CHIMERE - Volatility Basis Set approach

Slides:



Advertisements
Similar presentations
Chantier Méditerranée – Aix-En-Provence – Nov /17 1. Main regional stakes - Ambient air quality - Chemistry-climate interactions - Impact on ecosystems.
Advertisements

Formaldehyde columns from GOME as a proxy for biogenic emissions over Europe Università degli Studi dellAquila – CETEMPS LAquila, ITALY
Intercomparison of secondary organic aerosol models based on SOA/O x ratio Yu Morino, Kiyoshi Tanabe, Kei Sato, and Toshimasa Ohara National Institute.
Template Development and Testing of PinG and VBS modules in CMAQ 5.01 Prakash Karamchandani, Bonyoung Koo, Greg Yarwood and Jeremiah Johnson ENVIRON International.
Development of a Secondary Organic Aerosol Formation Mechanism: Comparison with Smog Chamber Experiments and Atmospheric Measurements Luis Olcese, Joyce.
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.
CO budget and variability over the U.S. using the WRF-Chem regional model Anne Boynard, Gabriele Pfister, David Edwards National Center for Atmospheric.
INDIRECT AEROSOL EFFECTS
Incorporation of the Model of Aerosol Dynamics, Reaction, Ionization and Dissolution (MADRID) into CMAQ Yang Zhang, Betty K. Pun, Krish Vijayaraghavan,
The semi-volatile nature of secondary organic aerosol (SOA) in the Mexico City Metropolitan Area November 2, 2007 EAS Graduate Student Symposium Christopher.
Chemical regimes over Europe – long term, seasonal and day to day variability Matthias Beekmann LISA University Paris 7 and 12, CNRS Créteil, France Thanks.
Secondary Organic Aerosols: What we know and current CAM treatment Chemistry-Climate Working Group Meeting, CCSM March 22, 2006 Colette L. Heald
Christian Seigneur AER San Ramon, CA
Particulate Matter Modeling: Scientific Issues & Future Prospects Christian Seigneur AER San Ramon, California, USA EMEP TFMM, 29 November 2006, Paris,
The Framework of Modeling SOA Formation from Toluene Oxidation Di Hu and Richard Kamens Department of Environmental Sciences and Engineering, University.
1 Modelling Activities at LAC (PSI) in Switzerland Ş. Andreani-Aksoyo ğ lu, J. Keller, I. Barmpadimos, D. Oderbolz, A.S.H. Prévôt Laboratory of Atmospheric.
Organic Carbon Aerosol: An Overview (and Insight from Recent Field Campaigns) Colette L. Heald NOAA Climate and Global Change Postdoctoral Fellow
Developing Secondary Organic Aerosol (SOA) Code for the MCM David Johnson (Mike Jenkin and Steve Utembe) Department of Environmental Science and Technology,
Modification of the chemical environment during long-range transport M. Auvray & I. Bey GEOS-CHEM Meeting – April 2005 Swiss Federal Institute of Technology,
Formaldehyde columns over Europe as a proxy for biogenic emissions Università degli Studi dell’Aquila – CETEMPS L’Aquila, ITALY
Comprehensive model evaluation of PM2.5 species over Japan:
Understanding sources of organic aerosol during CalNex 2010 using the CMAQ-VBS Matthew Woody 1, Kirk Baker 1, Patrick Hayes 2, Jose Jimenez 3, and Havala.
Mercury Source Attribution at Global, Regional and Local Scales Christian Seigneur, Krish Vijayaraghavan, Kristen Lohman, and Prakash Karamchandani AER.
Implementing Online Marine Organic Aerosol Emissions into GEOS-Chem Implementing Online Marine Organic Aerosol Emissions into GEOS-Chem NASA Ames Research.
Modeling Elemental Composition of Organic Aerosol: Exploiting Laboratory and Ambient Measurement and the Implications of the Gap Between Them Qi Chen*
1 Influence of dilution and particle fractal dimension of diesel exhaust on measured SOA formation in a smog chamber Shunsuke Nakao (1,
Organics in the Mix during SAPUSS M. Dall´Osto and the SAPUSS team CSIC, Barcelona, Spain
Office of Research and Development National Exposure Research Laboratory Atmospheric Modeling Division, Research Triangle Park, NC September 17, 2015 Annmarie.
1/30 2-year observation of Organic Aerosol properties In Cape Corsica J. Sciare, and LSCE.
Online measurements of chemical composition and size distribution of submicron aerosol particles in east Baltic region Inga Rimšelytė Institute of Physics.
Charmex workshop Trieste 1/Total Working sesssion « chemical processes » overview Relevant questions : -VOC reactivity, oxidized.
Parameterization of Global Monoterpene SOA formation and Water Uptake, Based on a Near-explicit Mechanism Karl Ceulemans – Jean-François Müller – Steven.
Regional Modeling of The Atmospheric Fate and Transport of Benzene and Diesel Particles with CMAQ Christian Seigneur, Betty Pun Kristen Lohman, and Shiang-Yuh.
Deguillaume L., Beekmann M., Menut L., Derognat C.
On the interplay between upper and ground levels dynamics and chemistry in determining the surface aerosol budget Gabriele Curci 1, L. Ferrero 2, P. Tuccella.
1 University of California, Davis, CA.
Simulating the Oxygen Content of Organic Aerosol in a Global Model
DEVELOPMENT AND APPLICATION OF MADRID: A NEW AEROSOL MODULE IN MODELS-3/CMAQ Yang Zhang*, Betty Pun, Krish Vijayaraghavan, Shiang-Yuh Wu and Christian.
Extending Size-Dependent Composition to the Modal Approach: A Case Study with Sea Salt Aerosol Uma Shankar and Rohit Mathur The University of North Carolina.
Yunseok Im and Myoseon Jang
Peak 8-hr Ozone Model Performance when using Biogenic VOC estimated by MEGAN and BIOME (BEIS) Kirk Baker Lake Michigan Air Directors Consortium October.
MAPPING ISOPRENE EMISSIONS FROM SPACE USING OMI FORMALDEHYDE MEASUREMENTS Dylan B. Millet, Daniel J. Jacob, K. Folkert Boersma, Justin P. Parrella Atmospheric.
2/5/2016 Anthropogenic Impacts on Organic Aerosol during the 2007 BAQS-Met Field Study Craig Stroud, Michael Moran, Paul Makar, Junhua Zhang, Wanmin Gong,
Organic aerosol composition and aging in the atmosphere: How to fit laboratory experiments, field data, and modeling together American Chemical Society.
Sensitivity of PM 2.5 Species to Emissions in the Southeast Sun-Kyoung Park and Armistead G. Russell Georgia Institute of Technology Sensitivity of PM.
2016 TFEIP meeting, Zagreb, 16-18th May 2016 Cross-cutting WG TFMM-TFEIP on SVOC emissions Working document for the workshop on condensables & Semi-Volatiles.
THE MEGAPOLI PARIS CAMPAIGN FOR URBAN AEROSOL CHARACTERISATION – A COMPREHENSIVE DATA SET FOR AIR QUALITY MODEL EVALUATION M. Beekmann (1), A. Borbon (1),
Source apportionment of submicron organic aerosols at an urban site by linear unmixing of aerosol mass spectra V. A. Lanz 1, M. R. Alfarra 2, U. Baltensperger.
The Paris MEGAPOLI campaign to better quantify fine aerosol sources and formation in a tertiary type mid-latitude Megacity M. Beekmann 1, A. S. H. Prevot.
Understanding the impact of isoprene nitrates and OH reformation on regional air quality using recent advances in isoprene photooxidation chemistry Ying.
58 A modeling perspective of the ChArMEx intensive campaign: origin of photo-oxidant and organic aerosol formation Arineh Cholakian, Matthias Beekmann,
Impact of various emission inventories on modelling results; impact on the use of the GMES products Laurence Rouïl
Introduction Method Results Conclusions
Assessment of Air Quality Impacts from the 2013 Rim Fire
The First Global Evaluation of Dissolved Organic Carbon
Representation of Organic Aerosols and Evolution by Taylor Plot
Cross-cutting WG TFMM-TFEIP on SVOC emissions
Organic Aerosol is Ubiquitous in the Atmosphere
Gabriele Curci Model study of the impact of updated European biogenic emission inventory from NatAir on air quality using Chimere.
Yongtao Hu, Jaemeen Baek, M. Talat Odman and Armistead G. Russell
A. Aulinger, V. Matthias, M. Quante, Institute for Coastal Research
ACTRIS Aerosol Chemical Speciation Monitor (ACSM) Network and new filter off-line techniques to measure PM chemical composition and determine organic aerosol.
On-going developments of SinG: particles
PM modelling assessment in Northern Italy
Robert Griffin Institute for the Study of Earth, Oceans, and Space
Longer Term Aerosol Chemical speciation monitoring data during ACTRIS/EMEP activities ACSM Teams across Europe Many slides from Michael Bressi, JRC Italy.
S. SAUVAGE, V. RIFFAULT, A. SETYAN, V. CRENN (Mines Douai)
University of Alaska Fairbanks
Paul Scherrer Institut
Potential Anthropogenic Controls on Biogenic Organic Aerosol
Presentation transcript:

CHIMERE - Volatility Basis Set approach 18/05/10 Modeling of Organic Aerosol during the MEGAPOLI Summer Campaign in the Paris Region CHIMERE - Volatility Basis Set approach Q.J.Zhang (1)*, M.Beekmann (1), L. Poulain (2), A. Held (2), A. Wiedensohler (2), H. Herrmann (2), K. Kamilli (2), P. de Carlo (3), M. Crippa (3), R. Chirico (3), M. Heringa (3), Claudia Mohr (3), A. Prevot (3), U. Baltensperger (3), E. Freney (4), A. Schwarzenboeck (4), K. Sellegri (4), J.M. Pichon (4), L. Gomes (5), B. Bessagnet (6), S. Pandis (7), A. Hodzic(8)‏ zhang@lisa.univ-paris12.fr (1) Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), Université Paris Est et 7, CNRS, Créteil, France (2) Institute for Troposphärenforschung, Leipzig, Germany, (3) Paul Scherrer Institut, Villingen, Switzerland, (4) Laboratoire de Météorologie Physique, Clermont-Ferrand, France (5) Centre National de Recherche Météorologique, Toulouse, France (6) Institut National de l'EnviRonnement industriel et des rISques, Verneuil en Halatte, France (7) Foundation for Research and Technology, Hellas, University of Patras, Greece (8) National Center for Atmospheric Research, USA. * Also Aria technologies 2010/05/03 EGU, Vienna Modeling of OA during MEGAPOLI Summer Campaign in Paris Modeling of OA during MEGAPOLI Summer Campaign in Paris 1 1

18/05/10 Context & Objective SOA (Secondary Organic Aerosol): under-estimated in Chemistry Transport Models Volkamer et al., GRL, 2006 Comparison Model / Measurement, 05/2007-06/2007 LHVP , (urban MEGAPOLI site) Observed SOA (J. Sciare, LSCE)‏ Simulated SOA (classic)‏ Simulated anthropogenic SOA (classic)‏ MEGAPOLI Paris Campaign: Quantify primary and secondary sources of organic aerosols, in urban and in plume Objective: Improve simulation of SOA in CHIMERE (regional CTM)‏ Volatility Basis Set approach (VBS) )‏ Robinson et al., 2007 Lane et al. 2008 Compare with MEGAPOLI measurements Modeling of OA during MEGAPOLI Summer Campaign in Paris

SOA scheme in CHIMERE Classic scheme in CHIMERE 18/05/10 SOA scheme in CHIMERE Classic scheme in CHIMERE OH, O3, NO3 α∑SVOC (Surrogated Semi-volatile VOC species with distinct volatilities)‏ VOC precursors (Pun et Seigneur,2006, Bessagnet et al. 2008)‏ Phase transfer Aerosol VBS « Volatility Basis-Set » approach VOC precursors n ∑ SVOC with defined volatility bins OH (Robinson et al., 2007, Lane et al. 2008, Murphy and Pandis. 2009)‏ Modeling of OA during MEGAPOLI Summer Campaign in Paris

VBS approach main features 18/05/10 VBS approach main features Classic POA emission partitioning of POA (SVOC) emissions additional IVOC emissions Normalized emission factor with respect to classic POA emission Chemical aging Robinson et al., 2007, Murphy et Pandis. 2009 ∆Hv (kJ mol-1)‏ C* (µg m-3) at 298K Saturation concentration Semivolatile-SOA (S-SOA)‏ Modeling of OA during MEGAPOLI Summer Campaign in Paris Modeling of OA during MEGAPOLI Summer Campaign in Paris 4 4

Model configuration CHIMERE Gocart/LMDz GFS/MM5 domain Resolution 18/05/10 Model configuration Gocart/LMDz Meteorology GFS/MM5 domain Resolution CONT 0.5°× 0.5° GN9 9km ×9km CHIMERE Gas phase mechanism, 50 species,120 reactions MELCHIOR2 Inorganic mechanism (Nenes et al., 1998)‏ ISORROPIA Two-product method / VBS approach SOA Scheme EMEP Anthropogenic MEGAN Biogenic Emissions Modeling of OA during MEGAPOLI Summer Campaign in Paris Modeling of OA during MEGAPOLI Summer Campaign in Paris 5 5

Simulations with classic scheme (POA non-volatile)‏ 18/05/10 Simulations with classic scheme (POA non-volatile)‏ Simulations with VBS Total SOA=Oxygenated OA Partitioning of POA emissions (SVOC) + additional IVOC Lumped VOC according to SAPRC  4 volatility bins Biogenic SOA (BSOA)‏ VBS Classic Semivolatile-SOA Anthropogenic SOA Chemical aging (Lane et al. 2008)‏ (Robinson et al., 2007, Murphy and Pandis. 2009)‏ (Pun and Seigneur, 2006; Bessagnet al. 2008)‏ Modeling of OA during MEGAPOLI Summer Campaign in Paris

AMS measurements Aerodyne aerosol Mass spectrometer (AMS)‏ 18/05/10 AMS measurements Paris Aerodyne aerosol Mass spectrometer (AMS)‏  Organic Aerosol (OA)‏ LHVP: by IFT (urban site)‏ Preliminary simplified PMF (Positive Matrix) Factorization (Poor man’s PMF)‏  Hydrocarbon-like Organic Aerosol (HOA)‏  Biomass Burning Organic Aerosol (BBOA)‏ HOA+BBOA  Primary Organic Aerosol (POA)‏  Oxygenated Organic Aerosol (OOA)‏ OOA  S-SOA+ASOA+BSOA SIRTA: upwind of Paris agglomeration, by PSI (suburban site) Flight: by LaMP OA –LaMP (µg/m3)‏ Modeling of OA during MEGAPOLI Summer Campaign in Paris

Simulation results (LHVP-Urban site) vs. ground based AMS measurements 18/05/10 Paris Simulation results (LHVP-Urban site) vs. ground based AMS measurements HOA/BBOA AMS Poor man’s PMF POA Model-Classic HOA Model-VBS µg/m3 In VBS, POA SVOC+IVOC gas phase  reduce POA (aerosol)‏ OOA AMS Poor man’s PMF SOA Model -Classic OOA Model -VBS µg/m3 Continental Local Modeling of OA during MEGAPOLI Summer Campaign in Paris

OA (LHVP-Urban site) Continental 18/05/10 OA (LHVP-Urban site) Continental Classic  over-estimate peaks, close at background concentration µg/m3 VBS  close at peaks, underestimate background concentration µg/m3 S-SOA_VBS S-SOA+BSOA POA+BSOA Modeling of OA during MEGAPOLI Summer Campaign in Paris

Simulation results (SIRTA-Suburban site) 18/05/10 Paris Simulation results (SIRTA-Suburban site) vs. ground based AMS measurements OA AMS OA Model -Classic OA Model -VBS 20 µg/m3 16 Upwind  underestimated 12 8 4 July 01 July 02 July 03 July 04 July 05 July 06 July 07 July 08 July 09 July 10 July 11 July 12 July 13 July 14 July 15 July 16 July 17 July 18 July 19 July 20 July 21 July 22 Downwind µg/m3 S-SOA_VBS Mostly BSOA Continental Modeling of OA during MEGAPOLI Summer Campaign in Paris

Regional influence on OOA plume 18/05/10 Regional influence on OOA plume Anthropogenic Biogenic Local Modeling of OA during MEGAPOLI Summer Campaign in Paris

Background concentration 18/05/10 Local formation of OA vs. measurements on flight Flight 32 20090721 Measurement µg/m3 100KM Measurement OA Ox=O3+NO2 µg/m3 ppb Model VBS µg/m3 Background concentration Model-VBS Modeling of OA during MEGAPOLI Summer Campaign in Paris

18/05/10 Conclusion The “Volatility Basis Set” VBS approach has been implemented into a regional CTM (CHIMERE) and evaluated with measurements from the MEGAPOLI Paris summer campaign Urban / suburban sites The VBS approach avoids an overestimation of urban HOA OOA peaks with strong continental influx, and a local peak with strong simulated anthropogenic aerosol are better simulated by VBS => important contribution from S-SOA vs. ASOA Underestimation of OOA peaks with simulated BSOA origin, underestimation of background concentrations. Plume evolution (for one flight with strong OA formation in plume): VBS under-estimates background OA levels; slope of OA / Ox plot is OK within a factor of two OUTLOOK : Sensitivity tests under way (yields, chemical aging speed, POA emissions and volatility) Redo evaluation with full data set , including winter campaign Modeling of OA during MEGAPOLI Summer Campaign in Paris Modeling of OA during MEGAPOLI Summer Campaign in Paris 13 13

18/05/10 Acknowledgement The research leading to these results has received funding from the European Community's Seventh Framework Programme FP/2007-2011 MEGAPOLI under grant agreement n°212520. The MEGAPOLI campaign has received additional support by French ANR and LEFE/CHAT programs, and by the Ile de France SEPPE program. IFT, PSI and LaMP teams are thanked for providing AMS measurement data. Modeling of OA during MEGAPOLI Summer Campaign in Paris