1-D modeling of Fairbanks pollution plume in winter using MISTRA 1 Patrick Joyce, 2 Roland von Glasow, 1 William Simpson 1 University of Alaska Fairbanks.

Slides:



Advertisements
Similar presentations
Some recent studies using Models-3 Ian Rodgers Presentation to APRIL meeting London 4 th March 2003.
Advertisements

An Investigation of Ammonia and Inorganic Particulate Matter in California during the CalNex Campaign AGU Fall Meeting 5 December 2012 Luke D. Schiferl,
N emissions and the changing landscape of air quality Rob Pinder US EPA Office of Research and Development Atmospheric Modeling & Analysis Division.
Photochemical Model Performance for PM2.5 Sulfate, Nitrate, Ammonium, and pre-cursor species SO2, HNO3, and NH3 at Background Monitor Locations in the.
Diurnal Variability of Aerosols Observed by Ground-based Networks Qian Tan (USRA), Mian Chin (GSFC), Jack Summers (EPA), Tom Eck (GSFC), Hongbin Yu (UMD),
The semi-volatile nature of secondary organic aerosol (SOA) in the Mexico City Metropolitan Area November 2, 2007 EAS Graduate Student Symposium Christopher.
GEOS-Chem simulation for AEROCOM Organic Aerosol Inter-comparison SIMULATED YEAR: 2006 Gabriele Curci – CETEMPS Nov
Two-Moment Aerosol Microphysics (TOMAS) Development GEOS-CHEM User’s Meeting 4-6 April 2005 Funding: NSF / NASA Peter Adams Kaiping Chen Jeffrey Pierce.
METO 621 Lesson 24. The Troposphere In the Stratosphere we had high energy photons so that oxygen atoms and ozone dominated the chemistry. In the troposphere.
Li ZHANG, Hong LIAO, and Jianping LI Institute of Atmospheric Physics Chinese Academy of Sciences Impacts of Asian Summer Monsoon on Seasonal and Interannual.
Ultrafine Particles and Climate Change Peter J. Adams HDGC Seminar November 5, 2003.
1 00/XXXX © Crown copyright URBAN ATMOSPHERIC CHEMISTRY MODELLING AT THE METEOROLOGICAL OFFICE Dick Derwent Climate Research Urban Air Quality Modelling.
Improving regional air quality model results at the city scale : results from the EC4MACS project INERIS : Bertrand Bessagnet, Etienne Terrenoire, Augustin.
The robustness of the source receptor relationships used in GAINS Hilde Fagerli, EMEP/MSC-W EMEP/MSC-W.
1 Progress Report to MDE June 7, 2010 Dr. Konstantin Vinnikov, Acting State Climatologist for Maryland Prof. Russell Dickerson, Department of Atmospheric.
1 Mass Flux in a Horizontally Homogeneous Atmosphere A useful tool for emissions and lifetimes. Assume an atmosphere well- mixed in latitude and longitude;
1 Surface O 3 over Beijing: Constraints from New Surface Observations Yuxuan Wang, Mike B. McElroy, J. William Munger School of Engineering and Applied.
Nick Wagner, Steven S. Brown, William P. Dubé, Brian M. Lerner, Eric J. Williams - NOAA Earth System Research Lab, USA Theran Riedel, and Joel A. Thornton.
Jingqiu Mao, Daniel Jacob Harvard University Jennifer Olson(NASA Langley), Xinrong Ren(U Miami), Bill Brune(Penn State), Paul Wennberg(Caltech), Mike Cubison(U.
Estimating the impacts of emissions from single sources on secondary PM 2.5 and ozone using an Eulerian photochemical model 1 James T. Kelly, Kirk R. Baker,
The Sensitivity of Aerosol Sulfate to Changes in Nitrogen Oxides and Volatile Organic Compounds Ariel F. Stein Department of Meteorology The Pennsylvania.
Air Pollution and Climate Håkan Pleijel Biological and Environmental Sciences.
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.
Impact of a renewable biomass energy power plant in urban landscape with complex terrain in Central Italy: modelling assessment and suggestions for monitoring.
Aerosol Microphysics: Plans for GEOS-CHEM
AIR POLLUTION IN THE US TODAY: Ozone and PM are the major pollutants
Biosphere/Atmosphere Interactions in the Tropics.
Annual Simulations of Models-3/CMAQ: Issues and Lessons Learned Pat Dolwick, Carey Jang, Norm Possiel, Brian Timin, Joe Tikvart Air Quality Modeling Group.
Use of Airmass History Models & Techniques for Source Attribution Bret A. Schichtel Washington University St. Louis, MO Presentation to EPA Source Attribution.
Estimating the Contribution of Smoke and Its Fuel Types to Fine Particulate Carbon using a Hybrid- CMB Model Bret A. Schichtel and William C. Malm - NPS.
Meteorology of Winter Air Pollution In Fairbanks.
Air Pollution. 3/11/2014 Describe how we can reduce the amounts of CO2 in the atmosphere.
PM Formation in the Atmosphere Primary and Secondary PM Sulfate Formation in the Atmosphere SO4 Formation in Clouds Season SO2-SO4 Transformation rate.
GLOBAL SULFUR BUDGET [Chin et al., 1996] (flux terms in Tg S yr -1 ) Phytoplankton (CH 3 ) 2 S SO 2  1.3d DMS  1.0d OHNO 3 Volcanoes Combustion.
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.
Why is the photochemistry in Arctic spring so unique? Jingqiu Mao.
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.
The University of Reading Helen Dacre The Eyjafjallajökull eruption: How well were the volcanic ash clouds predicted? Helen Dacre and Alan Grant Robin.
INTERCONTINENTAL TRANSPORT OF OZONE AND ITS SEASONAL VARIATIONS IN EUROPE Dick Derwent rdscientific 2 nd ICAP Workshop Chapel Hill, North Carolina October.
Comparison of simple and advanced regional models in industrial regulation Bernard Fisher Risk Forecasting and Decision Science Environment Agency Examples.
First GURME Air Quality Forecasting Workshop for Latin American project Santiago, Chile October 2003 Pedro Oyola, CONAMA.
GEOS-CHEM Modeling for Boundary Conditions and Natural Background James W. Boylan Georgia Department of Natural Resources - VISTAS National RPO Modeling.
Diagnostic Study on Fine Particulate Matter Predictions of CMAQ in the Southeastern U.S. Ping Liu and Yang Zhang North Carolina State University, Raleigh,
August 1999PM Data Analysis Workbook: Characterizing PM1 Characterizing Ambient PM Concentrations and Processes What are the temporal, spatial, chemical,
June 29, 2011NASA/ARB Data Analyses Discussion1 What can We Learn from ARCTAS-CARB Data? Modeling and Meteorology Branch Planning and Technical Support.
 Methodology  Comparison with others instruments  Impact of daily AMF  Conclusions Tropospheric NO 2 from SAOZ F. Goutail, A. Pazmino, A. Griesfeller,
Diurnal and Seasonal Variations of Nitrogen Oxides Within Snowpack Air and the Overlying Atmosphere at Summit, Greenland C. Toro 1, R.E. Honrath 1†, L.J.
Regional Chemical Modeling in Support of ICARTT Topics:  How good were the regional forecasts?  What are we learning about the emissions?  What are.
MILAGRO Science Workshop -- October 2006 Summary of preliminary discussions on near-, mid-, and far-field chemistry W. Brune reporting Preliminary Findings.
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.
June 15, 2011 Bob Dulla Sierra Research. Fairbanks PM 2.5 Design Values* ( ) * 98 th Percentile Concentrations 2.
JRC- Brussels- PF JRC Brussels 1 Dentener, Royal Society, December, Global Modelling of Atmospheric Reactive reduced Nitrogen Frank Dentener JRC-
Atmospheric Lifetime and the Range of PM2.5 Transport Background and Rationale Atmospheric Residence Time and Spatial Scales Residence Time Dependence.
Environmental Science 5e
Chapter 24 Air Pollution. Stationary and Mobile Sources of Air Pollution Two Sources of Air Pollution 1. Stationary Sources: have a relatively fixed location.
Chapter 24 Air Pollution. Stationary and Mobile Sources of Air Pollution Two Sources of Air Pollution 1. Stationary Sources: have a relatively fixed location.
Ozone Sensitivity to Nitric Oxide Emissions in WRF-Chem
aerosol size and composition
Large-scale Modeling of Primary Production and Related Dimethylsulfide (DMS) Production in the Sea Ice Environment Clara Deal and Meibing Jin, International.
Atmospheric Chemistry
Satellite Remote Sensing of Ozone-NOx-VOC Sensitivity
Continuous measurement of airborne particles and gases
Simulation of Ozone and PM in Southern Taiwan
Alison Redington* and Derrick Ryall* Dick Derwent**
H. Fagerli, TFMM Bordeux, april 2008
UFP  PARTICLE NUMBER (ToN)
Benchmarking of chemical mechanisms
Fine particulate matter and ozone pollution in China: recent trends, future controls, and impact of climate change Daniel J. Jacob A typical day in Beijing.
Presentation transcript:

1-D modeling of Fairbanks pollution plume in winter using MISTRA 1 Patrick Joyce, 2 Roland von Glasow, 1 William Simpson 1 University of Alaska Fairbanks 2 University of East Anglia, Norwich, UK Fairbanks PM2.5 Modeling Symposium June 16, 2011

‣ Questions raised here: ‣ Are we NH 3 limited? ‣ Why so little particle NO 3 - ? ‣ Does secondary sulfate formation occur in MISTRA in Fairbanks simulation? ‣ My primary questions: ‣ What is the fate of NO x ? ‣ What is the timescale for removal? ‣ Is there significant deposition downwind?

Nocturnal nitrogen processing

MISTRA: 1-D column model Plume tracking Vertical resolution: 10m Integration time: 10s Photo-chemical Microphysics Vertical mixing / turbulent exchange Dry deposition Sensitivity studies

MISTRA: 1-D column model t=0h i) Initialize meteorology ‣ Nov avg temp, RH ‣ 300m mixing height (ARCTAS, 2008) ii) Initialize background “clean Arctic airmass” ‣ 40 ppb O 3 ‣ < 1 ug m -3 PM 2.5

MISTRA: 1-D column model t=0h t=2t=4 iii) Inject pollution ‣ NO to titrate O 3 (40 ppb NO x ) ‣ Std. urban trimodal aerosol distribution scaled to Nov. average ➡ SO 4 2- (+2H + ) aerosol to match sulfate Nov. average (DEC, 2008) ➡ NH 3 to bring molar NH 4 + /SO 4 2- = 2 at surface ‣ SO 2 to match Ft. W observations (Dick, 2004)

MISTRA: 1-D column model t=0h t=2t=4 t=50

NO x (ppb v ) NH 3 (ppb v ) SO 2 (ppb v )SO 4 2- (ug m -3 )

NO 3 - (ug m -3 )NH 4 + (ug m -3 ) N 2 O 5 (ppt v )HNO 3 (ppb v )

Aerosol reactivity is sensitive to NH 3 emission

Increased NH 3 emission creates increased NH 4 NO 3 downwind

NH 3 uptake is a matter of timescale 1/5x NH 3 1/2x NH 3 2x NH 3 5x NH 3 base

MISTRA does not produce secondary sulfur in winter Model time (h) Total column S (ug S m -2 ) MD S at surface (ug S m -3 ) Total S SO 2 SO % SO 2 13% SO 4 2- T = -15C Nov. photolysis

MISTRA does produce secondary sulfur in summer Model time (h) Total column S (ug S m -2 ) MD S at surface (ug S m -3 ) Total S SO 2 SO 4 2- ~10% SO 2 converted in 48-h T = +15C June 21 photolysis

Conclusions ‣ NH 4 + /SO 4 2- measurements downtown show we are NH 3 neutral or excess ‣ Modeled HNO 3 formation peaks ~24h downwind ‣ MISTRA produces no secondary sulfate in winter simulation This project was funded by NSF under grant ATM