<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0">
  <front>
    <journal-meta><journal-id journal-id-type="publisher">ESD</journal-id><journal-title-group>
    <journal-title>Earth System Dynamics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ESD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Dynam.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2190-4987</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/esd-9-91-2018</article-id><title-group><article-title>The concurrence of atmospheric rivers<?xmltex \hack{\break}?> and explosive cyclogenesis in the North<?xmltex \hack{\break}?> Atlantic and North Pacific basins</article-title><alt-title>The concurrence of atmospheric rivers and explosive cyclogenesis</alt-title>
      </title-group><?xmltex \runningtitle{The concurrence of atmospheric rivers and explosive cyclogenesis}?><?xmltex \runningauthor{J.~Eiras-Barca et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Eiras-Barca</surname><given-names>Jorge</given-names></name>
          <email>jorge.eiras@usc.es</email>
        <ext-link>https://orcid.org/0000-0003-4401-5944</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff2">
          <name><surname>Ramos</surname><given-names>Alexandre M.</given-names></name>
          <email>amramos@fc.ul.pt</email>
        <ext-link>https://orcid.org/0000-0003-3129-7233</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Pinto</surname><given-names>Joaquim G.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8865-1769</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Trigo</surname><given-names>Ricardo M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff4">
          <name><surname>Liberato</surname><given-names>Margarida L. R.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6677-9366</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Miguez-Macho</surname><given-names>Gonzalo</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4259-7883</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Non-Linear Physics Group, Universidade de Santiago de Compostela, Galicia, Spain</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute for Meteorology and Climate Research (IMK-TRO),<?xmltex \hack{\break}?> Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Escola de Ciências e Tecnologia, Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Alexandre M. Ramos (amramos@fc.ul.pt) and Jorge Eiras-Barca (jorge.eiras@usc.es)</corresp></author-notes><pub-date><day>22</day><month>January</month><year>2018</year></pub-date>
      
      <volume>9</volume>
      <issue>1</issue>
      <fpage>91</fpage><lpage>102</lpage>
      <history>
        <date date-type="received"><day>18</day><month>August</month><year>2017</year></date>
           <date date-type="accepted"><day>4</day><month>December</month><year>2017</year></date>
           <date date-type="rev-recd"><day>27</day><month>November</month><year>2017</year></date>
           <date date-type="rev-request"><day>22</day><month>August</month><year>2017</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://esd.copernicus.org/articles/9/91/2018/esd-9-91-2018.html">This article is available from https://esd.copernicus.org/articles/9/91/2018/esd-9-91-2018.html</self-uri><self-uri xlink:href="https://esd.copernicus.org/articles/9/91/2018/esd-9-91-2018.pdf">The full text article is available as a PDF file from https://esd.copernicus.org/articles/9/91/2018/esd-9-91-2018.pdf</self-uri>
      <abstract>
    <p id="d1e154">The explosive cyclogenesis of extratropical cyclones and the occurrence of
atmospheric rivers are characteristic features of a baroclinic atmosphere,
and are both closely related to extreme hydrometeorological events in the
mid-latitudes, particularly on coastal areas on the western side of the
continents. The potential role of atmospheric rivers in the explosive cyclone
deepening has been previously analysed for selected case studies, but
a general assessment from the climatological perspective is still missing.
Using ERA-Interim reanalysis data for 1979–2011, we analyse the concurrence
of atmospheric rivers and explosive cyclogenesis over the North Atlantic and
North Pacific basins for the extended winter months (ONDJFM). Atmospheric
rivers are identified for almost 80 % of explosive deepening cyclones.
For non-explosive cyclones, atmospheric rivers are found only in roughly
40 % of the cases. The analysis of the time evolution of the high
values of water vapour flux associated with the atmospheric river during the
cyclone development phase leads us to hypothesize that the identified
relationship is the fingerprint of a mechanism that raises the odds of an
explosive cyclogenesis occurrence and not merely a statistical relationship.
These new insights on the relationship between explosive cyclones and
atmospheric rivers may be helpful to a better understanding of the associated
high-impact weather events.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e164">Intense extratropical cyclones are one of the major natural threats in mid-latitudes and are often responsible for large socioeconomic
impacts (Munich Re, 2015). Their impacts include strong winds, heavy precipitation, and in some cases storm surges (e.g. Lamb, 1991) In
particular, cases associated with explosive cyclogenesis (Sanders and Gyakum, 1980; pressure decrease larger than 24 <inline-formula><mml:math id="M1" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> in
24 h at 60<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, or equivalent) are associated with particularly large impacts and often with low predictability (e.g. Wernli
et al., 2002; Fink et al., 2009). Such systems are often
referred to in the literature as “bombs”. According to Shapiro et al. (1998), explosive cyclogenesis result from different mechanisms that
include upper-level cyclonic vorticity advection, low-level warm air advection, and latent heat release. This may be supported by
upper-tropospheric Rossby wave breaking, which constrains and intensifies the upper-level jet stream and thus contributes to intense
cyclone developments (e.g. Hanley and Caballero, 2012; Gómara et al., 2014).  According to Aubert (1957),
the latent heating influence is significant not only in the pressure distribution but
also in the vertical motion field. In particular, Aubert (1957) states that this mechanism lowers the heights of isobaric surfaces in
the lower troposphere,<?pagebreak page92?> and raises them in the upper. In agreement, Tsou et al. (1987) found that even for cases with strong vorticity
advection and the differential thermal advection, latent heat release is still primary cause of the pressure falling below
900 <inline-formula><mml:math id="M3" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> during the period of most abundant precipitation. The release of latent heat contributes to increase the storm's
available potential energy, deepening the cyclone while decreasing the horizontal scale of the region of ascent particularly in
maritime cyclones (e.g. Emanuel, 1987; Snyder and Lindzen, 1991; Davis, 1992).</p>
      <p id="d1e190">Several studies have confirmed the occurrence of a maximum of latent and sensible heat availability in the lower troposphere near the
warm sector of the cyclone and documented the contribution of moist diabatic processes such as latent heat release by cloud
condensation processes to the intensification of extratropical cyclones (Pinto et al., 2009; Liberato et al., 2012; Ludwig et al.,
2014). However, the relative contribution of diabatic processes to the cyclone deepening may differ considerably from case to case. For
example, Fink et al. (2012) showed for selected explosive cyclogenesis cases that while diabatic processes played a key role for storms
such as Xynthia and Klaus, other storms are largely baroclinic driven (e.g. Kyrill and Martin). These results have recently been extended
by Pirret et al. (2017), who provided evidence that baroclinic processes generally dominate the majority of storms. On the other
hand, the contributions from diabatic processes varies strongly from cases to case, and are only dominant for 10 out of 58 cases. The
role of the diabatic contribution is strongly related to the period of time that a storm remains equatorward side of the jet, where
warm, moist air is present.</p>
      <p id="d1e193">The higher moisture availability in the North Pacific and North Atlantic basins are controlled by so-called atmospheric rivers (ARs;
e.g. Newell and Zhu, 1994; Zhu and Newell, 1998; Bao et al., 2006; Ralph and Dettinger, 2011; Gimeno et al., 2016). ARs are relatively narrow (on average 500 <inline-formula><mml:math id="M4" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula>) corridors of enhanced water
vapour (WV) transport in the lower troposphere that can extend for thousands of kilometres. According to the American Meteorological Society glossary ARs are
“a long, narrow, and transient corridor of strong horizontal water vapour transport that is typically associated with a low-level jet
stream ahead of the cold front of an extratropical cyclone”. The definition also states that the water vapour in ARs is supplied by
sourced of tropical and/or extratropical origin (e.g. Ramos et al.2016a; Eiras et al., 2017) and that ARs can lead to heavy
precipitation whenever these systems are forced upward – either by mountains or by ascent in the warm conveyor belt.  Horizontal water
vapour transport in the midlatitudes occurs primarily in atmospheric rivers and is focused in the lower troposphere. The importance
of ARs in extreme precipitation events and floods has been analysed in detail for the west coast of the USA (particularly for
California) over the last decade (e.g. Ralph et al., 2004; Neiman et al., 2008; Dettinger et al., 2011). Similar conclusions have been
reached for Europe (e.g. Malguzzi et al., 2006; Lavers et al., 2012; Liberato et al., 2012; Ramos et al., 2015; Eiras-Barca et al.,
2016; Brands et al., 2017) and other regions of the world (e.g. Viale and Nuñez, 2011; Mahoney et al., 2016; Blamey et al., 2018).</p>
      <p id="d1e203">Given the role of latent heat release in the development of explosive cyclogenesis, this suggests that explosive cyclogenesis in the
mid-latitudes may be influenced by the presence of an AR. Additionally, the release of sensible heat in the vicinity of the cyclone
will enhance the convective instability of the AR. Previous studies showed for selected case studies that explosive development can
indeed be driven by the presence of an AR (Zhu and Newell, 1994; Ferreira et al., 2016). For example, Ferreira et al. (2016) have
provided evidence on the role of ARs over the western and central (sub)tropical Atlantic towards cyclone development, which converged
into the cyclogenesis region and then moved along with the storm towards Europe. However, to the best of our knowledge, no ample
assessments analysing the role of ARs in the explosive deepening have been performed from the climatological perspective. The main
objective of this study is to provide a comprehensive evaluation on the role of the ARs in the explosive deepening of North Atlantic
and North Pacific extratropical cyclones between 1979 and 2011 for the extended winter months (ONDJFM), focusing on the spatial
concurrence and the timing of both features.</p>
      <p id="d1e207">The manuscript is organized as follows: Sect. 2 describes the data and methods, while the results are presented in Sect. 3; finally,
the conclusions are given and discussed in Sect. 4.</p>
</sec>
<sec id="Ch1.S2">
  <title>Data and methods</title>
      <p id="d1e216">We use ECMWF ERA-Interim Reanalysis (Dee et al., 2011) between 1979 and 2011 for our study. For the cyclone detecting and tracking
methodology (see Sect. 2.1), 6-hourly instantaneous 1000 <inline-formula><mml:math id="M5" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> geopotential height fields at a resolution of <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.75</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:mn mathvariant="normal">0.75</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> are considered. For the detecting and tracking of the ARs' structures (see Sect. 2.2), we used moisture and wind
values at multiple vertical pressure levels to compute the integrated water vapour column (IWV) and the vertically integrated
horizontal water vapour transport (IVT) at the same resolution.</p>
<sec id="Ch1.S2.SS1">
  <title>Cyclone detecting and tracking methodology</title>
      <?pagebreak page93?><p id="d1e251">We have applied an automatic procedure to identify and track extratropical cyclones (Trigo, 2006). This particular cyclone detecting
and tracking algorithm was first developed for the Mediterranean region (Trigo et al., 1999, 2002), later extended to a larger
Euro-Atlantic region (Trigo, 2006) and finally generalized for both hemispheres (e.g. Neu et al., 2013). The scheme is applied to the
ERA-Interim geopotential height at 1000 <inline-formula><mml:math id="M7" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> (Z1000) fields. Cyclones are identified and tracked at a 6-hourly basis at the
spatial resolution available of <inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.75</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:mn mathvariant="normal">0.75</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> for the entire Northern Hemisphere. Results from this method
compare well with other similar methods (Neu et al., 2013). Storms with minimum central pressure higher than 1010 <inline-formula><mml:math id="M9" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> over
their entire life cycle and lasting less than 24 h are discarded from the subsequent analysis. For each cyclone, the maximum deepening
rate <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>P</mml:mi></mml:mrow></mml:math></inline-formula> per cyclone track is determined by the maximum pressure drop at the centre of the cyclone on the basis of all the 6 h
successive time steps (<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn><mml:mo>)</mml:mo><mml:mo>-</mml:mo><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>) in its life cycle. The maximum deepening point (MDP) corresponds to the point <inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and was
computed for each cyclone in order to analyse the influence of the ARs on its maximum deepening rate. We choose the maximum deepening
point rather than the minimum pressure point of the cyclone because it is in this time frame of the cyclone development that an
influence from AR may be expected. By choosing the MDP, we guarantee that the potential trigger effect for its maximum deepening
occurred at the same time or just prior to it. From this database, the sub-set of explosive cyclogenesis (EC) is selected for further
analysis. Following Bergeron (1954) and the generalization by Sanders and Gyakum (1980), explosive cyclones are defined as cyclones
with deepening rates (NDR) exceeding 24 <inline-formula><mml:math id="M13" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> in 24 h for a reference latitude of 60<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, where NDR is defined as
<inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mtext>NDR</mml:mtext><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>p</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mi>sin⁡</mml:mi><mml:mn mathvariant="normal">60</mml:mn><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">24</mml:mn><mml:mo>|</mml:mo><mml:mi>sin⁡</mml:mi><mml:mi mathvariant="italic">φ</mml:mi><mml:mo>|</mml:mo><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>p</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the change in central pressure in
24 <inline-formula><mml:math id="M17" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M18" display="inline"><mml:mi mathvariant="italic">φ</mml:mi></mml:math></inline-formula> is the latitude of the cyclone core at MDP. All remaining cyclones are included in the sub-set non-explosive
cyclones (NEC).
In addition, for the AR analysis, all the cyclones below 25<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N were filtered in order to avoid tropical
storms and hurricanes in our analysis.</p>
      <p id="d1e439">Two wide domains over both ocean basins have been selected: for the Atlantic domains latitudes between 25<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and
65<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and longitudes between 80<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W and 10<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E are considered, while for the Pacific domain longitudes are
between 120<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and 105<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W. Regarding the extended winter months, for the North Atlantic Basin, a total of 8048
cyclones were detected, from which 733 were classified as EC (9.1 % of the cases).  Regarding the Pacific domain, a total of
12 005 cyclones were identified, in which 1115 were classified as EC (9.3 % of the cases).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p id="d1e499">Spatial distribution of the location where explosive cyclogenesis reach their minimum core pressure for <bold>(a)</bold> Atlantic
Ocean and <bold>(b)</bold> Pacific Ocean. Contours correspond to the average number of events per extended winter (ONDJFM) season,
detected per <inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:mn mathvariant="normal">5</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> area normalized for 50<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. The spatial distribution was smoothed with a 5<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
averaging radius.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://esd.copernicus.org/articles/9/91/2018/esd-9-91-2018-f01.png"/>

        </fig>

      <p id="d1e552">Figure 1 shows the spatial distribution of the positions where EC reached their minimum core pressure during lifetime. Depicted are the
number of events per extended winter (ONDJFM) season per <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:mn mathvariant="normal">5</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> grid box, normalized to the corresponding area
for 50<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (about <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mn mathvariant="normal">200</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>). The density maps of cyclone positions provide a good overview of the
distribution of explosive cyclones in both basins. While for the Atlantic storm track a clear SW–NE orientation is found, reaching
values of 0.8 events per extended winter near the American continent, over the Pacific Basin the storm track is more zonal and reached
values of 0.9 events per extended winter over the central-western basin.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e613">Example of a well-defined atmospheric river associated with an explosive cyclone development making landfall over the British Isles on
31 January 1988, 18:00 UTC. Mean sea level pressure field (hPa) is indicated as black isolines in all panels. <bold>(a)</bold> Total
integrated column of water vapour (IWV, colours, <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and integrated vapour transport (IVT, arrows,
<inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). <bold>(b)</bold> Shape region (red) and central axis of the atmospheric river (blue) for the GUAN2015
algorithm. <bold>(c)</bold> As <bold>(a)</bold> but showing only IWV values above 10 <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; the blue crosses highlight the central
axis of the atmospheric river detected by the EIRAS2016 algorithm.  In addition the location of the MDP is highlighted with a red dot.</p></caption>
          <?xmltex \igopts{width=500.768504pt}?><graphic xlink:href="https://esd.copernicus.org/articles/9/91/2018/esd-9-91-2018-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <title>Atmospheric river detection</title>
      <p id="d1e701">There are several methodologies to detect ARs, which can broadly be divided into two groups considering the nature of the main dataset
used, either satellite data or reanalysis data (Gimeno et al., 2014).
For methods using satellite data, the different approaches consider
the IWV, obtained mainly from the SSM/I sensor (e.g. Ralph et al., 2004; Guan et al., 2010; Ralph and Dettinger, 2011). For methods
based on reanalysis data, we focus on the IVT (e.g. Zhu and Newell, 1998; Lavers et al., 2013) or the method of Eiras-Barca et al. (2016), which uses a combination of IWV and IVT from ERA-Interim reanalysis.
An overview of the different methods to identify ARs can be found
in Gimeno et al. (2014). Given the different approaches to identify them, and in order to estimate the sensitivity of the results for
the choice of identification method, we employ two different methods to identify them.</p>
      <p id="d1e704">The first method is an adaptation of the Eiras-Barca et al. (2016) approach (hereafter EIRAS2016), which uses not only IWV but also the IVT
to identify ARs. For each cyclone, the location and timing of the MDP (see Sect. 2.1) along the cyclone track is used as a starting
point. In 6 h time steps and for a <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">36</mml:mn></mml:mrow></mml:math></inline-formula> h window frame around the MDP, we search within a radius of 1500 <inline-formula><mml:math id="M37" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> surrounding
the centre of<?pagebreak page94?> the cyclone location at that time for the maximum values of IWV which are above the local 85th monthly percentile. If
a grid point is selected, the neighbouring grid points are also investigated. This procedure continues as long as the threshold
conditions are met, building 2-D features. A feature must have a minimum extension of 2000 <inline-formula><mml:math id="M38" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> to be considered an AR. The
search radius of 1500 <inline-formula><mml:math id="M39" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> has been selected to take the shape and geometry of ARs and cyclones into account. While smaller radii
of search may be in some cases insufficient to detect ARs in the vicinity of large cyclones, larger radii of search could detect other
ARs which are unrelated to the analysed cyclone, leading to a false detection.</p>
      <p id="d1e738">The second ARs detection scheme was developed by Guan and Waliser (2015) (hereafter GUAN2015) using also the ERA-Interim
Reanalysis. The database used here (shape boundary and axis of the ARs) was provided by the authors.  For this method, there is no
need for a reference starting point to search for the ARs. Instead, the method isolates<?pagebreak page95?> contiguous regions of the world of enhanced IVT
exceeding a certain IVT threshold (<inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">85</mml:mn></mml:mrow></mml:math></inline-formula>th percentile or 100 <inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, whichever is greater). Each of these regions
will be subsequently analysed for the geometry requirement of length <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">2000</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M43" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula>, length/width ratio <inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> and other
considerations indicative of ARs conditions (see Guan and Waliser, 2015).  Both algorithms operate using variable spatial and time
dependent thresholds. The assignment of the cyclones to the GUAN2015 ARs is performed in an identical way as for EIRAS2016 to warrant
comparability. Both methodologies were applied to both EC and NEC sub-sets in order to quantify the role of the ARs for the development
of explosive cyclones.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Example of detection</title>
      <p id="d1e810">A good example of a well-defined AR can be found in Fig. 2. The selected case corresponds to an explosive cyclone where the MDP
occurred on the 31 January 1988 at 18:00 UTC west of Ireland (approximately at latitude 51<inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and longitude 20<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W,
red dot in Fig. 2b and c). The overall IWV pattern is clearly compatible with the presence of an AR-like structure located in the North
Atlantic Ocean, showing an extensive region with high IWV values extending from the Caribbean to the British Isles (Fig. 2a). In this
case, the IVT preferred direction along the high IWV region is directed from SW to NE between the sub-tropics and the cyclone
centre. However it seems that for these particular time steps the supply of water  vapour from the tropics is cut off by the presence of the high-pressure system located east of Florida which steers the IVT direction from the sub-tropics to the tropics. This preliminary visual
assessment of the presence of an ARs is confirmed using the GUAN2015 algorithm in Fig. 2b, where the two highlighted regions that are
distinguished corresponding to the “shape” region (reddish), which is the region where the AR can exist, and the blue line depicts the
central axis of maximum intensity of the AR detected by the GUAN2015 method. Similarly, in Fig. 2c the results for the EIRAS2016, for
the same case, are shown; here the detection of the central axis of the AR (blue crosses) event illustrated in Fig. 2a is shown.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
      <p id="d1e838">Both AR detection methodologies were applied to the entire cyclone database.  The obtained information was used to estimate the
relevance of the ARs in the occurrence of explosive cyclogenesis and compare it with the corresponding NEC results. First, we analyse
the samples of cyclones in each sub-set in terms of the evolution of core pressure over time. Supplement Fig. S1 depicts the
distributions of core pressure values from <inline-formula><mml:math id="M47" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>36 h until <inline-formula><mml:math id="M48" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>36 h from MDP, for both the North Atlantic and North Pacific basins and
for EC and NEC. Please note that the number of cyclones included in the statistics changes over time (Supplement Table S1), as not
all systems have the same lifetime. EC systems typically deepen around 30 <inline-formula><mml:math id="M49" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> during their lifetime and attain a minimum core
pressure around MDP<inline-formula><mml:math id="M50" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>6 or <inline-formula><mml:math id="M51" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>12 h. Afterwards, occlusion advances and the systems fill in and consequently core pressure slowly
increases with time. On the other hand, the pressure changes for NEC is typically much smaller (around 10 <inline-formula><mml:math id="M52" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula>) and the minimum
peak intensity is difficult to identify since the core pressure more or less is stable after MDP. The increase in core pressure over
time after MDP<inline-formula><mml:math id="M53" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>6 <inline-formula><mml:math id="M54" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> is thus not identifiable for NEC systems.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e900"><bold>(a)</bold> Ratio of coincidence between the position of the cyclones for the North Atlantic Basin and the presence of an
Atmospheric River in a 1500 <inline-formula><mml:math id="M55" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> radius. The maximum deepening point (MDP) is fixed as time reference and results are shown for
<inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">36</mml:mn></mml:mrow></mml:math></inline-formula> h of the MDP. Red lines correspond to the GUAN2015 method and black lines to the EIRAS2016 method. Solid lines refer to
explosive cyclogenesis (EC) and dotted lines refer to non-explosive events (NEC). <bold>(b)</bold> As <bold>(a)</bold> but for the North
Pacific Basin. In addition the variance of each time step is also shown.</p></caption>
        <?xmltex \igopts{width=327.206693pt}?><graphic xlink:href="https://esd.copernicus.org/articles/9/91/2018/esd-9-91-2018-f03.png"/>

      </fig>

      <p id="d1e934">Regarding the concurrence of these events with ARs, Fig. 3 shows the ratios of observed coincidence between the EC and the presence of
an AR within a 1500 <inline-formula><mml:math id="M57" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> radius of the cyclone for the North Atlantic (Fig. 3a) and for the North Pacific (Fig. 3b), including the
variance as the error bars for each MDP. The first prominent result is high ratios of coincidence between ARs for EC, peaking between
70 and 80 % for time lags MDP-6 <inline-formula><mml:math id="M58" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> to MDP<inline-formula><mml:math id="M59" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>6. When focusing on the North Atlantic region (Fig. 3a), the maximum
(<inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">78</mml:mn></mml:mrow></mml:math></inline-formula> %) is found for the MDP<inline-formula><mml:math id="M61" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>6 <inline-formula><mml:math id="M62" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> using the GUAN2016, while using the EIRAS2016 the maximum (<inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">74</mml:mn></mml:mrow></mml:math></inline-formula> %) is
at the MDP timing. Likewise, for the Pacific Basin (Fig. 3b) the ratios of coincidence with the ARs reach a maximum of 78 % when
using the GUAN2016 on the MDP-6, while when using the EIRAS2016 its maximum (<inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">72</mml:mn></mml:mrow></mml:math></inline-formula> %) is found at the MDP. The results for
the EC are in line with those found by Zhu and Newell (1994) and Ferreira et al. (2016) for a few selected case studies, where ARs were
identified near the cyclones during an explosive cyclogenesis. In addition, we show here that the temporal coincidence between the ARs
and explosive deepening of the cyclone takes place primarily between <inline-formula><mml:math id="M65" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6 <inline-formula><mml:math id="M66" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M67" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>6 <inline-formula><mml:math id="M68" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> around the MDP. Our results
support the findings by Pirret et al. (2017), as the presence
of the ARs will enhance the warm advection ahead of the cyclone core during the development phase.</p>
      <p id="d1e1032">For NEC, the concurrence of ARs during the development phase is considerably smaller. For the North Atlantic Region (Fig. 3a), the values
for NEC range from about 55 % with the GUAN2015 and close to 45 % with the EIRAS2016 method. For the North Pacific Basin
(Fig. 3b), results for the NEC are similar (but lower ratios) to those found for the North Atlantic Basin, ranging from approximately
46 % in the GUAN2015 to nearly 42 % when using EIRAS2016. In addition, for the NEC, there is apparently an increase in the
ratio of coincidence between the position of the NEC and the presence of the ARs from <inline-formula><mml:math id="M69" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>36 <inline-formula><mml:math id="M70" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> to <inline-formula><mml:math id="M71" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>36 <inline-formula><mml:math id="M72" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula>. This can be
associated with the convergence of moisture along the frontal system of the cyclones (Dacre et al., 2015) along with tropical moisture
export episodes (Knippertz and Wernli (2010) which can potentiate the formation of an AR in the latter stages of the NEC.</p>
      <?pagebreak page96?><p id="d1e1064">The conclusions attained with both methodologies are very similar. While a clear peak is identified close to the MDP for EC, for NEC
a stable relationship with the ARs is identified in both methodologies with almost no changes in the ratio of coincidence when
analysing the different 6 <inline-formula><mml:math id="M73" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> time frames. However, the ratio of coincidence is always higher when using the GUAN2015.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e1076">Composite of the integrated vapour transport (IVT, colours, <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) within a 1500 <inline-formula><mml:math id="M75" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> radius around the cyclone
core of an explosive cyclogenesis (EC) cyclone for the North Atlantic Basin for the period 1979–2011. The maximum deepening point
(MDP) is fixed as time reference and results are shown for <inline-formula><mml:math id="M76" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>36 h of the MDP.</p></caption>
        <?xmltex \igopts{width=327.206693pt}?><graphic xlink:href="https://esd.copernicus.org/articles/9/91/2018/esd-9-91-2018-f04.jpg"/>

      </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F5" specific-use="star"><caption><p id="d1e1127">Same as Fig. 4 but for non-explosive cyclogenesis (NEC).</p></caption>
        <?xmltex \igopts{width=327.206693pt}?><graphic xlink:href="https://esd.copernicus.org/articles/9/91/2018/esd-9-91-2018-f05.jpg"/>

      </fig>

      <?pagebreak page99?><p id="d1e1136">Regarding the spatial distribution of the EC-AR coincidences, no conclusions can be achieved based on our results. Supplement Fig. S2
shows the position of the EC during the MDP if the AR coincidence was detected (red dots) and if it was not (black crosses). At first
sight, the coincidences and non-coincidences of explosive cyclogenesis with ARs seem to be roughly equally distributed throughout the
Atlantic and Pacific domains. However, on the downstream end of the storm tracks, cases with concurrent AR seem to dominate (e.g. over
the British Isles). Still, no general conclusions can be made on a possible relation on the location of explosive cyclogenesis and
concurrence (or non-concurrence) with anomalous moisture flux near the cyclones.</p>
      <p id="d1e1139">In order to analyse the flux of moisture near the cyclones within <inline-formula><mml:math id="M77" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>36 h of the MDP, spatial composites of the IVT within radius
of 1500 <inline-formula><mml:math id="M78" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> from the cyclone core were computed for each time step, for the EC and for the NEC and for both domains. Figure 4
shows the composites of the IVT in the surroundings of EC between <inline-formula><mml:math id="M79" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>36 <inline-formula><mml:math id="M80" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M81" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>36 <inline-formula><mml:math id="M82" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> from the MDP at 6 <inline-formula><mml:math id="M83" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> time
steps for the North Atlantic, while Fig. 5 shows the same fields but for NEC. One key difference between both figures is noticeable
differences in the IVT fields, which implies the presence of intense IVT values akin to AR-like structures in explosive cyclogenesis
when compared to the NEC events.</p>
      <p id="d1e1193">Since ARs are commonly spatially associated with the warm sector of the cyclone, the evolution of the IVT fields throughout the
36 <inline-formula><mml:math id="M84" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> time frame adjacent to the MDP frame depicts the general frontal evolution over the cyclogenesis event. Note that the AR
is already quite prominent at MDP-36 <inline-formula><mml:math id="M85" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> for EC events, and its position slowly rotates around the cyclone core MDP with slightly
increasing intensities. Also noteworthy is the fact that, after the MDP point, not only does the AR strongly weaken but its central axis
also tends to be detached from the cyclone with increasing time, corresponding to the detachment from the warm sector from the cyclone core
at later stages of cyclone development (occlusion is initiated). This conclusion is in line with that obtained by Zhu and Newell (1994)
for a much smaller number of cases. While the EC samples are dominated by systems associated with an AR (Fig. 3), this is not always
the case. In order to evaluate this in more detail, we analysed additional composites by separating the EC cyclones in two categories,
namely EC with AR (EC-AR) and without AR (EC-nonAR; Supplement Fig. S3). As expected, results show that there is a considerable
difference in the composites between EC-AR and EC-nonAR, with high values of IVT identified for EC-AR and considerable lower values for
EC-nonAR. The figures for EC-nonAR are more similar to NEC systems (not shown).</p>
      <p id="d1e1210">Supplement Figs. S4 and S5 show the composites for EC and NEC events but for the North Pacific domain. No meaningful differences can be
observed between the North Atlantic and the North Pacific basins, and thus the conclusions are the same for the North Atlantic. The
results suggest the importance of latent heat released when the cyclones encounter the ARs, leading to intense condensation process,
thus providing an important source of energy when the cyclone is in its deepening phase (e.g. Danard, 1964; Bullock and Jonhson, 1971;
Whitaker and Davis, 1994).</p>
      <p id="d1e1213">The results presented in this section have revealed two main new insights.  First, the highest ratio of the present of the ARs in the
vicinity of EC is found within <inline-formula><mml:math id="M86" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>6 h of the MDP. Second, it is apparent for EC events that the AR is located very close to the
cyclone centre prior to MDP, while the AR becomes detached from the EC core once the cyclone stops deepening. As a result, we confirm
the hypothesis that the presence of an AR raises the odds of an explosive cyclogenesis occurrence and is thus not only merely
a statistical relationship as suggested by Ferreira et al. (2016) for three modelled EC case studies.</p>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e1229">We investigated the importance of ARs in the development of explosive cyclogenesis on both North Atlantic and North Pacific basins
using two different algorithms for AR identification. With this aim, the concurrence of the presence of AR in the vicinity of
developing cyclones was quantified over different time lags. The main results are summarized in the following:
<list list-type="bullet"><list-item>
      <p id="d1e1234">ARs are present very frequently within the vicinity of cyclones undergoing EC, reaching maximum values close to 80 % near the
MDP (<inline-formula><mml:math id="M87" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula>6 h) for both domains. The concurrence of ARs with NEC is 42–46 % for NEC.</p></list-item><list-item>
      <p id="d1e1245">While slightly different results are obtained with the two AR methodologies,
the results are consistent, both in terms of the general numbers and the time
evolution of concurrences between AR and cyclogenesis over time. While
a clear peak is found for EC, a steady relationship is identified for NEC. The
obtained conclusions are thus robust and largely independent of the detection
AR algorithm used.</p></list-item><list-item>
      <p id="d1e1249">Since ARs are commonly associated with the warm sector of the cyclone, the evolution of the IVT fields throughout the <inline-formula><mml:math id="M88" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>36 <inline-formula><mml:math id="M89" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula>
frame surrounding the MDP point depicts the general frontal evolution over the cyclogenesis event.  Prior to the MDP, high values of
IVT are already present at <inline-formula><mml:math id="M90" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>36 h, with the maximum values of IVT appearing around the MDP (<inline-formula><mml:math id="M91" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula>6 <inline-formula><mml:math id="M92" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula>).  Afterwards, the IVT
values quickly decrease and the central AR axis tends to be detached from the cyclone.</p></list-item><list-item>
      <p id="d1e1288">The analysis of NEC composites reveals much lower values of IVT during development. This is a clear indication of the unusual
characteristics of the IVT for EC cases.</p></list-item></list>
The above results strongly indicate that the presence of an AR near the developing cyclone is related to a higher probability of an
explosive cyclogenesis occurrence. A detailed analysis of the time evolution of the high values of water vapour flux associated with
the AR during the cyclone development phase leads us to hypothesize that this fact is a fingerprint of a physical mechanism that raises
the odds of an explosive cyclogenesis occurrence and not merely a statistical relationship. Given the previous work of Zhu and Newell
(1994) on selected case studies, our analysis allows for a systemization of results from a climatological perspective. This insight can
be potentially helpful to a better understanding of the occurrence of high-impact weather associated with both explosive cyclones and
atmospheric rivers. A detailed analysis of the changes in terms of cyclone structure and intensity would enable a further step forward
towards a better predictability of such extreme events.</p>
      <p id="d1e1292">Regarding future climate projections, Ramos et al. (2016b) showed that most models from CMIP5 project a coherent increase in IVT
values over the North Atlantic Basin and an increase in the number of ARs that hit western Europe by the end of the 21st century,
although this is more evident with emissions scenario RCP8.5 than with scenario RCP4.5. Taken together with the new insights of the current paper, such climate change scenarios imply that the probability of intense extratropical
explosive cyclones will increase in future decades.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p id="d1e1300">No public data are derived from this research.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e1303">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/esd-9-91-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/esd-9-91-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p id="d1e1312">JEB, AMR, and JGP developed the concept of the paper and wrote the first manuscript draft. JEB performed the data
analysis and prepared the figures.  MLR provided the cyclone track data. All authors contributed with ideas, interpretation of the
results, and manuscript revisions.</p>
  </notes><notes notes-type="competinginterests">

      <p id="d1e1318">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="sistatement">

      <p id="d1e1324">This article is part of the special issue “The 8th EGU Leonardo Conference: From evaporation to precipitation: the
atmospheric moisture transport”. It is a result of the 8th EGU Leonardo Conference, Ourense, Spain, 25–27 October 2016.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1330">The ECMWF ERA-Interim reanalysis data were obtained from
<uri>https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim</uri>.  Jorge Eiras-Barca would like
to thank Bin Guan for kindly sharing the ARs detection database. Jorge Eiras-Barca was financially supported by the Spanish government
(MINECO) and Xunta de Galicia (CGL2013-45932-R, GPC2015/014 – ERDF), and contributions by the COST action MP1305 and CRETUS
Strategic Partnership (AGRUP2015/02).  Alexandre M. Ramos was supported through a postdoctoral grant (SFRH/BPD/84328/2012) from the
Portuguese Science Foundation (Fundação para a Ciência e a Tecnologia, FCT).  Alexandre M. Ramos and Ricardo M. Trigo
were supported by the project IMDROFLOOD – Improving Drought and Flood Early Warning, Forecasting and Mitigation using real-time
hydroclimatic indicators (WaterJPI/0004/2014), funded by Fundação para a Ciência e a Tecnologia, Portugal (FCT).
Joaquim G. Pinto thanks AXA Research Fund for support. The authors thank Helen Dacre and Vicente Pérez Muñuzuri for helpful
discussions. Finally the authors would like to thank Antonio Speranza and two anonymous referees, who helped to improve the final version of the manuscript.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Valerio Lucarini <?xmltex \hack{\newline}?>
Reviewed by: Antonio Speranza and two anonymous referees</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>Aubert, E. J.: On the release of latent heat as a factor in large scale atmospheric motions, J. Meteorol., 14, 527–542,
<ext-link xlink:href="https://doi.org/10.1175/1520-0469(1957)014&lt;0527:OTROLH&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1957)014&lt;0527:OTROLH&gt;2.0.CO;2</ext-link>, 1957.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>Bao, J- W., Michelson, S. A., Neiman, P. J., Ralph, F. M., and Wilczak, J. M.: Interpretation of enhanced integrated water
vapor bands associated with extratropical cyclones: Their formation and connection to tropical moisture, Mon. Weather Rev., 134,
1063–1080, <ext-link xlink:href="https://doi.org/10.1175/MWR3123.1" ext-link-type="DOI">10.1175/MWR3123.1</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>Bergeron, T.: The problem of tropical hurricanes, Q. J. Roy. Meteor. Soc., 80, 131–164, <ext-link xlink:href="https://doi.org/10.1002/qj.49708034402" ext-link-type="DOI">10.1002/qj.49708034402</ext-link>, 1954.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>Blamey, R. C., Ramos, A. M., Trigo, R. M., Tomé, R., and Reason, C. J.: The influence of
Atmospheric Rivers over the South Atlantic on Winter Rainfall in South Africa, J. Hydrometeor., 19, 127–142, <ext-link xlink:href="https://doi.org/10.1175/JHM-D-17-0111.1" ext-link-type="DOI">10.1175/JHM-D-17-0111.1</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>Brands, S., Gutiérrez, J. M., and San-Martín, D.: Twentieth-century atmospheric river activity along the west
coasts of Europe and North America: algorithm formulation, reanalysis uncertainty and links to atmospheric circulation patterns,
Clim. Dynam., 48, 9–10, <ext-link xlink:href="https://doi.org/10.1007/s00382-016-3095-6" ext-link-type="DOI">10.1007/s00382-016-3095-6</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>Bullock, B. R. and Johnson, D. R.: The generation of available potential energy by sensible heating in southern ocean
cyclones, Q. J. Roy. Meteor. Soc., 98, 495–518, <ext-link xlink:href="https://doi.org/10.1002/qj.49709841703" ext-link-type="DOI">10.1002/qj.49709841703</ext-link>, 1971.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>Dacre, H., Clark, P., Martinez-Alvarado, O., Stringer, M., and Lavers, D.: How do atmospheric rivers form?,
B. Am. Meteorol. Soc., 96, 1243–1255, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-14-00031.1" ext-link-type="DOI">10.1175/BAMS-D-14-00031.1</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>Danard, M. B.: On the influence of released latent heat on cyclone development, J. Appl. Meteorol., 3, 27–37, <ext-link xlink:href="https://doi.org/10.1175/1520-0450(1964)003&lt;0027:OTIORL&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0450(1964)003&lt;0027:OTIORL&gt;2.0.CO;2</ext-link>, 1964.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>Davis, C. A.: Piecewise potential vorticity inversion, J. Atmos. Sci., 49, 1397–1411, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(1992)049&lt;1397:PPVI&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1992)049&lt;1397:PPVI&gt;2.0.CO;2</ext-link>, 1992.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G.,<?pagebreak page101?> Bauer, P., Bechtold, P.,
Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R.,
Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V.,
Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P.,
Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P.,
Tavolato, C., Thépaut, J.-N., and Vitart, F. : The ERA-Interim reanalysis: configuration and performance of
the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, <ext-link xlink:href="https://doi.org/10.1002/qj.828" ext-link-type="DOI">10.1002/qj.828</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>Dettinger, M., Ralph, F. M., Das, T., Neiman, P. J., and Cayan, D. R.: Atmospheric rivers, floods and the water resources
of California, Water, 3, 445–478, <ext-link xlink:href="https://doi.org/10.1002/qj.828" ext-link-type="DOI">10.1002/qj.828</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>Eiras-Barca, J., Brands, S., and Miguez-Macho, G.: Seasonal variations in North Atlantic atmospheric river activity and
associations with anomalous precipitation over the Iberian Atlantic Margin, J. Geophys. Res.-Atmos., 121, 931–948,
<ext-link xlink:href="https://doi.org/10.1002/2015JD023379" ext-link-type="DOI">10.1002/2015JD023379</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Eiras-Barca, J., Dominguez, F., Hu, H., Garaboa-Paz, D., and Miguez-Macho, G.: Evaluation of the moisture sources in two
extreme landfalling atmospheric river events using an Eulerian WRF tracers tool, Earth Syst. Dynam., 8, 1247–1261,
<ext-link xlink:href="https://doi.org/10.5194/esd-8-1247-2017" ext-link-type="DOI">10.5194/esd-8-1247-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>Emanuel, K. A.: The dependence of hurricane intensity on climate, Nature, 326, 483–85, <ext-link xlink:href="https://doi.org/10.1063/1.43909" ext-link-type="DOI">10.1063/1.43909</ext-link>, 1987.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>Ferreira, J. A., Liberato, M. L. R., Ramos, A. M.: On the relationship between atmospheric water vapour transport and
extra-tropical cyclones development, Phys. Chem. Earth, 94, 56–65, <ext-link xlink:href="https://doi.org/10.1016/j.pce.2016.01.001" ext-link-type="DOI">10.1016/j.pce.2016.01.001</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>Fink, A. H., Brücher, T., Ermert, V., Krüger, A., and Pinto, J. G.:
The European storm Kyrill in January 2007: synoptic evolution, meteorological impacts and
some considerations with respect to climate change, Nat. Hazards Earth Syst. Sci., 9, 405–423, <ext-link xlink:href="https://doi.org/10.5194/nhess-9-405-2009" ext-link-type="DOI">10.5194/nhess-9-405-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>Fink, A. H., Pohle, S., Pinto, J. P., and Knippertz, P.: Diagnosing the influence of diabatic processes on the explosive
deepening of extratropical cyclones, Geophys. Res. Lett., 39, L07803, <ext-link xlink:href="https://doi.org/10.1029/2012GL051025" ext-link-type="DOI">10.1029/2012GL051025</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>Gimeno, L., Nieto, R., Vázquez, M., and Lavers, D. A.: Atmospheric rivers: a mini-review, Front. Earth Sci., 2, 2,
<ext-link xlink:href="https://doi.org/10.3389/feart.2014.00002" ext-link-type="DOI">10.3389/feart.2014.00002</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>Gimeno, L., Dominguez, F., Nieto, R., Trigo, R., Drumond, A., Reason, C., Taschetto, A. S., Ramos, A. M., Kumar, R., and
Marengo, J.: Major mechanisms of atmospheric moisture transport and their role in extreme precipitation events,
Annu. Rev. Env. Resour., 41, 117–141, <ext-link xlink:href="https://doi.org/10.1146/annurev-environ-110615-085558" ext-link-type="DOI">10.1146/annurev-environ-110615-085558</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>Gómara, I., Pinto, J. G., Woollings, T., Masato, G., Zurita-Gotor, P., and Rodríguez-Fonseca, B.: Rossby
wave-breaking analysis of explosive cyclones in the Euro-Atlantic sector, Q. J. Roy. Meteor. Soc., 140, 738–753,
<ext-link xlink:href="https://doi.org/10.1002/qj.2190" ext-link-type="DOI">10.1002/qj.2190</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>Guan, B. and Waliser, D. E.: Detection of atmospheric rivers: evaluation and application of an algorithm for global
studies, J. Geophys. Res.-Atmos., 120, 12514–12535, <ext-link xlink:href="https://doi.org/10.1002/2015JD024257" ext-link-type="DOI">10.1002/2015JD024257</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>Guan, B., Molotch, N. P., Waliser, D. E., Fetzer, E. J., and Neiman, P. J.: Extreme snowfall events linked to atmospheric
rivers and surface air temperature via satellite measurements, Geophys. Res. Lett., 37, L20401, <ext-link xlink:href="https://doi.org/10.1029/2010GL044696" ext-link-type="DOI">10.1029/2010GL044696</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>Hanley, J. and Caballero, R.: The role of large-scale atmospheric flow and Rossby wave breaking in the evolution of
extreme windstorms over Europe, Geophys. Res. Lett., 39, L21708, <ext-link xlink:href="https://doi.org/10.1029/2012GL053408" ext-link-type="DOI">10.1029/2012GL053408</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>Knippertz, P. and Wernli, H.: A Lagrangian climatology of tropical moisture exports to the Northern Hemispheric
extratropics, J. Climate, 23, 987–1003, <ext-link xlink:href="https://doi.org/10.1175/2009JCLI3333.1" ext-link-type="DOI">10.1175/2009JCLI3333.1</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation> Lamb, H.: Historic Storms of the North Sea, British Isles and Northwest Europe, Cambridge University Press, Cambridge,
1991.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation>Lavers, D. A. and Villarini, G.: The nexus between atmospheric rivers and extreme precipitation across Europe,
Geophys. Res. Lett., 40, 3259–3264, <ext-link xlink:href="https://doi.org/10.1002/grl.50636" ext-link-type="DOI">10.1002/grl.50636</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation>Lavers, D. A., Villarini, G., Allan, R. P., Wood, E. F., and Wade, A. J.: The detection of atmospheric rivers in
atmospheric reanalyses and their links to British winter floods and the large-scale climatic circulation, J. Geophys. Res.-Atmos.,
117, D20106, <ext-link xlink:href="https://doi.org/10.1029/2012JD018027" ext-link-type="DOI">10.1029/2012JD018027</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation>Liberato, M. L. R., Ramos, A. M., Trigo, R. M., Trigo, I. F., Durán-Quesada, A. M., Nieto, R., and Gimeno, L.:
Moisture sources and large-scale dynamics associated with a flash flood event, in: Lagrangian Modeling of the Atmosphere, edited by:
Lin, J., Brunner, D., Gerbig, C., Stohl, A., Luhar, A., and Webley, P., American Geophysical Union, Washington, DC,
<ext-link xlink:href="https://doi.org/10.1029/2012GM001244" ext-link-type="DOI">10.1029/2012GM001244</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation>Ludwig, P., Pinto, J. G., Reyers, M., and Gray, S. L.: The role of anomalous SST and surface fluxes over the southeastern
North Atlantic in the explosive development of windstorm Xynthia, Q. J. Roy. Meteor. Soc., 140, 1729–1741, <ext-link xlink:href="https://doi.org/10.1002/qj.2253" ext-link-type="DOI">10.1002/qj.2253</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>Mahoney, K. M., Jackson, D. L., Neiman, P., Hughes, M., Darby, M., Wick, G., White, A., Sukovich, E., and Cifelli, R.:
Understanding the role of atmospheric rivers in heavy precipitation in the Southeast US, Mon. Weather Rev., 144, 1617–1632, <ext-link xlink:href="https://doi.org/10.1175/MWR-D-15-0279.1" ext-link-type="DOI">10.1175/MWR-D-15-0279.1</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation>Malguzzi, P., Grossi, G., Buzzi, A., Ranzi, R., and Buizza, R.: The 1966 “century” flood in Italy: a meteorological and
hydrological revisitation, J. Geophys. Res.-Atmos., 111, 111, D24106, <ext-link xlink:href="https://doi.org/10.1029/2006JD007111" ext-link-type="DOI">10.1029/2006JD007111</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation> Munich Re: Natural Catastrophes 2014, Analyses, Assessments, Positions, TOPICS-GEO 2014, Munich, 67 p., 2015.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation>Neiman, P. J., Ralph, F. M., Wick, G. A., Lundquist, J. D., and Dettinger, M. D.: Meteorological characteristics and
overland precipitation impacts of atmospheric rivers affecting the West Coast of North America based on eight years of SSM/I
satellite observations, J. Hydrometeorol., 9, 22–47, <ext-link xlink:href="https://doi.org/10.1175/2007JHM855.1" ext-link-type="DOI">10.1175/2007JHM855.1</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation>Neu, U., Akperov, M. G., Bellenbaum, N., Benestad, R., Blender, R., Caballero, R., Cocozza, A.,
Dacre, H. F., Feng, Y., Fraedrich, K., Grieger, J., Gulev, S., Hanley, J., Hewson, T.,
Inatsu, M., Keay, K., Kew, S. F., Kindem, I., Leckebusch, G. C., Liberato, M. L.,
Lionello, P., Mokhov, I. I., Pinto, J. G., Raible, C. C., Reale, M., Rudeva, I.,
Schuster, M., Simmonds, I., Sinclair, M., Sprenger, M., Tilinina, N. D.,
Trigo, I. F., Ulbrich, S., Ulbrich, U., Wang, X. L., and Wernli, H.:
IMILAST: A Community Effort to Intercompare Extratropical Cyclone Detection and
Tracking Algorithms, B. Am. Meteorol. Soc., 94, 529–547, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-11-00154.1" ext-link-type="DOI">10.1175/BAMS-D-11-00154.1</ext-link>, 2013.</mixed-citation></ref>
      <?pagebreak page102?><ref id="bib1.bib35"><label>35</label><mixed-citation>Newell, R. E. and Zhu, Y.: Tropospheric rivers: a one-year record and possible application to ice core data,
Geophys. Res. Lett., 21, 113–116, <ext-link xlink:href="https://doi.org/10.1029/93GL03113" ext-link-type="DOI">10.1029/93GL03113</ext-link>, 1994.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation>Pinto, J. G., Zacharias, S., Fink, A. H., Leckebusch, G. C., and Ulbrich, U.: Factors contributing to the development of
extreme North Atlantic cyclones and their relationship with the NAO, Clim. Dynam., 32, 711–737, <ext-link xlink:href="https://doi.org/10.1007/s00382-008-0396-4" ext-link-type="DOI">10.1007/s00382-008-0396-4</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation>Pirret, J. S. R., Knippertz, P., and Trzeciak, T. M.: Drivers for the deepening of severe European windstorms and their
impacts on forecast quality, Q. J. Roy. Meteor. Soc., 143, 309–320, <ext-link xlink:href="https://doi.org/10.1002/qj.2923" ext-link-type="DOI">10.1002/qj.2923</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>Ralph, F. M. and Dettinger, M. D.: Storms, floods, and the science of atmospheric rivers, Eos Trans. AGU, 92, 265, <ext-link xlink:href="https://doi.org/10.1029/2011EO320001" ext-link-type="DOI">10.1029/2011EO320001</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><mixed-citation>Ralph, F. M., Neiman, P. J., and Wick, G. A.: Satellite and CALJET aircraft observations of atmospheric rivers over the
eastern North Pacific Ocean during the winter of 1997/98, Mon. Weather Rev., 132, 1721–1745, <ext-link xlink:href="https://doi.org/10.1175/1520-0493(2004)132&lt;1721:SACAOO&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0493(2004)132&lt;1721:SACAOO&gt;2.0.CO;2</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>Ramos, A. M., Trigo, R. M., Liberato, M. L. R., and Tome, R.: Daily precipitation extreme events in the Iberian Peninsula
and its association with Atmospheric Rivers, J. Hydrometeorol., 16, 579–597, <ext-link xlink:href="https://doi.org/10.1175/JHM-D-14-0103.1" ext-link-type="DOI">10.1175/JHM-D-14-0103.1</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation>Ramos, A. M., Nieto, R., Tomé, R., Gimeno, L., Trigo, R. M., Liberato, M. L. R., and Lavers, D. A.: Atmospheric rivers
moisture sources from a Lagrangian perspective, Earth Syst. Dynam., 7, 371–384, <ext-link xlink:href="https://doi.org/10.5194/esd-7-371-2016" ext-link-type="DOI">10.5194/esd-7-371-2016</ext-link>, 2016a.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><mixed-citation>Ramos, A. M., Tomé, R., Trigo, R. M., Liberato, M. L. R., and Pinto, J. G.: Projected changes in atmospheric rivers
affecting Europe in CMIP5 models, Geophys. Res. Lett., 43, 9315–9323, <ext-link xlink:href="https://doi.org/10.1002/2016GL070634" ext-link-type="DOI">10.1002/2016GL070634</ext-link>, 2016b.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><mixed-citation>Sanders, F. and Gyakum, J. R.: Synoptic-dynamic climatology of the “bomb”, Mon. Weather Rev., 108, 1589–1606,
<ext-link xlink:href="https://doi.org/10.1175/1520-0493(1980)108&lt;1589:SDCOT&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0493(1980)108&lt;1589:SDCOT&gt;2.0.CO;2</ext-link>, 1980.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><mixed-citation>Shapiro, M. A., Wernli, H., Bao, J.-W., Methven, J., Zou, X., Neiman, P. J., Donall-Grell, E.,
Doyle, J. D., and Holt, T.:
A planetary-scale to mesoscale perspective of the life cycles of extratropical cyclones: The
bridge between theory and observations, in: The life cycles of extratropical cyclones, edited by: Grønås, S. and Shapiro, M.
A.,
139–185,
Amer. Met. Soc., Boston, USA, 1998.
 </mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib45"><label>45</label><mixed-citation> Snyder, C. and Lindzen, R. S.: Quasi-geostrophic wave-CISK in an unbounded baroclinic shear, J. Atmos. Sci., 48, 78–88,
1991.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><mixed-citation>Trigo, I. F.: Climatology and interannual variability of storm-tracks in the Euro-Atlantic sector: a comparison between
ERA-40 and NCEP/NCAR reanalyses, Clim. Dynam., 26, 127–143, <ext-link xlink:href="https://doi.org/10.1007/s00382-005-0065-9" ext-link-type="DOI">10.1007/s00382-005-0065-9</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><mixed-citation> Trigo, I. F., Davies, T. D., and Bigg, G. R.: Objective climatology of cyclones in the Mediterranean region, J. Climate,
12, 1685–1696, 1999.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><mixed-citation> Trigo, I. F., Bigg, G. R., and Davies, T. D.: Climatology of cyclogenesis mechanisms in the Mediterranean, Mon. Weather
Rev., 130, 549–569, 2002.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><mixed-citation>Tsou, C.-H., Smith, P. J., and Pauley, P. M.: A comparision of adiabatic and diabatic forcing in an intense extratropical
cyclone system, Mon. Weather Rev., 115, 763–786, <ext-link xlink:href="https://doi.org/10.1175/1520-0493(1987)115&lt;0763:ACOAAD&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0493(1987)115&lt;0763:ACOAAD&gt;2.0.CO;2</ext-link>, 1987.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><mixed-citation> Viale, M. and Nuñez, M. N.: Climatology of winter orographic precipitation over the subtropical Central Andes and
associated synoptic and regional characteristics, J. Hydrometeorol., 12, 481–507, 2011.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><mixed-citation>Wernli, H., Dirren, S., Liniger, M. A., and Zillig, M.: Dynamical aspects of the life-cycle of the winter storm “Lothar”
(24–26 December 1999), Q. J. Roy. Meteor. Soc., 128, 405–429, <ext-link xlink:href="https://doi.org/10.1256/003590002321042036" ext-link-type="DOI">10.1256/003590002321042036</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><mixed-citation> Whitaker, J. S. and Davis, C. A.: Cyclogenesis in a saturated environment, J. Atmos. Sci., 51, 889–908, 1994.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><mixed-citation> Zhu, Y. and Newell, R. E.: Atmospheric rivers and bombs, Geophys. Res. Lett., 21, 1999–2002, 1994.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><mixed-citation> Zhu, Y. and Newell, R. E.: A proposed algorithm for moisture fluxes from atmospheric rivers, Mon. Weather Rev., 126,
725–735, 1998.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>The concurrence of atmospheric rivers and explosive cyclogenesis in the North Atlantic and North Pacific basins</article-title-html>
<abstract-html><p>The explosive cyclogenesis of extratropical cyclones and the occurrence of
atmospheric rivers are characteristic features of a baroclinic atmosphere,
and are both closely related to extreme hydrometeorological events in the
mid-latitudes, particularly on coastal areas on the western side of the
continents. The potential role of atmospheric rivers in the explosive cyclone
deepening has been previously analysed for selected case studies, but
a general assessment from the climatological perspective is still missing.
Using ERA-Interim reanalysis data for 1979–2011, we analyse the concurrence
of atmospheric rivers and explosive cyclogenesis over the North Atlantic and
North Pacific basins for the extended winter months (ONDJFM). Atmospheric
rivers are identified for almost 80&thinsp;% of explosive deepening cyclones.
For non-explosive cyclones, atmospheric rivers are found only in roughly
40&thinsp;% of the cases. The analysis of the time evolution of the high
values of water vapour flux associated with the atmospheric river during the
cyclone development phase leads us to hypothesize that the identified
relationship is the fingerprint of a mechanism that raises the odds of an
explosive cyclogenesis occurrence and not merely a statistical relationship.
These new insights on the relationship between explosive cyclones and
atmospheric rivers may be helpful to a better understanding of the associated
high-impact weather events.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation> Aubert, E. J.: On the release of latent heat as a factor in large scale atmospheric motions, J. Meteorol., 14, 527–542,
<a href="https://doi.org/10.1175/1520-0469(1957)014&lt;0527:OTROLH&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1957)014&lt;0527:OTROLH&gt;2.0.CO;2</a>, 1957.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation> Bao, J- W., Michelson, S. A., Neiman, P. J., Ralph, F. M., and Wilczak, J. M.: Interpretation of enhanced integrated water
vapor bands associated with extratropical cyclones: Their formation and connection to tropical moisture, Mon. Weather Rev., 134,
1063–1080, <a href="https://doi.org/10.1175/MWR3123.1" target="_blank">https://doi.org/10.1175/MWR3123.1</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation> Bergeron, T.: The problem of tropical hurricanes, Q. J. Roy. Meteor. Soc., 80, 131–164, <a href="https://doi.org/10.1002/qj.49708034402" target="_blank">https://doi.org/10.1002/qj.49708034402</a>, 1954.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Blamey, R. C., Ramos, A. M., Trigo, R. M., Tomé, R., and Reason, C. J.: The influence of
Atmospheric Rivers over the South Atlantic on Winter Rainfall in South Africa, J. Hydrometeor., 19, 127–142, <a href="https://doi.org/10.1175/JHM-D-17-0111.1" target="_blank">https://doi.org/10.1175/JHM-D-17-0111.1</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation> Brands, S., Gutiérrez, J. M., and San-Martín, D.: Twentieth-century atmospheric river activity along the west
coasts of Europe and North America: algorithm formulation, reanalysis uncertainty and links to atmospheric circulation patterns,
Clim. Dynam., 48, 9–10, <a href="https://doi.org/10.1007/s00382-016-3095-6" target="_blank">https://doi.org/10.1007/s00382-016-3095-6</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation> Bullock, B. R. and Johnson, D. R.: The generation of available potential energy by sensible heating in southern ocean
cyclones, Q. J. Roy. Meteor. Soc., 98, 495–518, <a href="https://doi.org/10.1002/qj.49709841703" target="_blank">https://doi.org/10.1002/qj.49709841703</a>, 1971.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation> Dacre, H., Clark, P., Martinez-Alvarado, O., Stringer, M., and Lavers, D.: How do atmospheric rivers form?,
B. Am. Meteorol. Soc., 96, 1243–1255, <a href="https://doi.org/10.1175/BAMS-D-14-00031.1" target="_blank">https://doi.org/10.1175/BAMS-D-14-00031.1</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation> Danard, M. B.: On the influence of released latent heat on cyclone development, J. Appl. Meteorol., 3, 27–37, <a href="https://doi.org/10.1175/1520-0450(1964)003&lt;0027:OTIORL&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0450(1964)003&lt;0027:OTIORL&gt;2.0.CO;2</a>, 1964.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation> Davis, C. A.: Piecewise potential vorticity inversion, J. Atmos. Sci., 49, 1397–1411, <a href="https://doi.org/10.1175/1520-0469(1992)049&lt;1397:PPVI&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1992)049&lt;1397:PPVI&gt;2.0.CO;2</a>, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation> Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P.,
Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R.,
Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V.,
Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P.,
Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P.,
Tavolato, C., Thépaut, J.-N., and Vitart, F. : The ERA-Interim reanalysis: configuration and performance of
the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, <a href="https://doi.org/10.1002/qj.828" target="_blank">https://doi.org/10.1002/qj.828</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation> Dettinger, M., Ralph, F. M., Das, T., Neiman, P. J., and Cayan, D. R.: Atmospheric rivers, floods and the water resources
of California, Water, 3, 445–478, <a href="https://doi.org/10.1002/qj.828" target="_blank">https://doi.org/10.1002/qj.828</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation> Eiras-Barca, J., Brands, S., and Miguez-Macho, G.: Seasonal variations in North Atlantic atmospheric river activity and
associations with anomalous precipitation over the Iberian Atlantic Margin, J. Geophys. Res.-Atmos., 121, 931–948,
<a href="https://doi.org/10.1002/2015JD023379" target="_blank">https://doi.org/10.1002/2015JD023379</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation> Eiras-Barca, J., Dominguez, F., Hu, H., Garaboa-Paz, D., and Miguez-Macho, G.: Evaluation of the moisture sources in two
extreme landfalling atmospheric river events using an Eulerian WRF tracers tool, Earth Syst. Dynam., 8, 1247–1261,
<a href="https://doi.org/10.5194/esd-8-1247-2017" target="_blank">https://doi.org/10.5194/esd-8-1247-2017</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation> Emanuel, K. A.: The dependence of hurricane intensity on climate, Nature, 326, 483–85, <a href="https://doi.org/10.1063/1.43909" target="_blank">https://doi.org/10.1063/1.43909</a>, 1987.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation> Ferreira, J. A., Liberato, M. L. R., Ramos, A. M.: On the relationship between atmospheric water vapour transport and
extra-tropical cyclones development, Phys. Chem. Earth, 94, 56–65, <a href="https://doi.org/10.1016/j.pce.2016.01.001" target="_blank">https://doi.org/10.1016/j.pce.2016.01.001</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Fink, A. H., Brücher, T., Ermert, V., Krüger, A., and Pinto, J. G.:
The European storm Kyrill in January 2007: synoptic evolution, meteorological impacts and
some considerations with respect to climate change, Nat. Hazards Earth Syst. Sci., 9, 405–423, <a href="https://doi.org/10.5194/nhess-9-405-2009" target="_blank">https://doi.org/10.5194/nhess-9-405-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation> Fink, A. H., Pohle, S., Pinto, J. P., and Knippertz, P.: Diagnosing the influence of diabatic processes on the explosive
deepening of extratropical cyclones, Geophys. Res. Lett., 39, L07803, <a href="https://doi.org/10.1029/2012GL051025" target="_blank">https://doi.org/10.1029/2012GL051025</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation> Gimeno, L., Nieto, R., Vázquez, M., and Lavers, D. A.: Atmospheric rivers: a mini-review, Front. Earth Sci., 2, 2,
<a href="https://doi.org/10.3389/feart.2014.00002" target="_blank">https://doi.org/10.3389/feart.2014.00002</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation> Gimeno, L., Dominguez, F., Nieto, R., Trigo, R., Drumond, A., Reason, C., Taschetto, A. S., Ramos, A. M., Kumar, R., and
Marengo, J.: Major mechanisms of atmospheric moisture transport and their role in extreme precipitation events,
Annu. Rev. Env. Resour., 41, 117–141, <a href="https://doi.org/10.1146/annurev-environ-110615-085558" target="_blank">https://doi.org/10.1146/annurev-environ-110615-085558</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation> Gómara, I., Pinto, J. G., Woollings, T., Masato, G., Zurita-Gotor, P., and Rodríguez-Fonseca, B.: Rossby
wave-breaking analysis of explosive cyclones in the Euro-Atlantic sector, Q. J. Roy. Meteor. Soc., 140, 738–753,
<a href="https://doi.org/10.1002/qj.2190" target="_blank">https://doi.org/10.1002/qj.2190</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation> Guan, B. and Waliser, D. E.: Detection of atmospheric rivers: evaluation and application of an algorithm for global
studies, J. Geophys. Res.-Atmos., 120, 12514–12535, <a href="https://doi.org/10.1002/2015JD024257" target="_blank">https://doi.org/10.1002/2015JD024257</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation> Guan, B., Molotch, N. P., Waliser, D. E., Fetzer, E. J., and Neiman, P. J.: Extreme snowfall events linked to atmospheric
rivers and surface air temperature via satellite measurements, Geophys. Res. Lett., 37, L20401, <a href="https://doi.org/10.1029/2010GL044696" target="_blank">https://doi.org/10.1029/2010GL044696</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation> Hanley, J. and Caballero, R.: The role of large-scale atmospheric flow and Rossby wave breaking in the evolution of
extreme windstorms over Europe, Geophys. Res. Lett., 39, L21708, <a href="https://doi.org/10.1029/2012GL053408" target="_blank">https://doi.org/10.1029/2012GL053408</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation> Knippertz, P. and Wernli, H.: A Lagrangian climatology of tropical moisture exports to the Northern Hemispheric
extratropics, J. Climate, 23, 987–1003, <a href="https://doi.org/10.1175/2009JCLI3333.1" target="_blank">https://doi.org/10.1175/2009JCLI3333.1</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation> Lamb, H.: Historic Storms of the North Sea, British Isles and Northwest Europe, Cambridge University Press, Cambridge,
1991.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation> Lavers, D. A. and Villarini, G.: The nexus between atmospheric rivers and extreme precipitation across Europe,
Geophys. Res. Lett., 40, 3259–3264, <a href="https://doi.org/10.1002/grl.50636" target="_blank">https://doi.org/10.1002/grl.50636</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation> Lavers, D. A., Villarini, G., Allan, R. P., Wood, E. F., and Wade, A. J.: The detection of atmospheric rivers in
atmospheric reanalyses and their links to British winter floods and the large-scale climatic circulation, J. Geophys. Res.-Atmos.,
117, D20106, <a href="https://doi.org/10.1029/2012JD018027" target="_blank">https://doi.org/10.1029/2012JD018027</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation> Liberato, M. L. R., Ramos, A. M., Trigo, R. M., Trigo, I. F., Durán-Quesada, A. M., Nieto, R., and Gimeno, L.:
Moisture sources and large-scale dynamics associated with a flash flood event, in: Lagrangian Modeling of the Atmosphere, edited by:
Lin, J., Brunner, D., Gerbig, C., Stohl, A., Luhar, A., and Webley, P., American Geophysical Union, Washington, DC,
<a href="https://doi.org/10.1029/2012GM001244" target="_blank">https://doi.org/10.1029/2012GM001244</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation> Ludwig, P., Pinto, J. G., Reyers, M., and Gray, S. L.: The role of anomalous SST and surface fluxes over the southeastern
North Atlantic in the explosive development of windstorm Xynthia, Q. J. Roy. Meteor. Soc., 140, 1729–1741, <a href="https://doi.org/10.1002/qj.2253" target="_blank">https://doi.org/10.1002/qj.2253</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation> Mahoney, K. M., Jackson, D. L., Neiman, P., Hughes, M., Darby, M., Wick, G., White, A., Sukovich, E., and Cifelli, R.:
Understanding the role of atmospheric rivers in heavy precipitation in the Southeast US, Mon. Weather Rev., 144, 1617–1632, <a href="https://doi.org/10.1175/MWR-D-15-0279.1" target="_blank">https://doi.org/10.1175/MWR-D-15-0279.1</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation> Malguzzi, P., Grossi, G., Buzzi, A., Ranzi, R., and Buizza, R.: The 1966 “century” flood in Italy: a meteorological and
hydrological revisitation, J. Geophys. Res.-Atmos., 111, 111, D24106, <a href="https://doi.org/10.1029/2006JD007111" target="_blank">https://doi.org/10.1029/2006JD007111</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation> Munich Re: Natural Catastrophes 2014, Analyses, Assessments, Positions, TOPICS-GEO 2014, Munich, 67 p., 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation> Neiman, P. J., Ralph, F. M., Wick, G. A., Lundquist, J. D., and Dettinger, M. D.: Meteorological characteristics and
overland precipitation impacts of atmospheric rivers affecting the West Coast of North America based on eight years of SSM/I
satellite observations, J. Hydrometeorol., 9, 22–47, <a href="https://doi.org/10.1175/2007JHM855.1" target="_blank">https://doi.org/10.1175/2007JHM855.1</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation> Neu, U., Akperov, M. G., Bellenbaum, N., Benestad, R., Blender, R., Caballero, R., Cocozza, A.,
Dacre, H. F., Feng, Y., Fraedrich, K., Grieger, J., Gulev, S., Hanley, J., Hewson, T.,
Inatsu, M., Keay, K., Kew, S. F., Kindem, I., Leckebusch, G. C., Liberato, M. L.,
Lionello, P., Mokhov, I. I., Pinto, J. G., Raible, C. C., Reale, M., Rudeva, I.,
Schuster, M., Simmonds, I., Sinclair, M., Sprenger, M., Tilinina, N. D.,
Trigo, I. F., Ulbrich, S., Ulbrich, U., Wang, X. L., and Wernli, H.:
IMILAST: A Community Effort to Intercompare Extratropical Cyclone Detection and
Tracking Algorithms, B. Am. Meteorol. Soc., 94, 529–547, <a href="https://doi.org/10.1175/BAMS-D-11-00154.1" target="_blank">https://doi.org/10.1175/BAMS-D-11-00154.1</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation> Newell, R. E. and Zhu, Y.: Tropospheric rivers: a one-year record and possible application to ice core data,
Geophys. Res. Lett., 21, 113–116, <a href="https://doi.org/10.1029/93GL03113" target="_blank">https://doi.org/10.1029/93GL03113</a>, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation> Pinto, J. G., Zacharias, S., Fink, A. H., Leckebusch, G. C., and Ulbrich, U.: Factors contributing to the development of
extreme North Atlantic cyclones and their relationship with the NAO, Clim. Dynam., 32, 711–737, <a href="https://doi.org/10.1007/s00382-008-0396-4" target="_blank">https://doi.org/10.1007/s00382-008-0396-4</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation> Pirret, J. S. R., Knippertz, P., and Trzeciak, T. M.: Drivers for the deepening of severe European windstorms and their
impacts on forecast quality, Q. J. Roy. Meteor. Soc., 143, 309–320, <a href="https://doi.org/10.1002/qj.2923" target="_blank">https://doi.org/10.1002/qj.2923</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation> Ralph, F. M. and Dettinger, M. D.: Storms, floods, and the science of atmospheric rivers, Eos Trans. AGU, 92, 265, <a href="https://doi.org/10.1029/2011EO320001" target="_blank">https://doi.org/10.1029/2011EO320001</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation> Ralph, F. M., Neiman, P. J., and Wick, G. A.: Satellite and CALJET aircraft observations of atmospheric rivers over the
eastern North Pacific Ocean during the winter of 1997/98, Mon. Weather Rev., 132, 1721–1745, <a href="https://doi.org/10.1175/1520-0493(2004)132&lt;1721:SACAOO&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0493(2004)132&lt;1721:SACAOO&gt;2.0.CO;2</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation> Ramos, A. M., Trigo, R. M., Liberato, M. L. R., and Tome, R.: Daily precipitation extreme events in the Iberian Peninsula
and its association with Atmospheric Rivers, J. Hydrometeorol., 16, 579–597, <a href="https://doi.org/10.1175/JHM-D-14-0103.1" target="_blank">https://doi.org/10.1175/JHM-D-14-0103.1</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation> Ramos, A. M., Nieto, R., Tomé, R., Gimeno, L., Trigo, R. M., Liberato, M. L. R., and Lavers, D. A.: Atmospheric rivers
moisture sources from a Lagrangian perspective, Earth Syst. Dynam., 7, 371–384, <a href="https://doi.org/10.5194/esd-7-371-2016" target="_blank">https://doi.org/10.5194/esd-7-371-2016</a>, 2016a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation> Ramos, A. M., Tomé, R., Trigo, R. M., Liberato, M. L. R., and Pinto, J. G.: Projected changes in atmospheric rivers
affecting Europe in CMIP5 models, Geophys. Res. Lett., 43, 9315–9323, <a href="https://doi.org/10.1002/2016GL070634" target="_blank">https://doi.org/10.1002/2016GL070634</a>, 2016b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation> Sanders, F. and Gyakum, J. R.: Synoptic-dynamic climatology of the “bomb”, Mon. Weather Rev., 108, 1589–1606,
<a href="https://doi.org/10.1175/1520-0493(1980)108&lt;1589:SDCOT&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0493(1980)108&lt;1589:SDCOT&gt;2.0.CO;2</a>, 1980.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation> Shapiro, M. A., Wernli, H., Bao, J.-W., Methven, J., Zou, X., Neiman, P. J., Donall-Grell, E.,
Doyle, J. D., and Holt, T.:
A planetary-scale to mesoscale perspective of the life cycles of extratropical cyclones: The
bridge between theory and observations, in: The life cycles of extratropical cyclones, edited by: Grønås, S. and Shapiro, M.
A.,
139–185,
Amer. Met. Soc., Boston, USA, 1998.

</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation> Snyder, C. and Lindzen, R. S.: Quasi-geostrophic wave-CISK in an unbounded baroclinic shear, J. Atmos. Sci., 48, 78–88,
1991.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation> Trigo, I. F.: Climatology and interannual variability of storm-tracks in the Euro-Atlantic sector: a comparison between
ERA-40 and NCEP/NCAR reanalyses, Clim. Dynam., 26, 127–143, <a href="https://doi.org/10.1007/s00382-005-0065-9" target="_blank">https://doi.org/10.1007/s00382-005-0065-9</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation> Trigo, I. F., Davies, T. D., and Bigg, G. R.: Objective climatology of cyclones in the Mediterranean region, J. Climate,
12, 1685–1696, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation> Trigo, I. F., Bigg, G. R., and Davies, T. D.: Climatology of cyclogenesis mechanisms in the Mediterranean, Mon. Weather
Rev., 130, 549–569, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation> Tsou, C.-H., Smith, P. J., and Pauley, P. M.: A comparision of adiabatic and diabatic forcing in an intense extratropical
cyclone system, Mon. Weather Rev., 115, 763–786, <a href="https://doi.org/10.1175/1520-0493(1987)115&lt;0763:ACOAAD&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0493(1987)115&lt;0763:ACOAAD&gt;2.0.CO;2</a>, 1987.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation> Viale, M. and Nuñez, M. N.: Climatology of winter orographic precipitation over the subtropical Central Andes and
associated synoptic and regional characteristics, J. Hydrometeorol., 12, 481–507, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation> Wernli, H., Dirren, S., Liniger, M. A., and Zillig, M.: Dynamical aspects of the life-cycle of the winter storm “Lothar”
(24–26 December 1999), Q. J. Roy. Meteor. Soc., 128, 405–429, <a href="https://doi.org/10.1256/003590002321042036" target="_blank">https://doi.org/10.1256/003590002321042036</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>52</label><mixed-citation> Whitaker, J. S. and Davis, C. A.: Cyclogenesis in a saturated environment, J. Atmos. Sci., 51, 889–908, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>53</label><mixed-citation> Zhu, Y. and Newell, R. E.: Atmospheric rivers and bombs, Geophys. Res. Lett., 21, 1999–2002, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>54</label><mixed-citation> Zhu, Y. and Newell, R. E.: A proposed algorithm for moisture fluxes from atmospheric rivers, Mon. Weather Rev., 126,
725–735, 1998.
</mixed-citation></ref-html>--></article>
