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## Uncertainty Analysis in Geophysical Inverse Problems |

Recent
advances in computational science and applied mathematics enable us today to
solve large-scale realistic inverse problems in the Earth sciences. These
include weather and climate forecasting, the imaging of Earth’s internal
structure using seismic and electromagnetic methods, the prediction of the
seasonal variability in ocean currents, and the estimation of flow patterns in
the Earth’s mantle and outer core. The
finite amount of data, the presence of noise and incomplete forward models
introduce uncertainties in the inverse problem solutions that are often not
properly quantified due to limited computational resources. This is despite the
undisputed social and economic relevance of uncertainty assessment, for
instance in the context of geophysical exploration or the prediction of extreme
local weather conditions. The
principal objectives of the workshop are as follows:
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