Trends of Dust Transport Episodes in Cyprus Using a Classification of Synoptic Types Established with Artificial Neural Networks

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="280248.fig.006a" src="https://static.hindawi.com/articles/jcli/volume-2013/280248/figures/280248.fig.006a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Class 31</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="280248.fig.006b" src="https://static.hindawi.com/articles/jcli/volume-2013/280248/figures/280248.fig.006b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Class 1</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="280248.fig.006c" src="https://static.hindawi.com/articles/jcli/volume-2013/280248/figures/280248.fig.006c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Class 11</td></tr></table></td></tr></table>

<table>The time evolution of classes 31 (a), 1 (b), and 11 (c) in the 25-year period (1980–2005).</table>

Journal of Climatology

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Figure 6

Figure 6: Trends of Dust Transport Episodes in Cyprus Using a Classification of Synoptic Types Established with Artificial Neural Networks 