Application of Bayesian Monte Carlo analysis to a Lagrangian photochemical air quality model
- 10 December 1999
- journal article
- Published by Elsevier in Atmospheric Environment
- Vol. 34 (5) , 781-792
- https://doi.org/10.1016/s1352-2310(99)00346-5
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Formal Uncertainty Analysis of a Lagrangian Photochemical Air Pollution ModelEnvironmental Science & Technology, 1999
- Monte carlo estimates of uncertainties in predictions by a photochemical grid model (UAM-IV) due to uncertainties in input variablesAtmospheric Environment, 1998
- Global uncertainty analysis of a regional‐scale gas‐phase chemical mechanismJournal of Geophysical Research: Atmospheres, 1996
- Risk‐Based Environmental Remediation: Bayesian Monte Carlo Analysis and the Expected Value of Sample InformationRisk Analysis, 1996
- Updating Uncertainty in an Integrated Risk Assessment: Conceptual Framework and MethodsRisk Analysis, 1995
- Computer modeling of environmental chamber measurements of maximum incremental reactivities of volatile organic compoundsAtmospheric Environment, 1995
- Development of Bayesian Monte Carlo techniques for water quality model uncertaintyEcological Modelling, 1992
- Water quality modeling: A review of the analysis of uncertaintyWater Resources Research, 1987
- Statistics of extreme values of a first-order Markov normal process: An exact resultAtmospheric Environment (1967), 1984
- A Comparison of Interpolation Methods for Sparse Data: Application to Wind and Concentration FieldsJournal of Applied Meteorology, 1979