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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,

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Presentation on theme: "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,"— Presentation transcript:

1 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, U. of Colorado Contributors Emission inventory: Wayne Angevine, Ravan Ahmadov, Jerome Brioude, Gregory Frost, Stuart McKeen, and Michael Trainer (NOAA/ESRL/CSD and CIRES) and many others Ground and airborne MAX-DOAS observations: Sunil Baidar, Hilke Oetjen, Ivan Ortega, and Rainer Volkamer (Chemistry and biochemistry, U. of Colorado) NOAA P3 aircraft data: Ilana Pollack, Tom Ryerson, and Carsten Warneke (NOAA/ESRL/CSD and CIRES)

2 Outline Use of TEMPO-like WRF-Chem model results to understand spatial and temporal variations of emissions Spatial and temporal variation of simulated NO 2 columns over the LA Basin (model resolution 4 x 4 km 2 ) Diurnal variation of simulated NO 2, HCHO, Glyoxal, and O 3 columns Sensitivity of the columns to emission inventories over the LA Basin during the CalNex 2010 period Bottom up emission inventories: EPA NEI05, CARB10 Emission inventories from inverse model Observational data: Aircraft in-situ and columns measurements Potential of TEMPO resolving emission issues

3 Sources, emissions, and trends of tropospheric nitrogen oxides and volatile organic compounds Chemical Transport Model (WRF-Chem by NOAA, NCAR, and many others) Measured Atmospheric Composition = Simulated Composition?  Emission Trend, Error

4 CalNex 2010 (California Research at the Nexus of Air Quality and Climate Change) http://www.esrl.noaa.gov/csd/calnex NOAA WP-3D (May-June 2010) NOAA Twin-Otter (May-July 2010) CU-AMAX-DOAS NO 2 columns In-Situ NO 2 Los Angeles

5 WRF-Chem NO 2 columns in the Los Angeles Basin NO 2 columns (10 15 molec. cm -2 ) LAX Pasadena Fontana Irvine Ontario Riverside 7/16/2010 14 PST TEMPO science question : what are the temporal and spatial variations of emissions of gases and aerosols important for air quality and climate? Horizontal resolution: 4 x 4 km 2

6 WRF-Chem NO 2 columns: temporal variations 08 PST11 PST 14 PST17 PST WRF-Chem CO,NOx INV (10 15 molec. cm -2 ) 14 PST 08 PST 11 PST 17 PST LAX Pasadena Fontana Irvine Ontario Riverside

7 Diurnal variations of NO 2 column WRF-Chem Pasadena v. Fontana WRF-Chem v. MAX-DOAS at Fontana Morning satellite data  Help to define pre-existing conditions Provide better model initial condition Model drift during nighttime can be fixed Afternoon satellite data  Emissions + Sea breeze transport

8 Diurnal variations of model NO 2, HCHO, Glyoxal, and O 3 5x10 15 molec. cm -2 >10 ppbv HCHO O3O3 NO 2 Glyoxal

9 Bottom-up & Inverse Model Emission Inventories: - NEI05: EPA National Emission Inventory 2005 - CARB10: CARB Emission Inventory 2010 released in 2013 for research purpose - CO, NOx Inverse Model+NEI05 VOC: Jerome Brioude et al. (2013) JB_NEI05 - CO, NOx Inverse Model+VOC modification [Agnes Borbon et al. (2012 )] JB_ABvoc

10 WRF-Chem NO 2 columns from NEI05, CARB10, Inverse model 08 PST11 PST 14 PST17 PST WRF-Chem CO,NOx INV (10 15 molec. cm -2 ) JB_NEI CARB10 NEI05 WRF-Chem V. NOAA P3 NO 2 14 PST CARB10 megan Correlation coeff.

11 WRF-Chem HCHO columns from NEI05, CARB10, and Inverse model 08 PST11 PST 14 PST17 PST WRF-Chem CO,NOx INV JB_NEI CARB10 NEI05 (10 15 molec. cm -2 ) JB_ABvoc

12 08 PST11 PST 14 PST17 PST WRF-Chem CO,NOx INV WRF-Chem v. NOAA P3 Aircraft HCHO Obs.: Bias WRF-Chem V. NOAA Twin-Otter AMAX-DOAS CARB10 megan CARB10v31 Correlation coeff.

13 WRF-Chem Glyoxal and O 3 columns from different EIs 08 PST11 PST 14 PST17 PST WRF-Chem CO,NOx INV Glyoxal: CARB10 Glyoxal: JB_NEI (10 17 molec. cm -2 ) O 3 : JB_NEIO 3 : CARB10 (10 14 molec. cm -2 )

14 08 PST11 PST 14 PST17 PST WRF-Chem CO,NOx INV WRF-Chem v. NOAA P3 Aircraft O 3 Obs.: Bias CARB10 megan CARB10v31 Correlation coeff.

15 Sensitivity to Emission Inventories: Pasadena VOC emission NOx emission

16 Summary and Future Works Used aircraft and ground-based data to evaluate regional model system (WRF-Chem) using various state-of-the-art emission inventories over the LA Basin Explored sensitivity of NO 2 and HCHO columns to different emissions inventories We are exploring formation of other secondary species (O 3, glyoxal) using modeling with field measurements and satellite data Plan to simulate LEO and GEO HCHO columns - Comparison with LEO satellite HCHO columns - Provide input for precision and frequency of GEO data

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