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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 Science</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 GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/nhess-15-2069-2015</article-id><title-group><article-title>Recent trends in daily rainfall extremes over Montenegro (1951–2010)</article-title>
      </title-group><?xmltex \runningtitle{Recent trends in daily rainfall extremes}?><?xmltex \runningauthor{D.~Buri\'{c} et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Burić</surname><given-names>D.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff2">
          <name><surname>Luković</surname><given-names>J.</given-names></name>
          <email>jlukovic@gef.bg.ac.rs</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Bajat</surname><given-names>B.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Kilibarda</surname><given-names>M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Živković</surname><given-names>N.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Institute of Hydrometeorology and Seismology of Montenegro,
Podgorica, Montenegro</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>University of Belgrade, Faculty of
Geography, Belgrade, Serbia</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>University of Belgrade, Faculty of Civil Engineering, Belgrade,
Serbia</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">J. Luković (jlukovic@gef.bg.ac.rs)</corresp></author-notes><pub-date><day>16</day><month>September</month><year>2015</year></pub-date>
      
      <volume>15</volume>
      <issue>9</issue>
      <fpage>2069</fpage><lpage>2077</lpage>
      <history>
        <date date-type="received"><day>31</day><month>January</month><year>2015</year></date>
           <date date-type="rev-request"><day>10</day><month>April</month><year>2015</year></date>
           <date date-type="rev-recd"><day>28</day><month>August</month><year>2015</year></date>
           <date date-type="accepted"><day>6</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://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015.html">This article is available from https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015.html</self-uri>
<self-uri xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015.pdf</self-uri>


      <abstract>
    <p>More intense rainfall may cause a range of negative impacts upon society and
the environment. In this study we analysed trends in extreme ETCCDI (Expert
Team on Climate Change Detection and Indices) rainfall indices in Montenegro
for the period between 1951 and 2010. Montenegro has been poorly studied in
terms of rainfall extremes, yet it contains the wettest Mediterranean region
known as Krivošije. Several indices of precipitation extremes were
assessed including the number of dry days and rainfall totals in order to
identify trends and possible changes. A spatial pattern relationship between
extreme rainfall indices and the North Atlantic Oscillation has also been
examined. The results generally suggest that the number of days with
precipitation decreased while rainfall intensity increased, particularly in
south-western parts of the country. A slight tendency towards intense
rainfall events is suggested. The examined rainfall indices and North
Atlantic Oscillation over Montenegro seemed to be directly linked to changes
in one of the major large-scale circulation modes such as the NAO pattern
that is particularly evident during the winter season.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Rainfall extremes over the Mediterranean region are of
particular interest since they can have serious environmental, societal and
economic impacts. Although annual rainfall over the Mediterranean region
generally decreased during the second half of the 20th century (Raiser and
Kutiel, 2010; Trenberth et al., 2007), the frequency of heavy rainfall
generally increased (Alpert et al., 2002; Kostopoulou and Jones, 2005;
Ducić et al., 2012). These intense periods of rainfall may have serious
consequences including potential flooding, soil erosion and land degradation.
Agricultural areas are sparsely distributed in this region and such hazards
can have a significant impact on farming.</p>
      <p>The Mediterranean region itself is characterized by complex patterns of
inter-annual as well as intra-annual rainfall variability. Many authors have
therefore studied particular Mediterranean countries or stations in relation
to rainfall extremes. Rodrigo and Trigo (2007) analysed spatial patterns of
rainfall extremes at annual and seasonal scales for the whole Iberian
Peninsula (1951–2002) using 15 stations. They noticed a significant negative
trend in daily intensity rainfall at an annual level, between <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.00
and <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5.76 mm day<inline-formula><mml:math 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 was particularly pronounced in northern and southern
stations. Extreme rainfall (defined as being beyond the 95th percentile of
wet days amounts) did not reveal significant trends in most of the Iberian
Peninsula. Focusing on spatial variability of rainfall extremes in southern
Portugal, Durao et al. (2009) showed a slight decrease in rainfall between
the 1960s and the end of the 20th century. Using observations from 105
stations, they also concluded that indices of rainfall extremes (frequency
of extremely heavy precipitation events and index characterizing flood
events) have shown no significant temporal trends.</p>
      <p>A tendency towards drier conditions but also for extreme rainfall has been
identified over other regions across the Mediterranean, including Italy, the
Balkans, Cyprus and Israel. Alpert et al. (2002) found an increasing trend in
heavy-torrential categories (64–128 mm day<inline-formula><mml:math 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 Italian
Peninsula (1951–1995) and a significant decrease in weaker categories
(0–32 mm day<inline-formula><mml:math 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>). They also showed that heavy to torrent contribution
(32-up mm day<inline-formula><mml:math 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>) increased from 23 % from the total rainfall in
the 1950s to 31 % at the end of the study period. Significant percentages
of heavy rainfall events compared to total precipitation in Italy was
confirmed later by Kostopoulou and Jones (2005). The same authors described a
similar pattern for the western coasts of the Balkan Peninsula but with less
significant results. Significant results were not found in Israel and Cyprus
for the period 1951–1995 (Alpert et al., 2002). A recent study reported by
Ziv et al. (2014) on trends in rainfall regime over Israel (1975–2010)
showed a decrease in rain days in most of the stations located in wet and
semi-arid parts but also an increase in average rainfall amounts and heavy
rainfall days (&gt; 30 mm) in coastal areas (both statistically
insignificant).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Locations of the stations and elevation of Montenegro.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f01.png"/>

      </fig>

      <p>Montenegro so far has been poorly studied in terms of rainfall extremes.
Ducić et al. (2012) examined rainfall extremes in the wettest
Mediterranean region Krivošije, Montenegro and outlined their
relationship to circulation types (1951–2007). Using only two stations,
Herceg Novi and Crkvice, their analyses of rainfall extreme indices showed
that very extreme precipitation events significantly increased by 1.8 %
(95 % confidence level) annually despite having significant decreases (99 % confidence level) in the number of wet days (3.59 days annually for
Crkvice and 2.97 days for Herceg Novi).</p>
      <p>The aim of this study is to investigate trends in rainfall extreme indices
over Montenegro and to better depict their spatial patterns using web
mapping techniques. Following the study by Burić et al. (2011) that
postulated a link between the North Atlantic Oscillation (NAO) and rainfall
over Montenegro, here we quantify the influence of the NAO on rainfall
extreme indices.</p>
      <p>In order to approach these research questions, this paper examines annual
and seasonal trends in rainfall extreme indices in Montenegro during the
period between 1951 and 2010. Introductory explanations including previous
investigations are given in Sect. 1. A detailed description of the study
area is given in Sect. 2. Data sets and a description of methodology are
presented in Sect. 3. Results and a discussion are given in Sect. 4, and
concluding remarks in Sect. 5.</p>
</sec>
<sec id="Ch1.S2">
  <title>Study area</title>
      <p>The study area comprises Montenegro, which covers nearly 3 % of the
Balkan Peninsula with an area of 13.812 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>. It has diverse topography
including a narrow Adriatic coastline that stretches along the south-western
part, the karst region in the central parts and the high Dinaric Mountains
(above 2000 m) in the northern parts of the country (Fig. 1). The coastal
region is characterized by a typical Mediterranean climate while a
moderate-continental climate is present in the northern parts. The average
annual rainfall ranges from about 800 mm in the northeast (Fig. 2) to above
4000 mm in the mountainous areas in the west, which is the wettest part of
the Mediterranean region (Ducić et al., 2012). The Crkvice meteorological
station located on the south-eastern slope of the Orijen Mountain presents
the highest average annual rainfall extreme (4593 mm in the baseline period
1960–1990) found in Europe
(<uri>http://www.ncdc.noaa.gov/oa/climate/globalextremes. html</uri>). Such high annual
rainfall is mostly due to orographic uplift (Radovanović et al., 2008).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Isohyet map of Montenegro.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f02.png"/>

      </fig>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3">
  <title>Data and methodology</title>
<sec id="Ch1.S3.SS1">
  <title>Data</title>
      <p>The rainfall data include daily totals from 23 meteorological stations in
Montenegro (1951–2010) provided by the Hydro-Meteorological Service of
Montenegro. Metadata are quality controlled in terms of correction of
misprints and relocation of the stations (WMO, 2004). There were no missing
data.</p>
      <p>Data homogeneity is a basic requirement when assessing changes in rainfall
extremes. However, an advanced method for analysing daily rainfall data
homogeneity has not been developed yet (Toreti et al., 2010). In this study,
data are carefully evaluated by applying a multiple analysis of series for
homogenization (MASH v3.02) method. The MASH method was developed in the
Hungarian Meteorological Service (Szentimrey, 1994, 1999, 2003); it is a
relative homogeneity test that does not presume that the reference series
are homogeneous (Costa and Soares, 2009). In this study, a version of
MASHv3.02 extended for homogenization of daily rainfall data has been used.
Portions of the time series with inhomogeneities were excluded from the
analysis.</p>
      <p>An Expert Team on Climate Change Detection and Indices (ETCCDI), supported
by the World Meteorological Organization (WMO) Commission for Climatology,
the Joint Commission for Oceanography and Marine Meteorology (JCOMM) and the
Research Program on Climate Variability and Predictability (CLIVAR)
developed the list of precipitation indices used in this study. We selected
a set of five indices of rainfall extremes (Table 1) including the number of
dry days and rainfall totals. The number of dry days used in this manuscript
is defined as a total number of days with less than 1 mm of rainfall
including days without rainfall within the given period. Indices are defined
in terms of the numbers of days that exceed either an absolute or percentile
threshold. Percentile-based indices allow spatial comparisons, as they
sample the same part of the probability distribution of rainfall at each
location. Day-count indices based on absolute thresholds are less suitable
for spatial comparisons of extremes. The reason is that, over large areas,
day-count indices based on absolute thresholds may sample very different
parts of rainfall distributions (Peterson et al., 2001; Klein-Tank and
Konnen, 2003; Vincent and Mekis, 2006; Gajić-Čapka, 2009; WMO, 2009;
Caesar et al,. 2011).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Definitions and abbreviations of the ETCCDI indices of
precipitation extremes used in this study.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="256.074803pt"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Index</oasis:entry>  
         <oasis:entry colname="col2">Definition</oasis:entry>  
         <oasis:entry colname="col3">Units</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">SDII</oasis:entry>  
         <oasis:entry colname="col2">Simple Daily Precipitation Intensity Index (Annual total/Number of days with precipitation <inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 1 mm day<inline-formula><mml:math 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>)</oasis:entry>  
         <oasis:entry colname="col3">mm dec<inline-formula><mml:math 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></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">R20 mm</oasis:entry>  
         <oasis:entry colname="col2">Number of days with heavy precipitation amount above 20 mm</oasis:entry>  
         <oasis:entry colname="col3">Days dec<inline-formula><mml:math 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></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">R75p</oasis:entry>  
         <oasis:entry colname="col2">Number of days with precipitation amount above a site specific threshold value for moderate days, calculated as the 75th (R75%) percentile of the distribution of daily precipitation amounts at days with Rd <inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 1 mm in the 1961–90 baseline period.</oasis:entry>  
         <oasis:entry colname="col3">Days</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">R95p</oasis:entry>  
         <oasis:entry colname="col2">Number of days with precipitation amount above a site specific threshold value for very wet days, calculated as the 95th (R95%) percentile of the distribution of daily precipitation mounts at days with Rd <inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 1 mm in the 1961–90 baseline period</oasis:entry>  
         <oasis:entry colname="col3">Days</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">R95pTOT</oasis:entry>  
         <oasis:entry colname="col2">Fraction of annual total precipitation due to events exceeding the 1961–1990 95th percentile</oasis:entry>  
         <oasis:entry colname="col3">%</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p>Definitions including formulas are available from ETCCDI website
<uri>http://cccma.seos.uvic.ca/ETCCDI/</uri>.</p></table-wrap-foot></table-wrap>

      <p>As a proxy for the North Atlantic Oscillation, we use the NAO as the
standardized atmospheric pressure between Ponta Delgada (Azores) and
Akureyri (Iceland).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Methodology</title>
      <p>Percentile thresholds are determined empirically from the observed data
series in the standard period of 1961–1990. The procedure ensures that
extreme rainfall events can occur with equal probability throughout the year
(WMO, 2009).</p>
      <p>The statistical significance of the calculated trends of the indices was
tested using a Mann–Kendall test. This method has been applied because it
is more suitable for nonparametric distributions. The Mann–Kendall test is
used for trend analysis in ETCCDI workshops (Zhang et al., 2005). Sen's
(1968) slope estimator was used for estimating trends within the indices.
This is a more robust approach for the estimation of trends within the
indices based on daily data (Salmi et al., 2002; Olofintoye and Sule, 2010;
Šumenjak and Šuster, 2011; Mondal et al., 2012). Since the average
annual rainfall in Montenegro varies a great deal from about 800 mm to above
4000 mm, rainfall trend for mean rainfall, SDII and R95TOT is given in
percentage per decade (% dec<inline-formula><mml:math 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>) using Normal 1961–1990.</p>
      <p>Depending on the data distribution, either the parametric or nonparametric
method may be used for correlation detection. In general, the nonparametric
methods, e.g. Kendall's Tau Test, perform better relative to their
parametric counterparts for abnormal distributions. However, due to the fact
that a preliminary analysis did not show the general presence of a skewed
distribution in our precipitation time series, the standard Pearson
product-moment correlation coefficient has been applied.</p>
      <p>We used a plotGoogleMaps (Kilibarda and Bajat, 2012) <inline-formula><mml:math display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> software package in order to obtain
better insight into the spatial distribution of calculated daily rainfall
extremes trends as well as their correlations to NAO over Montenegro. All
maps depicting annual and seasonal values of daily rainfall extremes trends
as well as correlations between rainfall extreme indices and NAO are
available as interactive maps in HTML format at the web page <uri>http://osgl.grf.bg.ac.rs/materials/mne</uri>.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Results and discussion</title>
      <p>In order to analyse extreme rainfall in Montenegro, five indices have been
chosen. The analysis was performed for each of them at annual and seasonal
scales. To better visualize their spatial pattern, trends of indices are
depicted by bar graphs using different colours for annual and seasonal scales
(Figs. 3–9). Statistically significant trends at the 95 % confidence level
are outlined by black lines.</p>
      <p>The annual rainfall trend in Montenegro tends to decrease in south-western
parts of the country mostly insignificantly (Fig. 3) since the only two
stations (Budva <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3.6 % decade<inline-formula><mml:math 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 Krstac <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.8 % decade<inline-formula><mml:math 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>)
showed a significant decrease. The winter significant decrease (between <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4.8 and <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6.6 % decade<inline-formula><mml:math 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>)
is detected in the same parts of the country, suggesting a
slight tendency towards drier conditions. Those are mainly stations near the
Mediterranean coast of the country. In contrast, the northern parts showed
positive annual rainfall trends that are also significant at two stations.
The autumn season revealed positive trends dominating all over the
territory. A similar pattern with winter and spring decrease, and autumn
increase in rainfall was found by Luković et al. (2013) in their
rainfall trend analysis for Serbia. On the other hand, Krichak and Alpert
(2005) found a rainfall decrease over the Eastern Mediterranean, which could
be explained by the positive trend in the East Atlantic Western Russia
(EAWR) pattern.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Decadal trends in the annual and seasonal mean precipitation (RR) in
% dec<inline-formula><mml:math 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>.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f03.jpg"/>

      </fig>

      <p>Drier conditions are confirmed by the number of dry days (DD) showing
statistically significant increases at 13 stations (between 2.1 and 5 days decade<inline-formula><mml:math 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>) at annual scales (Fig. 4) that are mainly distributed in the SW
parts of Montenegro. Similar results are found for the winter season as
well. Pronounced positive trends are found in coastal and central parts of
Montenegro, highlighting the fact that Mediterranean areas may experience
future drought conditions (Brandt and Thornes, 1996). Other seasons showed
low statistical significance and spatial coherence.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Decadal trends in the annual and seasonal number of dry days (DD) in
days dec<inline-formula><mml:math 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>.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f04.jpg"/>

      </fig>

      <p>On the other hand, the simple daily precipitation intensity index (SDII)
revealed annual and seasonal increases (Fig. 5) that were particularly
pronounced in SW parts of Montenegro during the spring season (between 3.3
and 6.9 % dec<inline-formula><mml:math 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>). Kostopoulou and Jones (2005) obtained similar results for
Italian stations at annual and winter scales. When comparing the results
found for Italian stations, there is a lag of one season in Montenegro,
pointing out that the strongest increase of SDII in Montenegro is during
spring.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Decadal trends in the annual and seasonal Simple Daily Precipitation
Index (SDII) in % dec<inline-formula><mml:math 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>.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f05.jpg"/>

      </fig>

      <p>Trends for Montenegro in number of days with rainfall above the 75th
percentile (R75p) revealed mostly negative annual values that are spread in
southern and western parts of the country, with four stations being
statistically significant (Fig. 6). Positive annual trends are distributed
in northern and eastern areas. Results on the seasonal scale did not reveal a
strong change for R75p. However, an exception arose in the summer season,
showing an increase in R75p at all examined stations. However, none of these
stations showed statistically significant results. On the other hand, days
with rainfall events higher than the 95th percentile (R95p) also show
positive trends at the annual scale mainly in central parts of Montenegro
that are statistically significant at seven stations. The winter season also
revealed a positive trend that was significant at four stations concentrated
in the same areas as the annual ones.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p>Decadal trends in the annual and seasonal rainfall above 75th
percentile (R75p) in day dec<inline-formula><mml:math 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>.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f06.jpg"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>Decadal trends in the annual and seasonal rainfall above 95th
percentile (R95p) in day dec<inline-formula><mml:math 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>.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f07.jpg"/>

      </fig>

      <p>Similar results are found for index R95pTOT, which is a measure of very
extreme precipitation events. It showed a statistically significant positive
trend at an annual scale for nine stations in Montenegro (Fig. 8). On the
other hand, the summer season revealed almost half of the stations with
negative trends, but were poorly significant. Kostopoulou and Jones (2005)
found similar results for the Balkan Peninsula in their study. Analysis on
the seasonal scale shows that the trends are mostly weak and less
significant. However, they noticed a difference between western and eastern
parts of the country for the spring season, presenting opposite trends.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p>Decadal trends in the annual and seasonal precipitation fraction due
to very wet days (R95TOT) in % dec<inline-formula><mml:math 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>.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f08.jpg"/>

      </fig>

      <p>Extreme rainfall increased in many parts of the world (IPCC, 2013). In
Montenegro, the number of days with heavy rainfall (<inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 20 mm) decreased
in the south-western parts while increases were detected in north-eastern
parts of the country (Fig. 9). Results in this paper showed that stations in
the Mediterranean parts of the country, which receive high annual totals,
are indicating negative trends. On the other hand, northern stations with
less rainfall totals are indicating positive trends.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><caption><p>Decadal trends in the annual and seasonal number of days with heavy
precipitation (R20mm) in days dec<inline-formula><mml:math 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>.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f09.jpg"/>

      </fig>

      <p>All stations showed statistically significant negative correlations between
rainfall amounts and NAO at the annual level and during the winter season
(Fig. 10). During the autumn season, the majority of stations also showed
statistically significant negative correlations. Many studies that analyse
NAO impact show higher correlations in winter (Caloiero et al., 2011) and
therefore we concentrated mainly on this season (Fearari et al., 2013). This
control exerted by NAO on the rainfall during winter is related to
corresponding changes in the North Atlantic storm track that affect most of
western Europe (Osborn et al., 1999; Goodess and Jones, 2002) and the Eastern
Mediterranean such as in Turkey (Türkeş and Erlat, 2005). None of
the stations investigated provided significant correlations for spring and
summer rainfall.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><caption><p>Mapped correlation between annual and seasonal mean precipitation
(RR) and NAO index.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f10.jpg"/>

      </fig>

      <p>The number of dry days (DD) showed significant positive correlations with
NAO in all stations at annual and winter levels (Fig. 11). The autumn season
also suggested significant positive correlations. Krichak and Alpert (2005)
found for the Mediterranean region that NAO-positive periods are wetter than
normal weather over western Europe but drier than normal weather in the
Mediterranean. Positive correlations between DD and NAO for Montenegro
certainly confirms these assertions.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><caption><p>Mapped correlation between annual and seasonal DD and NAO index.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/15/2069/2015/nhess-15-2069-2015-f11.jpg"/>

      </fig>

      <p><?xmltex \hack{\newpage}?>Simple daily precipitation intensity index (SDII) showed negative annual and
winter five correlations mainly concentrated in central and eastern parts of the
country. A very similar pattern is noticed in R95p. On the other hand, a
quite similar distribution with significant negative correlations at the
annual scale as well as during winter and the autumn season is noticed in R75p
and R20 mm indices. The index R95pTOT did not reveal any specific spatial
pattern apart from a significant negative correlation in the winter season.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions</title>
      <p>In this paper we have studied trends in indices of rainfall extremes in
Montenegro as well as their relation to North Atlantic Oscillation for the
period between 1951–2010 using observations from 23 stations. This research
was focused on the spatial pattern analysis of rainfall extreme indices
using web-mapping tools.</p>
      <p>The results suggested a dominant decrease in annual rainfall amounts
followed by an increase in the number of dry days. Tendencies towards drier
conditions are mainly pronounced in the south-western parts of the country.
Despite the suggested drier conditions, precipitation intensity increased
all over the country. Very extreme precipitation events indicated a
particular increase in the south-western parts of the country. Such
increasing tendencies of precipitation intensity on wet days in the
Mediterranean part of Montenegro are suggested in IPCC (2013) reports under
the scenarios of future climate change.</p>
      <p>A spatial pattern of trend in extreme rainfall indices suggested opposite
tendencies in south-western (central and coastal areas) and north-eastern
parts of Montenegro (mountains). While implicating more extreme but
generally drier conditions in SW parts, the eastern parts showed a slight
tendency towards wetter conditions. Apart from these two opposite trends
shown between the two described areas of Montenegro, they are also
characterized by different rainfall regimes. The south-western parts of the
country experience a Mediterranean climate while the north-eastern parts
have a continental climate. For that reason, Kutiel et al. (2014) included
north-eastern Montenegrin stations into the analysis of Serbian stations
while also analysing rainfall regime and its uncertainty in Serbia and
Montenegro.</p>
      <p>The results for the relationship between extreme rainfall indices and North
Atlantic Oscillation over Montenegro during the investigated period seemed
to be directly linked to changes in one of the major large-scale circulation
modes such as NAO pattern, particularly during the winter season. This is
the reason why some studies are mainly focused only on the winter part of
the year (Ferrari et al., 2013) and sometimes include March (Trigo et al.,
2002). That is also why some authors use a wet season concept between
October and March in their analysis (Xoplaki et al., 2004).</p>
      <p>Obtaining detailed rainfall analysis is of particular importance, especially
taking into account the recent floods in 2010, 2012, and 2013 in Montenegro
that caused serious damage (Burić et al., 2013, 2014).</p>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/nhess-15-2069-2015-supplement" xlink:title="pdf">doi:10.5194/nhess-15-2069-2015-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><ack><title>Acknowledgements</title><p>This paper was realized as a part of the project “Studying climate change
and its influence on the environment: impacts, adaptation and mitigation”
(III 43007) financed by the Ministry of Education and Science of the
Republic of Serbia within the framework of integrated and interdisciplinary
research for the period 2011–2014. The study was also supported under grants
No. III 47014, and TR 36035.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>Edited by: H. Saaroni</p></ack><ref-list>
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