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High-Performance Computing For Drought Prediction, Henry Cooney
High-Performance Computing For Drought Prediction, Henry Cooney
Undergraduate Research & Mentoring Program
In recent decades, there has been considerable interest in using satellite soil moisture data to examine the global water-energy cycle and manage water resources. Current satellites are limited in their sensing depth, and can only directly measure top soil layers. Using a particle filter, this data may be fused with the output of a hydrologic simulation to improve simulation results, and characterize a hydrologic system at the watershed level. However, this approach increases computational requirements dramatically, and requires rethinking to accommodate data scaling and achieve good performance.
We present a detailed performance study of several alternative implementations of the hybrid …