Common Uncertainty Research Explorer Uncertainty Estimation in Geological 3D Modelling

Uncertainty in 3D Shape Estimation

This paper analyses the uncertainty in the estimation of shape from different cues, specifically motion, stereo, and texture. It is shown that there are computational limitations of a statistical nature that previously have not been recognized. Because there is noise in all the input parameters, we cannot avoid bias. The analysis of shape from multiple views rests on a new constraint which rela...

Uncertainty in Hydrologic Modelling for PMF Estimation

Most models will attempt to extract losses (interception, surface storage, infiltration) from the input and build a runoff hydrograph using empirical curves or by routing the excess water. Even the simplest models generally involve many parameters to describe these processes. Some parameters are estimated from published values, and others are set based on past practice and calibration of the mo...

Climate model uncertainty versus conceptual geological uncertainty in hydrological modeling

Projections of climate change impact are associated with a cascade of uncertainties including in CO2 emission scenarios, climate models, downscaling and impact models. The relative importance of the individual uncertainty sources is expected to depend on several factors including the quantity that is projected. In the present study the impacts of climate model uncertainty and geological model u...

Modelling collocation uncertainty of 3D atmospheric profiles

Atmospheric thermodynamic data are gathered by high technology remote instruments such as radiosondes, giving rise to profiles that are usually modelled as functions depending only on height. The radiosonde balloons, however, drift away in the atmosphere resulting in not necessarily vertical but threedimensional (3D) trajectories. To model this kind of functional data, we introduce a “point bas...

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