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Introduction

RAQMS-CMAQ Atmospheric Chemistry Model Data for the TexAQS-II Period : Focus on BCs impacts on air quality simulations.

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Introduction

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  1. RAQMS-CMAQ Atmospheric Chemistry Model Datafor the TexAQS-II Period :Focus on BCs impacts on air quality simulations Daewon Byun1, Daegyun Lee1, Hyuncheol Kim1, Soontae Kim1, Fong Ngan1; Brad Pierce2; Jassim Al-Saadi3, Dorreen Neil3; James Szykman4; Todd Schaack5; Chieko Kittaka6 1University of Houston, IMAQS; 2NOAA/NESDIS; 3NASA/Langley; 4EPA/ORD; 5University of Wisconsin;6Science Systems and Applications, Inc 2008-10-07

  2. Introduction • For the regional scale air quality simulations,boundary conditions are one of the most important inputsbecause they influence the temporal variations and spatial distributions of the pollutants. • One of the most common method to generate BCs inputs isutilization of global scale model outputs. • We have performed CMAQ simulations with three different BCs- Today’s results are preliminary Objective of the study 1. Assessment of boundary condition impacts on regional air quality simulations- BCs impacts on surface, middle and upper layers - Interactions between troposphere and lower stratosphere 2. Better simulations of regional air quality for the TexAQS II period,using boundary conditions generated from RAQMS which is fully assimilated with satellite data

  3. RAQMS : Global Chem/Aero Analysis - 2 degree longitude x 2 degree latitude - 35 vertical layers - Initialized with NOAA GFS Global Met. - Satellite data assimilation (MLS,TES, MODIS) CMAQ : Regional CTM - 36km – 12km – 4km domain - 23 vertical layers - MM5 w/ multiscale nest-down data assimilation - NEI 2002 + TCEQ special inventory emission 4km 12km 36km Methodology : RAQMS-CMAQ

  4. 4km 12km 36km MM5/SMOKE/CMAQ Model Simulations • MM5 simulations are improved by multiscale nest-down data assimilation • Modeling period : 2006-08-23 ~ 2006-09-09 • 3 CMAQ simulations with different boundary conditions (BCON) (1) CMAQ predefined profile BCON (2) Typical year BCON (GEOS-Chem 2002 outputs without data assimilation) (3) BCON from fully data assimilated RAQMS outputs

  5. < Profile > East East East South South South North North North West West West 20 km 20 km 5 km 5 km < RAQMS: 8/24~9/9/2006> 0 km 0 km Mean Ozone BCON from Profile, Typical year data, RAQMS w/ data assimilations < Typical Year: 8/24~9/9/2006 > 1.5 km • PF- Vertical variations only - Constant value at each levels • TY : Vertical/spatial variations • RAQMS - Strong spatial/vertical variations - High ozone values at the top layer 1.5 km

  6. BCs effects on surface layer: 9/3/2006 12(cst) < RAQMS > < Typical Year > < Profile > < TY-PF > < RQ-PF > O3 diff. - Bndy cells: 20ppb - Inner cells: 2~4ppb BCs effects on Surface layer < animation >

  7. BCs effects on lower troposphere: 14 (1.5km) layer, 9/3/2006 < RAQMS > < Typical Year > < Profile > < TY-PF > < RQ-PF > O3 diff. - Bndy cells: 20ppb - Inner cells: 2~8ppb

  8. BCs effects on middle troposphere: 18 (5~6 km) layer, 9/3/2006 < RAQMS > < Typical Year > < Profile > < TY-PF > < RQ-PF > O3 diff. - Over 30ppb

  9. TY PF RAQMS TY-PF RQ-PF TY-PF RQ-PF TY PF RAQMS BCON effects on upper troposphere: 21 (12km) & Top layer 23 (20km)

  10. “ What physical processes are important to bring down these upper-tropospheric high ozone anomaly to the surface level ? ”

  11. Surface Weather chart 9/3~9/5/2006 2006-09-03 06:00 CST 2006-09-04 06:00 CST 2006-09-05 06:00 CST Frontal passage • From Central USA including center of Texas state • To Gulf of Mexico

  12. 500mb Weather chart 9/4~9/6/2006 2006-09-05 06:00 CST 2006-09-04 06:00 CST 2006-09-06 06:00 CST 500mb weather chart • From 2006-09-03 18:00 CST • To 2006-09-06 18:00 CST • Every 12 hours< animation >

  13. 4 km 4 km X & Y Cross section of ozone conc. at 2006-09-04 06:00 CST

  14. 4 km 4 km X & Y Cross section of ozone conc. at 2006-09-04 18:00 CST

  15. 4 km 4 km X & Y Cross section of ozone conc. at 2006-09-05 18:00 CST

  16. Comparison with ozonesonde profile

  17. Summary of preliminary results Summary (1) CMAQ simulations with three different BCs (Profile, Typical Year, RAQMS) showed that the satellite data assimilated BC (RAQMS) impact model results throughout the layers (from top to surface layer) (2) With RAQMS BC, we could simulate the ozone intrusion from the stratosphere to the troposphere, showing the lower stratospheric ozone is entrained into the middle troposphere behind the cold front. - The effect reached down to 2.5km level Future work (1) CMAQ tracer mode simulation with 3 different boundary conditions to evaluate BCs impacts quantitatively. (2) Verification using various measurement data : - Ozonesonde, ground monitoring, aircraft data (3) Effects of long-range transported aerosols from the RAQMS BC, such as Saharan dust

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