Propagation of input parameter uncertainties in transport models
Sign Up to like & getrecommendations! Published in 2018 at "Physics of Plasmas"
DOI: 10.1063/1.5053906
Abstract: The many sources of uncertainty in validation studies of plasma turbulence in magnetically confined fusion devices are well-known. In this paper, we investigate how to efficiently transform uncertainties in experimentally derived transport model inputs into… read more here.
Keywords: input parameter; transport; model; transport model ... See more keywords
DLA-VPS: Deep-Learning-Assisted Visual Parameter Space Analysis of Cosmological Simulations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Computer Graphics and Applications"
DOI: 10.1109/mcg.2022.3169554
Abstract: Cosmologists often build a mathematics simulation model to study the observed universe. However, running a high-fidelity simulation is time consuming and thus can inconvenience the analysis. This is especially so when the analysis involves trying… read more here.
Keywords: parameter space; input parameter; analysis; simulation ... See more keywords
Exploring implications of input parameter uncertainties in glacial lake outburst flood (GLOF) modelling results using the modelling code r.avaflow
Sign Up to like & getrecommendations! Published in 2025 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-25-1841-2025
Abstract: Abstract. Modelling complex mass flow processes, such as glacial lake outburst floods (GLOFs), for hazard and risk assessments requires extensive data and computational resources. Researchers often rely on low-resolution, open-access datasets and parameters derived from… read more here.
Keywords: parameter uncertainties; glof modelling; lake outburst; glof ... See more keywords