[Enviro-lunch] TODAY! 12pm: Dr. Mahesh L. Maskey

[Nathaniel Bogie]

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Hello Everyone,
Please join us for a talk this Today, Thursday. Sept. 20 by Dr. Mahesh L. Maskey, 12-1pm in Room SE2-302.


Talk Title:
Geometric modelling of Hydroclimate attributes coupled with data mining techniques

[cid:165f7fc98fc7745b42]

Abstract:
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.

Bio:
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.


When: Sept. 20, Thursday, 12pm – 1pm

Where: SE2-302

Coffee will be provided, please bring your own mugs.

We look forward to seeing you,

Nate & Jing

Organizers for Fall 2018: Nate Bogie and Jing Yan
Faculty coordinator: Asmeret Asefaw Berhe

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