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<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">Hello Everyone,<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">Please join us for a talk<b>
</b>this<b> Today, Thursday. Sept. 20 </b>by Dr. Mahesh L. Maskey, 12-1pm in Room SE2-302.<u></u><u></u></span></p>
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<p style="margin:0in;margin-bottom:.0001pt"><b><span style="font-size:12.0pt;color:black">Talk Title: </span></b><span style="font-size:12.0pt;color:black"><u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:black">Geometric modelling of Hydroclimate attributes coupled with data mining techniques <u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black"><img width="208" height="185" style="width:2.1666in;height:1.927in" id="m_6267484577601412810Picture_x0020_1" src="cid:165f7fc98fc7745b42"></span><span style="font-size:12.0pt;color:black"><u></u><u></u></span></p>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;color:black">Abstract: </span></b><span style="font-size:12.0pt;color:black"><u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:black">A deterministic geometric procedure, called the fractal-multifractal (FM) method, which produce a wide range of interesting patterns over one dimension, defined as fractal transformations of multifractal
measures -as found in the study of turbulence-, is explained. This research explores how complex natural phenomena can be modeled via such a novel fractal geometric approach, which produces the intricate geometries of diverse geophysical data sets. Throughout
the research, different variants of the FM notions are used to: (a) encode, (b) simulate, and (c) downscale key signatures of the hydroclimate attributes. First, this talk concentrates on encoding, simulating and downscaling highly intricate daily rainfall
sets gathered over a year and then presents the complexity of rainfall geometry over the space and time. Likewise, modelling of mildly intermittent sets, like streamflow and temperature records, is discussed aiming to produce reasonable forecasts of such quantities
one year ahead. For such a task, generic neural networks are trained on the past information for individual geometric parameters. To conclude, the FM method brings forth a novel approach to study the complexity of hydrological processes, one that, by not requiring
statistical assumptions whatsoever, ultimately provides a compact language to describe natural patterns. The encouraging results, presented here, suggest that the FM notions may be used as practical tools for proper natural resource management and an alternative
tool for the study of climate change.<u></u><u></u></span></p>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;color:black">Bio:</span></b><span style="font-size:12.0pt;color:black"><u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:black">Mahesh L. Maskey is a postdoctoral fellow at University of California, Davis. During his doctoral research, he explored the usage of fractal geometric models to study hydrological processes. His
study mainly focused on the possibility of using geometric notions for encoding, simulating, downscaling, classifying and predicting key geophysical (hydro-meteorological) records. He expects that the ideas may become a new and useful language for understanding
natural sets beyond hydrological attributes. He wants to expand the applicability of geometric modelling in natural resource management and climate change studies. Currently, he is exploring proper acquisition and dissemination of bio-climatic data from ground
based, remotely sensed and different climate models.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">When: Sept. 20, Thursday, 12pm – 1pm<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">Where: SE2-302<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">Coffee will be provided, please bring your own mugs.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">We look forward to seeing you,<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">Nate & Jing<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">Organizers for Fall 2018: Nate Bogie and Jing Yan<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:9.5pt;font-family:"Arial",sans-serif">Faculty coordinator: Asmeret Asefaw Berhe<u></u><u></u></span></p>
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