Implementing and Improved Soil NOx Parameterization in the Community Multiscale Air Quality Model: Implications for Air Pollution

Soil NO emissions are critical to accurate atmospheric simulations which inform decisions to protect human health. Several studies indicate that the scheme, Yienger and Levy 1995 (YL95), underestimates soil NO emissions by a significant amount. The Berkeley Dalhousie Soil NOx Parameterization (BDSNP) updates soil NO emissions to be more consistent with satellite measurements. This work implements the BDSNP algorithm into CMAQ, adapting it to a 12km grid and comparing the resulting ozone, particulate, and other pollutants with results from the current YL95 algorithm for 2005 satellite data. Results show that summer NO emissions over the US double during the day, and in some places soil NO exceeds industrial sources. A comparison with satellite data, however, does not show strong evidence of the YL underestimation, contrary to other published results.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Engineering

Grantor

Rice University

Year dc:date.issued

2014

Author dc:creator

• Lash, Benjamin

Advisor dc:contributor.advisor

• Cohan, Daniel S

Committee members dc:contributor.committeemember

• Griffin, Robert
• Masiello, Caroline

• CMAQ
• Soil NOx
• BDSNP
• GEOS-Chem
• Community Multiscale Air Quality Model
• Berkeley Soil NOx Parameterization

Statement dc:rights

• Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1911/87802

OAI identifier oai:identifier

oai:repository.rice.edu:1911/87802