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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ADGEO</journal-id><journal-title-group>
    <journal-title>Advances in Geosciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7359</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/adgeo-45-273-2018</article-id><title-group><article-title>The North Sea surge of 31 October–1 November 2006<?xmltex \hack{\break}?> during Storm Britta</article-title><alt-title>The North Sea surge of 31 October–1 November 2006</alt-title>
      </title-group><?xmltex \runningtitle{The North Sea surge of 31 October--1 November 2006}?><?xmltex \runningauthor{A. J. Kettle}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Kettle</surname><given-names>Anthony James</given-names></name>
          <email>ake3358@gmail.com</email>
        </contrib>
        <aff id="aff1"><institution>Department of Geography, Maynooth University, Maynooth, County Kildare, Ireland</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Anthony James Kettle (ake3358@gmail.com)</corresp></author-notes><pub-date><day>10</day><month>September</month><year>2018</year></pub-date>
      
      <volume>45</volume>
      <fpage>273</fpage><lpage>279</lpage>
      <history>
        <date date-type="received"><day>23</day><month>May</month><year>2018</year></date>
           <date date-type="rev-recd"><day>24</day><month>July</month><year>2018</year></date>
           <date date-type="accepted"><day>26</day><month>July</month><year>2018</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://adgeo.copernicus.org/articles/45/273/2018/adgeo-45-273-2018.html">This article is available from https://adgeo.copernicus.org/articles/45/273/2018/adgeo-45-273-2018.html</self-uri><self-uri xlink:href="https://adgeo.copernicus.org/articles/45/273/2018/adgeo-45-273-2018.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/45/273/2018/adgeo-45-273-2018.pdf</self-uri>
      <abstract>
    <p id="d1e74">Offshore energy infrastructure, including the petroleum and wind energy
sectors, are susceptible to damage and interruption by extreme meteorological
events. In northwest Europe and especially the North Sea, these extreme
meteorological events are mostly associated with severe storms in the autumn
and winter seasons. In the North Sea, storm surges have an impact on the
offshore energy sector mainly from the flooding of port facilities and from
strong ocean currents causing extra structural loading and bottom scouring.
Storm Britta on 31 October–1 November 2006 was an important North Sea storm
with a high surge along the coast of the Netherlands and Germany and a
significant number of high wave reports. The paper presents an analysis of
the national tide gauge records of the United Kingdom, the Netherlands,
Germany, and Denmark to spectrally isolate and reconstruct time series
components corresponding to the storm surge, semi-diurnal tide, and short
period contribution. The semi-diurnal tides and storm surge during Storm
Britta are tracked counter-clockwise around the North Sea from Scotland to
northern Denmark. The storm surge was remarkable for its pronounced peak in
the coastal area between the Netherlands and Germany with no precedent in the
<inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> year measurement record. The short period component of the tide
gauge records show large oscillations during the height of the storm that may
correspond with reports of unusually high waves at nearby coastal locations.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e94">Offshore energy infrastructure is susceptible to damage and interruption by
extreme meteorological events. In subtropical areas, hurricanes and cyclones
have serious impacts on offshore energy infrastructure, but in northwest
Europe – especially in the North Sea – winter storms represent an
important threat to offshore oil and gas industry, as well as the developing
offshore wind energy sector (Magnusson, 2008; Diamond, 2012). The worst
North Sea winter storms are typically characterized by a high wave field,
and the infrastructure damage that results from individual wave impacts is
often given a high profile in media reports (Kettle, 2016). However, the
coastal flooding that often accompanies the worst North Sea storms also
impacts offshore energy infrastructure and interrupts transport networks.
The storm surge is associated with strong ocean currents on the continental
shelf and is an important contributing factor to bottom scouring effects
that have affected many offshore wind turbines in the North Sea (Diamond,
2012).</p>
      <p id="d1e97">Several high profile storms in different parts of the world highlight the
impacts of storm surges on energy infrastructure. Hurricane Katrina in
August 2005 was the most damaging hurricane in United States history. It was
associated with a high storm surge that was <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> m at some
locations along the coast of the Gulf of Mexico, which was much larger than
the 4.5 m storm surge for a historically important disaster at Galveston,
Texas in 1900 (Pugh, 1987). Petroleum infrastructure was significantly
impacted during Hurricane Katrina with a number of offshore drilling
platforms destroyed by the high wind and wave field, floating platforms set
adrift by strong ocean currents, and oil storage tanks displaced and
ruptured by storm surge flooding of the ports (Cruz and Krausmann, 2013).
For the wind energy industry, the Kandla cyclone of June 1998 was an
important event with gusts <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">70</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M4" 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> that caused
significant destruction at three coastal onshore wind farms at near
Porbandar, Gujarat where the Arabian Sea cyclone made landfall
(Winther-Jensen and Jørgensen, 1999). The cyclone caused a 2–3 m storm
surge that flooded the port of Kandla and caused extensive<?pagebreak page274?> damage to energy
infrastructure in the state of Gujarat (IMD, 1999). In the North Sea, two
important storm surges of the past 100 years – in 31 January–1 February 1953 and
6 December 2013 – had significant impacts on onshore energy generation and
transmissions systems, in addition to property damage and interrupted
transportation networks (Wadey et al., 2015). Paskal (2009) highlights that
a significant amount of energy infrastructure around the North Sea is close
to sea level and hence potentially at risk from storm surge damage.</p>
      <p id="d1e132">This report investigates the storm surge associated with Storm Britta in the
North Sea on 31 October–1 November 2006, an event that was important for the
offshore energy and transport sectors. The storm centre passed across the
northern North Sea between Scotland and southern Norway and caused a high
storm surge on the Dutch and German coasts from the cold air outbreak in its
wake. There were a number of maritime accidents and shoreline incidents in
the North Sea, and limited evidence from eyewitness accounts and automated
instruments indicates an important role of small groups of large waves
(KNRM, 2007; RWS, 2007; Pleskachevsky et al., 2012). Instrumental recordings
provide basic information about the magnitude of the waves, but the
mechanism of their formation and propagation remains unclear. The waves have
been linked with a resonant interaction with travelling convection cells
over the North Sea (Pleskachevsky et al., 2012), but there is not a consensus
on this within the scientific community (Larsén et al., 2017).
Literature surveys for this storm are presented in Kettle (2015, 2016)
including information on wind speed and meteorological parameters from media
reports. Brusch et al. (2008), Pleskachevsky et al. (2012) and Larsén et al. (2017) present important insights into this storm with remote sensing
data and numerical models. The goal of the present study is to investigate
data from the North Sea tide gauge network, firstly to quantify the
magnitude of the storm surge at different locations, and secondly to assess
if the short period component of the water level records is linked with the
reported wave events.</p>
</sec>
<sec id="Ch1.S2">
  <title>Methods</title>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p id="d1e143">Map of tide gauge stations and large wave events during
Storm Britta on 31 October–1 November 2006. The wave events include media reports
of wave strikes that have damaged ships, interrupted platform operations, or
caused shoreline incidents, in addition to recordings of automated
instrumentation. Information on the tide gauges and large wave events are
given in the Supplement.</p></caption>
        <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/45/273/2018/adgeo-45-273-2018-f01.jpg"/>

      </fig>

      <p id="d1e152">The analysis strategy was to use an array of tide gauges around the North
Sea to isolate and study the propagation characteristics of semi-diurnal
tide, long period component (storm surge), and short period component. The
semi-diurnal tidal peaks propagate counter-clockwise around the North Sea
every <inline-formula><mml:math id="M5" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 12 h as coastally trapped shallow-water waves. Storm
surges with longer period characteristics have two important source
components. Firstly, there is a storm-induced sea level pulse from the
Atlantic Ocean continental shelf that enters the North Sea north of Scotland
propagates in a similar manner as the tides, and secondly, there is a local
wind-driven component that depends on the onshore wind speed and depth
characteristics of the water basin (Pugh, 1987). The short period components
are identified with “harbour seiches” by Pugh (1987), although tsunamis and
more recently identified meteo-tsunamis have similar frequency
characteristics.</p>
      <p id="d1e162">The present study is based on 60 North Sea tide gauge records (Fig. 1) from
the national networks of the United Kingdom (10 stations), the Netherlands
(20 stations), Germany (17 stations), and Denmark (13 stations). The time
discretization of the water level data sets varies among the different
national authorities, and ranges from 1 min for Germany to 10 min
for the Netherlands and Denmark and 15 min for the United Kingdom. To
shorten the computational processing time of the large number of stations,
10 min averages were calculated for the 1 min data sets from
Germany. Further information about the characteristics of the tide gauge
data sets is given in the Table S1 in the Supplement. A spectral
analysis approach was used to separate the tidal signal from the long period
and short period components. From the original data sets, time segments
across the period of the storm (24 October–5 November 2006, inclusive) were
extracted. These data segments were detrended and then subjected to analysis
with a discrete Fourier transform (Stull, 1988) to derive plots of spectral
energy vs. period. Figure S1 gives a sample
power spectrum for one station. The power spectra were used to identify
frequency time thresholds of 0.2 to 1.2 days to identify the tidal band
and isolate it from the short and long period components. The 1.2 day
threshold separating the tidal band and identified storm surge was chosen
based on a minimum in the spectral energy plots for many stations. The 0.2 day (or 4.8 h) short period threshold for the tidal band was more
difficult to define as higher harmonics of the dominant semi-diurnal tide
may extend to short periods especially in shallow water areas of the
southern North Sea. This threshold was chosen by trial and error to give a
single-peaked semidiurnal tide, and shorter period thresholds resulted in
oscillations in the reconstructed tidal signal for some stations. For the
three frequency bands, time series data sets were reconstructed following
Stull (1988).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e168"><bold>(a)</bold> Original tide gauge time series and frequency band
reconstructions for the <bold>(b)</bold> storm surge, <bold>(c)</bold> tidal, and <bold>(d)</bold> short period
components. The red plus symbols mark the maximum of the 48 h time series
for <bold>(a)</bold> and <bold>(b)</bold>.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/45/273/2018/adgeo-45-273-2018-f02.jpg"/>

      </fig>

      <p id="d1e194">A list of high wave events was selected from the compilation of Kettle (2016)
to compare with the time series derived from the tide gauge data, and these
are also shown in Fig. 1. The events include eye-witness accounts of wave
strikes that caused damage on ships (<italic>Hanseatic Sea</italic>,
<italic>Slotergracht</italic>, and <italic>Thor Sentry</italic>) and possible
wave-related cable breaks for platforms (<italic>Bideford Dolphin</italic> and
<italic>Bredford Dolphin</italic>), as well as two shoreline incidents
(Kessingland and Scarborough in the UK). There were instrumental recordings
of unusual wave events at several offshore locations: “Schiermonnikoog” off
the Dutch coast, “FINO1” and “Elbe2” off the German coast, and
“Hirtshals-W” off the Danish coast. These included unusual features in the
half-hour records of significant and maximum wave heights. For the
Schiermonnikoog and FINO1 sites, high resolution wave height source data
indicated large, well-formed wave groups with multiple events during the
storm. Most of the instrumental<?pagebreak page275?> wave data available for analysis for this
storm were from Datawell Waverider buoys, a particularly rugged design that
has undergone several decades of development and is used globally (Joosten,
2011). Many of the wave events are supported by eyewitness accounts, other
instrumental recordings, and structural damage (Hessner and Reichert, 2007;
KNRM, 2007; RWS, 2007). Several national authorities and an offshore service
company additionally made data recordings and original reports available. The
primary source for the wave events is given in Table S2. Most of the wave
events occurred within a 100 km of the coast in the vicinity of a tide gauge
station. However, the three wave events that took place in the centre of
northern North Sea (<italic>Thor Sentry</italic>, <italic>Bideford Dolphin</italic>,
and <italic>Bredford Dolphin</italic>) were far away from the tide gauge network,
and as indicated in the Results section below, it was unclear how to link
these with the tide gauge events in the southern North Sea.</p>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
      <p id="d1e228">The original time series data from the tide gauge stations around the North
Sea are plotted in Fig. 2a for the two days of the storm on 31 October–1 November 2006. The semi-diurnal tidal signal is the most significant feature in the
raw time series in Fig. 2a, and many traces also show short period noise
that was hypothesized to give information on reported wave events. The time
series reconstructions of main frequency bands of the water level record are
shown in Fig. 2b–d, corresponding to the storm surge, tidal, and short
period components. The tidal component has the highest variance in the
spectral analysis and the largest amplitudes in the time series
reconstructions, followed by the storm surge and short period components.
The tidal peaks travel counter-clockwise around North Sea starting from
Aberdeen (Fig. 2c). Figure 2b shows how the storm surge component propagates
as a single broad peak southward along the English and Danish coasts of the
northern North Sea toward the German Bight (with two stations in northern
Denmark<?pagebreak page276?> breaking the trend). The short period reconstructions for most
stations (Fig. 2d) show oscillations with average trough-to-peak ranges of
1–15 cm and average periods ranging from <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula>–3 h. The
highest trough-to-peak range for several stations during the storm exceeds
40 cm (IJmuiden buitenhaven, Delfzijl, and Terschelling Nordzee on the
Netherlands coast, and Wangerooge-West and Langeoog on the German coast).
Some stations show a ring-down effect after the appearance of large
oscillations, with the amplitudes of successive oscillations becoming
smaller in time. An example of this is shown for three neighbouring stations
on the German coast in Fig. S2. In some cases,
clusters of stations in close proximity show large amplitude oscillations at
the about same time, as if they were all excited together by the same event.
The behaviour is qualitatively similar to the examples of weather-induced
harbour seiches described by Pugh (1987).</p>
      <p id="d1e241">The skew surge for a tide gauge station is calculated as the maximum water
level during a storm minus the average high tide. It is a simple, robust
diagnostic of an anomalous storm surge water level that can be estimated
from a short tide gauge time series segment. For Storm Britta, the skew
surge for different locations around the North Sea is shown in Fig. 3. The
skew surge was highest along the coast between the Netherlands and Germany,
and the results from the present analysis are in approximate agreement with
the government and media reports that were issued soon after the storm (see
also Table S3). Literature reports indicate
that Storm Britta established a new record of measured water levels for
Delfzijl and nearby locations on the German coast (RWS, 2007).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e246">Skew surge for Storm Britta with published values for
comparison.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/45/273/2018/adgeo-45-273-2018-f03.png"/>

      </fig>

      <?pagebreak page277?><p id="d1e255">Figure 4 shows the relationship among the propagating semi-diurnal tidal
peaks, storm surge peak, wave events, and dominant peaks in the short period
reconstruction on axes of time vs. counter-clockwise distance along the
coast from Aberdeen. The tidal peaks entered over northern Scotland and
travelled counter-clockwise around the North Sea with a speed of
<inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M8" 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>, which corresponds to a shallow water wave
propagating across a water body of <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> m depth (Pugh, 1987).
The propagation characteristic of the surge was mostly different from the
tides. In western North Sea, the external surge propagated southward from
Aberdeen, but with a different speed from the tide so that the surge maximum
became associated with different <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula> h tidal peaks at
different locations around the North Sea. In the eastern North Sea, the
surge moved southward along the coast of Denmark against the tidal
direction. Between the northern Netherlands and the German North Sea coast,
the surge peak and semi-diurnal tide peak were in close association. Figure
4 also shows the wave incidents and the two highest maxima of the short
period tide gauge reconstruction (from Fig. 2d) on the same axes used for
the moving tide and storm surge peaks. Along the northern coast of the
Netherlands and Germany, there is a clustering of short period maxima and
wave incidents in the first 12 h of 1 November. This includes the wave
strikes on the ships <italic>Slotergracht</italic> and <italic>Hanseatic Sea</italic>, all the unusual wave events at the
“Schiermonnikoog” and “Elbe” wave recorders, and the wave group that damaged
the platform “FINO1”. The wave accidents at Kessingland and Scarborough on
the east coast of England occurred within the same time frame but appear to
be associated with the two following two semidiurnal tidal peaks. The
unusual wave events at Hirtshals-W occurred between two tidal peaks, and
first wave incident at this buoy is associated with the maximum of short
period reconstruction of a nearby tide gauge. In the central part of the
northern North Sea the <italic>Bideford Dolphin</italic>, <italic>Bredford Dolphin</italic>, and <italic>Thor Sentry</italic> were far away from the tide gauge
network, and their corresponding symbols (BID, BRE, and THO) have been drawn
with question marks near the northernmost (and closest) tide gauge stations
at Aberdeen and Skagen. These wave accidents took place in the afternoon of
31 October 2006 several hours before the start of the reported wave accidents
in the southern North Sea on the morning of 1 November 2006.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e319">Relation between time and coastline distance around the
North Sea for the semi-diurnal tide peaks, storm surge peaks, large wave
events, and the two highest amplitude oscillations from the short period
time series reconstructions for each tide gauge station in Fig. 2d. The
abbreviations for the wave events are given in Table S2. The vertical length of the bar for the short period oscillations
denotes the zero-crossing period of the down-crossing oscillation; the width
and colour of the bar are used to distinguish the first and second highest
oscillations.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/45/273/2018/adgeo-45-273-2018-f04.png"/>

      </fig>

      <p id="d1e328">Figure 4 highlights that the wave incidents were in many cases associated
with the maxima in the short period tide gauge reconstruction. Although the
features in the short period tide gauge reconstruction do not directly
record the small groups of large waves that caused damage offshore, the tide
gauge record may capture harbour seiche oscillations that were initiated by
large waves striking the coast. The other candidate mechanism for the short
period oscillations is linked with the propagation of the atmospheric
convection cells that covered North Sea during the storm (Pleskachevsky et
al., 2012). However, the characteristic time scale of the travelling
convection cells – defined by the horizontal dimension of the cloud pattern
in satellite images and measured wind speed – is given as 0.1–0.3 h by
Brusch et al. (2008), and this is shorter than the average period of the
short period oscillations in Fig. 2d (<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>–2 h for
stations in the German Bight area). The arrangement of tide gauge wave
maximum and offshore wave accidents in Fig. 4b hints that there may be a
relationship between events occurring in different places that are
potentially widely separated. This was suggested by Rosenthal et al. (2011)
reviewing events of the rogue wave<?pagebreak page278?> strike on the <italic>Draupner</italic> platform in the northern
North Sea during a winter storm on 1 January 1995 and the <italic>Alfried Krupp</italic> lifeboat accident
in the southern North Sea several hours later. For the Britta storm, Fig. 4b
indicates a possible alignment of certain clusters of wave-related events
with speed characteristics that are consistent with shallow water waves
travelling across the North Sea in the coastwise direction of the tide and
possibly also other directions.</p>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e353">The study presents an overview of tide gauge surge record for a serious
North Sea storm in 2006 that caused damage to offshore energy
infrastructure, in addition to coastal flooding and wave strikes on offshore
platforms and shipping. Spectral analysis of the tide gauge records from the
UK, Netherlands, Germany, and Denmark were used as the basis of a time
series reconstruction to isolate different frequency bands corresponding to
the storm surge, tides, and short period component. The analysis highlights
the special feature of significant surge flooding in the coastal region
between the Netherlands and Germany, which established a new record of high
water levels at some stations. This is important for the offshore energy
sector for the potential interruption of operations, and for the structural
loads and bottom scouring effects associated with extreme ocean currents.
The short period component of the tide gauge record shows that pronounced
oscillations tended to occur with the high tide and storm surge maximum,
with indications of propagation to more distant areas. The largest of these
oscillations may have some correspondence with reports of wave accidents and
instrument recordings across the North Sea during the Britta storm. While
tide gauges cannot be used to quantify big wave strikes on platforms and
shipping offshore, the short period oscillations that they register in storm
conditions may be linked with large singular wave events in coastal areas.</p>
</sec>

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

      <p id="d1e361">The water level data for this study was measured by the
national tide gauge networks of the UK, the Netherlands, Germany, and
Denmark. It was obtained from different sources that are given in Table S1 of
the Supplement.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><?pagebreak page279?><p id="d1e364">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/adgeo-45-273-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/adgeo-45-273-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p id="d1e373">The author conducted the data analysis, wrote the manuscript, and made a poster presentation at the EGU General Assembly 2018, Vienna, Austria.</p>
  </notes><notes notes-type="competinginterests">

      <p id="d1e379">The author declares that there is no conflict of interest.</p>
  </notes><notes notes-type="sistatement">

      <p id="d1e385">This article is part of the special issue “European Geosciences
Union General Assembly 2018, EGU Division Energy, Resources &amp; Environment
(ERE)”. It is a result of the EGU General Assembly 2018, Vienna, Austria,
8–13 April 2018.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e391">The author gratefully acknowledges data from national tide gauge networks
provided by Wilfried Wiechmann of the Federal Institute of Hydrology of
Germany and Søren Bjerre Knudsen of Kystdirektoratet of Denmark.
Samuel J. Arnoldson of P/F Thor and Stein Solberg of JRCC southern Norway
provided details of certain wave accidents in the northern North Sea. The
author appreciates discussions of the conference presentation with EGU2018
delegates: Ray Bell, Christoph Jörges, Xiaoli Larsen, Elke Meyer,
Stephanie Rynders, Joanna Williams, and Peter Louring Nielsen at the CTBTO
information booth. The author appreciates the comments of two reviewers in
improving the manuscript.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: Sonja
Martens<?xmltex \hack{\newline}?> Reviewed by: Christoph Jörges and one anonymous
referee</p></ack><ref-list>
    <title>References</title>

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around the UK, Front. Mar. Sci., 2, 84, <ext-link xlink:href="https://doi.org/10.3389/fmars.2015.00084" ext-link-type="DOI">10.3389/fmars.2015.00084</ext-link>, 2015.</mixed-citation></ref>
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  </ref-list></back>
    <!--<article-title-html>The North Sea surge of 31 October–1 November 2006 during Storm Britta</article-title-html>
<abstract-html><p>Offshore energy infrastructure, including the petroleum and wind energy
sectors, are susceptible to damage and interruption by extreme meteorological
events. In northwest Europe and especially the North Sea, these extreme
meteorological events are mostly associated with severe storms in the autumn
and winter seasons. In the North Sea, storm surges have an impact on the
offshore energy sector mainly from the flooding of port facilities and from
strong ocean currents causing extra structural loading and bottom scouring.
Storm Britta on 31 October–1 November 2006 was an important North Sea storm
with a high surge along the coast of the Netherlands and Germany and a
significant number of high wave reports. The paper presents an analysis of
the national tide gauge records of the United Kingdom, the Netherlands,
Germany, and Denmark to spectrally isolate and reconstruct time series
components corresponding to the storm surge, semi-diurnal tide, and short
period contribution. The semi-diurnal tides and storm surge during Storm
Britta are tracked counter-clockwise around the North Sea from Scotland to
northern Denmark. The storm surge was remarkable for its pronounced peak in
the coastal area between the Netherlands and Germany with no precedent in the
 ∼ 100 year measurement record. The short period component of the tide
gauge records show large oscillations during the height of the storm that may
correspond with reports of unusually high waves at nearby coastal locations.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Brusch, S., Lehner, S., and Schulz-Stellenfleth, J.: Synergetic use of radar
and optical satellite images to support severe storm prediction of offshore
wind farming, IEEE J. Sel. Top. Appl., 1, 57–66, <a href="https://doi.org/10.1109/JSTARS.2008.2001838" target="_blank">https://doi.org/10.1109/JSTARS.2008.2001838</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Cruz, A. M. and Krausmann, E.: Vulnerability of the oil and gas sector to
climate change and extreme weather events, Climatic Change, 121, 41–53, <a href="https://doi.org/10.1007/s10584-013-0891-4" target="_blank">https://doi.org/10.1007/s10584-013-0891-4</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Diamond, K. E.: Extreme weather impacts on offshore wind turbines: lessons
learned, Nat. Resour. Env. Iss., 27, 1–5, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Hessner, K. and Reichert, K.: Sea surface elevation maps obtained with a
nautical X-band radar – Examples from WaMoS II stations, 10th
International Workshop on Wave Hindcasting and Forecasting and Coastal
Hazard Symposium, North Shore, Oahu, Hawaii, 11–16 November 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
IMD: Report on Cyclonic Disturbances over the North Indian Ocean (abridged
report circulated during the meeting of WMO/ESAP panel on tropical cyclones)
1998, RSMC-Tropical Cyclones, New Delhi, February 1999.

</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Joosten, H. P.: Datawell 1961–2011, Riding the Waves for 50 years, Datawell
BV, Haarlem, the Netherlands, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Kettle, A. J.: Review Article: Storm Britta in 2006: offshore damage and
large waves in the North Sea, Nat. Hazards Earth Syst. Sci. Discuss., 3,
5493–5510, <a href="https://doi.org/10.5194/nhessd-3-5493-2015" target="_blank">https://doi.org/10.5194/nhessd-3-5493-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Kettle, A. J.: Assessing extreme events for energy meteorology: media and
scientific publication to track the events of a North Sea storm, Enrgy.
Proced., 96, 116–123, <a href="https://doi.org/10.1016/j.egypro.2016.10.033" target="_blank">https://doi.org/10.1016/j.egypro.2016.10.033</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
KNRM: Capsize and survival, Report on lifeboat Anna Margaretha's capsizes
1 November 2006, Koninklijke Nederlandse Redding Maatschappij, Ijmuiden,
2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Larsén, X. G., Du, J., Bolaños, R., and Larsen, S.: On the impact of
wind on the development of wave field during storm Britta, Ocean Dynam.,
67, 1407–1427, <a href="https://doi.org/10.1007/s10236-017-1100-1" target="_blank">https://doi.org/10.1007/s10236-017-1100-1</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Magnusson, A. K.: Forecasting extreme waves in practice, Proceedings of the
Rogue Waves 2008 Workshop, edited by: Olagnon, M. and Prevosto, M., Brest, France,
1–15 October, 261–281, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Paskal, C.: Briefing paper: The vulnerability of energy infrastructure to
climate to environmental change (EERG BP 2009/01), Chatham House, London,
2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Pleskachevsky, A. L., Lehner, S., and Rosenthal, W.: Storm observations by
remote sensing and influences of gustiness on ocean waves and on generation
of rogue waves, Ocean Dynam., 62, 1335–1351, <a href="https://doi.org/10.1007/s10236-012-0567-z" target="_blank">https://doi.org/10.1007/s10236-012-0567-z</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Pugh, D. T.: Tides, Surges and Mean Sea Level, John Wiley and Sons,
Chichester, 1987.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Rosenthal, W., Pleskachevsky, A. L., Lehner, S., and Brusch, S.: Observation
and modelling of high individual ocean waves and wave groups caused by a
variable wind field, 12th International Workshop on Wave Hindcasting and
Forecasting, Kohala Coast, Hawai'i, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
RWS: Allerheiligenvloed 2006, Achtergrondverslag van de stormvloed van 1
November 2006, Rijkswaterstaat Rijksinstituut voor Kust en Zee (RIKZ), 30 June 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Stull, R. B.: An Introduction to Boundary Layer Meteorology, Kluwer Academic
Publishers, Dordrecht, 1988.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Wadey, M. P., Haigh, A. A., Nicholls, R. J., Brown, J. M., Horsburgh, K.,
Carroll, B., Gallop, S. L., Mason, T., and Bradshaw, E.: A comparison of the
31 January–1 February 1953 and 5–6 December 2013 coastal flood events
around the UK, Front. Mar. Sci., 2, 84, <a href="https://doi.org/10.3389/fmars.2015.00084" target="_blank">https://doi.org/10.3389/fmars.2015.00084</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Winther-Jensen, M. and Jørgensen, E. R.: When real life wind speed exceeds
design wind assumptions, 1999 European Wind Energy Conference, 1–5 March
1999, Nice, France, 220–223, 1999.
</mixed-citation></ref-html>--></article>
