Annual application and evaluation of the online coupled WRF–CMAQ system over North America under AQMEII phase 2. (August 2015)
- Record Type:
- Journal Article
- Title:
- Annual application and evaluation of the online coupled WRF–CMAQ system over North America under AQMEII phase 2. (August 2015)
- Main Title:
- Annual application and evaluation of the online coupled WRF–CMAQ system over North America under AQMEII phase 2
- Authors:
- Hogrefe, Christian
Pouliot, George
Wong, David
Torian, Alfreida
Roselle, Shawn
Pleim, Jonathan
Mathur, Rohit - Abstract:
- Abstract: We present an application of the online coupled Weather Research and Forecasting–Community Multiscale Air Quality (WRF–CMAQ) modeling system to two annual simulations over North America performed under Phase 2 of the Air Quality Model Evaluation International Initiative (AQMEII). Operational evaluation shows that model performance is comparable to earlier annual applications of the uncoupled WRF/CMAQ modeling system Results also indicate that factors such as changes in the underlying emissions inventory and chemical boundary conditions likely exert a larger influence on overall model performance than feedback effects. A comparison of the simulated Aerosol Optical Depth (AOD) against observations reveals a tendency toward underprediction in all seasons despite a general overprediction of PM2.5 during wintertime. Summertime sensitivity simulations without feedback effects are used to quantify the average impact of the simulated direct feedback effect on temperature, PBL heights, ozone and PM2.5 concentrations. Model results for 2006 and 2010 are analyzed to compare modeled changes between these years to those seen in observations. The results for summertime average daily maximum 8-h ozone showed that the model tends to underestimate the observed decrease in concentrations. The results for total and speciated PM2.5 vary between seasons, networks and species, but the WRF–CMAQ simulations do capture the substantial decreases in observed PM2.5 concentrations in summerAbstract: We present an application of the online coupled Weather Research and Forecasting–Community Multiscale Air Quality (WRF–CMAQ) modeling system to two annual simulations over North America performed under Phase 2 of the Air Quality Model Evaluation International Initiative (AQMEII). Operational evaluation shows that model performance is comparable to earlier annual applications of the uncoupled WRF/CMAQ modeling system Results also indicate that factors such as changes in the underlying emissions inventory and chemical boundary conditions likely exert a larger influence on overall model performance than feedback effects. A comparison of the simulated Aerosol Optical Depth (AOD) against observations reveals a tendency toward underprediction in all seasons despite a general overprediction of PM2.5 during wintertime. Summertime sensitivity simulations without feedback effects are used to quantify the average impact of the simulated direct feedback effect on temperature, PBL heights, ozone and PM2.5 concentrations. Model results for 2006 and 2010 are analyzed to compare modeled changes between these years to those seen in observations. The results for summertime average daily maximum 8-h ozone showed that the model tends to underestimate the observed decrease in concentrations. The results for total and speciated PM2.5 vary between seasons, networks and species, but the WRF–CMAQ simulations do capture the substantial decreases in observed PM2.5 concentrations in summer and fall. These 2010–2006 PM2.5 decreases result in simulated increases of summer mean clear-sky shortwave radiation between 5 and 10 W/m 2 . The WRF–CMAQ configuration without direct feedback effects simulates smaller changes in summertime PM2.5 concentrations, indicating that the direct feedback effect enhances the air quality benefits arising from emission controls and that coupled modeling systems are necessary to quantify such feedback effects. Highlights: Coupled WRF-CMAQ modeling system is applied and evaluated under AQMEII Phase 2. Performance is comparable to earlier applications of the uncoupled modeling system. WRF-CMAQ captures summer PM2.5 concentration decreases between 2006 and 2010. Coupled modeling allows the quantification of the radiative impacts of these changes. … (more)
- Is Part Of:
- Atmospheric environment. Volume 115(2015)
- Journal:
- Atmospheric environment
- Issue:
- Volume 115(2015)
- Issue Display:
- Volume 115, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 115
- Issue:
- 2015
- Issue Sort Value:
- 2015-0115-2015-0000
- Page Start:
- 683
- Page End:
- 694
- Publication Date:
- 2015-08
- Subjects:
- WRF–CMAQ coupled model -- AQMEII -- Direct feedbacks -- Dynamic evaluation
Air -- Pollution -- Periodicals
Air -- Pollution -- Meteorological aspects -- Periodicals
551.51 - Journal URLs:
- http://www.sciencedirect.com/web-editions/journal/13522310 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.atmosenv.2014.12.034 ↗
- Languages:
- English
- ISSNs:
- 1352-2310
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1767.120000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7363.xml