 1996</xref>). Monthly rainfall data for all India were provided by the Indian Institute of Tropical Meteorology&#x2013;Indian regional/subdivisional monthly rainfall (IITM-IMR; <xref ref-type="bibr" rid="B24">Parthasarathy et al., 1994</xref>) dataset. The anomaly in each variable was obtained by subtracting the climatological value from 1951 to 2016. All the monthly mean variables were linearly detrended and then smoothed by taking three-month running averages to exclude the subseasonal variability.</p>
</sec>
<sec id="s2-2">
<title>2.2 Classification of eastern Pacific and central Pacific El Ni&#xf1;o events</title>
<p>Following the criterion of the NOAA, an El Ni&#xf1;o event is defined by a three-month running Ni&#xf1;o3.4 (5&#xb0;S&#x2013;5&#xb0;N, 120&#xb0;W&#x2013;170&#xb0;W) SSTA index greater than or equal to &#x2b;0.5&#xa0;K for at least five consecutive overlapping time periods. Because we mainly focused on moderate and stronger El Ni&#xf1;o events, a total of 15&#xa0;El Ni&#xf1;o events were identified during the time period 1951&#x2013;2016 (<xref ref-type="table" rid="T1">Table 1</xref>) based on peak values of the Ni&#xf1;o3.4 SSTA greater than &#x2b;1.0&#xa0;K. We then determined the type of these selected El Ni&#xf1;o events based on the consensus of three identification methods, including the Ni&#xf1;o3/El Ni&#xf1;o Modoki index (EMI) method of <xref ref-type="bibr" rid="B2">Ashok et al. (2007)</xref>, the Ni&#xf1;o3/Ni&#xf1;o4 method of <xref ref-type="bibr" rid="B52">Yeh et al. (2009)</xref> and the EP/CP-index method of <xref ref-type="bibr" rid="B9">Kao and Yu (2009)</xref>. Using the Ni&#xf1;o3/EMI method, El Ni&#xf1;o events were classified as central (eastern) Pacific types when the DJF mean EMI value was greater (less) than that of the Ni&#xf1;o3 (5&#xb0;S&#x2013;5&#xb0;N, 90&#xb0;W&#x2013;150&#xb0;W) SSTA index. The EMI is defined as:<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mtext>EMI</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mrow>
<mml:mo>[</mml:mo>
<mml:mrow>
<mml:mtext>SSTA</mml:mtext>
</mml:mrow>
<mml:mo>]</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mi>c</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mn>0.5</mml:mn>
<mml:msub>
<mml:mrow>
<mml:mrow>
<mml:mo>[</mml:mo>
<mml:mrow>
<mml:mtext>SSTA</mml:mtext>
</mml:mrow>
<mml:mo>]</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mi>E</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.5</mml:mn>
<mml:msub>
<mml:mrow>
<mml:mrow>
<mml:mo>[</mml:mo>
<mml:mrow>
<mml:mtext>SSTA</mml:mtext>
</mml:mrow>
<mml:mo>]</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mi>W</mml:mi>
</mml:msub>
<mml:mtext>&#xa0;</mml:mtext>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>where the square brackets with a subscript represent the area-averaged SSTA over the central (10&#xb0;S&#x2013;10&#xb0;N, 165&#xb0;E&#x2013;140&#xb0;W), eastern (15&#xb0;S&#x2013;5&#xb0;N, 110&#xb0;W&#x2013;70&#xb0;W) and western (10&#xb0;S&#x2013;20&#xb0;N, 125&#xb0;E&#x2013;145&#xb0;E) tropical Pacific, respectively.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Major El Ni&#xf1;o events during the time period 1951&#x2013;2016 and their types identified by the majority consensus from the Ni&#xf1;o3/Ni&#xf1;o4 method, the EMI method and the EP/CP-index method.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th rowspan="2" align="left">El Ni&#xf1;o years</th>
<th colspan="4" align="left">Type</th>
</tr>
<tr>
<th align="left">Ni&#xf1;o3/EMI index</th>
<th align="left">Ni&#xf1;o3/Ni&#xf1;o4 index</th>
<th align="left">EP/CP-index</th>
<th align="left">Consensus</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">1951&#x2013;1952</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">1957&#x2013;1958</td>
<td align="left">EP</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">1963&#x2013;1964</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">1965&#x2013;1966</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">CP</td>
<td align="left">EP</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">1968&#x2013;1969</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">1972&#x2013;1973</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">1982&#x2013;1983</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">1986&#x2013;1987</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">CP</td>
<td align="left">EP</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">1987&#x2013;1988</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">1991&#x2013;1992</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">CP</td>
<td align="left">EP</td>
</tr>
<tr>
<td align="left">11</td>
<td align="left">1993&#x2013;1994</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
</tr>
<tr>
<td align="left">12</td>
<td align="left">1997&#x2013;1998</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
</tr>
<tr>
<td align="left">13</td>
<td align="left">2002&#x2013;2003</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
</tr>
<tr>
<td align="left">14</td>
<td align="left">2009&#x2013;2010</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
<td align="left">CP</td>
</tr>
<tr>
<td align="left">15</td>
<td align="left">2015&#x2013;2016</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
<td align="left">EP</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>With the Ni&#xf1;o3/Ni&#xf1;o4 method, El Ni&#xf1;o events are classified as CP (EP) types when the DJF-averaged values of the Ni&#xf1;o4 (5&#xb0;S&#x2013;5&#xb0;N, 160&#xb0;E&#x2013;150&#xb0;W) index are greater (less) than those of the Ni&#xf1;o3 index.</p>
<p>
<xref ref-type="bibr" rid="B9">Kao and Yu (2009)</xref> applied a combined regression&#x2013;empirical orthogonal function (EOF) analysis to identify the EP and CP types of El Ni&#xf1;o events and referred to this as the EP/CP-index method. In this method, El Ni&#xf1;o events are classified as CP types when the DJF-averaged principal components of the EOF for the residual SSTA after removing the anomalies regressed with the Ni&#xf1;o1&#x2b;2 (0&#xb0;&#x2013;10&#xb0;S, 80&#xb0;W&#x2013;90&#xb0;W) SST index are greater than their counterparts after removing the anomalies regressed with the Ni&#xf1;o4 index, and vice versa for the EP events. According to the majority consensus shown in <xref ref-type="table" rid="T1">Table 1</xref>, eight of the 15 major El Ni&#xf1;o events were of the EP type and seven were of the CP type events.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Contrasting responses of the Indian summer monsoon rainfall to the two types of El Ni&#xf1;o event</title>
<p>To validate the rationality of the classification method for the two types of El Ni&#xf1;o event used in this study, <xref ref-type="fig" rid="F1">Figure 1</xref> shows the temporal variation of the equatorial Indo-Pacific Ocean SSTA averaged between 5&#xb0;S and 5&#xb0;N associated with the EP and CP El Ni&#xf1;o events. The center of the warming EP El Ni&#xf1;o-related SSTA is observed in the eastern-central equatorial Pacific, with the warmest SSTA of &#x2b;2.0&#xa0;K to the east of 120&#xb0;W (<xref ref-type="fig" rid="F1">Figure 1A</xref>). By contrast, the significant anomalous SST warming during CP El Ni&#xf1;o events shifts westward to the west of 150&#xb0;W and its corresponding center with a maximum positive SSTA of &#x2b;1.0&#xa0;K is much weaker than that of the EP El Ni&#xf1;o events (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Based on a significant SSTA greater than &#x2b;0.5&#xa0;K, a warm SSTA related to an EP (CP) El Ni&#xf1;o event develops in April (June) of the developing year, peaks in winter and subsequently decays after the following June (April), indicating that the positive SSTA starts later and ends earlier during CP El Ni&#xf1;o events, with a duration four months shorter and a decay rate much faster than for EP El Ni&#xf1;o events.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Time&#x2013;longitude cross-section of the composite sea surface temperature anomaly (SSTA; units: K) at the equator (averaged from 5&#xb0;S to 5&#xb0;N) for <bold>(A)</bold> EP El Ni&#xf1;o events and <bold>(B)</bold> CP El Ni&#xf1;o events, where (0) indicates the El Ni&#xf1;o developing year and (1) represents the decaying year. White contours indicate regions with a SSTA greater than &#x2b;0.5&#xa0;K and gray dots denote a SSTA statistically significant at the 90% confidence level.</p>
</caption>
<graphic xlink:href="feart-10-978509-g001.tif"/>
</fig>
<p>Differences also exist in the strength and timing of the warming SSTA responses in the equatorial Indian Ocean to the two types of El Ni&#xf1;o event. Anomalous equatorial Indian Ocean SST warming associated with EP El Ni&#xf1;o events is stronger and lasts longer than that of CP El Ni&#xf1;o events (<xref ref-type="fig" rid="F1">Figure 1</xref>), highlighting the stronger IOBM and the subsequent air&#x2013;sea interactions during EP El Ni&#xf1;o events. This result indicates that EP El Ni&#xf1;o events are followed by the IOBM until the following summer, but the warming SSTA related to CP El Ni&#xf1;o events only lasts until the following spring and is insignificant in summer, consistent with the results of <xref ref-type="bibr" rid="B31">Tao et al. (2014)</xref>. The classification method therefore effectively reflects the differences between EP and CP El Ni&#xf1;o events, especially their different impacts on the SSTA in the equatorial Indian Ocean.</p>
<p>To investigate the different impacts of EP and CP El Ni&#xf1;o events on rainfall anomalies over India, <xref ref-type="fig" rid="F2">Figure 2</xref> shows composites of the all-Indian rainfall anomalies during the decaying years of the two types of El Ni&#xf1;o event. In the climatology, the ISMR in JJAS contributes as much as 75% to the annual rainfall over India, consistent with the results reported by <xref ref-type="bibr" rid="B24">Parthasarathy et al. (1994)</xref>. It is clear that the larger standard deviations of the ISMR occur in JJAS (<xref ref-type="fig" rid="F2">Figure 2</xref>, error bars), indicating that the ISMR also shows the most pronounced interannual variation. For the decaying years of EP El Ni&#xf1;o, the ISMR shows a deficit in early summer (June&#x2013;July), a surplus in late summer (August&#x2013;September) and peaks in September, consistent with previous studies (<xref ref-type="bibr" rid="B23">Park et al., 2010</xref>; <xref ref-type="bibr" rid="B17">Lau and Nath, 2012</xref>; <xref ref-type="bibr" rid="B19">L&#xfc; and Zheng, 2017</xref>). By contrast, the ISMR is shows a greater surplus during the following JJAS of CP El Ni&#xf1;o events and the peak in the ISMR anomalies occurs a month earlier than the peak in EP El Ni&#xf1;o events.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Climatology (1951&#x2013;2016) of the all-India monthly rainfall (green bars; units: mm day<sup>&#x2212;1</sup>) and the anomalies (units: mm day<sup>&#x2212;1</sup>) of the all-India monthly rainfall during the decaying years of EP El Ni&#xf1;o events (red) and CP El Ni&#xf1;o events (blue). The gray error bars indicate one standard deviation.</p>
</caption>
<graphic xlink:href="feart-10-978509-g002.tif"/>
</fig>
<p>The variations in the ISMR can be very different during the following JJAS, with suppressed (enhanced) rainfall in early summer for EP (CP) El Ni&#xf1;o events (<xref ref-type="fig" rid="F2">Figure 2</xref>). The opposite signs of the early summer rainfall over India associated with two the types of El Ni&#xf1;o event imply that the corresponding onset time of the ISM also shows contrasting differences, with a late (early) onset of the ISM for EP (CP) El Ni&#xf1;o events. The responses of the ISMR to the two types of El Ni&#xf1;o event are significantly different in early summer. The summer in El Ni&#xf1;o decaying years is therefore divided into early (June&#x2013;July, JJ) and late (August&#x2013;September, AS) summer in the following analysis to explore the anomalous atmospheric circulation and SST and the related physical mechanisms.</p>
</sec>
<sec id="s3-2">
<title>3.2 Anomalous atmospheric circulation during the following summer for the two types of El Ni&#xf1;o event</title>
<p>After inspecting the equatorial Indo-Pacific Ocean SSTAs related to the two types of El Ni&#xf1;o event and their different impacts on the following ISMR, we investigated the associated atmospheric circulation anomalies over the tropics. <xref ref-type="fig" rid="F3">Figure 3</xref> shows the EP and CP El Ni&#xf1;o composites of the 850&#xa0;hPa winds and the relative vorticity anomalies in early and late summer. During the decaying years of EP El Ni&#xf1;o events, an antisymmetric wind structure over the TIO is observed in early summer, with anomalous northeasterly flow to the north of the equator and anomalous northwesterly flow to the south of the equator (<xref ref-type="fig" rid="F3">Figure 3A</xref>). Such an antisymmetric wind pattern is forced by the sustained warming of the SST over the SWIO associated with the El Ni&#xf1;o-induced downwelling oceanic Rossby waves (<xref ref-type="bibr" rid="B21">Masumoto and Meyers, 1998</xref>; <xref ref-type="bibr" rid="B6">Du et al., 2009</xref>; <xref ref-type="bibr" rid="B40">Wu and Yeh, 2010</xref>). Anomalous northeasterly winds over the western NIO (WNIO) inhibit the southwest summer monsoon and reduce surface evaporation, thus delaying the onset of the ISM, leading to prominent warming of the SST over the NIO via the positive WES feedback (<xref ref-type="bibr" rid="B43">Xie and Philander, 1994</xref>). As a result of the westward expansion of the strong lower level easterlies over the NIO, less moisture is transported to South Asia and weak negative relative vorticity anomalies appear over the South Asian subcontinent (<xref ref-type="fig" rid="F3">Figure 3A</xref>), which also reduce early summer rainfall over India (<xref ref-type="fig" rid="F2">Figure 2</xref>). In late summer, however, the antisymmetric wind pattern is weakened and shifted eastward; weak westerly anomalies are observed over the WNIO (<xref ref-type="fig" rid="F3">Figure 3B</xref>), indicating the start of the ISM. These warm and humid southwesterly winds substantially enhance the supply of moisture to South Asia and lead to stronger moisture convergence over India and significantly positive relative vorticity anomalies <italic>in situ</italic>, resulting in excess rainfall in this sector during the following AS season of the EP El Ni&#xf1;o events.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<bold>(A)</bold> June&#x2013;July (JJ) and <bold>(B)</bold> August&#x2013;September (AS) mean wind anomalies at 850&#xa0;hPa (vectors; units: m s<sup>&#x2212;1</sup>) and their related relative vorticity anomalies (shading; units: 10<sup>&#x2212;6</sup>&#xa0;s<sup>&#x2212;1</sup>) for decaying EP El Ni&#xf1;o events. <bold>(C)</bold> and <bold>(D)</bold> are the same as <bold>(A)</bold> and <bold>(B)</bold>, but for CP El Ni&#xf1;o events. Only vectors with magnitudes greater than 0.2&#xa0;m&#xa0;s<sup>&#x2212;1</sup> are shown; cyan dots indicate relative vorticity anomalies above the 80% significance level.</p>
</caption>
<graphic xlink:href="feart-10-978509-g003.tif"/>
</fig>
<p>During the early summer of the CP El Ni&#xf1;o events, the lower level atmospheric circulation anomalies are similar to those for the late summer EP El Ni&#xf1;o events, with an eastward shift of the weakened antisymmetric wind pattern over the TIO (<xref ref-type="fig" rid="F3">Figure 3C</xref>). Significantly anomalous southwesterly winds over the WNIO cause the easterly anomalies to retreat eastward to the eastern Arabian Sea and then transport more moisture to South Asia. Significantly positive relative vorticity anomalies are also found over the south of the Indian subcontinent, leading to enhancement of the ISMR. This indicates that the ISM starts in JJ season when the onset time for the CP El Ni&#xf1;o is about two months earlier than that for the EP El Ni&#xf1;o. Two months later, anomalous southwesterly flow over the WNIO is gradually intensified and is more significant in AS season, along with the disappearance of the antisymmetric wind pattern over the TIO (<xref ref-type="fig" rid="F3">Figure 3D</xref>). Over India, significant convergence of the relative vorticity anomalies and the increase in the amount of moisture transported by the anomalous southwesterly winds give rise to more rainfall <italic>in situ</italic> (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<p>The velocity potential and divergence wind can be used to reflect the large-scale features of divergent motion (<xref ref-type="bibr" rid="B30">Tanaka et al., 2004</xref>). <xref ref-type="fig" rid="F4">Figure 4</xref> shows the differences between the velocity potential and divergence wind anomalies between 200 and 850&#xa0;hPa in early and late summer related to EP and CP El Ni&#xf1;o events. For the EP El Ni&#xf1;o events, the most significant and strongest upper level convergence anomalies are centered over the western equatorial Pacific in early summer (<xref ref-type="fig" rid="F4">Figure 4A</xref>), collocating with significantly negative local SSTAs (<xref ref-type="fig" rid="F1">Figure 1A</xref>), whereas insignificant upper level divergence anomalies are located over the TIO (<xref ref-type="fig" rid="F4">Figure 4A</xref>), along with the lower level antisymmetric wind pattern. In late summer, however, these upper level divergence anomalies are enhanced and are centered over the eastern TIO (<xref ref-type="fig" rid="F4">Figure 4B</xref>). This divergent circulation indicates ascending motion over the TIO, which favors excess rainfall over India in AS season. By contrast, for CP El Ni&#xf1;o events, the significant upper level divergence anomalies (and, by implication, ascending motion) in early summer are centered over the western TIO (<xref ref-type="fig" rid="F4">Figure 4C</xref>), whereas the anomalies in late summer extend into the maritime continent and are progressively intensified (<xref ref-type="fig" rid="F4">Figure 4D</xref>). Compared with the EP El Ni&#xf1;o events, the most prominent difference in the upper level circulation related to CP El Ni&#xf1;o events is the strong divergent anomalies over South Asia, which highlight the stronger ascending motion and higher rainfall during the following summer of CP El Ni&#xf1;o events, especially in early summer. These results confirm the late onset of the ISM and lower ISMR in early summer for EP El Ni&#xf1;o events, but a normal onset of the ISM and higher ISMR for CP El Ni&#xf1;o events.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<bold>(A)</bold> June&#x2013;July (JJ) and <bold>(B)</bold> August&#x2013;September (AS) vertical shear of the divergence wind (vectors; units: m <sup>&#x2212;1</sup>) and velocity potential (VP, shading; units: 106 m<sup>2</sup> s<sup>&#x2212;1</sup>) anomalies between 200 and 850 hPa for decaying eastern Pacific (EP) El Ni&#x00F1;o events. <bold>(C)</bold> and <bold>(D)</bold> are the same as <bold>(A)</bold> and <bold>(B)</bold>, but for CP El Ni&#x00F1;o events. Only vectors with magnitudes greater than 0.2 m s<sup>&#x2212;1</sup> are shown; cyan dots indicate relative vorticity anomalies above the 80% significance level.</p>
</caption>
<graphic xlink:href="feart-10-978509-g004.tif"/>
</fig>
<p>To further identify the possible connection between the ISMR and the local meridional cells associated with EP and CP El Ni&#xf1;o events, <xref ref-type="fig" rid="F5">Figure 5</xref> shows composites of the latitude&#x2013;height cross-sections of the wind and geopotential height anomalies averaged over India between 65 and 85&#xb0;E. An anomalous clockwise circulation in early summer is observed over the Indian subcontinent for EP El Ni&#xf1;o events (<xref ref-type="fig" rid="F5">Figure 5A</xref>), with significant anomalous descending (ascending) motion over northern India (the TIO), suppressing convective activity over India and leading to less rainfall, despite the slightly converging anomalies of the water vapor flux (figure not shown). The upper level southerly wind and southward geopotential height gradient anomalies over India are also related to the anomalous southwesterly winds, implying a delay and weakening of the ISM. Two months later, the significant anomalous sinking over northern India disappears and changes to ascending motion in the mid-troposphere from 300 to 500&#xa0;hPa (<xref ref-type="fig" rid="F5">Figure 5B</xref>). The inverted wind direction and geopotential height gradient indicate the occurrence of upper level northeasterly wind anomalies as well as the onset of the ISM, which both favor surplus rainfall in India in late summer.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>
<bold>(A)</bold> June&#x2013;July (JJ) and <bold>(B)</bold> August&#x2013;September (AS) for the meridional circulation (vectors; units: m s<sup>&#x2212;1</sup>) and geopotential height (shading; units: m) anomalies averaged from 65 to 85&#x00B0; for decaying eastern Pacific (EP) El Ni&#x00F1;o events. <bold>(C)</bold> and <bold>(D)</bold> are the same as <bold>(A)</bold> and <bold>(B)</bold>, but for CP El Ni&#x00F1;o events. The vertical pressure velocity is multiplied by a factor of &#x2212;50 for clarity. Gray crosses indicate geopotential height anomalies above the 80% significance level.</p>
</caption>
<graphic xlink:href="feart-10-978509-g005.tif"/>
</fig>
<p>By contrast, for CP El Ni&#xf1;o events, significant anomalous ascending motion over India and the TIO are present in both early and late summer, along with upper level northerly wind anomalies, small lower level southerly wind anomalies (<xref ref-type="fig" rid="F5">Figures 5C,D</xref>) and strong water vapor flux convergence anomalies (figure not shown). These types of circulation contribute to the onset of the ISM. The anomalous lower level southwesterlies with local convergence and ascending anomalies in late summer are stronger than those in early summer (<xref ref-type="fig" rid="F5">Figures 5C,D</xref>). As a result, they can transport more moisture to India, enhancing the ISMR.</p>
<p>We have shown that the two types of El Ni&#xf1;o event have different influences on the timing of the onset of the following ISM and ISMR. This is clearly due to the associated atmospheric circulation anomalies over the TIO in early summer. For EP El Ni&#xf1;o events, India is influenced by anomalous easterlies related to the lower level antisymmetric wind pattern over the TIO, which delay the onset of the ISM and then suppress the transport of moisture to India, resulting in less-than-normal ISMR in early summer. By contrast, for the CP El Ni&#xf1;o events, the enhanced southwesterly flow over the WNIO and weakened antisymmetric wind pattern over the TIO facilitate the onset of the ISM in early summer and also transport more moisture to South Asia. There is anomalous ascending motion over India, which boosts precipitation processes, leading to an increase in the ISMR.</p>
</sec>
<sec id="s3-3">
<title>3.3 Role of the sea surface temperature anomalies in the western northern Indian Ocean</title>
<p>Previous studies have shown that El Ni&#xf1;o events can modulate the ISM via the subsequent warming of the SST in the TIO (<xref ref-type="bibr" rid="B1">Alexander et al., 2002</xref>; <xref ref-type="bibr" rid="B18">Lau and Nath, 2003</xref>; <xref ref-type="bibr" rid="B6">Du et al., 2009</xref>). We also found remarkable differences in the strength and timing of the warming SSTA in the equatorial Indian Ocean in response to the two types of El Ni&#xf1;o event (see <xref ref-type="fig" rid="F1">Figure 1</xref>). We therefore further investigated the importance of the El Ni&#xf1;o-associated SSTA patterns in the TIO in determining the atmospheric circulations in the TIO during the following summer of El Ni&#xf1;o years (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>
<bold>(A)</bold> June&#x2013;July (JJ) and <bold>(B)</bold> August&#x2013;September (AS) for the SSTA (units: K; shading) in the tropical Indian Ocean. <bold>(C)</bold> and <bold>(D)</bold> are the same as <bold>(A)</bold> and <bold>(B)</bold>, but for CP El Ni&#xf1;o events. Purple dots indicate SSTA above the 80% significance level.</p>
</caption>
<graphic xlink:href="feart-10-978509-g006.tif"/>
</fig>
<p>During the early summer following EP El Ni&#xf1;o events, the SSTA is characterized by the significantly warmer-than-normal temperature in the TIO, especially in the NIO (<xref ref-type="fig" rid="F6">Figure 6A</xref>). This basin warming, which is the so-called second NIO SST warming (<xref ref-type="bibr" rid="B6">Du et al., 2009</xref>), can sustain an antisymmetric wind structure over the TIO with northeasterly (northwesterly) wind anomalies north (south) of the equator (see <xref ref-type="fig" rid="F3">Figure 3A</xref>) via positive WES feedback. The significant southwestward SST gradient in the WNIO corresponds to the maintenance of an anomalous northeasterly flow, which, in turn, delays the onset of the ISM. Two months later, warming of the SST in the NIO gradually weakens in late summer (<xref ref-type="fig" rid="F6">Figure 6B</xref>) and the positive SSTA in the WNIO decays faster and earlier than that in the eastern NIO (ENIO), corresponding to the weakening and eastward movement of the antisymmetric wind pattern over the TIO. This result indicates that the anomalous southwesterly flow transports more moisture to India and leads to excessive ISMR in late summer following EP El Ni&#xf1;o events.</p>
<p>The largest difference in the SSTA pattern related to CP El Ni&#xf1;o events compared with EP El Ni&#xf1;o events is a significant cooling of the SSTA in the western TIO, highlighting a key role of the negative SSTA in the different responses of the ISMR to the two types of El Ni&#xf1;o event. In early summer, significant warming of the SST is mainly concentrated in the NIO and the southeastern TIO, whereas a negative SSTA center is found along the eastern coast of Africa (<xref ref-type="fig" rid="F6">Figure 6C</xref>). Both the warming SSTA in the Arabian Sea and the cooling SSTA in the western TIO form a positive meridional SSTA gradient in the WNIO, which can excite local southwesterly wind anomalies (see <xref ref-type="fig" rid="F3">Figure 3C</xref>), contributing to the onset of the ISM. In AS season, the negative SSTA center along the coast of Africa is intensified and expanded, although warming of the SST in other regions is weakened (<xref ref-type="fig" rid="F6">Figure 6D</xref>). The increased meridional SSTA gradient in the WNIO therefore continues to strengthen the southwesterly anomalies, which favors the increased transport of moisture to India and enhances the ISMR in late summer.</p>
<p>To further distinguish the relative role of the SSTA, we examined the El Ni&#xf1;o composites for the monthly evolution of the SSTA in some key regions (<xref ref-type="fig" rid="F7">Figure 7</xref>). It is clear that there are remarkably different responses of the SSTA in the NIO to different types of El Ni&#xf1;o events. The warming of the SST over the NIO related to EP El Ni&#xf1;o events (0&#x2013;20&#xb0;N, 50&#x2013;100&#xb0;E) is characterized by double peaks in the developing November and the following June, whereas the warming of the SST over the NIO related to CP El Ni&#xf1;o events increases slowly with time and shows a single peak in the following March (<xref ref-type="fig" rid="F7">Figure 7A</xref>). This result for CP El Ni&#xf1;o events is inconsistent with the double warming of the NIO associated with El Ni&#xf1;o events reported by <xref ref-type="bibr" rid="B6">Du et al. (2009)</xref>.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Monthly evolution of the sea surface temperature anomaly (SSTA; units: K) over <bold>(A)</bold> the northern Indian Ocean (NIO; 0&#x2013;20&#xb0;N, 50&#x2013;100&#xb0;E), <bold>(B)</bold> the western NIO (WNIO, 0&#x2013;20&#xb0;N, 50&#x2013;80&#xb0;E), <bold>(C)</bold> the eastern NIO (ENIO, 0&#x2013;20&#xb0;N, 80&#x2013;100&#xb0;E) during EP El Ni&#xf1;o (blue) and CP El Ni&#xf1;o (red) events. The time axis is from July of the El Ni&#xf1;o developing year (0) to December of the following year (&#x2b;1). Markers indicate signals statistically significant at the 90% confidence level. <bold>(D)</bold> Monthly evolution of the differences in the SSTA (units: K) between the Arabian Sea (15&#x2013;25&#xb0;N, 55&#x2013;75&#xb0;E) and the western TIO (WTIO, 10&#xb0;S&#x2013;10&#xb0;N, 40&#x2013;60&#xb0;E).</p>
</caption>
<graphic xlink:href="feart-10-978509-g007.tif"/>
</fig>
<p>The warming of the SST over the NIO in the following summer also shows a non-uniform zonal distribution in the two types of events (<xref ref-type="fig" rid="F6">Figure 6</xref>). Significant double warming peaks are observed over the WNIO (0&#x2013;20&#xb0;N, 50&#x2013;80&#xb0;E) during EP El Ni&#xf1;o events, but only a single warming peak during CP El Ni&#xf1;o events (<xref ref-type="fig" rid="F7">Figure 7B</xref>), consistent with the results for the NIO shown in <xref ref-type="fig" rid="F7">Figure 7A</xref>. However, the responses of the SSTA over the ENIO (0&#x2013;20&#xb0;N, 80&#x2013;100&#xb0;E) to the two types of El Ni&#xf1;o events show few differences, with a single warming peak in the following March (<xref ref-type="fig" rid="F7">Figure 7C</xref>). These results indicate that the warming SSTA in the WNIO makes a major contribution to the warming pattern of the SST in the NIO, whereas the counterpart in the ENIO has little effect.</p>
<p>Significantly different responses of the SSTA in the WNIO can result in different meridional SSTA gradients between the Arabian Sea (15&#x2013;25&#xb0;N, 55&#x2013;75&#xb0;E) and the western TIO (10&#xb0;S&#x2013;10&#xb0;N, 40&#x2013;60&#xb0;E). As a result of the double warming peaks in the NIO associated with EP El Ni&#xf1;o events, the negative meridional SSTA gradient persists from the winter to the following early summer (<xref ref-type="fig" rid="F7">Figure 7D</xref>), which favors the maintenance of the northeasterly wind anomalies and leads to a delay in the onset of the ISM, suppressing ISMR in early summer. Until late summer, the meridional SSTA gradient changes from negative to slightly positive, heralding the onset of the ISM and an increase in the ISMR. By contrast, when the single warming peak related to CP El Ni&#xf1;o events decays in early summer, the meridional SSTA gradient becomes positive and then remains significantly positive from the following May to September (<xref ref-type="fig" rid="F7">Figure 7D</xref>), which corresponds to the anomalous southwesterly wind in the WNIO. This wind anomaly can contribute to the onset and intensification of the ISM, resulting in the enhanced ISMR. These analyses show that the different SSTAs in the WNIO associated with the two types of El Ni&#xf1;o event are primarily attributed to the differences in the early summer ISMR anomalies between the EP and CP El Ni&#xf1;o events.</p>
</sec>
<sec id="s3-4">
<title>3.4 Possible physical mechanisms</title>
<p>We have considered the remarkable differences in the anomalous SST and atmospheric circulation patterns over the NIO associated with the two types of El Ni&#xf1;o event. To investigate the possible physical mechanism of how the different SSTAs in the NIO might modulate the circulation related to the ISMR, we examined the monthly evolution of three groups of the ISM strength index in decaying years of the EP and CP El Ni&#xf1;o events (<xref ref-type="fig" rid="F8">Figure 8</xref>). The Indian monsoon index (IMI; <xref ref-type="bibr" rid="B33">Wang and Fan, 1999</xref>) is used to indicate the difference in the 850&#xa0;hPa zonal wind between the southern Arabian Sea (5&#x2013;15&#xb0;N, 40&#x2013;80&#xb0;E) and the northern Indian continent (20&#x2013;30&#xb0;N, 70&#x2013;90&#xb0;E). The Indian rainfall index (IRI; <xref ref-type="bibr" rid="B29">Shukla and Paolino, 1983</xref>) refers to the standardized Indian rainfall, similar to the ISMR (shown in <xref ref-type="fig" rid="F2">Figure 2</xref>) in this study. The Webster&#x2013;Yang index (<xref ref-type="bibr" rid="B38">Webster and Yang, 1992</xref>) denotes the zonal wind shear between 850 and 200&#xa0;hPa over the NIO (0&#x2013;20&#xb0;N, 40&#x2013;110&#xb0;E). The changes in these three indices from negative to positive represent the onset of the ISM. The IMI and the Webster&#x2013;Yang index lead and lag the IRI, respectively (<xref ref-type="fig" rid="F8">Figure 8</xref>), indicating that the onset of the ISM manifests first in the lower level zonal wind field, then in the rainfall over India and finally in the vertical shear of the zonal wind over the NIO.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Composites of the monsoon indices for the decaying years of <bold>(A)</bold> EP and <bold>(B)</bold> CP El Ni&#xf1;o events. IMI (&#x2212;1), IRI (0) and WYI (1) represent the one-month-ahead Indian monsoon index, the simultaneous Indian rainfall index and the one-month-behind Webster&#x2013;Yang index, respectively.</p>
</caption>
<graphic xlink:href="feart-10-978509-g008.tif"/>
</fig>
<p>For EP El Ni&#xf1;o events, the second NIO SST warming peak in the following June (<xref ref-type="fig" rid="F7">Figure 7A</xref>) induces the lower level antisymmetric wind over the TIO and its resultant northeasterly anomalies over the Arabian Sea inhibit the onset of the ISM, leading to a negative value of the simultaneous IMI. This lower level circulation decreases the transport of moisture and then gives rise to the negative IRI anomalies in early summer, which suppress the release of the heat of condensation over South Asia, resulting in negative zonal wind shear over the NIO in the following August (<xref ref-type="fig" rid="F8">Figure 8A</xref>). By contrast, the single SST warming induced by CP El Ni&#xf1;o events, which peaks in the following March, decays quickly during the late spring and summer (<xref ref-type="fig" rid="F7">Figure 7A</xref>). The early summer SST cooling in the western TIO (<xref ref-type="fig" rid="F6">Figure 6C</xref>) directly causes the significantly positive meridional SSTA gradient in the WNIO, which induces lower level southwesterly wind anomalies (<xref ref-type="fig" rid="F3">Figure 3C</xref>), corresponding to the positive IMI in the following June and the onset of the ISM (<xref ref-type="fig" rid="F8">Figure 8B</xref>). This lower level circulation can cause an eastward shift in the decreased lower level antisymmetric wind over the TIO, which favors the onset of the ISM.</p>
<p>A comparison between EP and CP El Ni&#xf1;o events suggests that the time of onset of the ISM circulation and the ISMR for CP El Ni&#xf1;o events is about two months earlier than that of EP El Ni&#xf1;o events. Anomalous ascending motion over India also enhances the positive IRI anomalies and the resultant release of the heat of condensation in early summer, leading to positive zonal wind shear over the NIO in the following July (<xref ref-type="fig" rid="F8">Figure 8B</xref>). These results confirm that the different SSTA gradients in the WNIO attributed to the diversity of El Ni&#xf1;o events can affect the time of onset of the ISM circulation in the early summer following the El Ni&#xf1;o event and can therefore result in a deficit (surplus) in the ISMR associated with EP (CP) El Ni&#xf1;o events.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Summary and discussion</title>
<p>Previous studies have shown a good correlation between the ISMR and ENSO on interannual scales, but this relationship has weakened since the 1990s, which might be attributed to the more frequent occurrence of CP El Ni&#xf1;o events. We have revisited the interannual relationships of the ISMR with the diversity of El Ni&#xf1;o events and examined its possible physical mechanism using observations and reanalysis datasets for the time period 1951&#x2013;2016. Statistical analyses show that the ISMR has the most pronounced interannual variation and its responses to the decaying phase of EP and CP El Ni&#xf1;o events show remarkable differences. In particular, the delay in the onset of the ISM and a reduced ISMR are found during the following early summer of EP El Ni&#xf1;o events, whereas excess ISMR is observed in late summer. By contrast, there is excess ISMR in the summer following CP El Ni&#xf1;o events and the related rainfall peak occurs 1&#xa0;month earlier than for EP El Ni&#xf1;o events. Further analysis showed that the warming of the SST in the NIO related to EP El Ni&#xf1;o events is characterized by double peaks (mainly in WNIO but not in ENIO), but the warming related to CP El Ni&#xf1;o events shows only a single peak. These differences primarily contribute to the differences in the early summer ISMR between EP and CP El Ni&#xf1;o events. In addition, the WTIO cooling SSTA in CP El Ni&#xf1;o plays a major contribution to the early onset of ISM circulation through generating the meridional SSTA gradient.</p>
<p>
<xref ref-type="fig" rid="F9">Figure 9</xref> summarizes the SSTA and atmospheric responses over the NIO to EP and CP El Ni&#xf1;o events and their influences on ISMR in the early summer of the decaying years. During early summer following an EP El Ni&#xf1;o event, the second SST warming peak contributes to the lower level antisymmetric wind over the TIO via a positive WES feedback. The lower level northeasterly anomalies over the Arabian Sea caused by the antisymmetric wind pattern delay the onset of the ISM and therefore decrease the transport of moisture to South Asia, accompanied by upper level southwesterly anomalies and descending motion over India, ultimately resulting in a decrease in the ISMR (<xref ref-type="fig" rid="F9">Figure 9A</xref>). By contrast, cooling of the SST in the western TIO and the rapid decay of the single warming peak of the SST in the NIO associated with CP El Ni&#xf1;o events directly cause the significantly positive meridional SSTA gradient in the WNIO and drive the lower level southwesterly wind anomalies. This lower level circulation causes an eastward shift in the decreased antisymmetric wind over the TIO, which favors the onset of the ISM circulation. Both the upper level divergence anomalies over the TIO and the lower level southwest monsoon interact with each other and jointly induce anomalous ascending motion over India, leading to an increase in ISMR (<xref ref-type="fig" rid="F9">Figure 9B</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Schematic diagram illustrating the mechanism of the responses of the sea surface temperature anomaly in the northern Indian Ocean to <bold>(A)</bold> EP and <bold>(B)</bold> CP El Ni&#xf1;o events and their effects on Indian summer monsoon rainfall in early summer (June&#x2013;July) in decaying years.</p>
</caption>
<graphic xlink:href="feart-10-978509-g009.tif"/>
</fig>
<p>These results suggest that a cold SSTA in the western TIO could be an important factor in modulating the ISMR anomalies related to CP El Ni&#xf1;o events. However, details of its impact process or the remote teleconnection path by which CP El Ni&#xf1;o events affect the SSTA in the western TIO have not been established. <xref ref-type="bibr" rid="B31">Tao et al. (2014)</xref> suggested that cooling of the SST in the eastern equatorial Pacific prevents the tropospheric temperature mechanism and the Rossby wave process from warming the SST in the TIO, leading to a weaker response of the SST to CP El Ni&#xf1;o events. The response of the SST in the TIO to the diversity of El Ni&#xf1;o events is complex and requires further investigation. It should be noted that, although the 1986&#x2013;1987 El Ni&#xf1;o event is classified as an eastern Pacific event in our classification, the following ISMR anomalies were strongly negative, differing from the composite results of the EP and CP El Ni&#xf1;o events, which suggests that the ISMR may also be modulated by other factors. In addition, our results are based on statistical analyses with a small sample size and the possible physical mechanism of different responses of the ISMR to the diversity of El Ni&#xf1;o events requires further modeling.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>KX and WW conceived the idea and designed the study. XZ and KX processed and analyzed the datasets, performed the relevant statistical analysis, and wrote the first draft of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This work was jointly sponsored by the National Natural Science Foundation of China (42076020), the National Key R&#x26;D Program of China (2019YFA0606701), the Youth Innovation Promotion Association CAS (2020340), the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0306), the Rising Star Foundation of the SCSIO (NHXX2018WL0201), and the Independent Research Project Program of LTO (LTOZZ2101).</p>
</sec>
<ack>
<p>We would like to acknowledge the China-Sri Lanka Joint Center for Education and Research (CSL-CER), Chinese Academy of Science.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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