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Portland State University

Student Research Symposium

2017

Droughts -- Prediction -- Data processing

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Performance Analysis Of Droughthpc, Yasodhadevi Nachimuthu May 2017

Performance Analysis Of Droughthpc, Yasodhadevi Nachimuthu

Student Research Symposium

We present our performance analysis of DroughtHPC, a software application being developed by an interdisciplinary effort lead by Dr.Moradkhani in the Civil Engineering department, Dr. Daescu in the Math Department, and Dr. Karavanic in the Computer Science Department.

The DroughtHPC application is used to predict drought conditions for a target geographical area. The data used in the prediction are soil conditions, vegetation layers, canopy cover, snow accumulation information from satellites, and meteorological data. DroughtHPC is written in Python and uses two hydrologic models, PRMS [1] and VIC [2], to simulate soil moisture levels. A larger geographical area such as the …