Skip to main content

High Time-Resolved Comparisons for In-Depth Probing of CMAQ Fine-Particle and Gas Predictions

  • Conference paper
Air Pollution Modeling and Its Application XVII

In this paper, two major sources of bias in the Community Multi-scale Air Quality Model (CMAQ), one physical and one chemical process, are examined. The examination is conducted with hourly gas and particle data for the inorganic system of sulfate, total ammonia, also called NHX, (gaseous ammonia, NH3 plus aerosol ammonium, NH4) and total nitrate (gaseous nitric acid, HNO3 plus aerosol nitrate, NO3-) and with hourly gas and particle data for inert or conservative species. The physical source of bias stems from the meteorological inputs related to mixing, in particular the behavior of the simulated mixed layer in the evening. The chemical source of bias stems from the nighttime heterogeneous production of HNO3 from N2O5. The analyses are carried out for a summer and a winter period to examine the seasonal dependence of the biases.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Science+Business Media, LLC

About this paper

Cite this paper

Dennis, R.L., Roselle, S.J., Gilliam, R., Arnold, J. (2007). High Time-Resolved Comparisons for In-Depth Probing of CMAQ Fine-Particle and Gas Predictions. In: Borrego, C., Norman, AL. (eds) Air Pollution Modeling and Its Application XVII. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-68854-1_55

Download citation

Publish with us

Policies and ethics