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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Astron. Space Sci.</journal-id>
<journal-title>Frontiers in Astronomy and Space Sciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Astron. Space Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-987X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">973276</article-id>
<article-id pub-id-type="doi">10.3389/fspas.2022.973276</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Astronomy and Space Sciences</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Dependence of the global dayside reconnection rate on interplanetary magnetic field B<sub>y</sub> and the earth&#x2019;s dipole tilt</article-title>
<alt-title alt-title-type="left-running-head">Reistad 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/fspas.2022.973276">10.3389/fspas.2022.973276</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Reistad</surname>
<given-names>Jone Peter</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1427793/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Holappa</surname>
<given-names>Lauri</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1603401/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ohma</surname>
<given-names>Anders</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1748395/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gabrielse</surname>
<given-names>Christine</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sur</surname>
<given-names>Dibyendu</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1878619/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Asikainen</surname>
<given-names>Timo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>DeJong</surname>
<given-names>Anna</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Birkeland Centre for Space Science</institution>, <institution>University of Bergen</institution>, <addr-line>Bergen</addr-line>, <country>Norway</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Space Physics and Astronomy Research Unit</institution>, <institution>University of Oulu</institution>, <addr-line>Oulu</addr-line>, <country>Finland</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>The Aerospace Corporation</institution>, <addr-line>El Segundo</addr-line>, <addr-line>CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>CIRES</institution>, <institution>University of Colorado Boulder</institution>, <addr-line>Boulder</addr-line>, <addr-line>CO</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Narula Institute of Technology</institution>, <addr-line>Kolkata</addr-line>, <country>India</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Howard Community College</institution>, <addr-line>Columbia</addr-line>, <addr-line>MD</addr-line>, <country>United States</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>NASA Goddard Space Flight Center</institution>, <addr-line>Greenbelt</addr-line>, <addr-line>MD</addr-line>, <country>United States</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/679777/overview">Marian Lazar</ext-link>, Ruhr University Bochum, Germany</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/1409003/overview">Weijie Sun</ext-link>, University of Michigan, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1886627/overview">Elizabeth Mitchell</ext-link>, JHUAPL, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Jone Peter Reistad, <email>jone.reistad@uib.no</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Space Physics, a section of the journal Frontiers in Astronomy and Space Sciences</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>973276</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>06</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>08</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Reistad, Holappa, Ohma, Gabrielse, Sur, Asikainen and DeJong.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Reistad, Holappa, Ohma, Gabrielse, Sur, Asikainen and DeJong</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>In the recent years, significant attention has been given to the combined effect of Interplanetary Magnetic Field (IMF) duskward component (B<sub>y</sub>) and dipole tilt on the global magnetosphere-ionosphere system response. Numerous studies have pointed out that when the Earth&#x2019;s magnetic dipole is tilted away from the Sun (negative dipole tilt during northern winter), and IMF has a positive B<sub>y</sub> component, the effects on ionospheric currents, particle precipitation, ionospheric convection, and average size of the auroral oval, is significantly more enhanced, compared to when IMF B<sub>y</sub> is negative. Furthermore, this IMF B<sub>y</sub> polarity effect reverses when Earth&#x2019;s dipole is tilted in the opposite direction. The underlying cause has remained unclear. Our analysis shows that substorms tend to be stronger during the same IMF B<sub>y</sub> and dipole tilt polarity combination. Taken together with earlier results showing also more frequent substorms during the same conditions, our observations suggests that when IMF B<sub>y</sub> and dipole tilt have opposite signs, there is a more efficient global dayside reconnection rate. We also show analysis of the occurrence frequency of periods of Steady Magnetospheric Convection, substorm onset latitude, and the isotropic boundary of proton precipitation, that are all consistent with our conclusion that the combination of IMF B<sub>y</sub> and dipole tilt polarity affect the global dayside reconnection rate.</p>
</abstract>
<kwd-group>
<kwd>explicit by</kwd>
<kwd>dayside reconnection</kwd>
<kwd>global reconnection</kwd>
<kwd>asymmetry</kwd>
<kwd>substorm strength</kwd>
<kwd>SMC</kwd>
<kwd>onset latitude</kwd>
</kwd-group>
<contract-sponsor id="cn001">Norges Forskningsr&#xe5;d<named-content content-type="fundref-id">10.13039/501100005416</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Academy of Finland<named-content content-type="fundref-id">10.13039/501100002341</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">National Aeronautics and Space Administration<named-content content-type="fundref-id">10.13039/100000104</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Understanding the mechanisms that cause the range of different near-Earth space phenomena is often a difficult task. The system is highly coupled, from the thermosphere/ionosphere to the solar wind. It can therefore be challenging to determine the underlying cause of observed phenomena, as multiple processes occurring in different regions, alone or in combination, may produce very similar observational signatures.</p>
<p>This paper addresses why we observe a different behaviour of the magnetosphere-ionosphere system when the B<sub>y</sub> component of the Interplanetary Magnetic Field (IMF) is positive vs negative during periods when the Earth&#x2019;s magnetic axis is tilted towards or away from the Sun. Although first mentioned by <xref ref-type="bibr" rid="B8">Friis-Christensen and Wilhjelm (1975)</xref>, it was not until recently that this topic has been revisited and further characterized. Friis-Christensen and Wilhjelm noted that during northern hemisphere winter (negative dipole tilt angle, &#x3a8;), the westward electrojet was significantly stronger for positive compared to negative IMF B<sub>y</sub> during otherwise similar IMF B<sub>z</sub> conditions. <xref ref-type="bibr" rid="B12">Holappa and Mursula (2018)</xref> revisited this effect on the westward electrojet and established that these differences were not due to the Russell-McPherron effect (<xref ref-type="bibr" rid="B39">Russell and McPherron, 1973</xref>). They called this the <italic>explicit B</italic>
<sub>
<italic>y</italic>
</sub> <italic>effect</italic> to differentiate it from the Russell-McPherron effect, which is essentially due to seasonally varying correlation between IMF B<sub>y</sub> and the geoeffective B<sub>z</sub> component (IMF B<sub>y</sub> not directly causing the Russell-McPherron effect). <xref ref-type="bibr" rid="B12">Holappa and Mursula (2018)</xref> quantified the difference in electrojet strength to be about 50 percent during winter conditions. During summer conditions, the IMF B<sub>y</sub> dependence reverses as the westward electrojet is stronger for negative compared to positive IMF B<sub>y</sub>, but the effect on the westward electrojet is minor compared to the difference during winter conditions (<xref ref-type="bibr" rid="B12">Holappa and Mursula, 2018</xref>; <xref ref-type="bibr" rid="B14">Holappa et al., 2021b</xref>).</p>
<p>The large IMF B<sub>y</sub> and seasonal related asymmetries in the westward electrojet sparked the interest for investigating other aspects of the coupled system for similar behavior. <xref ref-type="bibr" rid="B37">Reistad et al. (2020)</xref> reported similar asymmetries in the average size of the polar cap. During negative dipole tilt, they found larger polar caps in both hemispheres when IMF B<sub>y</sub> is positive compared to negative. The &#xb1; B<sub>y</sub> asymmetry reversed when the dipole was tilted in the opposite direction. Since the same behaviour was seen in both the winter and summer hemisphere for a specific IMF B<sub>y</sub> polarity, ionospheric effects related to season could not alone explain the observations. They suggested that in addition, one or both of the following scenarios must be the case: A) The global dayside reconnection rate depends on IMF B<sub>y</sub> polarity when Earth&#x2019;s dipole is tilted, allowing for a stronger Dungey cycle and more energy input to the system when IMF B<sub>y</sub> and &#x3a8; have opposite signs; or B) When Earth&#x2019;s dipole is tilted, IMF B<sub>y</sub> has an influence on the amount of magnetic flux the magentotail lobes typically can support, for a given dayside reconnection rate. While the results reported by <xref ref-type="bibr" rid="B37">Reistad et al. (2020)</xref> indicate a global difference in the magnetospheric response, the minor effect on the westward electrojet in the summer hemisphere compared to the winter hemisphere suggests that the influence on the ionospheric currents are more complex than what can be explained by type A and B mechanisms.</p>
<p>Other aspects of the solar wind - magnetosphere coupling has also been investigated in this regard. <xref ref-type="bibr" rid="B10">Holappa et al. (2020)</xref> and <xref ref-type="bibr" rid="B11">Holappa and Buzulukova (2022)</xref> found that fluxes of precipitating energetic electrons and protons in both hemispheres show a very similar asymmetry, namely that the precipitation is more intense when IMF B<sub>y</sub> and &#x3a8; have opposite signs, compared to when they have the same sign, during otherwise similar IMF B<sub>z</sub> conditions. <xref ref-type="bibr" rid="B11">Holappa and Buzulukova (2022)</xref> showed that the growth rate of the ring current (measured by the Dst index) also exhibits a similar B<sub>y</sub>-dependence. <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref> investigated the occurrence frequency of magnetospheric substorms during periods of either positive or negative IMF B<sub>y</sub>. Based on several independent lists of identified substorms, they concluded that substorms are more frequent when the sign of IMF B<sub>y</sub> and &#x3a8; are opposite, compared to when IMF B<sub>y</sub> has the same sign as the dipole tilt. These findings further indicate that the explicit B<sub>y</sub>-effect is a global phenomenon, which is likely related to a type A or B mechanism (or both) as mentioned above. Since dayside and nightside reconnection are the processes that allow for opening and closure of magnetic flux; the steady state, in which we interpret the long-term averages to represent (<xref ref-type="bibr" rid="B19">Laundal et al., 2020</xref>), must represent a balance of the two. The observed changes of the steady state open flux content depending on IMF B<sub>y</sub>/&#x3a8; polarity must therefore either be due to a type A or B mechanism (or both). These spatially separated processes (A: dayside and B: tail) are nevertheless highly coupled, as the dayside loading affects the conditions in the magnetotail, making the interpretation of the data analysis highly challenging, as will be elaborated on in more detail in the following.</p>
<p>
<xref ref-type="bibr" rid="B38">Reistad et al. (2021)</xref> studied ionospheric convection on the basis of Doppler-shift from ground based HF radar echoes. They presented climatological patterns of the high latitude convection pattern during IMF B<sub>y</sub> dominated periods, for various dipole tilt intervals. By normalizing the observed convection to the present size of the polar cap as inferred from simultaneous observations from the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE), they were able to distinguish the contribution from lobe reconnection on the global convection pattern, which were found to be more efficient during local summer. This allowed the authors to quantify the part of the convection associated with dayside (and nightside) reconnection. Their results indicated that when IMF B<sub>y</sub> and dipole tilt had opposite polarity, the Dungey cycle was slightly enhanced <inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mo>&#x223c;</mml:mo>
<mml:mn>10</mml:mn>
<mml:mi>%</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>.</p>
<p>The results presented above demonstrate that the global magnetospheric response to positive and negative IMF B<sub>y</sub> is different when &#x3a8; is nonzero: The westward electrojet is stronger, particle precipitation is more intense, substorms are more frequent, the polar cap is larger, and the ring current increases more rapidly when the signs of IMF B<sub>y</sub> and &#x3a8; are opposite. Previous studies have not identified whether this is mainly due to differences in the dayside coupling (type A) or mainly due to differences in how the tail responds to the same flux loading, influencing the amount of magnetic flux the lobes typically sustain (type B). However, there are key differences in how the magnetosphere and ionosphere are expected to respond between the type A and type B mechanisms, enabling new insights to be obtained about their relative importance.</p>
<p>If the observed explicit B<sub>y</sub> effects are solely a result of mechanism B, the flux throughput in the (tilted) magnetosphere should be the same for both polarities of IMF B<sub>y</sub>, if all other solar wind parameters are equal. Since substorms are more frequent for opposite signs of IMF B<sub>y</sub> and &#x3a8;, the substorms must either be stronger (closing more flux) or the flux must be transported by another process when IMF B<sub>y</sub> and &#x3a8; have the same sign. In addition to substorms, the magnetosphere can respond to solar wind forcing by entering into steady magnetospheric convection (SMC) periods (e.g., <xref ref-type="bibr" rid="B42">Sergeev et al., 1996</xref>; <xref ref-type="bibr" rid="B17">Kissinger et al., 2012</xref>). Hence, a type B process would imply weaker substorms and/or less frequent SMC events for opposite signs of IMF B<sub>y</sub> and &#x3a8;. On the other hand, mechanism A demands the flux throughput to be greater in the magnetospheric system for positive B<sub>y</sub> during Northern Hemisphere (NH) winter and for negative B<sub>y</sub> during NH summer. If the occurrence frequency of SMCs and the strength of substorms follow the same dependence as the other observed phenomena (stronger for opposite signs of IMF B<sub>y</sub> and &#x3a8;), it would suggest the influence of a type A mechanism in producing the observed explicit B<sub>y</sub> effects.</p>
<p>In this paper, we present new analyses to demonstrate how IMF B<sub>y</sub> and &#x3a8; in combination affects the response of the magnetosphere-ionosphere system. The goal is to address whether mechanisms A or B are the main contributor to the explicit B<sub>y</sub> effects. We will address how the occurrence frequency of SMC events are modulated and use various proxies to assess the global substorm strength. In the following section we will present our new analysis contributing to the investigation of the origin of the explicit B<sub>y</sub> effect. The methodology used in the presented analysis is outlined as the results are presented. Our new results are discussed together with the existing knowledge on the topic in <xref ref-type="sec" rid="s3">section 3</xref>. Our main conclusions are explicitly stated in the concluding section.</p>
</sec>
<sec id="s2">
<title>2 Results</title>
<p>When comparing the magnetosphere responses to intervals of positive and negative IMF B<sub>y</sub> and dipole tilt, it is important that we compare instances with similar dayside forcing. This is largely controlled by the IMF B<sub>z</sub> component. In all our analyses, we use the dayside coupling function presented by <xref ref-type="bibr" rid="B28">Milan et al. (2012)</xref>, which is set out to quantify the global dayside reconnection rate, &#x3a6;<sub>
<italic>D</italic>
</sub> [Wb/s], in response to the upstream IMF and solar wind, given by the formula<disp-formula id="e1">
<mml:math id="m2">
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="normal">&#x3a6;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>D</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mi mathvariant="normal">&#x39b;</mml:mi>
<mml:msubsup>
<mml:mrow>
<mml:mi>V</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>x</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>4</mml:mn>
<mml:mo>/</mml:mo>
<mml:mn>3</mml:mn>
</mml:mrow>
</mml:msubsup>
<mml:msub>
<mml:mrow>
<mml:mi>B</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mtext>yz</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mi>sin</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>9</mml:mn>
<mml:mo>/</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mi>&#x3b8;</mml:mi>
<mml:mo>/</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:mfenced>
<mml:mo>.</mml:mo>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>Here, &#x39b; &#x3d; 3.3 &#x22c5; 10<sup>5</sup>&#xa0;m<sup>2</sup>
<sup>/3</sup>s<sup>1/3</sup> is a scaling constant related to the length of the dayside X-line, <italic>V</italic>
<sub>
<italic>x</italic>
</sub> is the solar wind velocity in the anti-sunward direction, <italic>B</italic>
<sub>yz</sub> is the magnitude of the IMF vector perpendicular to the Sun-Earth line, and <italic>&#x3b8;</italic> is the IMF clock angle. When SI units are used, &#x3a6;<sub>
<italic>D</italic>
</sub> gets the units of Wb/s &#x3d; Volt, representing the rate of conversion of magnetic flux from a closed to open topology on the dayside.</p>
<p>As noted by <xref ref-type="bibr" rid="B13">Holappa et al. (2021a)</xref>, the particular choice of coupling function is typically not crucial for this kind of analyses, yet they provide a convenient way to select periods of similar forcing for comparison. In all plots, the dayside coupling value is normalized to its mean value from the entire analysis period. This normalized coupling parameter we denote &#x3a6;<sub>
<italic>D</italic>
</sub>/&#x27e8;&#x3a6;<sub>
<italic>D</italic>
</sub>&#x27e9;. We use IMF data time shifted to the bow shock of the Earth from the OMNI database (<xref ref-type="bibr" rid="B15">King and Papitashvili, 2005</xref>).</p>
<sec id="s2-1">
<title>2.1 Occurrence of steady magnetospheric convection intervals: Interplanetary magnetic field B<sub>y</sub> and dipole tilt dependence</title>
<p>The magnetosphere can enter different &#x201c;modes&#x201d; of response to the energy input from the interplanetary medium. The perhaps most common situation is the so-called loading/un-loading cycle in which the magnetospheric substorm plays a central role. The typical sequence of events is a growth phase (dayside loading dominates) (<xref ref-type="bibr" rid="B23">McPherron, 1970</xref>), followed by the onset of a rapid expansion phase coinciding with the initiation of intense tail reconnection. In a typical &#x201c;isolated&#x201d; substorm, the magnetosphere transitions into a so-called recovery phase, characterized by the return to a quiet geomagnetic level (<xref ref-type="bibr" rid="B35">Ohtani and Gjerloev, 2020</xref>). However, if the IMF remain southward, the system may transition into a situation where the nightside and dayside merging rates are approximately balanced, marking the onset of a <italic>Steady Magnetospheric Convection</italic> (SMC) period (<xref ref-type="bibr" rid="B42">Sergeev et al., 1996</xref>). <xref ref-type="bibr" rid="B27">Milan et al. (2021)</xref> did a manual classification of the convection state of the magnetosphere system during the year 2010. He referred to the SMC intervals as a <italic>driven</italic> phase, and found it to occur during 18% of the time, in contrast to the traditional substorm phases occurring 23% of the time during that year. Hence, it seems likely that a significant amount of the magnetic flux throughput may take place during periods of SMC. Similar to looking at the occurrence rate and strength of substorms, it is thus relevant to look at how the combination of IMF B<sub>y</sub> and dipole tilt affect the occurrence of SMC events, as they also represent information about the external forcing and how the magnetosphere responds to the forcing.</p>
<p>To investigate how the occurrence frequency of SMC events are modulated by IMF B<sub>y</sub> and dipole tilt conditions, we use two different lists of identified SMC intervals. The <italic>Kissinger</italic> list contain 3444 SMC intervals with a minimum duration of 90 min, from the time period 1997&#x2013;2013. The list is described in (<xref ref-type="bibr" rid="B18">Kissinger et al., 2011</xref>, <xref ref-type="bibr" rid="B17">2012</xref>) and has been compiled by a combination of selection criteria based on the Auroral Electrojet index and manual inspection, and made publicly available recently (<xref ref-type="bibr" rid="B16">Kissinger et al., 2022</xref>). We also make use of the SMC list described by <xref ref-type="bibr" rid="B6">Dejong (2014)</xref> that goes from 1997 to 2015. Their list requires steadiness in the AL-index of at least 3&#xa0;h and uses a seasonal cutoff in activity in AE-index as described in <xref ref-type="bibr" rid="B24">McWilliams et al. (2008)</xref>. We use an extended version of the list described, where the extended part (2008&#x2013;2015) only differ from their published list by not having applied the manual inspection of possible particle injection signatures at geosynchronous orbit (such events was removed in the published list). Common for both SMC lists is that steadiness in magnetospheric activity is the core selection criteria, which is quantified by how rapid the AL index is allowed to change in a sliding window [20&#xa0;min in <xref ref-type="bibr" rid="B6">Dejong (2014)</xref> and 30&#xa0;min in <xref ref-type="bibr" rid="B18">Kissinger et al. (2011)</xref>]. We group the SMC events into two groups based on the mean IMF B<sub>y</sub> in the hour preceding each event (B<sub>y</sub>
<inline-formula id="inf2">
<mml:math id="m3">
<mml:mo>&#x3c;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
</mml:math>
</inline-formula> nT and B<sub>y</sub>
<inline-formula id="inf3">
<mml:math id="m4">
<mml:mo>&#x3e;</mml:mo>
<mml:mn>2</mml:mn>
</mml:math>
</inline-formula> nT). The main reason for considering the hour proceeding the event is that we are interested in whether our selection parameters may influence the initiation of the SMC. We further associate each SMC interval with the rate of dayside reconnection during the hour preceding the SMC onset using the &#x3a6;<sub>
<italic>D</italic>
</sub> parameter normalized to the mean of all the 60&#xa0;min &#x3a6;<sub>
<italic>D</italic>
</sub> values during the entire time period of each list, referred to as &#x27e8;&#x3a6;<sub>
<italic>D</italic>
</sub>&#x27e9;.</p>
<p>In <xref ref-type="fig" rid="F1">Figure 1</xref>, the number of SMC events within the indicated &#x3a8; (different columns) and &#x3a6;<sub>
<italic>D</italic>
</sub>/&#x27e8;&#x3a6;<sub>
<italic>D</italic>
</sub>&#x27e9; intervals (x-axis) are normalized to the amount of time the selection conditions was fulfilled in the period of the SMC lists. If one group (shown as a data point in <xref ref-type="fig" rid="F1">Figure 1</xref>) has in total 100 SMC events, and the conditions of that specific group is met for a cumulative total of 100 days during the span of the list, the occurrence frequency will be one per day. This represent our measure of SMC events per day (y-axis), which is computed separately for the positive (orange) and negative (blue) IMF B<sub>y</sub> conditions. The number of SMC events in each group is indicated with its respective color in each panel. Similar to <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref>, the uncertainty is estimated by re-sampling with replacement (bootstrapping), leading to a distribution of SMC events per day that is normal, from which its &#xb1; 1 standard deviation is interpreted as the uncertainty in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Average occurrence rates of SMC intervals (number per day on y-axis) versus increasing levels of dayside reconnection rate. Top row: SMC list described by <xref ref-type="bibr" rid="B17">Kissinger et al. (2012)</xref>. Bottom row: SMC list described by <xref ref-type="bibr" rid="B6">Dejong (2014)</xref>. An explicit B<sub>y</sub> dependence in the SMC occurence rates are seen in both lists: Opposite B<sub>y</sub>/tilt polarity also lead to more frequent SMC intervals.</p>
</caption>
<graphic xlink:href="fspas-09-973276-g001.tif"/>
</fig>
<p>Similar to the occurrence rates of substorms (<xref ref-type="bibr" rid="B34">Ohma et al., 2021</xref>), the SMC occurrences in <xref ref-type="fig" rid="F1">Figure 1</xref> exhibit a so-called explicit B<sub>y</sub>-dependence. Namely, for a given orientation of the dipole tilt, &#x3a8;, SMC intervals take place more frequently when &#x3a8; and IMF B<sub>y</sub> have opposite signs compared to when they have the same sign. This is consistently seen for both SMC lists investigated. In the Kissinger list, the explicit B<sub>y</sub> effect is more pronounced during negative dipole tilt. The total number of SMC events (irrespective if IMF B<sub>y</sub>) in the Kissinger list is also higher for positive than negative dipole tilt. This difference is likely related to the seasonal cut off criteria <xref ref-type="bibr" rid="B24">McWilliams et al. (2008)</xref> used only in the DeJong list, that aims to compensate for the elevated AL levels during the more sunlit conditions. This may explain why the IMF B<sub>y</sub> polarity difference in DeJong&#x2019;s list is approximately as strong during positive and negative dipole tilts. Nevertheless, the IMF B<sub>y</sub> polarity difference remain in both lists.</p>
</sec>
<sec id="s2-2">
<title>2.2 Substorm strength: Mid-latitude positive bay index</title>
<p>The strength of substorms can be routinely quantified from their ground-based magnetic signatures. In NH, substorms produce southward perturbations (negative bays) on the ground in high latitudes and northward perturbations (positive bays) in mid-latitudes. <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref> showed that substorms identified from high-latitude negative bays have a more pronounced magnetic response (producing stronger <italic>AL</italic>/<italic>SML</italic> index in the NH) when the signs of the dipole tilt and IMF B<sub>y</sub> are opposite. However, similar to <xref ref-type="bibr" rid="B12">Holappa and Mursula (2018)</xref>, they found that this explicit <italic>B</italic>
<sub>
<italic>y</italic>
</sub>-dependence is very weak in the summer hemisphere, indicating that local ionospheric conditions strongly modulate the ground disturbances of substorms at high latitudes. Hence, addressing the strength of a substorm in a global sense (i.e., in terms of magnetic flux closure in the tail) is a very challenging task. As pointed out by <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref>, the local ionospheric conditions are much influenced by the degree of sunlight, and the geometry of the ionospheric current systems depend strongly on IMF B<sub>y</sub>, in opposite sense in the two hemispheres. Hence, <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref> suggested that a metric not associated with such local high latitude phenomenon should be used in assessing the global strength of substorms across various magnitude and polarities of dipole tilt and IMF B<sub>y</sub>. Ideally, such a substorm strength metric should be based on observations distributed equally between the two hemispheres. Although <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref> did not find a statistical significant difference in substorm strength for the different combinations of IMF B<sub>y</sub> and dipole tilt, we will show how choices made in the statistical analysis may alter their conclusions.</p>
<p>We here repeat the analysis of substorm strength for different dipole tilt and IMF B<sub>y</sub> polarities, as shown in Figure 7 in <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref>. Similar to <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref>, we focus on substorms identified with an algorithm applied to the Mid-latitude Positive Bay (MPB) index developed by <xref ref-type="bibr" rid="B4">Chu et al. (2015)</xref> to assess the substorm strength, for the above mentioned reasons. This list includes 57,558 substorms observed in 1982&#x2013;2012. The list contains the onset times as well as the peak values and area (time-integral of the squared perturbation) of the identified MPB pulses, quantifying the strength of the events. An advantage of the McPherron and Chu list over widely used substorm lists based on the <italic>SML</italic> index (<xref ref-type="bibr" rid="B31">Newell and Gjerloev, 2011</xref>) (using only NH measurements) is that it uses magnetometers observations from both hemispheres, and from mid-latitudes only (20&#xb0; &#x3c; &#x7c;magnetic latitude&#x7c; &#x3c; 52&#xb0;), potentially reducing the hemispheric bias. However, due to inherent geographical limitations, there are sill more stations in NH than SH. The MPB signature is interpreted as a direct signature of the Birkeland currents associated with the substorm (<xref ref-type="bibr" rid="B4">Chu et al., 2015</xref>). This is different from magnetic perturbations observed at high latitudes, that are blind to Birkeland and Pedersen currents, i.e., the curl-free component of the 3D ionospheric current system [Fukushima theorem, see e.g., <xref ref-type="bibr" rid="B9">Fukushima (1994)</xref>].</p>
<p>
<xref ref-type="fig" rid="F2">Figure 2</xref> shows the median MPB area for negative <inline-formula id="inf4">
<mml:math id="m5">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mo>&#x3c;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>10</mml:mn>
<mml:mo>&#xb0;</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> and positive <inline-formula id="inf5">
<mml:math id="m6">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mo>&#x3e;</mml:mo>
<mml:mn>10</mml:mn>
<mml:mo>&#xb0;</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> dipole tilts (&#x3a8;) as a function &#x3a6;<sub>
<italic>D</italic>
</sub>/&#x27e8;&#x3a6;<sub>
<italic>D</italic>
</sub>&#x27e9; averaged over 6&#xa0;h prior the substorm onset. The 6&#xa0;h window is chosen to allow the magnetosphere system to adjust to the upstream forcing. In this way, any potential <italic>B</italic>
<sub>
<italic>y</italic>
</sub>-dependence in the upstream forcing (from a type A mechanism) is expected to be exaggerated. The choice of averaging window is also discussed more in detail in the next subsection. The error bars indicate &#xb1; one-sigma errors of the median derived by bootstrap resampling (with replacement) applied 1,000 times. The MPB area is clearly greater for <italic>B</italic>
<sub>
<italic>y</italic>
</sub> &#x3e; 2&#xa0;nT during negative dipole tilt and for <italic>B</italic>
<sub>
<italic>y</italic>
</sub> &#x3c; &#x2212; 2&#xa0;nT during positive dipole tilt. Interestingly, the explicit <italic>B</italic>
<sub>
<italic>y</italic>
</sub>-dependence is about equally strong during negative tilt (NH winter) than during positive tilt (NH summer). We also find very similar results (not shown) for the peak MPB amplitude also given in the McPherron and Chu list. Thus, we interpret the results in <xref ref-type="fig" rid="F2">Figure 2</xref> as an effect of IMF B<sub>y</sub> modulating the global substorm strength during both local summer and winter conditions.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>The MPB pulse area as a function of the normalized &#x3a6;<sub>
<italic>D</italic>
</sub> parameter separately for B<sub>y</sub>
<inline-formula id="inf6">
<mml:math id="m7">
<mml:mo>&#x3e;</mml:mo>
<mml:mn>2</mml:mn>
</mml:math>
</inline-formula> nT and B<sub>y</sub>
<inline-formula id="inf7">
<mml:math id="m8">
<mml:mo>&#x3c;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
</mml:math>
</inline-formula> nT.The error bars indicate &#xb1; one standard deviation of the median. Left: Negative dipole tilt. Right: Positive dipole tilt.</p>
</caption>
<graphic xlink:href="fspas-09-973276-g002.tif"/>
</fig>
<p>The explicit <italic>B</italic>
<sub>
<italic>y</italic>
</sub>-dependence in <xref ref-type="fig" rid="F2">Figure 2</xref> is clearer than in the similar analysis of <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref>, which is due to three differences between the analyses. First, the present analysis sorts data by &#x3a6;<sub>
<italic>D</italic>
</sub> instead of the clock angle. Second, instead of the mean we are using the median of the MPB strength, making the analysis less prone to extremes of the distribution. Third, using a long (6-h) averaging window will more efficiently average out noise in the relation between coupling function &#x3a6;<sub>
<italic>D</italic>
</sub> and the response.</p>
</sec>
<sec id="s2-3">
<title>2.3 Substorm strength: Onset latitude</title>
<p>The substorm onset latitude is a direct measure of the size of the open magnetosphere at time of onset, which has a dependence on the degree of dayside loading during the time before the substorm [e.g., <xref ref-type="bibr" rid="B26">Milan et al. (2008)</xref>]. <xref ref-type="fig" rid="F3">Figure 3</xref> shows the median substorm onset latitude, as determined from the lists of substorm onsets from global Far Ultraviolet imaging presented by <xref ref-type="bibr" rid="B7">Frey et al. (2004)</xref> and <xref ref-type="bibr" rid="B20">Liou (2010)</xref>. This combined list contain substorms from both hemispheres (71% from NH) from which the onset latitude most often can be placed with confidence within &#xb1; 1&#xb0;. Common for both the <xref ref-type="bibr" rid="B7">Frey et al. (2004)</xref> and <xref ref-type="bibr" rid="B20">Liou (2010)</xref> substorm lists is that the substorm onset is identified as a sudden localized auroral brightening in the nightside oval, experiencing a poleward and zonal expansion. The binning into positive (orange) and negative (blue) IMF B<sub>y</sub> substorms are done similarly as described above. The bins of the normalized dayside coupling parameter &#x3a6;<sub>
<italic>D</italic>
</sub>/&#x27e8;&#x3a6;<sub>
<italic>D</italic>
</sub>&#x27e9; is determined such that each of the four bins contain the same number of substorms. These bins are indicated with the vertical dashed lines. The median value of the onset latitude (y-axis) and the normalized loading parameter (x-axis) with its associated &#xb1; one-sigma bootstrap error are indicated with crosses. The size of the averaging window used to compute IMF B<sub>y</sub> and &#x3a6;<sub>
<italic>D</italic>
</sub>/&#x27e8;&#x3a6;<sub>
<italic>D</italic>
</sub>&#x27e9; prior to binning is varied. From left, the columns in <xref ref-type="fig" rid="F3">Figure 3</xref> represent window sizes of 1&#xa0;min (no averaging), 1&#xa0;hr, 2&#xa0;hr, 4&#xa0;hr, and 6&#xa0;hr. To further constrain the IMF B<sub>y</sub> polarity within the averaging window used, we require the circular variance of the IMF clock angle (the angle of the IMF vector projected in the GSM YZ plane) to be <inline-formula id="inf8">
<mml:math id="m9">
<mml:mo>&#x3c;</mml:mo>
<mml:mn>0.1</mml:mn>
</mml:math>
</inline-formula> based on minute resolution data. In this way, the positive and negative IMF B<sub>y</sub> intervals (defined by the mean IMF B<sub>y</sub> <inline-formula id="inf9">
<mml:math id="m10">
<mml:mo>&#x3e;</mml:mo>
<mml:mn>2</mml:mn>
</mml:math>
</inline-formula> nT or <inline-formula id="inf10">
<mml:math id="m11">
<mml:mo>&#x3c;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
</mml:math>
</inline-formula> nT during the averaging window) are clearly separated. Due to the constraint on the circular variance of the IMF clock angle, fewer substorms meet the criteria for larger window sizes.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Median onset latitude from IMAGE &#x2b; Polar onset lists. Top row: Negative dipole tilt. Bottom row: Positive dipole tilt. The two lines indicate different IMF B<sub>y</sub> regimes. Columns represent size of averaging window applied to IMF B<sub>y</sub> and &#x3a6;<sub>
<italic>D</italic>
</sub> parameter. &#x3a6;<sub>
<italic>D</italic>
</sub> bins are indicated with vertical dashed lines. Total number of substorms in each IMF B<sub>y</sub> group satisfying the IMF stability criteria is also printed in each panel.</p>
</caption>
<graphic xlink:href="fspas-09-973276-g003.tif"/>
</fig>
<p>We clearly observe the median onset latitude to have greater dependence on &#x3a6;<sub>
<italic>D</italic>
</sub> for larger window sizes, as expected. On the other hand, we observe no clear explicit B<sub>y</sub> dependence on the onset latitude. For window sizes of two or more hrs, <xref ref-type="fig" rid="F3">Figure 3</xref> may indicate a trend toward lower latitude onsets when IMF B<sub>y</sub> and &#x3a8; has opposite signs during the two highest &#x3a6;<sub>
<italic>D</italic>
</sub> intervals, but the difference is not significant. Hence, from the presented evidence, we must conclude that the net effect on onset latitude by the sign of IMF B<sub>y</sub> must be small, if any, during times of significant dipole tilt. On the other hand, this means that we also can conclude that there is no evidence suggesting that the more frequent substorms for one IMF B<sub>y</sub> polarity are associated with higher latitude onsets, which could be an indication of weaker substorms. These results, together with the MPB analysis of substorm strength, are further discussed in <xref ref-type="sec" rid="s3">section 3</xref>.</p>
</sec>
<sec id="s2-4">
<title>2.4 Interplanetary magnetic field B<sub>y</sub> dependence of isotropic boundary</title>
<p>The proton isotropic boundary marks the equatorward boundary of proton precipitation. The isotropic boundary (IB) is assumed to be located on a field line on which the radius of curvature is comparable to the proton gyroradius (<xref ref-type="bibr" rid="B41">Sergeev et al., 1993</xref>). Poleward of the IB latitude the proton loss cone is efficiently filled by pitch-angle scattering, whereas protons are mainly trapped equatorward of the IB latitude (<xref ref-type="bibr" rid="B32">Newell et al., 1998</xref>). The IB latitude can be routinely monitored using the Polar Operational Environmental Satellites (POES) measurements of energetic protons made with the The Medium Energy Proton and Electron Detector (MEPED) instruments. <xref ref-type="bibr" rid="B1">Asikainen et al. (2010)</xref> used corrected and calibrated MEPED proton measurements of 80&#x2013;250&#xa0;keV energy to determine the isotropic boundary latitude. Instead of 80&#x2013;250&#xa0;keV energy we use here proton fluxes between 120 and 250&#xa0;keV, which have been obtained by interpolating the MEPED measurements at the nominal energy channels. <xref ref-type="bibr" rid="B2">Asikainen and Mursula (2011)</xref> showed that as the MEPED proton instruments degrade in time the effective energies they measure increase. They also showed that the lowest proton energy channel could not be reliably corrected if the degradation has been large enough. <xref ref-type="bibr" rid="B3">Asikainen et al. (2012)</xref> showed that the lowest energy one can use to get a homogeneous series of proton fluxes from 1979 to present is 120&#xa0;keV. Therefore, we here use the proton measurements between 120 and 250&#xa0;keV to determine the isotropic boundary. The IB latitude on each orbit is found by the most equatorward corrected geomagnetic latitude where the fluxes of the two orthogonal MEPED telescopes (<italic>I</italic>
<sub>0</sub> and <italic>I</italic>
<sub>90</sub>) fulfill the condition<disp-formula id="e2">
<mml:math id="m12">
<mml:mfrac>
<mml:mrow>
<mml:mo stretchy="false">&#x7c;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>I</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>I</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>90</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="false">&#x7c;</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi>I</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>I</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>90</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3c;</mml:mo>
<mml:mn>0.3</mml:mn>
</mml:math>
<label>(2)</label>
</disp-formula>
</p>
<p>In addition to this the determined L-value of the IB location must be <inline-formula id="inf11">
<mml:math id="m13">
<mml:mo>&#x3e;</mml:mo>
<mml:mn>2.5</mml:mn>
</mml:math>
</inline-formula> and the count rates of the telescopes must exceed 500 cts/(cm<sup>2</sup> sr s). As shown by <xref ref-type="bibr" rid="B1">Asikainen et al. (2010)</xref> the IB latitudes display a systematic MLT dependence. We followed their approach to estimate and subtract the MLT dependence from the IB latitudes. This procedure yields the so called MT index (magnetotail index) separately for both hemispheres. Because the MT indices (IB latitude identifications) are irregularly sampled in time we calculated the hourly averages from all those MT index values, which are located within the hour. In the following, our mentions of IB latitude is in fact referring to this MLT-normalized version, the MT index. We also restrict our analysis to the 18&#x2013;06 MLT nightside region.</p>
<p>As shown by <xref ref-type="bibr" rid="B25">Meurant et al. (2007)</xref>, the IB latitude at substorm onset is very similar to the onset latitude. As pointed out by <xref ref-type="bibr" rid="B33">Newell et al. (2007)</xref>, the IB latitude has its best correlation with solar wind driving when averaging over the previous 6&#xa0;h. Hence, the IB latitude represents a diagnostic tool of the state of the inner magnetosphere, which depends on the magnitude of dayside loading from at least the previous 6&#xa0;h. The main advantage of considering the IB latitude for our purposes, in contrast to the onset latitude, is that we do not have to restrict ourselves to the onset of a substorm to get a datapoint indicating the extent of the stretched magnetosphere. The full POES database of high latitude crossings can thus be utilized for this purpose, similar as what was done by <xref ref-type="bibr" rid="B13">Holappa et al. (2021a)</xref>.</p>
<p>
<xref ref-type="fig" rid="F4">Figure 4</xref> shows the median IB latitude for positive (red) and negative (blue) IMF B<sub>y</sub> conditions. Similar to the previous figures, the observations are also binned according to the normalized dayside coupling value (x-axis) over 6&#xa0;h preceding the measurement. The analysis is shown from both hemispheres (northern hemisphere in top row, south in bottom row) during positive and negative dipole tilt intervals. Note that the same tilt interval represents opposite local season in the two hemispheres. It is evident from <xref ref-type="fig" rid="F4">Figure 4</xref> that the explicit B<sub>y</sub> effect on IB latitude is a pronounced and significant feature. The latitudinal difference between the two IMF B<sub>y</sub> polarities are on the order of 1&#xb0; latitude, similar to what was reported by <xref ref-type="bibr" rid="B37">Reistad et al. (2020)</xref> using the field-aligned current estimates of the size of the auroral oval from AMPERE.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Median IB latitude determined from NOAA15-19 satellites in the nightside (18&#x2013;6 MLT) as a function of the normalized &#x3a6;<sub>
<italic>D</italic>
</sub> parameter separately for B<sub>y</sub>
<inline-formula id="inf12">
<mml:math id="m14">
<mml:mo>&#x3e;</mml:mo>
<mml:mn>5</mml:mn>
</mml:math>
</inline-formula> nT and B<sub>y</sub>
<inline-formula id="inf13">
<mml:math id="m15">
<mml:mo>&#x3c;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>5</mml:mn>
</mml:math>
</inline-formula> nT. The error bars indicate &#xb1; one standard deviation of the median.</p>
</caption>
<graphic xlink:href="fspas-09-973276-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s3">
<title>3 Discussion</title>
<p>In recent years, a growing body of evidence (see introduction) has demonstrated how various aspects of the solar wind&#x2014;magnetosphere&#x2014;ionosphere interactions depend on the combination of the polarities of IMF B<sub>y</sub> and dipole tilt, often referred to as an <italic>explicit B</italic>
<sub>
<italic>y</italic>
</sub> <italic>effect</italic>. That is, for a given, nonzero tilt angle &#x3a8;, the system responds differently to positive and negative IMF B<sub>y</sub>. In this paper we provide further observational evidence of this effect, aiming to provide observational constraints on the source of the explicit B<sub>y</sub> behaviour of the system. Two types of mechanisms have been suggested to explain the explicit B<sub>y</sub> effect:<list list-type="simple">
<list-item>
<p>A) The combination of the polarity of IMF B<sub>y</sub> and dipole tilt affects the global dayside reconnection rate, with higher flux throughput when the two has opposite polarity compared to equal polarity.</p>
</list-item>
<list-item>
<p>B) The combination of the polarity of IMF B<sub>y</sub> and dipole tilt influence the amount of magnetic flux the magnetotail lobes typically support, for a given dayside reconnection rate. The magnetosphere thus responds differently to similar magnetic flux throughput.</p>
</list-item>
</list>
</p>
<p>Observations consistent with a type B mechanism have been reported on earlier (<xref ref-type="bibr" rid="B13">Holappa et al., 2021a</xref>). However, can this type of process, confined to the magnetotail, be the sole explanation for the presented observations? This is the core question we address in this article. Evidence on the existence of a type A mechanism has not been presented to date (to our knowledge). There is an ongoing debate whether the dipole tilt angle modulates the dayside reconnection rate (<xref ref-type="bibr" rid="B5">Cliver et al., 2000</xref>; <xref ref-type="bibr" rid="B40">Russell et al., 2003</xref>; <xref ref-type="bibr" rid="B21">Lockwood et al., 2020</xref>). However, these studies have not addressed the combined action of the dipole tilt and IMF By (which are both included in the type A mechanism). Previous studies focusing on the <italic>explicit B</italic>
<sub>
<italic>y</italic>
</sub> <italic>effect</italic> have not been able to make definite conclusions about the relative importance of A versus B type of mechanisms. However, a critical test for the above hypotheses is to determine whether or not the magnetic flux throughput of the system (the strength of the Dungey cycle) is stronger for the opposite signs of &#x3a8; and IMF B<sub>y</sub>. This is predicted by mechanism A, but not by mechanism B. By combining the results presented in this study with earlier observations, we can now address how the flux throughput is modulated by IMF B<sub>y</sub> and &#x3a8;.</p>
<p>
<xref ref-type="bibr" rid="B26">Milan et al. (2008)</xref> investigated how the magnetosphere responds to weak and strong solar wind forcing, and showed that enhanced magnetic flux input (&#x3a6;<sub>
<italic>D</italic>
</sub>) lead to both stronger and more frequent substorms. It has also been shown that the substorm occurrence frequency is higher when IMF B<sub>y</sub> and &#x3a8; have opposite compared to equal polarity (<xref ref-type="bibr" rid="B34">Ohma et al., 2021</xref>). The global substorm strength shown in <xref ref-type="fig" rid="F2">Figure 2</xref> demonstrates that the strength of substorms is also greater, therefore closing more magnetic flux per substorm (<xref ref-type="bibr" rid="B29">Milan et al., 2009</xref>), on average, when signs of IMF B<sub>y</sub> and tilt angle are opposite compared to equal. Taken together, these results strongly suggests that the IMF B<sub>y</sub>/&#x3a8; polarity combination affect the magnetic flux throughput, hence supporting a type A mechanism.</p>
<p>The IB latitude analysis presented in <xref ref-type="fig" rid="F4">Figure 4</xref>, which can be interpreted as the transition region from dipolar to stretched field lines, is systematically displaced based on IMF B<sub>y</sub> and dipole tilt polarity, highlighting the profound influence by these parameters. This region of the magnetotail is known to depend upon the previous magnetospheric activity (and hence solar wind - magnetosphere coupling) with a significant memory. <xref ref-type="bibr" rid="B33">Newell et al. (2007)</xref> found the IB latitude to show the best correlation with a 6&#xa0;h long averaging window of the upstream forcing. It is therefore highly expected that a type A mechanism would lead to the observed differences in <xref ref-type="fig" rid="F4">Figure 4</xref>. The observed shift in IB latitude is remarkably similar to the corresponding shift in polar cap radius during similar conditions, as reported by <xref ref-type="bibr" rid="B37">Reistad et al. (2020)</xref>. However, as <xref ref-type="bibr" rid="B37">Reistad et al. (2020)</xref> pointed out, we can not exclude a type B mechanism influencing these results, when interpreting this analysis alone. However, when interpreting these results in light of our findings regarding the substorm strength as discussed above, the we find that a type A mechanism is the most plausible scenario to explain also the IMF B<sub>y</sub> polarity effect on IB latitude.</p>
<p>Interpreting the onset latitude as a metric of the strength of the substorm in terms of flux closure (<xref ref-type="bibr" rid="B29">Milan et al., 2009</xref>), the similar onset latitude for &#xb1; B<sub>y</sub> (<xref ref-type="fig" rid="F3">Figure 3</xref>) combined with their more frequent occurrence (<xref ref-type="bibr" rid="B34">Ohma et al., 2021</xref>) suggests a larger flux throughput when IMF B<sub>y</sub> and &#x3a8; has opposite polarity, in agreement with a type A mechanism. We find no direct evidence that the substorm onset shifts to higher latitudes for opposite IMF B<sub>y</sub> and tilt polarity compared to same polarity, as would be indicative of a type B mechanism (the more frequent substorms closing less flux each, hence taking place at a higher latitude [e.g., <xref ref-type="bibr" rid="B29">Milan et al. (2009)</xref>] to accommodate the same flux throughput). This analysis is therefore consistent with the conclusions above, namely that a type A mechanism is likely to exist during these conditions. One may argue that if the global dayside reconnection rate is affected (type A mechanism) as suggested, a lower onset latitude would be expected for opposite B<sub>y</sub> and &#x3a8; polarity, contrary to what we see (the weak trend in the suggested direction is below the level of statistical significance). One possibility is that both a type A and B mechanism may be present, since their influence on onset latitude is expected to be opposite. If so, the presence of a type B mechanism indicates inherent limitations of addressing the strength of a substorm only through its onset latitude. Nevertheless, our main conclusion remains, namely, that a type B mechanism alone can not explain the results, and that the global dayside reconnection rate has an explicit B<sub>y</sub> dependence during periods of significant dipole tilt.</p>
<p>As mentioned in the introduction, more frequent SMC intervals during the IMF B<sub>y</sub>/tilt polarity associated with more frequent substorms would be indicative of a type A mechanism. This is indeed what we see in <xref ref-type="fig" rid="F1">Figure 1</xref>. It is nevertheless relevant to mention the study by <xref ref-type="bibr" rid="B30">Milan et al. (2019)</xref> in this regard, showing that the substorm onset latitude is an important parameter in determining whether the magnetotail develop into a period of SMC if the IMF remains southward after a substorm. They found that substorms taking place in an extended oval (below 65&#xb0; MLAT) was less likely to develop into an SMC interval, and suggested this was due to the atmosphere invoking friction on the ionosphere-magnetosphere system, since lower latitude substorms are typically stronger. From <xref ref-type="fig" rid="F2">Figure 2</xref> we have seen that the more frequent substorms observed for opposite B<sub>y</sub>/tilt polarity (<xref ref-type="bibr" rid="B34">Ohma et al., 2021</xref>) are associated with stronger substorms. The fact that we also observe more frequent SMC intervals when IMF B<sub>y</sub> and the dipole tilt have opposite signs suggests that the effect reported on by <xref ref-type="bibr" rid="B30">Milan et al. (2019)</xref> is less relevant for the more typical substorms considered here. In fact, the quartile binning used in <xref ref-type="fig" rid="F3">Figure 3</xref> shows that three of four bins (75% of the onsets) have a median onset latitude above 65&#xb0;, which was the limit for &#x201c;convection breaking&#x201d; used by <xref ref-type="bibr" rid="B30">Milan et al. (2019)</xref>.</p>
<p>For opposite compared to equal polarity of IMF B<sub>y</sub> and tilt angle, observations show stronger substorms, more frequent substorms and more frequent SMCs. Furthermore, the average IB latitude and polar cap radius indicate a larger oval, which means that the average flux content is also greater for opposite IMF B<sub>y</sub> and &#x3a8;. In addition, <xref ref-type="bibr" rid="B38">Reistad et al. (2021)</xref> found 10% stronger flux throughput during the same conditions. Taken together, we conclude that the body of evidence presented is pointing towards mechanism A being the main source of the observed explicit B<sub>y</sub> behaviour of the system. However, we can not exclude that a type B mechanism take place at the same time, but taken alone, a type B mechanism is insufficient to explain the observed behavior.</p>
<p>The results from this paper suggests that an explicit B<sub>y</sub> effect should be included in future global dayside reconnection rate coupling functions, which is expected to enhance the predictive abilities of geospace activity. When taking this contribution into account, it would likely be easier to make further constraints on the importance of mechanism B type of processes.</p>
<p>Although we suggest that an explicit B<sub>y</sub> effect is present on the global dayside reconnection rate, we have at present no good understanding of why. As suggested earlier by <xref ref-type="bibr" rid="B37">Reistad et al. (2020)</xref> and <xref ref-type="bibr" rid="B34">Ohma et al. (2021)</xref>, the many dawn-dusk asymmetries upstream of the magnetopause (<xref ref-type="bibr" rid="B43">Walsh et al., 2014</xref>) may introduce dawn-dusk asymmetries in the local dayside reconnection rate. How this combine with a tilted dipole will be a very interesting topic to explore with 3D global kinetic models such as the Vlasiator model (<xref ref-type="bibr" rid="B36">Palmroth et al., 2018</xref>).</p>
</sec>
<sec id="s4">
<title>4 Conclusion</title>
<p>Based on the new analysis presented in <xref ref-type="sec" rid="s2">section 2</xref>, together with recent advances in describing the geospace response during these conditions (<xref ref-type="bibr" rid="B12">Holappa and Mursula, 2018</xref>; <xref ref-type="bibr" rid="B10">Holappa et al., 2020</xref>; <xref ref-type="bibr" rid="B37">Reistad et al., 2020</xref>; <xref ref-type="bibr" rid="B14">Holappa et al., 2021b</xref>; <xref ref-type="bibr" rid="B34">Ohma et al., 2021</xref>), we conclude that the global dayside reconnection rate is likely to be enhanced when IMF B<sub>y</sub> and the dipole tilt have opposite signs (&#xb1; and &#x2212;/&#x2b;), compared to when they have the same signs (&#x2212;/&#x2212; and &#x2b;/&#x2b;). This is referred to as a type A mechanism. We have also discussed the possible contribution from a type B mechanism, where the magnetotail response may depend on IMF B<sub>y</sub> and the dipole tilt, affecting the amount of magnetic flux the magnetotail lobes typically can support. While we can not neglect that a type B mechanism has a significant contribution to the observed response, we find it insufficient to explain our analysis alone, pointing toward the existence of a type A mechanism taking place at the dayside of the magnetosphere. The detailed physical mechanism of such an effect should be further investigated.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>We acknowledge the use of NASA/GSFC Space Physics Data Facility <ext-link ext-link-type="uri" xlink:href="http://omniweb.gsfc.nasa.gov">http://omniweb.gsfc.nasa.gov</ext-link> for OMNI data. The Kissinger SMC list is available at <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.6147689">https://doi.org/10.5281/zenodo.6147689</ext-link>. The DeJong SMC list is published along with its description in <xref ref-type="bibr" rid="B6">Dejong (2014)</xref>. The FUV substorm lists can be downloaded from <ext-link ext-link-type="uri" xlink:href="https://supermag.jhuapl.edu/substorms/">https://supermag.jhuapl.edu/substorms/</ext-link>. The MPB substorm list is available from their publication <xref ref-type="bibr" rid="B22">McPherron and chu (2018)</xref>. The dipole tilt angle is computed based on the International Geomagnetic Reference Field dipole coefficients using the klaundal/dipole library, available on GitHub. All the original POES/MEPED energetic particle data used here are archived in the NOAA/NGDC dataserver <ext-link ext-link-type="uri" xlink:href="http://www.ngdc.noaa.gov/stp/satellite/poes/index.html">http://www.ngdc.noaa.gov/stp/satellite/poes/index.html</ext-link>.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>This paper is a result of a team effort emerging from a breakout group initiated during the initial workshop of the Center for Unified Studies of Interhemispheric Asymmetries (CUSIA). JR did the substorm onset latitude data analysis, organized regular online meetings, and was the lead writer of the manuscript. LH did the MPB and IB latitude data analysis, AO did the SMC data analysis, and both played an active role in shaping the manuscrupt and discussion throughout the entire processs. CG and DS also actively participated in the discussions shaping the paper throughout the entire process, in addition to participating in the writing process. TA has been involved in consulting the IB latitude analysis, as well as writing relevant parts of that section, and providing comments on the manuscript. AD was consulted in the SMC analysis, assisted writing the respective section, and commented on the manuscript.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>JR were funded by the Norwegian Research Council (NRC) through grant 300844/F50. LH was funded by the Academy of Finland postdoctoral project 322459. AO were funded by the Norwegian Research Council (NRC) through grant 223252/F50. DS was supported by NASA LWS 80NSSC17K0718. TA was supported by the Academy of Finland (PROSPECT project 24303278). This work was also supported by the Center for the Unified Study of Interhemispheric Asymmetries (CUSIA), NASA Award 80NSSC20K0606.</p>
</sec>
<ack>
<p>We thank the Centre for Unified Studies on Interhemispheric Asymmetries for hosting interesting discussions and meeting venues where the collaboration for this work was initiated. We also thank all data vendors across the community contributing to the higher level data products we use, see data availability statement.</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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