Gregory J. McRae

TL;DR: In this article, a new method for parametric uncertainty analysis of numerical geophysical models is presented, which approximates model response surfaces, which are functions of model input parameters, using orthogonal polynomials, whose weighting functions are the probabilistic density functions of the input uncertain parameters.

TL;DR: A three-stage mechanism consisting of protein misfolding, nucleation, and fibril elongation is proposed and supported by the features of homogeneous fibrillation responses, and the wide applicability of the model confirms thatfibrillation kinetics may be fairly similar among amyloid proteins and for different environmental factors.

TL;DR: In this article, the CIT photochemical airshed model is updated and then applied to the August 27-29,============1987, SCAQS intensive monitoring period using measured meteorological parameters, measured initial and boundary conditions, and the official emission inventory prepared by the government, ozone concentrations are underpredicted by 23% on average.

TL;DR: A comparison of the results of the collocation method with a traditional Monte Carlo simulation show that the collocations method gives a better approximation for the probability density function of the model’s response with less than 20 model runs as compared with a Monte Carlo Simulation of 5000 model runs.