In her doctoral thesis, Pulkkinen also
discusses model uncertainty (structural uncertainty), which results from the fact that the phenomenon being researched can be explained with several — even contradicting — theories.
Not exact matches
A recent study in the Journal of Environmental Management carried out by researchers at the European Forest Institute and their partners in the FP7 funded MOTIVE project (
Models for Adaptive Forest Management)
discusses how forest managers and decision makers can cope with climate
uncertainties.
While these DCF
models are commonly used, the
uncertainty in these values is hardly ever
discussed.
The main reason for this is the degree of
uncertainties involved in regional climate
modelling, as
discussed in a previous post.
Analyses of tide gauge and altimetry data by Vinogradov and Ponte (2011), which indicated the presence of considerably small spatial scale variability in annual mean sea level over many coastal regions, are an important factor for understanding the
uncertainties in regional sea - level simulations and projections at sub-decadal time scales in coarse - resolution climate
models that are also
discussed in Chapter 13.
We'd
discussed a wide range of
uncertainties and ambiguities, from future emissions scenarios to
model uncertainty to perception and communication issues, and we were asked to comment on how, with so much
uncertainty, economists can make useful recommendations.
We then review recently developed millennial - scale spherical harmonic geomagnetic field
models and compare their dipole predictions to virtual axial dipole and virtual geomagnetic pole (VGP) reconstructions,
discussing uncertainties in absolute values and variations.