Search Results - UNCERTAINTY MODELLING

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    Uncertainty Modelling of Groundwater-Dependent Vegetation by Todd P. Robinson, Lewis Trotter, Grant W. Wardell-Johnson

    Published in Land (2024-12-01)
    “…The phenometrics and preferential habitat models were combined using a framework that allows for the expression of different levels of uncertainty. …”
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    Climate model uncertainty versus conceptual geological uncertainty in hydrological modeling by T. O. Sonnenborg, D. Seifert, J. C. Refsgaard

    Published in Hydrology and Earth System Sciences (2015-09-01)
    “…Projections of climate change impact are associated with a cascade of uncertainties including in CO<sub>2</sub> emission scenarios, climate models, downscaling and impact models. …”
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    Data assimilation techniques and modelling uncertainty in geosciences by M. Darvishi, G. Ahmadi

    “…Data assimilation (DA) methods are powerful tools to combine observations and a numerical model. Actually, DA is an interaction between uncertainty analysis, physical modelling and mathematical algorithms. …”
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    Uncertainty Modelling in Metamodels for Fire Risk Analysis by Florian Berchtold, Lukas Arnold, Christian Knaust, Sebastian Thöns

    Published in Safety (2021-06-01)
    “…The inherent uncertainty is modelled with an original approach, directly using all replications of evacuation scenarios without the assumption of a specific probability distribution. …”
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    Lightning and convection parameterisations ─ uncertainties in global modelling by J. Lelieveld, P. Jöckel, H. Tost

    Published in Atmospheric Chemistry and Physics (2007-09-01)
    “…The simulation of convection, lightning and consequent NO<sub>x</sub> emissions with global atmospheric chemistry models is associated with large uncertainties since these processes are heavily parameterised. …”
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    Humans adapt rationally to approximate estimates of uncertainty by Erdem Pulcu, Michael Browning

    Published in eLife (2025-07-01)
    “…Efficient learning requires estimation of, and adaptation to, different forms of uncertainty. If uncertainty is caused by randomness in outcomes (noise), observed events should have less influence on beliefs, whereas if uncertainty is caused by a change in the process being estimated (volatility) the influence of events should increase. …”
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