Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development.

Slides:



Advertisements
Similar presentations
Analysis of CMAQ Performance and Grid-to- grid Variability Over 12-km and 4-km Spacing Domains within the Houston airshed Daiwen Kang Computer Science.
Advertisements

R. Ahmadov 1,2, S. McKeen 1,2, R. Bahreini 1,2, A. Middlebrook 2, J.A. deGouw 1,2, J.L. Jimenez 1,3, P.L. Hayes 1,3, A.L. Robinson 4, M. Trainer 2 1 Cooperative.
Investigate possible causes Intercontinental Transport and Chemical Transformation (ITCT) An International Global Atmospheric Chemistry (IGAC) Program.
Sensitivity to changes in HONO emissions from mobile sources simulated for Houston area Beata Czader, Yunsoo Choi, Lijun Diao University of Houston Department.
Improving the Representation of Atmospheric Chemistry in WRF William R. Stockwell Department of Chemistry Howard University.
4-km AIRPACT vs 12-km AIRPACT Both with dynamic boundary conditions from MOZART-4 Figures created on 5/29/2011 (corrected corrupted JPROC input file)
Integrating satellite observations for assessing air quality over North America with GEOS-Chem Mark Parrington, Dylan Jones University of Toronto
Atmospheric modelling activities inside the Danish AMAP program Jesper H. Christensen NERI-ATMI, Frederiksborgvej Roskilde.
This Week—Tropospheric Chemistry READING: Chapter 11 of text Tropospheric Chemistry Data Set Analysis.
Ozone Production Efficiency in the Baltimore/Washington Urban Plume Presentation by Linda Hembeck Co-Authors: Christopher Loughner, Timothy Vinziguerra,
Mercury Source Attribution at Global, Regional and Local Scales Christian Seigneur, Krish Vijayaraghavan, Kristen Lohman, and Prakash Karamchandani AER.
GEOS-CHEM GLOBAL 3-D MODEL OF TROPOSPHERIC CHEMISTRY Assimilated NASA/DAO meteorological observations for o x1 o to 4 o x5 o horizontal resolution,
Evaluation of the AIRPACT2 modeling system for the Pacific Northwest Abdullah Mahmud MS Student, CEE Washington State University.
Improving Cloud Simulation in Weather Research and Forecasting (WRF) Through Assimilation of GOES Satellite Observations Andrew White Advisor: Dr. Arastoo.
CMAQ (Community Multiscale Air Quality) pollutant Concentration change horizontal advection vertical advection horizontal dispersion vertical diffusion.
Beta Testing of the SCICHEM-2012 Reactive Plume Model James T. Kelly and Kirk R. Baker Office of Air Quality Planning & Standards US Environmental Protection.
Modelling the Canadian Arctic and Northern Air Quality using GEM-MACH Wanmin Gong and Stephen Beagley Science and Technology Branch Environment Canada.
Examination of the impact of recent laboratory evidence of photoexcited NO 2 chemistry on simulated summer-time regional air quality Golam Sarwar, Robert.
Comparison of three photochemical mechanisms (CB4, CB05, SAPRC99) for the Eta-CMAQ air quality forecast model for O 3 during the 2004 ICARTT study Shaocai.
O. Russell Bullock, Jr. National Oceanic and Atmospheric Administration (NOAA) Atmospheric Sciences Modeling Division (in partnership with the U.S. Environmental.
Center for Environmental Research and Technology University of California, Riverside Bourns College of Engineering Evaluation and Intercomparison of N.
Importance of Lightning NO for Regional Air Quality Modeling Thomas E. Pierce/NOAA Atmospheric Modeling Division National Exposure Research Laboratory.
1 Using Hemispheric-CMAQ to Provide Initial and Boundary Conditions for Regional Modeling Joshua S. Fu 1, Xinyi Dong 1, Kan Huang 1, and Carey Jang 2 1.
Presentation by: Dan Goldberg Co-authors: Tim Vinciguerra, Linda Hembeck, Sam Carpenter, Tim Canty, Ross Salawitch & Russ Dickerson 13 th Annual CMAS Conference.
On the Model’s Ability to Capture Key Measures Relevant to Air Quality Policies through Analysis of Multi-Year O 3 Observations and CMAQ Simulations Daiwen.
A comparison of PM 2.5 simulations over the Eastern United States using CB-IV and RADM2 chemical mechanisms Michael Ku, Kevin Civerolo, and Gopal Sistla.
Rick Saylor 1, Barry Baker 1, Pius Lee 2, Daniel Tong 2,3, Li Pan 2 and Youhua Tang 2 1 National Oceanic and Atmospheric Administration Air Resources Laboratory.
The effect of pyro-convective fires on the global troposphere: comparison of TOMCAT modelled fields with observations from ICARTT Sarah Monks Outline:
Wildland Fire Impacts on Surface Ozone Concentrations Literature Review of the Science State-of-Art Ned Nikolov, Ph.D. Rocky Mountain Center USDA FS Rocky.
A detailed evaluation of the WRF-CMAQ forecast model performance for O 3, and PM 2.5 during the 2006 TexAQS/GoMACCS study Shaocai Yu $, Rohit Mathur +,
4/20/2006Ga Tech - EAS Air Chemistry Group Presentation 1 A Hydrogen Economy’s Potential Environmental Impacts Chun Zhao Evan Cobb.
Presented at the AQAST 9 th Semiannual Meeting Wednesday June 3 rd, 2015 Presentation by: Dan Goldberg, Ph.D. Candidate Co-authors: Tim Canty, Tim Vinciguerra,
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Using Dynamical Downscaling to Project.
Goal: “What are the sources and physical mechanisms that contribute to high ozone concentrations aloft that have been observed in Central and Southern.
Use of space-based tropospheric NO 2 observations in regional air quality modeling Robert W. Pinder 1, Sergey L. Napelenok 1, Alice B. Gilliland 1, Randall.
U.S. EPA and WIST Rob Gilliam *NOAA/**U.S. EPA
William G. Benjey* Physical Scientist NOAA Air Resources Laboratory Atmospheric Sciences Modeling Division Research Triangle Park, NC Fifth Annual CMAS.
C. Hogrefe 1,2, W. Hao 2, E.E. Zalewsky 2, J.-Y. Ku 2, B. Lynn 3, C. Rosenzweig 4, M. Schultz 5, S. Rast 6, M. Newchurch 7, L. Wang 7, P.L. Kinney 8, and.
Office of Research and Development Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory Simple urban parameterization for.
Seasonal Modeling of the Export of Pollutants from North America using the Multiscale Air Quality Simulation Platform (MAQSIP) Adel Hanna, 1 Rohit Mathur,
Estimating background ozone in surface air over the United States with global 3-D models of tropospheric chemistry Description, Evaluation, and Results.
Robert W. Pinder, Alice B. Gilliland, Robert C. Gilliam, K. Wyat Appel Atmospheric Modeling Division, NOAA Air Resources Laboratory, in partnership with.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division October 21, 2009 Evaluation of CMAQ.
Impact of dimethylsulfide chemistry on sulfate Golam Sarwar, Kathleen Fahey, Kristen Foley, Brett Gantt, Deborah Luecken, Rohit Mathur October 7, 2015.
Assessment of aerosol direct effects on surface radiation in the northern hemisphere using two-way WRF-CMAQ model Jia Xing, Jonathan Pleim, Rohit Mathur,
Atmospheric Modeling and Analysis Division,
Influence of Lightning-produced NOx on upper tropospheric ozone Using TES/O3&CO, OMI/NO2&HCHO in CMAQ modeling study M. J. Newchurch 1, A. P. Biazar.
W. T. Hutzell 1, G. Pouliot 2, and D. J. Luecken 1 1 Atmospheric Modeling Division, U. S. Environmental Protection Agency 2 Atmospheric Sciences Modeling.
U.S. Environmental Protection Agency Office of Research and Development Implementation of an Online Photolysis Module in CMAQ 4.7 Christopher G. Nolte.
TES and Surface Measurements for Air Quality Brad Pierce 1, Jay Al-Saadi 2, Jim Szykman 3, Todd Schaack 4, Kevin Bowman 5, P.K. Bhartia 6, Anne Thompson.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Examining the impact of aerosol direct.
Background ozone in surface air over the United States Arlene M. Fiore Daniel J. Jacob US EPA Workshop on Developing Criteria for the Chemistry and Physics.
February 11, 2016 Nitrogen Oxides (NO x ) Emissions from U.S. Shale Plays using an Integrated Top-down and Bottom-up Approach Speaker: Andy Chang, PhD.
OsloCTM2  3D global chemical transport model  Standard tropospheric chemistry/stratospheric chemistry or both. Gas phase chemistry + essential heteorogenous.
Robin L. Dennis, Jesse O. Bash, Kristen M. Foley, Rob Gilliam, Robert W. Pinder U.S. Environmental Protection Agency, National Exposure Research Laboratory,
Office of Research and Development Atmospheric Modeling Division, National Exposure Research Laboratory WRF-CMAQ 2-way Coupled System: Part II Jonathan.
U.S. Environmental Protection Agency Office of Research and Development Examination of sulfate production by CB05TU, RACM2, and RACM2 with SCI initiated.
Development of a Multipollutant Version of the Community Multiscale Air Quality (CMAQ) Modeling System Shawn Roselle, Deborah Luecken, William Hutzell,
A Performance Evaluation of Lightning-NO Algorithms in CMAQ
16th Annual CMAS Conference
17th Annual CMAS Conference, Chapel Hill, NC
Characteristics of Urban Ozone Formation During CAREBEIJING-2007 Experiment Zhen Liu 04/21/09.
Quantification of Lightning NOX and its Impact on Air Quality over the Contiguous United States Daiwen Kang, Rohit Mathur, Limei Ran, Gorge Pouliot, David.
Modeling the impacts of green infrastructure land use changes on air quality and meteorology—case study and sensitivity analysis in Kansas City Yuqiang.
Changes to the Multi-Pollutant version in the CMAQ 4.7
Impact of GOES Enhanced WRF Fields on Air Quality Model Performance
SELECTED RESULTS OF MODELING WITH THE CMAQ PLUME-IN-GRID APPROACH
Deborah Luecken and Golam Sarwar U.S. EPA, ORD/NERL
Presentation transcript:

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Golam Sarwar, Jia Xing, James Godowitch, Donna Schwede, Rohit Mathur Atmospheric Modeling and Analysis Division National Exposure Research Laborotary U.S. Environmental Protection Agency 2013 ITM Miami, Florida, USA August 26-30, 2013 Impact of RACM2, halogen chemistry, and updated ozone deposition velocity on hemispheric ozone predictions

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Overview of CB05TU and RACM2 Carbon Bond mechanism has been widely used in air quality models – CMAQ currently uses Carbon Bond 2005 with updated toluene chemistry (CB05TU) – References: Yarwood et al., 2005 and Whitten et al., 2010 Regional Atmospheric Chemistry Mechanism (RACM2) is a new mechanism – Specifically developed for regional applications – Reference: Goliff et al., 2013 Examine the impact of these mechanisms on ozone over northern hemisphere – Motivations: – We use hemispheric predictions for generating BC for continental US – Previous studies showed CB05 predicts high ozone over water which affects model predictions in continental US domain (Mathur et al., 2010 and 2012)

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Halogen chemistry over gulfs and oceans Recent studies suggest halogen chemistry can destroy ozone over water Bromine/iodine chemistry are important; details are emerging Current CMAQ model does not contain these halogen reactions Read et al. (2008) and Mahajan et al. (2010) measured O 3 in the Cape Verde archipelago in Atlantic Ocean – They suggested halogens can destroy ozone by ppbv/day – We developed an effective ozone loss reaction using data from Read et al. (2008) with a first order loss of 2.0x10 -6 s -1 for the reaction – We employed it in CMAQ to account for the halogen mediated O 3 loss over the over gulfs and oceans only during day and within PBL – Read et al., Nature, 453, , 2008 and Mahajan et al., Atmospheric Chemistry & Physics, 2010

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Ozone deposition velocity over water Helmig et al. (2012) measured ozone V d over gulfs and oceans – They reported median values of cm s -1 to different water bodies – Ref: Helmig et al., JGR, 117, D04305, 2012 We analyzed current CMAQ-estimated ozone V d over gulfs and oceans – CMAQ V d values are an order of magnitude lower than observed values – We revised ozone V d treatment in CMAQ following Chang et al. (2004) – It enhanced ozone V d similar to the observed values over water – Ref: Chang et al., Atmospheric Environment, 38, 1053–1059, 2004

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory CMAQ estimated O 3 deposition velocity Ozone dep velocity with revised treatment (daily average) Ozone dep velocity with existing treatment Ozone dep velocity with revised treatment

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Modeling details Community Multiscale Air Quality (CMAQv50) hemispheric model –WRF-CMAQ coupled model –Modeling domain: northern hemisphere –Horizontal grid size: 108-km –Vertical resolution: 44 layers from surface to 50 kpa Model-ready emissions were developed using –Emissions Database for Global Atmospheric Research (EDGAR) Simulation period –Three months: June, July, August, 2006 –Spin-up period: One-month (May, 2006 )

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Modeling details Three different model simulations were performed – CB05TU – RACM2 – RACM2 + halogen reaction + enhanced O 3 deposition velocity Compare model predictions with observations from several field campaigns – Texas Air Quality Study 2006 – INTEX Ozonesonde Network Study (IONS-06) – Southern Hemisphere ADditional OZonsondes (SHADOZ)

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Comparison of CB05TU & RACM2 ozone predictions at surface RACM2 enhances ozone in polluted areas while decreasing it in remote areas. Increases occur due to greater NO x recyling and more active organic chemistry in RACM2. Decreases in remote areas occur due to the lower organic nitrate in RACM2.

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Effect of halogen reaction + enhanced deposition velocity on ozone predictions The halogen reaction and enhanced deposition velocity decrease O 3 predictions over water. Most of the decreases occur due to the halogen reaction.

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Observations sites for model comparison Sable Island Hilo, Hawaii Trinidad Head Gulf of Mexico

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Comparison with observed data at Sable Island & Gulf of Mexico RACM2 over-predicts ozone compared to observations near surface Mixed performances aloft The halogen reaction and enhanced ozone V d improve the comparison Sable Island, NS Gulf of Mexico

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Comparison with observations at Trinidad Head & Hilo, Hawaii At Trinidad Head, both over-predict near surface but RACM2 is better ~ m In the pacific Oceans at Hilo, RACM2 predictions compare better The halogen reaction and enhanced ozone V d improve the comparison Trinidad Head Hilo, Hawaii

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Summary  Incorporated RACM2 into the hemispheric CMAQ model  RACM2 enhances O 3 in polluted areas while decreasing in remote areas –RACM2 over-predicts surface O 3 compared to observed data in polluted areas –RACM2 improves aloft O 3 predictions in some cases in polluted areas –RACM2 predictions compare better with observed data in remote areas (Hilo)  Incorporated an effective halogen reaction and updated O 3 V d in CMAQ –They reduce O 3 predictions over water bodies –The majority of the reduction occurs due to the halogen reaction –Model O 3 predictions with these treatments compare better with observed data  Future plans –Generate boundary conditions for continental US using these results –Perform simulations with these boundary conditions for continental US

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Extra slides

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Overview of CB05TU and RACM2 CB05TURACM2 Year updated/developed2005, Number of reactions Number of photolytic reactions2433 Number of chemical species80134

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development National Exposure Research Laboratory Example reaction in CB05TU and RACM2 (reaction of ethane) CB05TURACM2 C2H6 + HO = 0.991*ACD + HO *XO *XO2N C2H6 + HO = C2H5OO C2H5OO + NO = HO2 + NO2 + ACD C2H5OO + HO2 = OP2 C2H5OO + MO2 = HO *HCHO *ACD *MOH *EOH C2H5OO + ACO3 = 0.5*HO *MO2 + ACD + 0.5*ORA2 C2H5OO + NO3 = HO2 + NO2 + ACD ACD=acetaldehyde, OP2=organic peroxide, ORA2=acetic acid, NO=nitric oxide, NO2=nitrogen dioxide, HO2=hydroperoxy radical, ETHP=peroxy radical, MO2=methyl peroxy radical, HCHO=formaldehyde, MOH=methanol, EOH=ethanol, ACO3=acetyl peroxy radical, NO3= nitrate radical, XO2= NO to NO2 conversion, XO2N= NO to RNO2 conversion