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  <front>
    <journal-meta><journal-id journal-id-type="publisher">NHESS</journal-id><journal-title-group>
    <journal-title>Natural Hazards and Earth System Sciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">NHESS</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Nat. Hazards Earth Syst. Sci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1684-9981</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/nhess-18-419-2018</article-id><title-group><article-title>Brief Communication: Synoptic-scale differences <?xmltex \hack{\break}?> between Sundowner and Santa Ana wind regimes <?xmltex \hack{\break}?> in the Santa Ynez Mountains, California</article-title><alt-title>Synoptic-scale differences between Sundowner and Santa Ana winds</alt-title>
      </title-group><?xmltex \runningtitle{Synoptic-scale differences between Sundowner and Santa Ana winds}?><?xmltex \runningauthor{B.~J.~Hatchett et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Hatchett</surname><given-names>Benjamin J.</given-names></name>
          <email>benjamin.hatchett@gmail.com</email>
        <ext-link>https://orcid.org/0000-0003-1066-3601</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Smith</surname><given-names>Craig M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Nauslar</surname><given-names>Nicholas J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kaplan</surname><given-names>Michael L.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Division of Atmospheric Science, Desert Research Institute, Reno, Nevada, 89512, USA</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma, 73072, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>NOAA/NWS/NCEP Storm Prediction Center, Norman, Oklahoma, 73072, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Benjamin J. Hatchett (benjamin.hatchett@gmail.com)</corresp></author-notes><pub-date><day>6</day><month>February</month><year>2018</year></pub-date>
      
      <volume>18</volume>
      <issue>2</issue>
      <fpage>419</fpage><lpage>427</lpage>
      <history>
        <date date-type="received"><day>20</day><month>July</month><year>2017</year></date>
           <date date-type="rev-request"><day>24</day><month>July</month><year>2017</year></date>
           <date date-type="rev-recd"><day>9</day><month>November</month><year>2017</year></date>
           <date date-type="accepted"><day>1</day><month>January</month><year>2018</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2018 </copyright-statement>
        <copyright-year>2018</copyright-year>
      <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://nhess.copernicus.org/articles/.html">This article is available from https://nhess.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://nhess.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e125">Downslope Sundowner winds in southern California's
Santa Ynez Mountains favor wildfire growth. To explore differences between
Sundowners and Santa Ana winds (SAWs), we use surface observations from 1979 to 2014
to develop a climatology of extreme Sundowner days. The
climatology was compared to an existing SAW index from 1979 to 2012.
Sundowner (SAW) occurrence peaks in late spring (winter). SAWs demonstrate
amplified 500 hPa geopotential heights over western North America and
anomalous positive inland mean sea-level pressures. Sundowner-only
conditions display zonal 500 hPa flow and negative inland sea-level pressure
anomalies. A low-level northerly coastal jet is present during Sundowners
but not SAWs.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e135">The combination of episodic low relative humidity and strong winds, complex
terrain, and fuel conditions (e.g., load, moisture, and continuity) coupled
with extensive wildland–urban interfaces (WUI) in southern California
produces significant wildfire hazards with frequent large, severe, and
costly fires (Westerling et al., 2004). In the semiarid steep lands of the
Santa Ynez mountains and other parts of the Transverse Ranges of southern California
(Fig. 1a), fire represents a critical component of shrubland-dominant
ecosystems (Moritz, 2003). The Mediterranean climate promotes
the accumulation of fine fuel during mild wet winters that dry during extended
warm and dry summers. In this region, humans are the primary source of
ignitions (Balch et al., 2017), with notable Santa Ynez fires (Fig. 1a)
resulting from accidental ignitions to arson.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><label>Figure 1</label><caption><p id="d1e140"><bold>(a)</bold> Map of the study area. Notable fire perimeters with impact
on urban communities and agricultural operations are colored. The Santa Barbara
Airport (KSBA) weather station was used to estimate temperature ramps produced
by Sundowner wind events and the Montecito RAWs were used to evaluate winds
during Sundowner conditions. <bold>(b, c)</bold> Examples of two characteristic
temperature increases (temperature ramps) that occur outside of the
month-averaged diurnal heating cycle (black line). The right <inline-formula><mml:math id="M1" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis shows
temperature at KSBA and the left <inline-formula><mml:math id="M2" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis shows Montecito RAWs wind speed and gust
velocity. <bold>(d–f)</bold> Monthly frequencies of <bold>(d)</bold> top 0.5 % of Sundowner-only
events, <bold>(e)</bold> top 0.5 % of Sundowner events and any 6 h period of
Santa Ana winds events (Sundowner <inline-formula><mml:math id="M3" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> SAW in the text), and <bold>(f)</bold> top
2 % Santa-Ana-only (SAW in the text) events. Note differing <inline-formula><mml:math id="M4" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula>-axis scales.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/18/419/2018/nhess-18-419-2018-f01.jpg"/>

      </fig>

      <p id="d1e195">Strong downslope wind events (e.g., Smith, 1979; Durran, 1990) can lead to
damaging fires in mountainous regions when an ignition source is present
(Sharples et al., 2010). In the Santa Ynez mountains, these winds are locally
called “Sundowner” winds due to their characteristic onset during late
afternoon or early evening (Blier, 1998; Fig 1b and c). In an effort to
explain the dynamics of Sundowners, Cannon et al. (2017) performed 2 km
horizontal-resolution numerical simulations of several case studies. Their
simulations demonstrated the importance of northerly winds over the Santa
Ynez that formed gravity waves in the lee of the Santa Ynez. They also found
that the formation of a critical layer (Durran, 1990) or wind reversal with
height in the lower troposphere, was important in enhancing downslope wind
intensity by reflecting gravity wave energy to the surface. Wind gusts in
the Santa Ynez foothills can exceed 25 m s<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and low relative humidity
results from advection of dry inland air masses and adiabatic warming as air
descends nearly 900 m from the crest of the Santa Ynez southward to the
coastal plain (Fig. 1b and c). During Sundowner conditions, wildfires ignited
in the Santa Ynez Mountains rapidly grow downslope to threaten agriculture
and densely populated urban communities along the mountain front and coastal
plain regions. Although historical and paleofire regimes are dominated by
large fires (Mensing et al., 1999), any fire near the WUI such as the Tea,
Jesusita, or Painted Cave fires (Fig. 1a) can have devastating
consequences. As climatic conditions<?pagebreak page420?> increase water limitation (Williams and
Abatzoglou, 2016) and the WUI continues to expand, the risk to life and
property from fires in dryland regions will grow. Understanding and
quantifying the primary weather components that produce elevated local and
regional fire weather will be valuable in anticipating and mitigating these risks.</p>
      <p id="d1e210">Extensive study on extreme fire weather in southern California has focused
on Santa Ana winds (hereafter SAWs) that have contributed to many massive
conflagrations (Raphael, 2003; Hughes and Hall, 2010; Moritz et al., 2010;
Abatzoglou et al., 2013; Guzman-Morales et al., 2016). SAW conditions result
from the development of a strong pressure gradient produced in response to a
thermal gradient between the cold, inland deserts and warmer maritime
air mass (Hughes and Hall, 2010). This thermally driven pressure gradient
creates strong northeasterly winds and gravity wave-forced downward momentum
transfer that yields regional downslope warming and low relative humidity.
Despite the high impact of fires in the Santa Ynez Mountains on urban
communities (i.e., WUI; Martinuzzi et al., 2015) and agricultural operations,
little research has focused on the smaller-scale Sundowner winds and is
limited to case studies (Blier, 1998; Cannon et al., 2017). These studies
indicate that different atmospheric processes are involved in Sundowner
events compared to classic SAW events at the synoptic scale (Blier, 1998;
Cannon et al., 2017). However, these few case<?pagebreak page421?> studies avoid generalizing
their results in a climatological sense and to our knowledge no studies have
yet attempted to relate Sundowner winds to SAWs.</p>
      <p id="d1e214">Here we use observational data and atmospheric reanalysis products to
produce a synoptic climatology of Sundowner winds in an effort to broaden
the understanding of when and under what synoptic conditions Sundowner winds
occur and to relate them to the well-studied SAWs. We hypothesize that
Sundowner events are seasonally distinct from SAWs and have differing
synoptic-scale patterns associated with them. Sundowners that coincide with
SAWs are hypothesized to demonstrate similar synoptic patterns to SAW-only
events. Identifying the nuances that differentiate Sundowners from SAWs may
provide additional insight into fire weather forecasts and an understanding
of weather–fire–climate interactions (Mensing et al., 1999; Moritz et al., 2010;
Williams and Abatzoglou, 2016) in California's Transverse Ranges.</p>
</sec>
<sec id="Ch1.S2">
  <title>Data and methods</title>
      <p id="d1e223">To develop a climatology of Sundowner winds, we acquired quality-controlled
hourly air temperatures, wind speeds and directions, and dew point
temperatures
at the Santa Barbara airport (KSBA; Fig. 1a) from the National Center for
Environmental Information (<uri>https://www.ncdc.noaa.gov/data-access/land-based-station-data)</uri> from
1 January 1979 to 31 December 2014. Downslope adiabatic warming of air parcels
produces an abrupt increase in temperature in the coastal plain region, so
we use hourly temperature ramps (increases) observed outside of the normal
diurnal temperature cycle at KSBA as a proxy for Sundowner wind events
(Fig. 1b and c). Monthly mean diurnal heating cycles were calculated using
KSBA data over the recorded period. Days on which temperature was observed to
rise during the period in which cooling normally occurred (typically 16:00 to
07:00 LST) were classified as a temperature ramp event. From this definition,
we selected only the strong events or those in the top 0.5 % of the
identified dates to be included as potential Sundowner events (<inline-formula><mml:math id="M6" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M7" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 278 days).
The use of the top 0.5 % of events allowed us to focus on the
atmospheric dynamics characterizing the strong events. These events had a
temperature ramp of at least 4.4 <inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C; this value provided
confidence that observed heating was due to downslope warming and not merely
due to advection of the marine boundary layer away from KSBA (Iacobellis and Cayan, 2013).</p>
      <p id="d1e252">The hourly SAW index used for comparison with our Sundowner climatology
was developed for southern California by Guzman-Morales et al. (2016) using
output from a dynamically downscaled regional climate model at 10 km
horizontal resolution. Guzman-Morales et al. (2016) defined SAWs at each grid
cell by first identifying winds with a negative <inline-formula><mml:math id="M9" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula>-component (between 0 and
180<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) that exceeded the upper quartile of wind velocities in this
cell. To be categorized as a SAW event, they required a 12 h period of
continuous winds that had at least 1 h of velocity exceeding the grid
cell velocity threshold. They allowed discontinuities of up to 12 h to
account for breaks in SAWs, and their index reflects the regional average
wind speed during periods of time that satisfied the
direction–magnitude–continuity study design. To identify SAW-only days from
Guzman-Morales et al. (2016) SAW index and due to the relative frequency
of SAWs, we selected dates satisfying the top 2 % of SAW events (based on
the median hourly SAW index for each day in the SAW index data set; <inline-formula><mml:math id="M11" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M12" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 248 days).
These days did not coincide with dates identified as Sundowner-only
days (<inline-formula><mml:math id="M13" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M14" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 142). For coinciding Sundowner and SAW days (hereafter
Sundowner <inline-formula><mml:math id="M15" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> SAW), we selected dates within the top 0.5 % of Sundowner
events and also required 6 h of SAW index greater than zero (<inline-formula><mml:math id="M16" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M17" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 136 days).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><label>Figure 2</label><caption><p id="d1e323"><bold>(a)</bold> Cumulative distributions of relative humidity at KSBA
during the extended spring (March–June) Sundowner maxima and extended winter
(November–February) Santa Ana maxima. <bold>(b)</bold> As in <bold>(a)</bold> except
for wind speed at KSBA. <bold>(c, d)</bold> As in <bold>(a, b)</bold> but for the
Montecito RAWS. Distributions are created from either all hours (all days) or
for the 5 h following each identified possible top 0.5 % of Sundowner
events (Sundowner days) during the respective peak seasons (see Fig. 1d–f).</p></caption>
        <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/18/419/2018/nhess-18-419-2018-f02.png"/>

      </fig>

      <p id="d1e346">Output from the North American Regional Reanalysis (NARR; Mesinger et al.,
2006) was used for composite analysis. Three-hourly, 32 km horizontal-resolution mean sea-level pressure (MSLP) and 500 hPa geopotential heights
during each of the three regimes were averaged by peak seasons of identified
Sundowner (March–June) and Santa Ana (November–February) regimes in order to
separate out seasonal variability in geopotential heights and MSLP.
Anomalies of MSLP and 500 hPa heights were calculated as differences from
the 1981–2010 long-term daily means. Although our primary goal is to explore
synoptic-scale differences between wind regimes, Cannon et al. (2017)
pointed out the importance of northerly winds in Sundowners, which we would
expect to be absent during SAW-only regimes. To do this, we examined vertical
cross sections of northerly (<inline-formula><mml:math id="M18" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula>-component) winds from 32 to 36<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N at
levels between 1000 and 300 hPa from NARR. The
coarse resolution of reanalysis products prevented us from attempting to
identify overturning isentropes that are a key signature of mountain
wave-induced gravity wave breaking (Smith et al., 2014; Cannon et al., 2017).
Low-level (925 hPa) winds were composited to compare the spatial extent and
magnitude of northerly winds, particularly offshore winds, during Sundowner and
SAW events. To increase confidence that our temperature ramp identification
technique selected favorable fire conditions (i.e., stronger wind and lower
relative humidity compared to average conditions), we compared cumulative
distributions of wind speed and relative humidity for all hours during peak
Sundowner and Santa Ana months to the distribution of identified events
for each 5 h period beginning with the temperature ramp hour. The
August–Roche–Magnus approximation (Lawrence, 2005) was used to calculate
relative humidity at KSBA from observed temperature and dew point. In this
evaluation, we also included an assessment of all available hourly wind
speeds and relative humidity values from 1 October 1997 to 31 December 2014
from the Montecito Remote Automated Weather Station (RAWS) located in the
Santa Ynez foothills to the northeast of KSBA (Fig. 1a) in order to supplement the
hypothesis that<?pagebreak page422?> Sundowner conditions favor fire weather. Montecito RAWS data
were acquired from the Western Regional Climate Center (<uri>http://www.wrcc.dri.edu/raws)</uri>.</p>
</sec>
<sec id="Ch1.S3">
  <title>Results and discussion</title>
      <p id="d1e374">We find that Sundowner-only conditions peak during spring and early summer
with less frequent occurrences during fall and early winter (Fig. 1d).
Sundowner <inline-formula><mml:math id="M20" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> SAW events primarily occur during the cool season
(October–February) with a secondary peak in April (Fig. 1e). SAW-only
frequency maximizes during the late fall and winter season (Fig. 1f;
Raphael, 2003; Abatzoglou et al., 2013; Guzman-Morales et al., 2016), decreases during spring and is nearly absent in summer (Fig. 1f).
The spring and early summer peaks in Sundowner-only occurrences (Fig. 1d)
are consistent with many notable fires that have occurred in Santa Barbara
(Fig. 1a; Cannon et al., 2017). Not all notable fires, including the
Jesusita fire (Fig. 1a), occurred during strong Sundowner or SAW events as
we have defined them. The climate and fuel loading of the Santa Ynez creates
an environment in which damaging fires can occur under weaker Sundowner wind
regimes should ignition occur.</p>
      <p id="d1e384">For the period between 1997 and 2014 and during both the Sundowner and Santa Ana
peak seasons, the relative humidity during Sundowner events is lower by
20–40 % at KSBA (Fig. 2a) with winds that are between 2 and 4 m s<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
stronger (Fig. 2b) than non-Sundowner days. Results from the Montecito
RAWS station (Fig. 2c and d) are consistent with the KSBA results, with
Sundowner days indicating reduced relative humidity and increased wind speed
compared to all days for a given season. At both stations, springtime
Sundowners demonstrated lower relative humidity and stronger winds compared
to winter. These results are consistent regardless of whether the duration of Sundowners
considered span the RAWS (1997–2014) or the KSBA period of the record
(1979–2014; Fig. S1 in the Supplement).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><label>Figure 3</label><caption><p id="d1e401"><bold>(a–f)</bold> Composite North American Regional Reanalysis 500 hPa
geopotential heights (filled contours) and geopotential height anomalies
calculated as differences from the 1981–2010 long-term means (negative values
are dashed; contour interval 10 m). <bold>(g–l)</bold> Mean sea-level pressure
anomalies calculated as differences from the 1981–2010 long-term means (filled
contours). Contour lines show mean sea-level pressure (contour interval 2 hPa;
thick lines show 4 hPa).</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/18/419/2018/nhess-18-419-2018-f03.jpg"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><label>Figure 4</label><caption><p id="d1e418"><bold>(a–d)</bold> Composite North American Regional Reanalysis 925 hPa
wind velocity magnitudes (filled contours, contour interval 1 ms<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) with
vectors showing total wind direction (vector size is proportional to wind
magnitude). Shaded white areas indicate areas in which NARR terrain exceeds 925 hPa.
The dark blue lines in each panel indicate the extent of the cross section used
to produce the vertical cross sections shown in Fig. 5.</p></caption>
        <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/18/419/2018/nhess-18-419-2018-f04.jpg"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><label>Figure 5</label><caption><p id="d1e443"><bold>(a-d)</bold> Composite North American Regional Reanalysis northerly
(<inline-formula><mml:math id="M23" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula>-component) winds (filled contours; thin contour interval 0.5 ms<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
thick contour interval 2.5 ms<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) for the cross section spanning
32–36<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N through the center of the study area at a longitude of 120<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W.
Black areas denote NARR terrain.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/18/419/2018/nhess-18-419-2018-f05.jpg"/>

      </fig>

      <p id="d1e503">Composite analysis of NARR output during Sundowner-only days,
SAW <inline-formula><mml:math id="M28" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Sundowner days, and SAW-only days for the months during the respective
peaks of each wind regime (November–February – winter – for SAW and
March–June – spring – for Sundowner) indicates that regardless of peak season,
Sundowner-only events appear different from either SAW and SAW <inline-formula><mml:math id="M29" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Sundowner
events at the synoptic scale. During both winter and spring Sundowner-only
events, the 500 hPa ridge axis is more zonally elongated (Fig. 3a and d)
compared to the other regimes (Fig. 3b, c, e, f). During SAW or
Sundowner <inline-formula><mml:math id="M30" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> SAW cases, the 500 hPa geopotential heights become meridionally
amplified and positively tilted from the southwest to the northeast over
western North America with substantial positive anomalies centered near
40<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 130<inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W (Fig. 3b, c, e). This pattern is
analogous to the 700 hPa anomalies shown by Hughes and Hall (2010) and
promotes cold air advection from the interior western USA towards
California (Abatzoglou et al., 2013) during strong SAW regimes (Fig. 3c and f).
The deeper troughs in the Gulf of Alaska and over Manitoba during SAW
conditions indicate amplified flow regimes compared to the Sundowner-only
regime. The Sundowner <inline-formula><mml:math id="M33" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> SAW composites are similar but less amplified and
less positively tilted compared to the SAW-only composites. The similarity
in 500 hPa geopotential height patterns between the two SAW regimes supports
the hypothesis that SAW and SAW <inline-formula><mml:math id="M34" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Sundowner events are both created by
large-scale thermal gradient and momentum fluxes resulting from the
amplified ridging that produces broad offshore flow and downslope<?pagebreak page424?> warming
throughout southern California (Hughes and Hall, 2010). The more zonal
conditions during Sundowner-only events (Fig. 3a and d) suggest that these
events are synoptically distinct from the meridionally amplified conditions
characterizing SAWs (Fig. 3c and f). For comparison, seasonal means of
geopotential height and MSLP and differences between Sundowner only and
SAW only for these fields are provided in the Supplement (Figs. S2 and S3, respectively.)</p>
      <p id="d1e560">MSLP fields and their anomalies are consistent
with the differences between Sundowner and SAW wind regimes. During
Sundowner-only events, the maximum MSLP region (<inline-formula><mml:math id="M35" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 1020 hPa) is
offshore (Fig. 3g and h) with small (<inline-formula><mml:math id="M36" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 3 hPa) positive offshore
anomalies and moderate negative onshore anomalies, especially in winter
(Fig. 3g). The Sundowner <inline-formula><mml:math id="M37" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> SAW composites show an expansion of the eastern
edge of the 1020 hPa area towards the northeast with a corresponding
enhancement in positive offshore MSLP anomalies extending into the Pacific
Northwest (Fig. 3b and e). During SAW-only events, the 1020 hPa region
extends into and across western North America with a 1030 hPa maximum over
the northern Intermountain West region (Fig. 3i and l). Although offshore
positive MSLP anomalies exist, the maximum anomalies exceeding 10 hPa shift
to the northern Great Basin and Intermountain West regions (Fig. 3i and l). A
tighter east–west MSLP gradient exists west of the Santa Barbara region
during Sundowner and SAW <inline-formula><mml:math id="M38" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Sundowner events compared to SAW-only events.
This MSLP gradient likely contributes to the northerly winds that blow
perpendicular and downslope across the east–west-trending Santa Ynez and
other parts of the Transverse Ranges (Fig. 1a) and lead to localized increases in fire
weather conditions via decreased relative humidity and increased wind
(Figs. 1b, c and 2). As the regimes evolve from the Sundowner-only to
SAW-only, a progression in amplification and positive tilt of the 500 hPa
heights is observed with 1020 hPa MSLP contours extending
further inland and a deepening trough in the Gulf of Alaska. While our
composite analysis clearly indicates differences between Sundowner and SAW
regimes, the weak MSLP anomalies and more zonal 500 hPa flow during
Sundowners does not provide a compelling mechanism for their origin. This is
consistent with the findings of Cannon et al. (2017) and suggests the
important role of mesoscale forcing between low-level wind and terrain.</p>
      <?pagebreak page425?><p id="d1e591">Focusing on the low-level (925 hPa) winds near the Southern California
Bight, the presence of a 12 ms<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> north-northwesterly coastal jet is
observed offshore of California with northerly flow in the region of the
Santa Ynez during Sundowner-only events (Fig. 4a and c). The offshore coastal
jet is a climatological feature of the eastern Pacific (Doubler et al., 2015)
and may have a role in creating Sundowner winds if this northerly momentum
is advected eastward, producing strong cross-mountain flow over the Santa
Ynez. This low-level jet feature is absent during SAW-only events and the
flow throughout the offshore portion of the domain has a larger easterly
component, particularly over California (Fig. 4b and d). Vertical cross
sections are consistent with the low-level coastal jet offshore of
California and winds between <inline-formula><mml:math id="M40" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5 and <inline-formula><mml:math id="M41" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>7.5 ms<inline-formula><mml:math id="M42" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> up- and downstream of
the terrain near Santa Barbara during Sundowner-only conditions (Fig. 5a and c).
This is consistent with the case studies of Cannon et al. (2017) and
the requirement for strong cross-mountain flow in downslope windstorms
(Smith, 1979; Durran, 1990). Composites for SAW-only events indicates weak to
no northerly wind (0 to <inline-formula><mml:math id="M43" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.5 ms<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) in the vicinity of Santa Barbara
(Fig. 5b and d). SAW events show stronger momentum aloft, consistent with the
tighter mid-tropospheric geopotential height gradient (Fig. 3c and f) compared
to Sundowner-only events (Fig. 3a and d). The 32 km horizontal resolution of
NARR precludes a finer-scale analysis of how coastal winds and topography
interact to produce Sundowners and is the subject of continuing research
using a 10 year, 2 km horizontal-resolution downscaled climatology produced
with a numerical weather prediction model (Smith et al., 2018). This
study comprehensively addresses the subsynoptic dynamics of Sundowner wind events.</p>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Summary</title>
      <p id="d1e658">We defined Sundowner events as observed Santa Barbara airport temperature
ramps that occurred outside of the normal diurnal cycle under the assumption
that these ramps were driven by adiabatic descent of air parcels over the
Santa Ynez Mountains. During the most extreme temperature ramps, reduced
relative humidity and increased winds were observed in the foothills and at
the coastal plain, thus supporting the validity of this assumption. These
identified days were compared to an existing index of Santa Ana wind (SAW)
regimes to evaluate potential synoptic differences between these two
wind regimes. Sundowners occur most frequently during late spring and have a
secondary maximum during winter that is often associated with SAWs. During
either season, SAW regimes have distinctly different large-scale conditions
compared to Sundowner-only conditions, with Sundowner-only conditions lacking the amplified geopotential heights and enhanced inland anomalous
positive MSLP found during SAW regimes. Sundowner-only conditions demonstrated the
presence of a low-level northerly coastal jet that was absent<?pagebreak page426?> during
SAW-only regimes. Our results are consistent with Blier (1998) and Cannon et
al. (2017), showing that Sundowner winds are a unique phenomenon in the Santa Barbara
region. Our findings are limited by the lack of upstream observational data
and the small scale of the Santa Ynez mountains, which inhibits the ability
of reanalysis output to comprehensively evaluate the three-dimensional
characteristics of Sundowner winds. Continuing work seeks to understand more
precisely how Sundowner winds are produced and to provide more detailed
information regarding their local variability across the Santa Ynez
Mountains. This information could improve spot weather forecasts (Nauslar et
al., 2016), evaluate future fire–weather–climate interactions (Peterson et
al., 2011), and aid mitigating fire hazard in the Transverse Ranges.</p>
</sec>

      
      </body>
    <back><notes notes-type="codeavailability"><title>Code availability</title>

      <p id="d1e666">The MATLAB code used in this study will be made available
upon request to the corresponding author Benjamin J. Hatchett.</p>
  </notes><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e672">All data have been properly cited in the text and are publicly available.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e675">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/nhess-18-419-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/nhess-18-419-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e684">CMS designed the temperature ramp identification technique,
BJH wrote all code, performed the analysis, and prepared the manuscript with
contributions from all co-authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e690">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e696">Benjamin J. Hatchett, Craig M. Smith, and Michael L. Kaplan were supported by
the National Science Foundation Physical and Dynamical Meteorology Program under
award AGS-1419267. Kellen Nelson, Clive Dorman, and two anonymous reviewers
provided helpful comments that improved this manuscript. <?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Joaquim G. Pinto <?xmltex \hack{\newline}?>
Reviewed by: three anonymous referees</p></ack><?xmltex \hack{\newpage}?><?xmltex \hack{\newpage}?><ref-list>
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    <!--<article-title-html>Brief Communication: Synoptic-scale differences  between Sundowner and Santa Ana wind regimes  in the Santa Ynez Mountains, California</article-title-html>
<abstract-html><p>Downslope Sundowner winds in southern California's
Santa Ynez Mountains favor wildfire growth. To explore differences between
Sundowners and Santa Ana winds (SAWs), we use surface observations from 1979 to 2014
to develop a climatology of extreme Sundowner days. The
climatology was compared to an existing SAW index from 1979 to 2012.
Sundowner (SAW) occurrence peaks in late spring (winter). SAWs demonstrate
amplified 500&thinsp;hPa geopotential heights over western North America and
anomalous positive inland mean sea-level pressures. Sundowner-only
conditions display zonal 500&thinsp;hPa flow and negative inland sea-level pressure
anomalies. A low-level northerly coastal jet is present during Sundowners
but not SAWs.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Abatzoglou, J. T., Barbero, R., and Nauslar, N. J.: Diagnosing Santa Ana Winds
in southern California with synoptic-scale analysis, Weather Forecast., 28,
704–710, <a href="https://doi.org/10.1175/WAF-D-13-00002.1" target="_blank">https://doi.org/10.1175/WAF-D-13-00002.1</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Balch, J. K., Bradley, B. A., Abatzoglou, J. T., Nagy, R. C., Fusco, E. J., and
Mahood, A. L.: Human-started wildfires expand the fire niche across the United
States, P. Natl. Acad. Sci. USA, 114, 2946–2951, <a href="https://doi.org/10.1073/pnas.1617394114" target="_blank">https://doi.org/10.1073/pnas.1617394114</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Blier, W.: The Sundowner winds of Santa Barbara, California, Weather Forecast.,
13, 702–716, <a href="https://doi.org/10.1175/1520-0434(1998)013&lt;0702:TSWOSB&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0434(1998)013&lt;0702:TSWOSB&gt;2.0.CO;2</a>, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Cannon, F., Carvalho, L. M. V., Jones, C., Hall, T., Gomberg, D., Dumas, J.,
and Jackson, M.: WRF simulation of downslope wind events in coastal Santa
Barbara county, Atmos. Res., 191, 57–73, <a href="https://doi.org/10.1016/j.atmosres.2017.03.010" target="_blank">https://doi.org/10.1016/j.atmosres.2017.03.010</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Doubler, D. L., Winkler, J. A., Bian, X., Walters, C. K., and Zhong, S.: An
NARR-derived climatology of southerly and northerly low-level jets over North
America and coastal environs, J. Appl. Meteorol. Clim., 54, 1596–1619,
<a href="https://doi.org/10.1175/JAMC-D-14-0311.1" target="_blank">https://doi.org/10.1175/JAMC-D-14-0311.1</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Durran, D. R.: Mountain waves and downslope winds, Meteorol. Monogr., 23, 60–83, 1990.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Guzman-Morales, J., Gershunov, A., Theiss, J., Li, H., and Cayan, D.: Santa
Ana winds of southern California: Their climatology, extremes, and behavior
spanning six and a half decades, Geophys. Res. Lett., 43, 2827–2834,
<a href="https://doi.org/10.1002/2016GL067887" target="_blank">https://doi.org/10.1002/2016GL067887</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Hughes, M. and Hall, A.: Local and synoptic mechanisms causing southern California's
Santa Ana winds, Clim. Dynam., 34, 847–857, <a href="https://doi.org/10.1007/s00382-009-0650-4" target="_blank">https://doi.org/10.1007/s00382-009-0650-4</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Iacobellis, S. F. and Cayan, D. R.: The variability of California summertime
marine stratus: Impacts on surface air temperatures, J. Geophys. Res.-Atmos.,
118, 9105–9122, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Lawrence, M. G.: The Relationship between relative humidity and the dewpoint
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