Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/amete/volume-2015/195940/figures/195940.fig.003a.svgz" name="195940.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Precipitation</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/amete/volume-2015/195940/figures/195940.fig.003b.svgz" name="195940.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Air temperature</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/amete/volume-2015/195940/figures/195940.fig.003c.svgz" name="195940.fig.003c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Discharge</td></tr><tr class="fig-image" id="d"><td><object data="https://static.hindawi.com/articles/amete/volume-2015/195940/figures/195940.fig.003d.svgz" name="195940.fig.003d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>Storage volume</td></tr></table>

<div>Extraction of the representative time series using the wavelet transform (left: the wavelet power spectrum, center: the global wavelet power spectrum, and right: the extracted time series about the period of approximately 1 year).</div>

Advances in Meteorology

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Figure 3

Figure 3: Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes 