“…Under real operational conditions many of these governing parameters are not known exactly (e.g. Bitner-Gregersen and Hagen [2] and Bitner-Gregersen et al [3]). Instead, the parameters may be specified with uncertainty, so that the specific parameter is described by a random variable with a given probability density function.…”
Section: Uncertainty Modelling Of Stochastic Parametersmentioning
confidence: 99%
“…It is important to stress that the uncertainty modelling should both seek to describe the kind of uncertainties -aleatory (natural and physical) and/or epistemic (knowledge) -and to quantify the uncertainties in question (Bitner-Gregersen and Hagen [2] and Skjong et al [50]). The details of the computational procedures to evaluate, say, mean outcrossing rates of Gaussian and non-Gaussian processes, including uncertainty modelling, will not be outlined here.…”
Section: Uncertainty Modelling Of Stochastic Parametersmentioning
“…Under real operational conditions many of these governing parameters are not known exactly (e.g. Bitner-Gregersen and Hagen [2] and Bitner-Gregersen et al [3]). Instead, the parameters may be specified with uncertainty, so that the specific parameter is described by a random variable with a given probability density function.…”
Section: Uncertainty Modelling Of Stochastic Parametersmentioning
confidence: 99%
“…It is important to stress that the uncertainty modelling should both seek to describe the kind of uncertainties -aleatory (natural and physical) and/or epistemic (knowledge) -and to quantify the uncertainties in question (Bitner-Gregersen and Hagen [2] and Skjong et al [50]). The details of the computational procedures to evaluate, say, mean outcrossing rates of Gaussian and non-Gaussian processes, including uncertainty modelling, will not be outlined here.…”
Section: Uncertainty Modelling Of Stochastic Parametersmentioning
“…This uncertainty may be classified into: data uncertainty, statistical uncertainty, model uncertainty and climatic uncertainty as proposed by Bitner-Gregersen and Hagen [33] (see also [34]). Data uncertainty is due to imperfection of an instrument used to measure a quantity, and/or a model used for generating data.…”
“…Measurement uncertainties can be divided into systematic errors (bias) and random errors (precision). In general, the systematic error can be neglected in instrumental wind and wave state measurements (Bitner-Gregersen and Hagen, 1990).…”
Section: Long-term Modeling Of Wave State and Wind Speedmentioning
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.