US CLIVAR Ocean Uncertainty Quantification Summer School

Data characterizing the ocean are inherently estimates and are therefore uncertain. This is true of all in situ and remotely sensed observations—of, say, sea surface temperature or sea level—as well as of outputs and forecasts from numerical models and of analysis products resulting from the synthesis of observations and models. Hence, in oceanography, the goal is not to eliminate uncertainty in data, but instead to better quantify and clearly communicate its size and nature.

Participants in this summer school program will delve into the challenges of estimating the uncertainties of ocean and climate data.