1 Improvements to Ozone Forecast Guidance for the National Air Quality Forecast Capability NWS/NCEP/EMC & NOAA/OAR/ARL - EPA October 2, 2007.

Slides:



Advertisements
Similar presentations
Jared H. Bowden Saravanan Arunachalam
Advertisements

Bay breeze enhanced air pollution event in Houston, Texas during the DISCOVER-AQ field campaign Christopher P. Loughner (University of Maryland) Melanie.
Improving the Representation of Atmospheric Chemistry in WRF William R. Stockwell Department of Chemistry Howard University.
The AIRPACT-3 Photochemical Air Quality Forecast System: Evaluation and Enhancements Jack Chen, Farren Thorpe, Jeremy Avis, Matt Porter, Joseph Vaughan,
Regional Air Quality Modeling Progress at NOAA/NWS/NCEP
1 Expanded Ozone Forecast Guidance for the National Air Quality Forecast Capability NWS/NCEP/EMC & NOAA/OAR/ARL - EPA September 18, 2007.
Evaluation of Real-time Air Quality Forecasts from WRF-NMM/CMAQ and NMMB/CMAQ Using Discover-AQ P-3B Airborne Measurements Youhua Tang 1,2, Jeffery T.
Effects of climate change on future wildfire and its impact on regional air quality Hyun Cheol Kim, Dae-Gyun Lee, and Daewon Byun 1 Institute for Multidimensional.
The AIRPACT-3 Photochemical Air Quality Forecast System: Evaluation and Enhancements Jack Chen, Farren Thorpe, Jeremy Avis, Matt Porter, Joseph Vaughan,
Transitioning CMAQ for NWS Operational AQ Forecasting Jeff McQueen*, Pius Lee*, Marina Tsildulko*, G. DiMego*, B. Katz* R. Mathur,T. Otte, J. Pleim, J.
Office of Research and Development Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory Simple urban parameterization for.
Next Gen AQ model Need AQ modeling at Global to Continental to Regional to Urban scales – Current systems using cascading nests is cumbersome – Duplicative.
CMAQ (Community Multiscale Air Quality) pollutant Concentration change horizontal advection vertical advection horizontal dispersion vertical diffusion.
A Case Study Using the CMAQ Coupling with Global Dust Models Youhua Tang, Pius Lee, Marina Tsidulko, Ho-Chun Huang, Sarah Lu, Dongchul Kim Scientific Applications.
Performance of the National Air Quality Forecast Capability, Urban vs. Rural and Other Comparisons Jerry Gorline and Jeff McQueen  Jerry Gorline, NWS/OST/MDL.
A Modeling Investigation of the Climate Effects of Air Pollutants Aijun Xiu 1, Rohit Mathur 2, Adel Hanna 1, Uma Shankar 1, Frank Binkowski 1, Carlie Coats.
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.
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.
Higher Resolution Operational Models. Operational Mesoscale Model History Early: LFM, NGM (history) Eta (mainly history) MM5: Still used by some, but.
MELANIE FOLLETTE-COOK KEN PICKERING, PIUS LEE, RON COHEN, ALAN FRIED, ANDREW WEINHEIMER, JIM CRAWFORD, YUNHEE KIM, RICK SAYLOR IWAQFR NOVEMBER 30, 2011.
WRAP Experience: Investigation of Model Biases Uma Shankar, Rohit Mathur and Francis Binkowski MCNC–Environmental Modeling Center Research Triangle Park,
Preliminary Study: Direct and Emission-Induced Effects of Global Climate Change on Regional Ozone and Fine Particulate Matter K. Manomaiphiboon 1 *, A.
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.
Adaptation and Application of the CMAQ Modeling System for Real-time Air Quality Forecasting During the Summer of 2004 R. Mathur, J. Pleim, T. Otte, K.
Evaluation of several WRF/NMM- CMAQ vertical coupling configurations Pius Lee, Jeff McQueen, Marina Tsildulko, Geoff DiMego Sarah Lu and Bert Katz NOAA/NCEP.
1 Air Quality during the Sept Houston DISCOVER-AQ Deployment and Preliminary Evaluation of NOAA CMAQ Air Quality Forecasts Kenneth Pickering, NASA.
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 Meteorological Inputs on Surface O 3 Prediction Jianping Huang 9 th CMAS Annual Conference Oct. 12, 2010, Chapel, NC.
Transitioning unique NASA data and research technologies to the NWS AIRS Profile Assimilation - Case Study results Shih-Hung Chou, Brad Zavodsky Gary Jedlovec,
Barry Baker 1, Rick Saylor 1, Pius Lee 2 1 National Oceanic and Atmospheric Administration Air Resources Laboratory Atmospheric Turbulence and Diffusion.
Photo image area measures 2” H x 6.93” W and can be masked by a collage strip of one, two or three images. The photo image area is located 3.19” from left.
Applications of Models-3 in Coastal Areas of Canada M. Lepage, J.W. Boulton, X. Qiu and M. Gauthier RWDI AIR Inc. C. di Cenzo Environment Canada, P&YR.
1 Air Quality : National AQ Forecasting Capability surface O 3 and PM 2.5 Presented By: Pius Lee (OAR/ARL) Contributors: Jeffery McQueen, Jianping Huang,
An Exploration of Model Concentration Differences Between CMAQ and CAMx Brian Timin, Karen Wesson, Pat Dolwick, Norm Possiel, Sharon Phillips EPA/OAQPS.
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.
Developing an Interactive Atmosphere-Air Pollutant Forecast System Jeff McQueen, Youhua Tang, Sarah Lu, Ho-Chun Huang, Dongchul Kim, Pius Lee and Marina.
Template Reducing Vertical Transport Over Complex Terrain in Photochemical Grid Models Chris Emery, Ed Tai, Ralph Morris, Greg Yarwood ENVIRON International.
Post-processing air quality model predictions of fine particulate matter (PM2.5) at NCEP James Wilczak, Irina Djalalova, Dave Allured (ESRL) Jianping Huang,
Office of Research and Development Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory Simple urban parameterization for.
Analysis of Ozone Modeling for May – July 2006 in PNW using AIRPACT3 (CMAQ) and CAMx. Robert Kotchenruther, Ph.D. EPA Region 10 Nov CMAQ O 3 Prediction.
Diagnostic Study on Fine Particulate Matter Predictions of CMAQ in the Southeastern U.S. Ping Liu and Yang Zhang North Carolina State University, Raleigh,
THE MODELS-3 COMMUNITY MULTI- SCALE AIR QUALITY (CMAQ) MODEL: 2002 RELEASE – NEW FEATURES Jonathan Pleim, Francis Binkowski, Robin Dennis, Brian Eder,
New Features of the 2003 Release of the CMAQ Model Jonathan Pleim 1, Gerald Gipson 2, Shawn Roselle 1, and Jeffrey Young 1 1 ASMD, ARL, NOAA, RTP, NC 2.
Boundary layer depth verification system at NCEP M. Tsidulko, C. M. Tassone, J. McQueen, G. DiMego, and M. Ek 15th International Symposium for the Advancement.
Comparison of NOAA/NCEP 12km CMAQ Forecasts with CalNEX WP-3 Measurements Youhua Tang 1,2, Jeffery T. McQueen 2, Jianping Huang 1,2, Marina Tsidulko 1,2,
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division October 21, 2009 Evaluation of CMAQ.
Initial Results from the Diurnal Land/Atmosphere Coupling Experiment (DICE) Weizhong Zheng, Michael Ek, Ruiyu Sun, Jongil Han, Jiarui Dong and Helin Wei.
Atmospheric Modeling Division National Exposure Research Laboratory Three-dimensional Model Studies of Exchange Processes in the Troposphere: Use of Potential.
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,
The Impact of Lateral Boundary Conditions on CMAQ Predictions over the Continental US: a Sensitivity Study Compared to Ozonsonde Data Youhua Tang*, Pius.
Ozone and PM 2.5 verification in NAM-CMAQ modeling system at NCEP in relation to WRF/NMM meteorology evaluation Marina Tsidulko, Jeff McQueen, Pius Lee.
Emission reductions needed to meet proposed ozone standard and their effect on particulate matter Daniel Cohan and Beata Czader Department of Civil and.
1 NOAA-EPA’s National Air Quality Forecast Capability: Progress and Plans October 17, 2006 Paula M. Davidson 1, Nelson Seaman 1, Jeff McQueen 1, Rohit.
MRPO Technical Approach “Nearer” Term Overview For: Emissions Modeling Meteorological Modeling Photochemical Modeling & Domain Model Performance Evaluation.
Meteorological Development Laboratory / OST / National Weather Service  1200 and 0600 UTC OZONE 48-h experimental, 8-h (daily max) 48-h experimental,
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.
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.
Although this work was reviewed by EPA and approved for publication, it may not necessarily reflect official Agency policy Jonathan Pleim, Shawn Roselle,
Jonathan Pleim NOAA/ARL* RTP, NC A NEW COMBINED LOCAL AND NON-LOCAL PBL MODEL FOR METEOROLOGY AND AIR QUALITY MODELING * In Partnership with the U.S. Environmental.
1 “Air Quality Applications of Satellite Data” Shobha Kondragunta NOAA/NESDIS Center for Satellite Applications and Research Aura Science Team Meeting,
1 National Air Quality Forecasting Capability: Progress and Plans June 20, 2005 Paula M Davidson NWS Program Manager for Air Quality Forecasting.
On the Verification of Particulate Matter Simulated by the NOAA-EPA Air Quality Forecast System Ho-Chun Huang 1, Pius Lee 1, Binbin Zhou 1, Jian Zeng 6,
CalNex Forecast Prepared Saturday 29 May Anticipated Platform Activities WP-3D Saturday: evening-night flight, 7 pm takeoff Sunday: night-early.
Potential use of TEMPO AOD & NO2 retrievals to support wild fire plume & O3 & PM2.5 forecast in National Air Quality Forecasting Capability (NAQFC) Pius.
Update on the Northwest Regional Modeling System 2013
Evaluation of Operational and Experimental CMAQ Ozone and PM
Pius Lee, Youhua Tang, Jeff McQueen, Ho-Chun Huang,
Some thoughts on future air quality models from a WRF-Chem modeler
The Value of Nudging in the Meteorology Model for Retrospective CMAQ Simulations Tanya L. Otte NOAA Air Resources Laboratory, RTP, NC (In partnership with.
Presentation transcript:

1 Improvements to Ozone Forecast Guidance for the National Air Quality Forecast Capability NWS/NCEP/EMC & NOAA/OAR/ARL - EPA October 2, 2007

2 Acknowledgements NCEP/EMC Pius Lee – System design and implementation Marina Tsidulko – PBL & Chem Verification Youhua Tang – Regional In-line testing & LBC Ho-Chun Huang – Global dust/smoke system DT&E (NASA, NESDIS) Sarah Lu – Global data assimilation and feedback testing (NASA, NESDIS) Brad Ferrier, Mike Ek – WRF retrospective run Eric Rogers, Hui-Ya Chuang – NAM products Jeff McQueen – EMC AQ model team leader EPA AQ Forecast team (Mathur, Kang, Lin, Yu…)

3 NOAA-EPA AQF system North American Model (NAM) – –NAM 3D VAR Data Assimilation (sat radiances, radar winds, raob, ACARS, surface met) – –WRF-Non-hydrostatic Mesoscale Model (NMM) – –12 km 60 NMM hybrid sigma - pressure levels – –June 2007: Changes to landuse & roughness to address moist biases in Pac NW CMAQ V4.6 – –CB4 gas-phase chemistry w/ Euler Backward Iteration (EBI) solver – –Simplified aqueous phase chemistry – –PPM horizontal advection – –AERO 3 for aerosol developmental run Emissions: PREMAQ (SMOKE) – –Point, area: NEI 2001 projected to 2007 with DOE EGU estimates – –Mobile: Temperature dependence from MOBILE-6 estimates – –Biogenic: PREMAQ BEIS 3 – –Wild Fire Smoke (PM run only): 2001 inventory

4 268 grid cells 259 grid cells East “3x” Domain (GFS O3 LBC at top) Forecast Domains ( ) 48 h forecasts at 06 and 12Z CONUS “5x” Domain (clean, static BC) 1.WRF-CMAQ 2.06Z WRF-CMAQ/PM

5 NAM-CMAQ Coupling RunNAMCMAQ-Op (3X) (retired Sept. 18, 07) CMAQ-Exp (5X) & CMAQ-Dev (5X PM) DomainRotated Lat-Lon E grid Interp to Lambert-Conf. C grid Vertical Coordinate NMM Hybrid (60L)Interp to Sigma-P (22L)Common NMM Hybrid coord (22L) Radiation/ Photolysis Lacis-Hansen Bulk Re-compute radiation & clouds from NAM RH NAM Sfc Radiation for Photolosis Scaling PBLMellor-Yamada- Janjic (MYJ) local TKE NAM PBL height & RADM Eddy diffusivities Asymmetric Convective Mixing -2 (1 st Order closure for daytime PBL)** Clouds Aqueous Ferrier cloud water, graupel/ice NAM cloud waterNAM cloud water, graupel/ice Convective Cloud Mixing Betts-Miller-Janjic Mass Adjustment RADM-2 Walcek(1980)Asymmetric Convective Model (ACM) mixing Land Surface NOAH LSMCanopy resistance from NOAH LSM ** PM ** for Exp only

6 EMC Products Daily Max of 8h Ozone 1h Ozone Bias

7 EMC Web Products 1h, 24h avg hrly & Max PM & Profiles (Pius Lee)

8 Daily 8hr max Ozone Biases Op vs Exp over Eastern U.S. Summer 2006 Summer 2007 Both Op and Experimental Runs improved in 2007 For Operational run, NAM improvements partially responsible 7/1/07 8/1/07

9 Regional Performance, 1-h O3 Experimental Run Bias Reduced in High bias, up to +25 ppb Underprediction SW coast 2007 Bias reduced Good forecast for NW coast Underprediction SWC (LA basin) Forecast hour 12z 00z 12z 00z

10 California Performance 8h Max ozone pred vs obs (M. Tsidulko) Good: SAC, SJV Under: LA urban Over: East of LA Good: SJV Under: LA urban Over: SAC, East of LA Good: SJV Under: LA urban Over: SAC, East of LA

11 NAM vs RTMA 10 m Winds July 3rd 5 PM, 36 hour Forecasts LA Basin: NAM Temps are warmer; winds are stronger & more westerly NAM RTMA

12 NAM 2m Dew point Errors SW Coast (green) BIAS by Forecast hour BIAS for each day SW coast NW coast CONUS Dry bias can increase photolysis & ozone production can decrease deposition of pollutants over veg

13 Mid-Atlantic 8 h Max Performance July 10, 2007 Very Similar performance between operational and experimental Operational 3X Experimental 5X

14 NAM 30 h Precip Forecast July 10, 2007 NAM convective precip started earlier than predicted in Mid-Atlantic NAM Precip Prediction River Forecast Center 3 hrly total Precip Analysis

15 Exp 8h Max Regional Performance August 2, 2007 CIN CHAR ATL LOU NASH PIT Good forecasts for moderate event in PIT, DC, PHL, S. CT, Charlotte, Louisville, Cincinnati (clear skies)

16 Exp 8h Max Texas Performance August 11, 2007 Ozone buildup over stable marine layer w/ CONUS 5X run. This residual layer can recirculate onshore. OPERATIONAL EXPERIMENTAL

17 Exp – Op Ozone Difference 12 Z August 10, 2007 Forecast Ocean Land ACM

18 Summary Overall results – –Experimental run biases are improved NAM changes from 2006 to 2007 also have a positive impact (as Operational run biases improved) – –Skill scores are improved at lower levels and comparable at higher thresholds – –Experimental run provides previously unavailable guidance to Western U.S. California O3 forecasts improved – –Better performance in San Joaquin Valley – –Underprediction in LA urban area – –Some Overprediction in Sacramento Valley & downwind of LA NAM onshore winds near LA often too strong Upward lofting partially due to inconsistent NAM and CMAQ daytime unstable PBL physics (Vertical resolution may also have an impact) Impact of aerosols & forest fires on ozone production (Stockwell, et al. 2002) 5X overprediction along coastal urban areas – –ACM-2 stable, marine PBL mixing may be too weak Produces pollutant reservoir off-shore that can impact coastal urban areas (Houston, Long Island Sound, Lake Michigan…)

19 Recommendations Implement more consistent boundary layer and cloud mixing schemes – –Internal boundary layer processes near coastal regions – –Continue inline testing (WRF-Chem) Increase focus on chemical data assimilation in Global GSI – –coordination with AQF ESRL/GSD data assimilation, NESDIS, NASA… LA Basin/ Houston – –NMM high resolution experiments in coordination with ESRL/ PSD NMM study – –Test impact of aerosols/forest fires in California More complete chemistry – –CB05 more heterogeneous chemistry with aerosols Improved boundary conditions – –GFS-GOCART, HYSPLIT – –Spatially & Temporally varying Lateral Boundaries (currently static) – –Reduced gas phase chemistry (eg: RAQMS, Goloff & Stockwell, 2002) for ESMF/GFS

20 BACKUPS

21 Summer 2007 Evaluations (Errors not uncovered w/retro tests) Experimental/Developmental Runs: Significant under- prediction in upper Mid-West Deposition Velocity Added Mesophyll component for O3, NO, NO2 STATUS: Implemented inexper/dev runs on July 22 Minor impact on forecast  Increased photochemistry in Midwest Plume Rise STATUS: Corrected in exper/dev run on July 22 minor impact

Systems NAM/WRF-CMAQ 12 km runs SystemDomainVertical coupling RunsLBCs Old Operational 32p, 45 min Eastern U.S. (3X) 22L Loose: interp from WRF 48 h forecasts at 06 and 12 Z GFS ozone at model top; Same static boundaries below Experimental (Current Ops) 65p, 70 min CONUS (5X)22L Tight: Common hybrid 48 h forecasts at 06 and 12 Z Clean, static profiles Developmental 127p, 150 min CONUS w/ PM (5X) 22L Tight: Common hybrid 48 h forecasts at 06 Z Clean, static profiles