Authors: Francesca Samsel, Gregory Abram, and Stephanie Zeller (University of Texas, Texas Advanced Computing Center (TACC)); Zhendong Cao (University of Delaware); Phillip Wolfram (Los Alamos National Laboratory (LANL)); and Bridger Herman and Daniel Keefe (University of Minnesota)
Abstract: Marine macroalgae in the Gulf of Mexico is an important potential source for biofuel. However, identifying locations with the correct biogeochemical and hydrodynamic conditions for cultivation on a large enough scale to meet the needs of the U.S. private energy sector is impossible from purely observational studies. Large-scale, HPC modeling of earth systems processes enables researchers to study complex physical relationships with high fidelity. Here, we present novel visualization techniques showing the results of a global run of the E3SM's MPAS-Ocean model data with biogeochemistry extensions to improve ongoing research in macroalgae cultivation.
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