Skill-Testing Chemical Transport Models across Contrasting Atmospheric Mixing States Using Radon-222

Skill-Testing Chemical Transport Models across Contrasting Atmospheric Mixing States Using Radon-222

We propose a new technique to prepare statistically-robust benchmarking data for evaluating chemical transport model meteorology and air quality parameters within the urban boundary layer. The approach employs atmospheric class-typing, using nocturnal radon measurements to assign atmospheric mixing...

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Bibliographic Details
Main Authors: Scott D. Chambers, Elise-Andree Guérette, Khalia Monk, Alan D. Griffiths, Yang Zhang, Hiep Duc, Martin Cope, Kathryn M. Emmerson, Lisa T. Chang, Jeremy D. Silver, Steven Utembe, Jagoda Crawford, Alastair G. Williams, Melita Keywood
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Atmosphere
Subjects:
radon
atmospheric stability
air quality
model evaluation
modelling
SNBL
ABL
urban pollution
Online Access:http://www.mdpi.com/2073-4433/10/1/25

Internet

http://www.mdpi.com/2073-4433/10/1/25

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