<?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" dtd-version="3.0"><?xmltex \makeatother\@nolinetrue\makeatletter?>
  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">ANGEO</journal-id>
<journal-title-group>
<journal-title>Annales Geophysicae</journal-title>
<abbrev-journal-title abbrev-type="publisher">ANGEO</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Ann. Geophys.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1432-0576</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/angeo-33-1183-2015</article-id><title-group><article-title>Multi-year observations of gravity wave momentum
fluxes at low and middle latitudes inferred by all-sky meteor radar</article-title>
      </title-group><?xmltex \runningtitle{Multi-year observations of gravity wave momentum
fluxes}?><?xmltex \runningauthor{V.~F.~Andrioli et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Andrioli</surname><given-names>V. F.</given-names></name>
          <email>vania@laser.inpe.br</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Batista</surname><given-names>P. P.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-5448-5803</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Clemesha</surname><given-names>B. R.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Schuch</surname><given-names>N. J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Buriti</surname><given-names>R. A.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Instituto Nacional de Pesquisas Espaciais – INPE, São
José dos Campos, SP, Brazil</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Centro Regional Sul de Pesquisas Espaciais, Santa Maria,
RS, Brazil</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Universidade Federal de Campina Grande, Campina Grande,
PB, Brazil</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">V. F. Andrioli (vania@laser.inpe.br)</corresp></author-notes><pub-date><day>30</day><month>September</month><year>2015</year></pub-date>
      
      <volume>33</volume>
      <issue>9</issue>
      <fpage>1183</fpage><lpage>1193</lpage>
      <history>
        <date date-type="received"><day>8</day><month>December</month><year>2014</year></date>
           <date date-type="rev-recd"><day>26</day><month>August</month><year>2015</year></date>
           <date date-type="accepted"><day>9</day><month>September</month><year>2015</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015.html">This article is available from https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015.html</self-uri>
<self-uri xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015.pdf">The full text article is available as a PDF file from https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015.pdf</self-uri>


      <abstract>
    <p>We have applied a modified composite day analysis to the Hocking (2005)
technique to study gravity wave (GW) momentum fluxes in the mesosphere and
lower thermosphere (MLT). Wind measurements from almost continuous meteor
radar observations during June 2004–December 2008 over São João
do Cariri (Cariri; 7<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, 36<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), April 1999–November
2008 over Cachoeira Paulista (CP;  23<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, 45<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), and
February 2005–December 2009 over Santa Maria (SM; 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S,
54<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) were used to estimate the GW momentum fluxes and variances
in the MLT region. Our analysis can provide monthly mean altitude profiles
of vertical fluxes of horizontal momentum for short-period (less than 2–3 h) GWs. The averages for each month throughout the entire data series have
shown different behavior for the momentum fluxes depending on latitude and
component. The meridional component has almost the same behavior at the
three sites, being positive (northward), for most part of the year. On the
other hand, the zonal component shows different behavior at each location:
it is positive for almost half the year at Cariri and SM but predominantly
negative over CP. Annual variation in the GW momentum fluxes is present at
all sites in the zonal component and also in SM at 89 km in the meridional
component. The seasonal analysis has also shown a 4-month oscillation at
92.5 km over SM in the zonal component and over CP at the same altitudes but
for the meridional component.</p>
  </abstract>
      <kwd-group>
        <kwd>Meteorology and atmospheric dynamics (middle atmosphere dynamics)</kwd>
      </kwd-group>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p><?xmltex \hack{\vspace{-3mm}}?>It is widely accepted that atmospheric gravity waves (GWs) are responsible
for the energy and momentum transport from the lower to the upper
atmosphere. Additionally, the deposition of this energy and momentum by
wave breaking plays a crucial role in the dynamics and energy balance of the
mesosphere and lower thermosphere (MLT) region. In this context the Hocking (2005) technique has helped in making plenty of data sites around
the world available, leading to a better understanding of the morphology of global
gravity wave-induced momentum fluxes. This is because the technique makes it
possible to infer the components of momentum flux and wind variance from
all-sky meteor radar data and, according to Hocking (2005) at the time of
writing, there were almost 30 such radars distributed worldwide.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Monthly mean vertical profiles of GW momentum fluxes from 2004
(top) to 2008 (bottom): zonal (left) and meridional (right) components. Each
contour corresponds to 5 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; the white
areas represent positive values and grey the negative. Dashed lines show
where the values are zero. These panels represent the results for Cariri
from 2004 to 2008.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f01.pdf"/>

      </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F2" specific-use="star"><caption><p>The same as Fig. 1 but for Cachoeira Paulista from 1999 to
2008.</p></caption>
        <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f02.pdf"/>

      </fig>

      <p>In recent years the results of a number of studies have been published using
the Hocking technique, e.g., Antonita et al. (2008), Fritts et al. (2010, 2012a, b.), Placke et al. (2011a, b), Andrioli et al. (2013a, b) and de Wit et al. (2014a, b). Andrioli et al. (2013a) described a method for using the
technique in composite days with the purpose of maximizing the number of
available meteor echoes and thus allowing the investigation of momentum
fluxes using simple meteor radars with improved accuracy and with no
contamination by tides and planetary waves. Although this method does not
allow momentum fluxes with high time resolution to be inferred, we can at least
investigate the monthly mean and the seasonal variation in the fluxes
without tide and planetary wave contamination. We have used data from three
VHF all-sky interferometric meteor radars ranging from low to middle latitudes over the
Brazilian sector of the Southern Hemisphere. In an earlier paper, Clemesha
et al. (2009) analyzed wind variances in this region but with only 1 year
of data. In this paper we extend the analysis over all available data as
well as studying not only wind variances but also momentum fluxes.
<?xmltex \hack{\vspace{-5mm}}?></p>
</sec>
<sec id="Ch1.S2">
  <title>Methods</title>
      <p>According to Andrioli et al. (2013a) it is possible to infer the GW momentum
fluxes and variances with a good accuracy using simple all-sky meteor radar
data. We do this by using a modified composite day (MCD) method applied to
the Hocking (2005) analysis. We have applied MCD analysis to the meteor
radar data from three sites located at São João do Cariri (Cariri; 7<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, 36<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), Cachoeira Paulista (CP; 23<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, 45<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) and Santa Maria (SM; 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, 54<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W).
The data were analyzed using height intervals of 4 km with a 3 km
displacement between adjacent intervals (centered on 82, 85.5, 89, 92.5 and
96 km), a 3 h time interval with a 2 h displacement (centered at 01:00, 03:00, 05:00,
07:00, 09:00, 11:00, 13:00, 15:00, 17:00, 19:00, 21:00 and 23:00 UT), and zenith angles between 15 and
50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The latter constraint avoids large spurious contributions to
apparent GW variances due to large vertical velocities at small zenith
angles and range errors due to zenith angle uncertainties at low elevation
angles. This analysis allows us to study GWs with periods less than
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3 h, vertical wavelengths less than <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5–10 km, and horizontal wavelength less than <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 180 km.
Additional details of the method can be found in Andrioli et al. (2013a).</p>
      <p>Our analysis employs all available data for each of the meteor radars:
Cariri from 2004 to 2008, CP from 1999 to 2008 and SM from 2005 to 2009. The
figures showing these data series with data gaps are shown in Andrioli et al. (2013b) (Figs. 1, 2, and 3 for Cariri, CP, and SM, respectively). We
can see from those figures that there are approximately 4, 9, and 5
years of data for Cariri, CP, and SM, respectively. Besides seasonal
analysis, we also averaged all these data in order to get a pattern of
behavior for the momentum fluxes over each location. The results presented
in the following represent vertical profiles of monthly means both for
variances and for moment flux.<?xmltex \hack{\vspace{-3mm}}?></p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>The same as Fig. 1 but for Santa Maria from February 2005 to
2009.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f03.pdf"/>

      </fig>

</sec>
<sec id="Ch1.S3">
  <title>Results</title>
      <p>Figure 1 shows the components of the monthly mean vertical profiles of the
GW momentum fluxes over Cariri. The panels shown on the left side of this
figure correspond to the zonal component (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula>), and those on the right to the
meridional (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>v</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula>). According to the tests presented by Andrioli et al. (2013a),
we can expect better reliability in the results from 87 to 94.4 km altitude
layers, centered on 89 and 92.5 km, where the meteor counts are larger. We
have highlighted this region with a red rectangle in all figures. For the
momentum fluxes, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>v</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula>, positive (white) values characterize vertical
transport of eastward- and northward-directed momentum and negative values
(grey) characterize westward- and southward-directed momentum. Observing
mainly this region we can see some similarities and some differences in the
GW momentum fluxes from one year to another. In the meridional component,
we can see that the momentum fluxes diminish with increasing altitudes for
almost all years, with the exception of 2005, around August, and 2004 and
2008, around November. A common positive flux (eastward) behavior can be
observed in the zonal component around wintertime at higher altitudes in
most years. In the zonal component we can also observe strong gradients
during June 2004, July 2004, August 2005, July 2007 and August 2007. In view of the magnitude
of these gradients, the data for these periods were double-checked and we
found that the radar system did not work well on some days in these months.
In view of this fact we decided to treat the data points for June 2004, July
2005, August 2005, July 2007 and August 2007 as outliers, excluding them
from our analysis.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Monthly mean zonal momentum fluxes for the two height layers
where the meteor counting rates are largest, at each site. The top panels
show the results for São João do Cariri (Cariri, low latitude), the
center panels are for Cachoeira Paulista (CP, middle–low latitude), and the
bottom are for Santa Maria (SM, middle latitude). Error bars denote the
standard deviation.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f04.pdf"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>The same as Fig. 4 but for monthly mean meridional momentum
fluxes.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f05.pdf"/>

      </fig>

      <p>The monthly mean vertical profiles of the GW momentum fluxes over Cachoeira
Paulista are shown in Fig. 2. Concentrating on the altitude intervals with
high accuracy, from 87 to 94.4 km, we can observe that the values for the
zonal components of the momentum fluxes range from <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25  to 20 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, whereas they
range from <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10  to 20 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the meridional component. We can observe that, from
2000 to 2003, the zonal momentum flux changes direction at around 90 km from
January to April, being eastward (positive) below this altitude. The
eastward direction can also be observed around the Southern Hemisphere
wintertime for most years, around 91 km. The meridional component shows
more year-to-year variability than the zonal, though being positive for most
of the year. Moreover, with the exception of 2002, all years show
an increase in the meridional momentum fluxes with altitude above 88 km
around winter.</p>
      <p>In Fig. 3 we show the momentum fluxes over Santa Maria from February 2005
to December 2009. From this figure we can clearly see a vertical gradient in
the zonal component from January to April and from September to December, in
most years, with changes in direction from positive to negative with
increasing altitude. On the other hand, the vertical flux of meridional
momentum is northward during most of the year and shows a positive gradient
with altitude around winter for almost all periods of observation. In
addition the absolute values are similar to those observed in CP and Cariri.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Averaged momentum fluxes throughout the entire available data
series. Mean behavior of the vertical flux of horizontal momentum: zonal
(left) and meridional (right) components. Each contour corresponds to 5 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The white areas represent positive
values and grey the negative. The top panels are the results for São
João do Cariri (Cariri, low latitude), the center panels are for
Cachoeira Paulista (CP, mid-low latitude), and the bottom are for Santa
Maria (SM, middle latitude).</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f06.pdf"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>Averaged wind throughout the entire available data series for
each site: zonal (left) and meridional (right) components. Grey means
negative values and white positive. Positive values for the zonal
(meridional) component correspond to eastward (northward) direction.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f07.pdf"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p>Averaged GW variances throughout the entire available data
series: zonal (left) and meridional (right) components. Each contour
corresponds to 25 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The top panels are
the results for São João do Cariri (Cariri, low latitude), the
center panels are the results for Cachoeira Paulista (CP, mid–low latitude),
and the bottom panels are the results for Santa Maria (SM, middle latitude).</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f08.pdf"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><caption><p>Lomb–Scargle spectral analysis of zonal component of GW variance
over São João do Cariri (top), Cachoeira Paulista
(middle), and Santa Maria (bottom). The horizontal straight green lines show
the 90 % confidence levels. For all stations the solid black line
represents the height-averaged profile, the solid yellow line 82 km, the cyan dotted line 85.5 km, the blue dashed line 89 km, red dash-dot line 92.5 km, and the orange
dash-dot line 96 km.</p></caption>
        <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f09.pdf"/>

      </fig>

      <p>In order to distinguish possible intra-annual patterns, monthly mean
momentum fluxes for all years are displayed together, in Figs. 4 and 5,
for zonal and meridional components, respectively, at the two layers where
the meteor rates are largest. From these figures we can see large standard
deviations, at CP and Cariri mainly in the zonal component, showing that
values are more spread from one year to another at these sites. Despite
this, it is possible to notice a seasonal cycle at Cariri and CP with a
tendency for a more eastward-directed vertical flux of zonal momentum around
wintertime, and a more westward-directed flux around summertime at both 89
and 92.5 km. In the same component but for SM, we can observe a tendency for
positive values around March and September at 89 km. In contrast, a tendency
for negative values can be observed at 92.5 km, around March and October. On
the other hand, in Fig. 5, the <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>v</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula> component shows a semiannual oscillation
at SM at 92.5 km, with positive maxima around the equinoxes, and an annual
oscillation at 89 km with the tendency for more positive values from June to
October. In addition, a tendency for more oscillatory behavior can be
observed over Cariri and CP. This seasonal behavior will be discussed in
more detail in Sect. 3.1.</p>
      <p>With the aim of verifying any possible relationship between momentum fluxes
measured at different stations, we have made a zero-lag 2-D cross-correlation
analysis of the simultaneous observations at the three sites for all
altitude levels: 85.5, 89, 92.5 and 96 km. The correlation between CP and SM
was found to be 0.58 (zonal) and 0.49 (meridional), statistically
significant with <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn>0.001</mml:mn></mml:mrow></mml:math></inline-formula>, for 112 data pairs. On the other hand,
correlation coefficients between Cariri and SM or between Cariri and CP were
statistically significant for neither zonal nor meridional components. These
correlations suggest that fluxes measured at low latitudes are almost
independent of those measured at middle latitudes.</p>
      <p>In order to see any possible pattern of behavior of the momentum fluxes,
winds and variances common to all years, we averaged these parameters over
the entire available data set for each measurement site, and the results are
shown in Figs. 6, 7 and 8, respectively. For the momentum fluxes, Fig. 6, we focus the analysis on the altitudes from 87 to 94.4 km, highlighted
with a red rectangle. We can see from the right panel of this figure that
the vertical transport of the meridional momentum is primarily northward
throughout the year at higher latitudes, CP and SM. The flux is southward in
fewer months: April (for all altitudes) and February, July and December (at
89 km) for CP, and from January to March and in November and December (below 92 km) at SM. In contrast, Cariri shows no predominantly north or south direction;
instead of this it presents a tendency for more southward momentum fluxes in
some regions above <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 92 km from January to March, above 90 km around
May, and for almost all altitudes from August to October. Concerning
latitudinal comparison we clearly see that the meridional momentum flux has a
different altitude behavior. At Cariri it is in general decreasing in
altitude, but the opposite is seen for CP and SM.</p>
      <p>Analyzing the zonal component of momentum flux, shown in the left panel of
Fig. 6, we also can see similarities between patterns observed at CP and
SM. For both these sites zonal momentum diminishes with increasing altitude
around summer, from November to March. On the other hand, at Cariri the
vertical flux of the zonal momentum is westward from January to March, in
July and from September to December at lower altitudes, and in November. At
CP the vertical flux of zonal momentum is positive (eastward) only from May
to July, around 90 km.</p>
      <p>In Fig. 8, the average GW variances through the entire available
data series are shown. Panels on the left and right side correspond to the zonal and
meridional components, respectively. Each contour corresponds to 25 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The top panels are the results for
Cariri, the center panels are for CP, and the bottom are for SM. We can
observe that the meridional component is larger than the zonal. The values
of the zonal component increase with increasing altitude for almost all
sites throughout almost the entire year, except from May to July around 85 km altitude at CP and SM. However, we can observe maximum values
from 85 to 94 km at all sites for the meridional component. Moreover, there
is a clear semiannual periodicity with maximum values around the equinoxes
at CP less intense at SM (see also Figure 10 and the discussion based on
this figure in Sect. 3.1).</p>
<sec id="Ch1.S3.SSx1" specific-use="unnumbered">
  <title>Seasonal analysis of GW activity</title>
      <p>In order to investigate the seasonal behavior of the variances and momentum
fluxes, we have applied a Lomb–Scargle (Scargle, 1982) periodogram analysis
to the monthly mean vertical profiles of the variances, Figs. 9 and 10,
and the momentum fluxes, Figs. 11 and 12, in their zonal and meridional
components, respectively</p>
      <p>Figures. 9 and 10 show the spectral analysis for GW variances in their zonal
(Fig. 9) and meridional (Fig. 10) components over the three stations. The top
of each figure shows the spectral analysis for Cariri, the middle panels
correspond to CP and the ones on the bottom are from SM. In each of these
groups the solid black line shows the analysis made using the height-averaged
profile. The solid yellow line indicates 82 km, the cyan dotted line
85.5 km, the blue dashed line 89 km, the red dash-dot line 92.5 km, and
the orange dash-dot line 96 km. The zonal component of the variance shows a
6-month periodicity with 90 % significance for CP at almost all
altitudes; however, it does not reach the confidence level for the height-averaged profile. This is applied equally to Cariri and SM for some of the
altitudes. We can see from the power spectra that the peak of the 6-month
oscillation decreases its amplitude as the altitude increases at all sites.
This semiannual oscillation is also seen in the meridional component,
Fig. 10, at all altitudes for SM and CP but only below 85.5 km at Cariri.
Annual oscillation is seen at CP and SM for both variance components at
almost all altitudes. The meridional component does not show statistically
significant periodicity in the height-averaged profile over Cariri.</p>
      <p>Figures 11 and 12 show the spectral analysis of the zonal and meridional
components, respectively, of the momentum fluxes over the three stations. In
this case, the analysis has been done only for the altitudes where we have
more reliability – that is, 89 km (blue dashed line) and 92.5 km (red dash-dot
line). The analysis over the height-averaged series of <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula>, Fig. 11, shows an annual variation reaching the 90 %
confidence level over Cariri and CP; however, in SM only 4- and 12-month oscillations can be seen at 92.5 km. Also, we can see that the amplitude of
the annual oscillation increases with height for both Cariri and CP.</p>
      <p>The meridional component, Fig. 12, shows an annual oscillation over SM at
89 km altitude. It also shows a 4-month oscillation over CP, reaching the
90 % significance level at 92.5 km. The emergence of a terannual
oscillation is surprising because there has been no earlier report of this
oscillation in the GW momentum flux seasonal analysis. Nonetheless, there
are some studies reporting this oscillation in other parameters related to
dynamics in the MLT region, such as the mean wind and tides (Iimura et al.,
2010), kinetic energy dissipation rates (Hall et al., 2003) and nighttime
airglow emissions (Fukuyama, 1977).</p>
      <p>Harmonic analysis (not shown in this paper) indicates that annual oscillation
of the <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula> component has a maximum around June at all the three sites. The 4-month
oscillation seen in the <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>v</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula> component has a maxima
in February, June and October at CP. Comparing the results from variances
with those from momentum fluxes, we can see the same seasonal behavior,
showing annual oscillation, only at 89 km for SM with respect to the
meridional variance and momentum flux. On the other hand, it should be
remembered that the GWs that most contribute to the momentum fluxes are the
high-frequency GW, whereas for variances (energy transport) the low-frequency
GWs are most important (see Fritts and Alexander, 2003, for more details).</p><?xmltex \hack{\vspace{-3mm}}?>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p>According to Lindzen (1981), GWs encounter a critical level when the
background wind approaches the phase speed of the wave. Owing to the small
horizontal phase speeds of GWs, which is of the order of the background mean
flow, GWs are very sensitive to background wind filtering in the middle
atmosphere (Placke et al. 2011a). In general a GW can propagate only against
the wind; otherwise it would have encountered a critical level in the
mesosphere. If eastward wind is prevailing, only westward-propagating GWs with
negative zonal momentum fluxes can move vertically, and vice versa. From the
right panels of Fig. 6 we can observe that northward-directed vertical
momentum flux occurs mainly where southward meridional wind (right panels of
Fig. 7) is prevailing around winter. This shows the coupling between
background winds and momentum fluxes.</p>
      <p>Coupling between zonal momentum fluxes and background wind can be analyzed
by comparing the results shown in the left panels of Fig. 6 with those
shown in Fig. 7. We can clearly see at SM, from May to August, that the
zonal wind and GW <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula> are in opposite directions, allowing vertical propagation
for GW. It should be pointed out that the wind reversal observed over SM,
from April to September around 95 km, could also be due to other wave
interactions or even to GW breaking, but with frequencies different to those
observed in our analysis. Inspecting CP and SM from January to April, and
November to December below 88.5 km, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula> is positive and diminishes with
increasing altitude, and as a consequence of a moment transfer to the mean
flow, an eastward acceleration can be observed in the zonal wind. On the
other hand, the meridional wind (right-hand side of Fig. 7) is negative from
May to August at the three sites, and the <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>v</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula> (right-hand side of Fig. 6) is
generally positive in this period below 90 km, indicating that the
conditions for GW vertical propagation are allowable around winter. In other
words, GW propagating in a north–south direction can reach higher altitudes
during the wintertime for all three sites.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><caption><p>The same as Fig. 9 but for the meridional variance component.</p></caption>
        <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f10.pdf"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><caption><p>Lomb–Scargle spectral analysis of zonal component of GW momentum
fluxes over São João do Cariri (top), Cachoeira Paulista
(middle), and Santa Maria (bottom). The horizontal green straight lines
show the 90 % confidence levels. In all stations the solid black line
represents the height-average profile, the blue dashed line corresponds to 89 km
altitude and the red dash-dot line corresponds to 92.5 km altitude.</p></caption>
        <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f11.pdf"/>

      </fig>

      <p>According to Sato et al. (2009, 2011) in their gravity-wave-resolving general
circulation model, an annual variation in the zonal momentum fluxes can be
observed at 0.1 hPa (a height of about 64 km) for the same latitudes as
Cariri, CP and SM. Moreover, the flux is positive for the summertime and the
wind is negative, leading to a condition favorable for upward gravity wave
propagation at latitudes around 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S. Comparing this to the
left-hand side of Fig. 6, we can see positive values of zonal flux around
summer at lower altitudes for both CP and SM, agreeing with their results.
Moreover, both sites show an annual behavior agreeing with the models results
for the mesosphere.</p>
      <p>Fukuyama (1977), in his statistical study on night airglow emissions around
the mesopause region, found fluctuations of 12-, 6- and 4-month periods. A
study of seasonal GW activity over the three Brazilian meteor radar sites
was also made by Clemesha et al. (2009). In their work they analyzed the
fluctuating wind velocities related to GW and observed a semiannual
oscillation (SAO) in the meridional wind component over CP and SM, agreeing
with our results for the variances (Fig. 10). Antonita et al. (2008), also
using Hocking's analysis, found a SAO for the GW momentum fluxes with
maxima at the equinoxes, over Trivandrum (8.5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
76.9<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E). In the present study, no statically significant SAO
in momentum fluxes has been observed. Mitchell and Beldon (2009) observed a
SAO with maxima at the solstices at Rothera (68<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, 68<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) and Beldon and Mitchell (2009) observed the same behavior for Esrange
(68<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) for the fluctuating radial velocities. Senft and Gardner
(1991) observed annual and SAO in GW activity at Urbana (40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
88<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) using Na lidar data to infer atmospheric density
perturbations and their spectra. These results are similar to those found by
us for middle latitudes, corresponding to SM and CP, the latter mainly in the
meridional component of the variances. Placke et al. (2011b) in their
analysis of GW activity over Andenes (69.3<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 16<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E)
and Juliusruh (54.6<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 13.4<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) report SAO with maxima
around the solstice. As stated earlier, annual and semiannual oscillations
in GW activity are anticipated and have been documented in earlier work
(e.g., Antonita et al.,2008; Clemesha et al., 2009; Mitchell and Beldon, 2009; Beldon and Mitchell, 2009; Senft and Gardner, 1991; Placke et al., 2011b; De Wit et al., 2014b; and references therein); however, this
appears to be the first report of a 4-month oscillation in GW momentum
fluxes.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12"><caption><p>The same as Fig. 11 but for the meridional momentum flux
component.</p></caption>
        <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://angeo.copernicus.org/articles/33/1183/2015/angeo-33-1183-2015-f12.pdf"/>

      </fig>

      <p>Although what appear to be real terannual oscillations have been reported by
some other authors in several dynamical parameters in the MLT region
(Fukuyama, 1977; Hall et al., 2003; Iimura et al., 2010), no plausible
mechanism for driving atmospheric dynamics with a 4-month period has been
suggested. Nevertheless, Yuan et al. (2010) reported a 4-month oscillation
in their seasonal analysis of NmF2 ionosonde data from 33 stations at three
different longitudes from 1969 to 1986. They also found a good phase match
between annual and semiannual oscillations as well as for the terannual
oscillation; on this basis they concluded that the terannual oscillation
could be the response to a nonlinear interaction between annual and
semiannual oscillations. Nevertheless, this is not applicable to our analysis
since there are no occurrences of both semiannual and annual oscillations
simultaneously for momentum fluxes, neither for CP nor for SM.
<?xmltex \hack{\vspace{-3mm}}?></p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Summary</title>
      <p>In this work we present a seasonal analysis of GW momentum fluxes and
variances at different latitudes in the MLT region obtained by meteor radar
observations at 7, 23 and 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S.
Analysis of variability in the <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula> component showed a 12-month oscillation with
maximum positive flux in June over the three latitudes analyzed, and a 4-month oscillation at 92.5 km over SM. On the other hand, the <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:msup><mml:mi>v</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mi mathvariant="italic">&gt;</mml:mi></mml:mrow></mml:math></inline-formula> component
showed a 4-month oscillation at 92.5 km over CP with maximum positive fluxes
in February, June and October, and an annual oscillation at 89 km over SM with
maximum positive fluxes around winter. Seasonal analyses of the GW variances
have also revealed an annual oscillation present at CP and SM for almost all
altitudes in both components and a semiannual oscillation, mainly in the
meridional component at CP and SM, and of the zonal component at the three
sites at certain altitudes. These annual and semiannual oscillations in the
GW activity have been reported by several other authors at different
latitudes and different altitudes. However, more studies are
necessary to explain the 4-month oscillations observed over these sites.</p>
      <p>Experimental results on the latitudinal dependence of GW momentum fluxes at
low latitudes with ground-based instruments in the MLT region have not been
reported up to now. Worldwide measurements of these parameters are important
for the improvement of our understanding of the atmosphere and will help in
the testing of future general circulation models.</p>
</sec>

      
      </body>
    <back><ack><title>Acknowledgements</title><p>V. F. Andrioli would like to acknowledge the FAPESP (process number
2012/08769-9) for supporting this work. The authors acknowledge Dave Fritts
for helpful discussions about the methodology.<?xmltex \hack{\newline}?><?xmltex \hack{\hspace*{4mm}}?> The topical editor A. J. Kavanagh thanks the two anonymous referees for help in evaluating this paper.</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>Andrioli, V. F., Fritts, D. C., Batista, P. P., and Clemesha, B. R.: Improved
analysis of all-sky meteor radar measurements of gravity wave variances and
momentum fluxes, Ann. Geophys., 31, 889–908, <ext-link xlink:href="http://dx.doi.org/10.5194/angeo-31-889-2013" ext-link-type="DOI">10.5194/angeo-31-889-2013</ext-link>,
2013a.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>Andrioli, V. F., Fritts, D. C., Batista, P. P., Clemesha, B. R., and Janches,
D.: Diurnal variation in gravity wave activity at low and middle latitudes,
Ann. Geophys., 31, 2123–2135, <ext-link xlink:href="http://dx.doi.org/10.5194/angeo-31-2123-2013" ext-link-type="DOI">10.5194/angeo-31-2123-2013</ext-link>, 2013b.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>Antonita, T. M.,  Ramkumar, G.,   Kumar,  K. K., and   Deepa, V.: Meteor wind
radar observations of gravity wave momentum fluxes and their forcing toward
the Mesospheric Semiannual Oscillation,  J. Geophs. Res.,
113, D10115, <ext-link xlink:href="http://dx.doi.org/10.1029/2007JD009089" ext-link-type="DOI">10.1029/2007JD009089</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>Beldon, C. L. and  Mitchell,  N. J.: Gravity waves in the mesopause
region observed by meteor radar, 2: Climatologies of gravity waves in the
Antarctic and Arctic, J. Atmos. Sol.-Terr. Phy., 71, 875–884, <ext-link xlink:href="http://dx.doi.org/10.1016/j.jastp.2009.03.009" ext-link-type="DOI">10.1016/j.jastp.2009.03.009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>Clemesha, B. R., Batista, P. P., Buriti da Costa, R. A., and Schuch, N.: Seasonal
variations in gravity wave activity at three locations in Brazil, Ann. Geophys., 27, 1059–1065, <ext-link xlink:href="http://dx.doi.org/10.5194/angeo-27-1059-2009" ext-link-type="DOI">10.5194/angeo-27-1059-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>de Wit, R. J.,  Hibbins, R. E.,   Espy,  P. J.,   Orsolini, Y. J.,   Limpasuvan, V.,  and
Kinnison,  D. E.:  Observations of gravity wave forcing of the mesopause
region during the January 2013 major Sudden Stratospheric Warming, Geophys. Res. Lett.,
41, 4745–4752, <ext-link xlink:href="http://dx.doi.org/10.1002/2014GL060501" ext-link-type="DOI">10.1002/2014GL060501</ext-link>, 2014a.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>de Wit, R. J.,   Hibbins,  R. E.,  and   Espy, P. J.: The seasonal cycle of
gravity wave momentum flux and forcing in the high latitude northern
hemisphere mesopause region, J. Atmos. Sol.-Terr. Phy., 127, 21–29, <ext-link xlink:href="http://dx.doi.org/10.1016/j.jastp.2014.10.002" ext-link-type="DOI">10.1016/j.jastp.2014.10.002</ext-link>, 2014b.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>Fritts, D. and   Alexander, M. J.: Gravity wave dynamics and effects in
the middle atmosphere,  Rev. Geophys., 41,    1003, <ext-link xlink:href="http://dx.doi.org/10.1029/2001RG000106" ext-link-type="DOI">10.1029/2001RG000106</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>Fritts, D. C.,  Janches,  D.,   and    Hocking, W. K.: Southern Argentina Agile
Meteor Radar: Initial assessment of gravity wave momentum fluxes, J. Geophys. Res.,
115, D19123, <ext-link xlink:href="http://dx.doi.org/10.1029/2010JD013891" ext-link-type="DOI">10.1029/2010JD013891</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>Fritts, D. C.,  Janches, D.,   Hocking, W. K.,   Bageston, J. V., and   Leme, N. M.
P.: Drake Antarctic Agile Meteor Radar (DrAAMER) First Results:
Configuration and Comparison of Mean and Tidal Wind and Gravity Wave
Momentum Flux Measurements with SAAMER, J. Geophs. Res., 117, D02105, <ext-link xlink:href="http://dx.doi.org/10.1029/2011JD016651" ext-link-type="DOI">10.1029/2011JD016651</ext-link>, 2012a.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>Fritts, D. C.,   Janches, D.,  Hocking, W. K.,   Mitchell, N. J.,  and   Taylor, M.
J.:   Assessment of gravity wave momentum flux measurement capabilities by
meteor radars having different transmitter power and antenna configurations.
J. Geophys. Res., 117,  D10108, <ext-link xlink:href="http://dx.doi.org/10.1029/2011JD017174" ext-link-type="DOI">10.1029/2011JD017174</ext-link>, 2012b.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>
Fukuyama, K.: Airglow variations and dynamics in the lower
thermosphere and upper mesosphere – II. Seasonal and long-term variations,
J. Atmos. Sol.-Terr. Phy., 39,  1–14, 1977.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Hall, C. M., Nozawa, S., Meek, C. E., Manson, A. H., and Luo, Y.: Periodicities in
energy dissipation rates in the auroral mesosphere/lower thermosphere, Ann. Geophys., 21, 787–796, <ext-link xlink:href="http://dx.doi.org/10.5194/angeo-21-787-2003" ext-link-type="DOI">10.5194/angeo-21-787-2003</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>Hocking, W. K.: A new approach to momentum flux determinations using SKiYMET meteor radars, Ann. Geophys., 23, 2433–2439, <ext-link xlink:href="http://dx.doi.org/10.5194/angeo-23-2433-2005" ext-link-type="DOI">10.5194/angeo-23-2433-2005</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>Iimura, H.,   Fritts,  D. C.,  and   Riggin, D. M.: Long-term oscillations of
the wind field in the tropical mesosphere and lower thermosphere from Hawaii
MF radar measurements, J. Geophys. Res.-Atmos., 115, D09112, <ext-link xlink:href="http://dx.doi.org/10.1029/2009JD012509" ext-link-type="DOI">10.1029/2009JD012509</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>Lindzen, R. S.: Turbulence and stress owing to gravity wave and tidal
breakdown, J. Geophs. Res., 86, 9707–9714, 1981. </mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>Mitchell, N. J. and   Beldon, C. L.: Gravity waves in the mesopause
region observed by meteor radar: 1. A simple measurement technique,  J. Atmos. Sol.-Terr. Phy.,
71, 866–874, <ext-link xlink:href="http://dx.doi.org/10.1016/j.jastp.2009.03.011" ext-link-type="DOI">10.1016/j.jastp.2009.03.011</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>Placke, M.,  Stober,  G.,   and   Jacobi, C.: Gravity wave momentum fluxes in
the MLT – Part I: Seasonal variation at Collm (51.31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
13.01<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E),  J. Atmos. Sol.-Terr. Phy., 73, 904–910,
<ext-link xlink:href="http://dx.doi.org/10.1016/j.jastp.2010.07.012" ext-link-type="DOI">10.1016/j.jastp.2010.07.012</ext-link>, 2011a.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>Placke, M.,   Hoffmann, P.,  Becker, E.,  Jacobi, C.,   Singer, W.,  and   Rapp,
M.: Gravity wave momentum fluxes in the MLT – Part II: Meteor radar
investigations at high and midlatitudes in comparison with modeling studies,
J. Atmos. Sol.-Terr. Phy., 73, 911–920,  <ext-link xlink:href="http://dx.doi.org/10.1016/j.jastp.2010.05.007" ext-link-type="DOI">10.1016/j.jastp.2010.05.007</ext-link>, 2011b.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>Sato, K.,  Watanabe,  S.,   Kawatani,  Y.,  Tomikawa,  Y.,  Miyazaki,  K.,  and
Takahashi,  M.: On the origins of mesospheric gravity waves, Geophs. Res. Lett.,
36, L19801, <ext-link xlink:href="http://dx.doi.org/10.1029/2009GL039908" ext-link-type="DOI">10.1029/2009GL039908</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>
Sato, K.,  Tateno, S.,  Watanabe, S.,  and   Kawatani, Y.: Gravity Wave
Characteristics in the Southern Hemisphere Revealed by a High-Resolution
Middle-Atmosphere General Circulation Model, J. Atmos. Sci., 69, 1378–1396,. 2011.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>
Scargle, J. D.: Studies in astronomical time series analysis. II –
Statistical aspects of spectral analysis of unevenly spaced data,
Astrophys. J., Part 1, 263, 835–853, 1982.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>
Senft, D. C. and   Gardner,  C. S.: Seasonal variability of gravity wave
activity and spectra in the mesopause region at Urbana, J. Geophys. Res., 96,
17229–17264, 1991.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>
Yuan, W.,   Xu,  J.,  Ma,  R.,  Wu,  Q.,  Jiang, G.,   Gao, H.,  Liu,  X.,  and  Chen,  S.:
First observation of mesospheric and thermospheric winds by a Fabry-Perot
interferometer in China, Chinese Sci. Bull., 55, 4046-4051,
2010.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    </article>
