Showing results for: meteorology data analysis Articles
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`Potential Benefits and Implementation of MM5/RUC2 Data with the CALPUFF Air Modeling System,` presented at the 2004 AWMA annual conference
Abstract In April 2003, U.S. EPA officially revised the federal guidelines for air quality modeling (40 CFR Part 51, Appendix W) to incorporate CALPUFF as the preferred dispersion model to study long-range pollutant transport for regulatory purposes. At the absolute minimum, CALMET (CALPUFF's meteorological preprocessor) requires hourly measurements of surface meteorological data and twice-daily ...
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Potential Benefits and Implementation of MM5/RUC2 Data with the CALPUFF Air Modeling System
In April 2003, U.S. EPA officially revised the federal guidelines for air quality modeling (40 CFR Part 51, Appendix W) to incorporate CALPUFF as the preferred dispersion model to study long-range pollutant transport for regulatory purposes. At the absolute minimum, CALMET (CALPUFF’s meteorological preprocessor) requires hourly measurements of surface meteorological data and twice-daily upper air ...
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Potential Benefits and Implementation of MM5/RUC2 Data with the CALPUFF Air Modeling System
In April 2003, U.S. EPA officially revised the federal guidelines for air quality modeling (40 CFR Part 51, Appendix W) to incorporate CALPUFF as the preferred dispersion model to study long-range pollutant transport for regulatory purposes. At the absolute minimum, CALMET (CALPUFF’s meteorological preprocessor) requires hourly measurements of surface meteorological data and twice-daily upper air ...
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`Meteorological Data Selection for AERMOD Analyses,` presented at the 2006 A&WMA Southern Section conference
Objective Understand the importance of thesurrounding landuse on development ofAERMET data for use in AERMOD Review tools to visualize and calculatelanduse and select appropriatemeteorological data Demonstrate example of landusecomparison and impacts on model results Outline AERMOD Overview AERMET and Landuse Example Landuse at facility and meteorologicalstations Results Comparison ...
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Investigating the importance of pre-processing in estimating dispersion climatology
This study investigates the sensitivity of dispersion modelling results to the way that climatologies are described. The study investigates the sensitivity of the dispersion predictions to the number of years of data used; using hour by hour or statistical data; using different variables (e.g. surface heat flux or the Monin-Obukhov length); using different category boundaries for statistically ...
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Solar radiation estimated from measured air temperature: a review and proposed a new model
Estimation of solar radiation from measured air temperature offers an important alternative in the absence of measured solar radiation because of the wide availability of air temperature data. Solar radiation is considered as the most important parameter in meteorology, solar conversion, and renewable energy applications. Many correlation models have been developed to estimate daily solar ...
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A Test Reference Year (TRY) approach to gas dispersion in the atmosphere
For environmental analysis such as the dispersion of pollutants in the atmosphere, it is essential to have meteorological data that are relevant for a long period. In this paper, we explore the possibility of using an environmental Test Reference Year (TRY), i.e., a set of real, contemporaneous and hourly meteorological variables, 'extracted' from a hourly series of at least 10 years, for ...
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AERMOD Versus CTDMPLUS: A Complex Terrain Case Study
ABSTRACT The American Meteorological Society/U.S. Environmental Protection Agency (AMS/EPA) Regulatory Model Improvement Committee (AERMIC) has updated the Industrial Source Complex (ISC) air dispersion model. The AERMIC model (AERMOD) is capable of predicting ambient pollutant concentrations in simple terrain and elevated terrain. The complex terrain capabilities of AERMOD are of particular ...
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