Source Term Estimation Method Using Long-range Inverse Atmospheric Transport Simulation.

Atmospheric Long-Range Transport and Deposition of Mercury to Alaska

A robust method for inverse transport modeling of atmospheric emissions using blind outlier detection

Emissions of harmful substances into the atmosphere are a serious environmental concern. In order to understand and predict their effects, it is necessary to estimate the exact quantity and timing of the emissions from sensor measurements taken at different locations. There are a number of methods for solving this problem. However, these existing methods assume Gaussian additive errors, making ...

Using passive air samplers to assess local sources versus long range atmospheric transport of POPs.

Passive air samplers (PAS) are cost-efficient tools suitable for spatial mapping of atmospheric concentrations of persistent organic pollutants (POPs). The objective of this study was to use PAS to (i) determine atmospheric concentrations of selected POPs in Norwegian coastal zones with consumption advisories on seafood (N = 22), and (ii) evaluate a simple nested monitoring approach to assess t...

Inverse Problems in Atmospheric Constituent Transport

Simulation of Long-term Returns with Stochastic Correlations

This paper focuses on a nonlinear stochastic model for financial simulation and forecasting based on assumptions of multivariate stochastic correlation, with an application to the European market. We present in particular the key elements of a structured hierarchical econometric model that can be used to forecast financial and commodity markets relying on statistical and simulation methods. The...