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            <idno type="halRefHtml">&lt;i&gt;Journal of Hydrology&lt;/i&gt;, 2016, 541 (part A), pp.38-49. &lt;a target="_blank" href="https://dx.doi.org/10.1016/j.jhydrol.2016.07.002"&gt;&amp;#x27E8;10.1016/j.jhydrol.2016.07.002&amp;#x27E9;&lt;/a&gt;</idno>
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                <term xml:lang="en"> IDAF</term>
                <term xml:lang="en">IDF curves</term>
                <term xml:lang="en"> PWM</term>
                <term xml:lang="en"> Regionalization</term>
                <term xml:lang="en"> Simple scale invariance</term>
                <term xml:lang="en"> Gumbel distribution</term>
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              <p>Usually, networks of daily rainfall raingauges have a higher spatial cover than tippet bucket raingauges networks. Consequently, it would be of high interest to make use of daily rainfall information to asses IDF curves for unobserved locations. The present work proposes achieving this goal by using the assumption of simple scaling invariance. Indeed, series observed over sufficiently long periods for 10 tippet bucket raingauge, allowed us to test the hypothesis of simple scaling of annual maximum rainfall intensities in northern Tunisia. This assumption, combined with Gumbel model of maximum rainfall intensities allowed us to develop a methodology to estimate IDF curves from the daily rainfall totals. In fact, a regionalization formula which involves the percentile 90% of the annual maximum daily rainfall was developed and validated. This regionalization formula applied to daily data of 25 rainfall stations in the sub area of Tunis region, combined with the assumption of simple scaling has enabled us to develop Intensity Duration Area Frequency (IDAF) curves for Tunis area.</p>
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