Professor Marc Genton and former postdoctoral fellow win the 2017 Wilcoxon Award
KAUST · · Notable
Summary
KAUST Professor Marc Genton and his former postdoc Stefano Castruccio jointly won the 2017 Wilcoxon Award for their paper in Technometrics. Their paper, "Compressing an ensemble with statistical models: An algorithm for global 3D spatio-temporal temperature," details a data-compression scheme for climate simulations. The method reduces data-storage requirements and accelerates climate research capacity. Why it matters: This award highlights KAUST's contribution to statistical methods for climate modeling and big data analysis, particularly relevant for studying renewable energy resources in Saudi Arabia.
Keywords
KAUST · Wilcoxon Award · climate modeling · data compression · spatio-temporal statistics
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