Overcoming the Challenges of Ocean Data Uncertainty
January 1, 2022·,
,·
1 min read
Shane Elipot
Kyla Drushka
Aneesh Subramanian
Mike Patterson
Abstract
In oceanography, as in any scientific field, the goal is not to eliminate uncertainty in data, but instead to better quantify and clearly communicate its size and nature.
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Eos
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Authors
Authors
Authors
Aneesh Subramanian
(he/him)
Associate Professor
Associate Professor in the Department of Atmospheric and Oceanic Sciences at CU Boulder. Research spans weather and climate prediction, subseasonal-to-seasonal forecasting, atmospheric river dynamics, machine learning for Earth system modeling, and data assimilation in coupled ocean-atmosphere systems.
Authors