Students Explore Challenges of Estimating Uncertainty in Ocean and Climate Data

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Graduate students and scientists specializing in oceanographic, climate, and statistical sciences gathered for a weeklong summer school program designed to teach best practices for understanding, deriving, and communicating the uncertainties involved in gathering and analyzing ocean and climate data.

Graduate students and scientists specializing in oceanographic, climate, and statistical sciences gathered for a weeklong summer school program designed to teach best practices for understanding, deriving, and communicating the uncertainties involved in gathering and analyzing ocean and climate data.

Hosted by the University of Miami Rosenstiel School of Marine, Atmospheric, and Earth Science, the five-day session covered topics related to the fundamental nature of ocean data, the specialized statistical tools for analyzing the data, and the uncertainties in ocean and climate predictions.

Through a combination of lectures, hands-on computer-based tutorials, and social events, the program brought together a diverse group of students and fostered a collaborative and engaging learning environment on a topic that is not generally taught in graduate schools.

Read More: University of Miami - Rosenstiel School

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