1 Ken Pickering Project Scientist NASA GSFC Evaluation of CMAQ and WRF-Chem Simulations of Air Quality over the Baltimore-Washington.

Slides:



Advertisements
Similar presentations
Improving the View of Air Quality from Space Jim Crawford Science Directorate NASA Langley.
Advertisements

Simulating isoprene oxidation in GFDL AM3 model Jingqiu Mao (NOAA GFDL), Larry Horowitz (GFDL), Vaishali Naik (GFDL), Meiyun Lin (GFDL), Arlene Fiore (Columbia.
Quantification of the sensitivity of NASA CMS-Flux inversions to uncertainty in atmospheric transport Thomas Lauvaux, NASA JPL Martha Butler, Kenneth Davis,
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Changes in U.S. Regional-Scale Air.
The July – August 2014 DISCOVER-AQ and FRAPPÉ Field Campaigns in the Front Range Region of Colorado: Summary of Experiment Design and Preliminary Findings.
CO budget and variability over the U.S. using the WRF-Chem regional model Anne Boynard, Gabriele Pfister, David Edwards National Center for Atmospheric.
An Overview of Ozone and Precursor Temporal and Spatial Variability in DISCOVER-AQ Study Regions Ken Pickering, NASA GoddardScott Janz, NASA Goddard James.
1 Ken Pickering Project Scientist NASA GSFC The 2013 DISCOVER-AQ Field Campaigns in the San Joaquin Valley of California and.
Bay breeze enhanced air pollution event in Houston, Texas during the DISCOVER-AQ field campaign Christopher P. Loughner (University of Maryland) Melanie.
NO X Chemistry in CMAQ evaluated with remote sensing Russ Dickerson et al. (2:30-2:45PM) University of Maryland AQAST-3 June 13, 2012 Madison, WI The MDE/UMD.
Improving the Representation of Atmospheric Chemistry in WRF William R. Stockwell Department of Chemistry Howard University.
Data assimilation of trace gases in a regional chemical transport model: the impact on model forecasts E. Emili 1, O. Pannekoucke 1,2, E. Jaumouillé 2,
Integrating satellite observations for assessing air quality over North America with GEOS-Chem Mark Parrington, Dylan Jones University of Toronto
How sensitive are trace gas concentrations to the method used to parameterize clouds within CMAQ? Christopher P. Loughner 1, Dale J. Allen 1, Russell R.
1 Surface nitrogen dioxide concentrations inferred from Ozone Monitoring Instrument (OMI) rd GEOS-Chem USERS ` MEETING, Harvard University.
Objective: Work with the WRAP, CenSARA, CDPHE, BLM and EPA Region 8 to use satellite data to evaluate the Oil and Gas (O&G) modeled NOx emission inventories.
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,
Impact of Mexico City on Regional Air Quality Louisa Emmons Jean-François Lamarque NCAR/ACD.
Model Evaluation with Satellite Data: NO 2, HCHO, and Beyond Monica Harkey Tracey Holloway Alex Cohan Rob Kaleel.
Henry Fuelberg Nick Heath Sean Freeman FSU WRF-Chem During SEAC 4 RS.
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.
Ability of GEO-CAPE to Detect Lightning NOx and Resulting Upper Tropospheric Ozone Enhancement Conclusions When NO emissions from lightning were included.
1 Jim Crawford 1, Ken Pickering 2, Lok Lamsal 2, Bruce Anderson 1, Andreas Beyersdorf 1, Gao Chen 1, Richard Clark 3, Ron Cohen 4, Glenn Diskin 1, Rich.
High vertical resolution NO 2 -sonde data: Air quality monitoring and interpretation of satellite-based NO 2 measurements D. C. Stein Zweers, A.Piters,
Trans-Pacific Transport of Ozone and Reactive Nitrogen During Spring Thomas W. Walker 1 Randall V. Martin 1,2, Aaron van Donkelaar.
Prediction of Future North American Air Quality Gabriele Pfister, Stacy Walters, Mary Barth, Jean-Francois Lamarque, John Wong Atmospheric Chemistry Division,
Template Improving Sources of Stratospheric Ozone and NOy and Evaluating Upper Level Transport in CAMx Chris Emery, Sue Kemball-Cook, Jaegun Jung, Jeremiah.
A53Q-0445-Assessing the Suitability of MOZAIC Soundings of Trace Gases in the Lower Troposphere for Chemical Transport Model Evaluation Introduction Morgan.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Tropospheric Emission Spectrometer Case Study.
Estimating the Influence of Lightning on Upper Tropospheric Ozone Using NLDN Lightning Data Lihua Wang/UAH Mike Newchurch/UAH Arastoo Biazar/UAH William.
Lok Lamsal, Nickolay Krotkov, Randall Martin, Kenneth Pickering, Chris Loughner, James Crawford, Chris McLinden TEMPO Science Team Meeting Huntsville,
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.
Jonathan Pleim 1, Robert Gilliam 1, and Aijun Xiu 2 1 Atmospheric Sciences Modeling Division, NOAA, Research Triangle Park, NC (In partnership with the.
Simulation Experiments for GEO-CAPE Regional Air Quality GEO-CAPE Workshop September 22, 2009 Peter Zoogman, Daniel J. Jacob, Kelly Chance, Lin Zhang,
Presentation by: Dan Goldberg Co-authors: Tim Vinciguerra, Linda Hembeck, Sam Carpenter, Tim Canty, Ross Salawitch & Russ Dickerson 13 th Annual CMAS Conference.
MELANIE FOLLETTE-COOK KEN PICKERING, PIUS LEE, RON COHEN, ALAN FRIED, ANDREW WEINHEIMER, JIM CRAWFORD, YUNHEE KIM, RICK SAYLOR IWAQFR NOVEMBER 30, 2011.
Melanie Follette-Cook Christopher Loughner (ESSIC, UMD) Kenneth Pickering (NASA GSFC) CMAS Conference October 27-29, 2014.
Nitrogen Oxide Emissions Constrained by Space-based Observations of NO 2 Columns University of Houston Amir Souri, Yunsoo Choi, Lijun Diao & Xiangshang.
The Sensitivity of U.S. Surface Ozone Formation to NO x and VOCs as Viewed from Space: the Ozone Monitoring Instrument (OMI) Bryan Duncan 1, Yasuko Yoshida.
The effect of pyro-convective fires on the global troposphere: comparison of TOMCAT modelled fields with observations from ICARTT Sarah Monks Outline:
1 Air Quality during the Sept Houston DISCOVER-AQ Deployment and Preliminary Evaluation of NOAA CMAQ Air Quality Forecasts Kenneth Pickering, NASA.
2012 CMAS meeting Yunsoo Choi, Assistant Professor Department of Earth and Atmospheric Sciences, University of Houston NOAA Air quality forecasting and.
1 Ken Pickering Project Scientist NASA GSFC Gao Chen Data Manager NASA LaRC Jim Crawford Principal Investigator.
Clare Flynn, Melanie Follette-Cook, Kenneth Pickering, Christopher Loughner, James Crawford, Andrew Weinheimer, Glenn Diskin October 6, 2015 Evaluation.
Kenneth Pickering (NASA GSFC), Lok Lamsal (USRA, NASA GSFC), Christopher Loughner (UMD, NASA GSFC), Scott Janz (NASA GSFC), Nick Krotkov (NASA GSFC), Andy.
Melanie Follette-Cook (MSU/GESTAR) Christopher Loughner (ESSIC, UMD) Kenneth Pickering (NASA GSFC) Rob Gilliam (EPA) Jim MacKay (TCEQ) CMAS Oct 5-7, 2015.
Comparison of CMAQ Lightning NOx Schemes and Their Impacts Youhua Tang 1,2, Li Pan 1,2, Pius Lee 1, Jeffery T. McQueen 4, Jianping Huang 4,5, Daniel Tong.
Impact of lightning-NO and radiatively- interactive ozone on air quality over CONUS, and their relative importance in WRF-Chem M a t u s M a r t i n i.
Chemical forecast from NASA, U.Iowa & NCAR Arlindo DaSilva, NASA Goddard Pablo Saide, Greg Carmichael, U. Iowa Louisa Emmons, Mary Barth, Mijeong.
1 Impact on Ozone Prediction at a Fine Grid Resolution: An Examination of Nudging Analysis and PBL Schemes in Meteorological Model Yunhee Kim, Joshua S.
Model evolution of a START08 observed tropospheric intrusion Dalon Stone, Kenneth Bowman, Cameron Homeyer - Texas A&M Laura Pan, Simone Tilmes, Doug Kinnison.
The Regional Atmospheric Measurement Modeling and Prediction Program (RAMMPP) Russell Dickerson & Jeff Stehr CICS September 8, 2010 Image taken from URF.
Sensitivity of modeled vertical column NO 2, HCHO, glyoxal and O 3 to emission inventories in the Los Angeles Basin Si-Wan Kim NOAA/ESRL/CSD and CIRES,
Deriving Information on Surface Conditions from Column and VERtically Resolved Observations Relevant to Air Quality and VERtically Resolved Observations.
OMI Validation using the Pandora Spectrometer System Jay Herman, Nader Abuhassan, Alexander Cede 1.Validation of OMI satellite data for Ozone is fairly.
1 RAQMS-CMAQ Atmospheric Chemistry Model Data for the TexAQS-II Period : Focus on BCs impacts on air quality simulations Daewon Byun 1, Daegyun Lee 1,
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.
Geostationary satellite mission for air quality and coastal ecosystems One of 15 missions recommended to NASA for the next decade by the U.S. National.
WRF-Chem Modeling of Enhanced Upper Tropospheric Ozone due to Deep Convection and Lightning During the 2006 AEROSE II Cruise Jo nathan W. Smith 1,2, Kenneth.
Ship emission effect on Houston Ship Channel CH2O concentration ——study with high resolution model Ye Cheng.
Yuqiang Zhang1, Owen R, Cooper2,3, J. Jason West1
Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.
INTERCONTINENTAL TRANSPORT EXPERIMENT – NORTH AMERICA (INTEX-NA)
Chris Misenis*, Xiaoming Hu, and Yang Zhang
Diurnal Variation of Nitrogen Dioxide
The Value of Nudging in the Meteorology Model for Retrospective CMAQ Simulations Tanya L. Otte NOAA Air Resources Laboratory, RTP, NC (In partnership with.
Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.
Data Assimilation of TEMPO NO2: Winds, Emissions and PBL mixing
Presentation transcript:

1 Ken Pickering Project Scientist NASA GSFC Evaluation of CMAQ and WRF-Chem Simulations of Air Quality over the Baltimore-Washington Region During the July 2011 DISCOVER-AQ Field Campaign Kenneth Pickering, NASA GSFC Melanie Follette-Cook, GESTAR, GSFC Christopher Loughner, ESSIC, GSFC James Crawford, NASA LaRC and the DISCOVER-AQ Observation Team Jim Crawford Principal Investigator NASA LaRC Webpage:

Deriving Information on Surface Conditions from Column and VERtically Resolved Observations Relevant to Air Quality and VERtically Resolved Observations Relevant to Air Quality A NASA Earth Venture campaign intended to improve the interpretation of satellite observations to diagnose near-surface conditions relating to air quality Objectives: 1. Relate column observations to surface conditions for aerosols and key trace gases O 3, NO 2, and CH 2 O 2. Characterize differences in diurnal variation of surface and column observations for key trace gases and aerosols 3. Examine horizontal scales of variability affecting satellites and model calculations NASA P-3B NASA UC-12 NATIVE, EPA AQS, and associated Ground sites Investigation Overview Deployments and key collaborators Maryland, July 2011 (EPA, MDE, UMd, and Howard U.) SJV, California, January/February 2013 (EPA and CARB) Texas, September 2013 (EPA, TCEQ, and U. of Houston) TBD, Summer

Deployment Strategy Systematic and concurrent observation of column-integrated, surface, and vertically-resolved distributions of aerosols and trace gases relevant to air quality as they evolve throughout the day. 3 NASA UC-12 (Remote sensing) Continuous mapping of aerosols with HSRL and trace gas columns with ACAM NASA P-3B (in situ meas.) In situ profiling of aerosols and trace gases over surface measurement sites Ground sites In situ trace gases and aerosols Remote sensing of trace gas and aerosol columns Ozonesondes Aerosol lidar observations Three major observational components:

Science Flights July Flight StatisticsWFF P-3BLaRC UC-12 Sorties1427 Total Hours In situ soundings over ground sites and ship254 (~40 per site) Remote sensing passes over each ground site50+ Low altitude transects over I-95/BW Pkwy47 Remote sensing passes over the Chesapeake Bay50+ Flight ConditionsNumber of Flight Days AM/PM3/11 Weekday/Weekend11/3 Clean/Moderate/Polluted5/4/5 TES Special Observations/MISR overpass2/3 NOAA ship in Chesapeake Bay4 DISCOVER-AQ data allow extensive evaluation of regional air quality models.

5 P-3B flights spiral over MDE sites (typically 3 times per day, 2 hours apart) P-3B In Situ Airborne Measurements Bruce Anderson, NASA LaRCaerosol optical, microphysical, and chemical properties Andrew Weinheimer, NCARO 3, NO 2, NO, NO y Ronald Cohen, UC BerkeleyNO 2, ANs, PNs, HNO 3 Alan Fried, NCARHCHO Glenn Diskin, NASA LaRCH 2 O, CO, CH 4 Stephanie Vay, NASA LaRCCO 2 Armin Wisthaler, InnsbruckNon-methane hydrocarbons

WRF and CMAQ Simulations Time period: 24 May – 5 August Re-initialize WRF every 3 days except for soil temperature and soil moisture Length of each WRF run: 3.5 days (first 12 hours of each run is discarded) Initial and Boundary Conditions: North American Regional Reanalysis and MOZART Chemical Transport Model CMAQ run offline 36 km horizontal resolution 12 km 4 km1.33 km

Weather Research and Forecasting (WRF) Version 3.3 Model Options RadiationLW: RRTM SW: Goddard Surface LayerPleim-Xiu Land Surface ModelPleim-Xiu Boundary LayerACM2 CumulusKain-Fritsch (none for 1.3 km domain) MicrophysicsWSM-6 NudgingObservational and analysis nudging DampingVertical velocity and gravity waves damped at top of modeling domain CMAQ Version 5.0 Model Options Chemical MechanismCB05 AerosolsAER05 Chemical initial and boundary conditions MOZART CTM Biogenic emissions Lightning NOx BEIS on-line Allen et al. (2012, ACP) Dry depositionM3DRY

WRF/Chem simulation - Options Chemistry Chemical mechanismCBMZ Aerosol moduleMOSIAC (8 - bin) Initial & Boundary conditions MOZART4 EmissionsSMOKE (NEI05 projected to 2012) Biogenic EmissionsMEGAN Fire Emissions The Fire INventory (FINN) Meteorology & Physics Initial & Boundary conditions NARR PBLYSU MicrophysicsLin ConvectionNew Grell Scheme (G3) Longwave RadiationRRTM Shortwave RadiationOld Goddard scheme Land surface Unified NOAH LSM Grid nudging Coarse domain Observational nudging Coarse domain Simulation length: 6/27/ Z – 8/2/2011 0Z Meteorology was initialized every three days

WRF/Chem O 3 curtain and Weinheimer in-situ O 3 from the P3-B Flight #2 Tuesday 7/5/2011 Overall, WRF/Chem reproduced the O 3 observed during the campaign well Model output profile following the flight Data from P3-B (60 sec average shown) Model PBL height

WRF/Chem O 3 curtain and Weinheimer in-situ O 3 from the P3-B Flight #2 Saturday 7/2/2011 On several occasions, WRF/Chem underestimated O 3 above the PBL

PBL mean biases: WRF-Chem 4.5 ppbv CMAQ 7.9 ppbv FT mean biases: WRF-Chem 3.0 ppbv CMAQ 1.7 ppbv

WRF/Chem NO 2 curtain and Weinheimer in-situ NO 2 from the P3-B Flight #7 Saturday 7/16/2011 High bias in NO 2 was evident in the PBL

PBL mean biases: WRF-Chem 0.81 ppbv CMAQ 0.19 ppbv FT mean biases: WRF-Chem ppbv CMAQ ppbv

PBL mean biases: WRF-Chem 0.53 ppbv CMAQ 1.38 ppbv FT mean biases: WRF-Chem 0.12 ppbv CMAQ 0.35 ppbv

PBL mean biases: WRF-Chem 0.98 ppbv CMAQ 0.80 ppbv FT mean biases: WRF-Chem 0.32 ppbv CMAQ 0.24 ppbv

PBL mean biases: WRF-Chem ppbv CMAQ ppbv FT mean biases: WRF-Chem ppbv CMAQ ppbv

PBL mean biases: WRF-Chem ppbv CMAQ ppbv FT mean biases: WRF-Chem ppbv CMAQ ppbv

Summary of Mean Biases: Green ±10% SpeciesWRF-ChemCMAQ BLFTBLFT O 3 HighHighHighHigh NO 2 High LowHigh Low NO2 emissions too large? PNsHighHighHighHigh Conversion to PAN too rapid? ANsHighHighHighHigh Lifetime too long? HCHOLowLowLowLow VOC emissions too small? HCHO primary emissions? IsopreneLowLowLowLow Isoprene emissions in both BEIS3 and MEGAN low? COHighLowHighHigh

CMAQ 1.33 km CMAQ 4 km WRF- Chem 4 km Fair Hill Aldino Padonia Edgewood Furley E. S. Recreation Center Essex Beltsville Davidsonville Prince George’s County Equestrian Center Calvert County Southern Maryland Millington All Sites (ppbv) hour ozone biases at MDE sites

Summary The DISCOVER-AQ Maryland mission provided over 250 atmospheric profiles of trace gases and aerosols mostly in the 0.3 to 3 km layer CMAQ had slightly lower mean bias at surface sites compared with WRF-Chem Compared with P-3B aircraft observations, mean biases over all 14 flights were < ±10% for WRF-Chem O 3, CMAQ FT O 3, CMAQ NO 2, CO from both models, and WRF-Chem PBL isoprene Problem species in both models: peroxy nitrates, alkyl nitrates, HCHO, and isoprene Recycling more PNs and ANs back to NO x will increase the existing high biases for O 3 Model evaluation using OMI tropospheric NO 2 data underway Data from Maryland campaign publicly available; next mission in Jan/Feb 2013 in San Joaquin Valley, California.

Typically BC obs ng/m3 Typically BC obs ~50 ng/m3