Sensitivity of modeled vertical column NO 2 HCHO

Outline Use of TEMPO-like WRF-Chem model results to understand spatial and temporal variations of

Sources, emissions, and trends of tropospheric nitrogen oxides and volatile organic compounds Chemical Transport

Cal. Nex 2010 (California Research at the Nexus of Air Quality and Climate Change)

WRF-Chem NO 2 columns in the Los Angeles Basin 7/16/2010 14 PST Horizontal resolution:

WRF-Chem NO 2 columns: temporal variations 08 PST 11 PST 14 PST 17 PST

Diurnal variations of NO 2 column WRF-Chem Pasadena v. Fontana WRF-Chem v. MAX-DOAS at

Diurnal variations of model NO 2, HCHO, Glyoxal, and O 3 NO 2 HCHO

Bottom-up & Inverse Model Emission Inventories: - NEI 05: EPA National Emission Inventory 2005

WRF-Chem NO 2 columns from NEI 05, CARB 10, Inverse model 14 PST NEI

WRF-Chem HCHO columns from NEI 05, CARB 10, and Inverse model NEI 05 JB_NEI

WRF-Chem v. NOAA P 3 Aircraft HCHO Obs. : Bias CARB 10 Correlation coeff.

WRF-Chem Glyoxal and O 3 columns from different EIs Glyoxal: JB_NEI Glyoxal: CARB 10

WRF-Chem v. NOAA P 3 Aircraft O 3 Obs. : Bias CARB 10 megan

Sensitivity to Emission Inventories: Pasadena NOx emission VOC emission

Summary and Future Works • Used aircraft and ground-based data to evaluate regional model

Slides: 16

Download presentation

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 Mc. Keen, and Michael Trainer (NOAA/ESRL/CSD and CIRES) and many others Ground airborne MAX-DOAS observations: Sunil Baidar, Hilke Oetjen, Ivan Ortega, and Rainer Volkamer (Chemistry and biochemistry, U. of Colorado) NOAA P 3 aircraft data: Ilana Pollack, Tom Ryerson, and Carsten Warneke (NOAA/ESRL/CSD and CIRES)

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 Cal. Nex 2010 period • Bottom up emission inventories: EPA NEI 05, CARB 10 • Emission inventories from inverse model • Observational data: Aircraft in-situ and columns measurements • Potential of TEMPO resolving emission issues

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

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

WRF-Chem NO 2 columns in the Los Angeles Basin 7/16/2010 14 PST Horizontal resolution: 4 x 4 km 2 Pasadena Fontana LAX Ontario Riverside Irvine NO 2 columns (1015 molec. cm-2) TEMPO science question : what are the temporal and spatial variations of emissions of gases and aerosols important for air quality and climate?

WRF-Chem NO 2 columns: temporal variations 08 PST 11 PST 14 PST 17 PST Pasadena Fontana LAX Ontario Irvine (1015 molec. cm-2) Riverside

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

Diurnal variations of model NO 2, HCHO, Glyoxal, and O 3 NO 2 HCHO 5 x 1015 molec. cm-2 Glyoxal O 3 >10 ppbv

Bottom-up & Inverse Model Emission Inventories: - NEI 05: EPA National Emission Inventory 2005 - CARB 10: CARB Emission Inventory 2010 released in 2013 for research purpose - CO, NOx Inverse Model+NEI 05 VOC: Jerome Brioude et al. (2013) JB_NEI 05 - CO, NOx Inverse Model+VOC modification [Agnes Borbon et al. (2012)] JB_ABvoc

WRF-Chem NO 2 columns from NEI 05, CARB 10, Inverse model 14 PST NEI 05 JB_NEI CARB 10 WRF-Chem V. NOAA P 3 NO 2 CARB 10 (1015 molec. cm-2) CARB 10 megan Correlation coeff.

WRF-Chem HCHO columns from NEI 05, CARB 10, and Inverse model NEI 05 JB_NEI CARB 10 JB_ABvoc (1015 molec. cm-2)

WRF-Chem v. NOAA P 3 Aircraft HCHO Obs. : Bias CARB 10 Correlation coeff. CARB 10 megan CARB 10 v 31 WRF-Chem V. NOAA Twin-Otter AMAX-DOAS

WRF-Chem Glyoxal and O 3 columns from different EIs Glyoxal: JB_NEI Glyoxal: CARB 10 (1014 molec. cm-2) O 3: JB_NEI O 3: CARB 10 (1017 molec. cm-2)

WRF-Chem v. NOAA P 3 Aircraft O 3 Obs. : Bias CARB 10 megan CARB 10 v 31 Correlation coeff.

Sensitivity to Emission Inventories: Pasadena NOx emission VOC emission

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