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,

Slides:



Advertisements
Similar presentations
Evaluation of NOx emission inventories in California using multi-satellite data sets, AMAX-DOAS, in-situ airborne measurements, and regional model simulations.
Advertisements

Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique Yuyan Cui 1,2 Jerome Brioude 1,2, Stuart McKeen 1,2,
An Investigation of Ammonia and Inorganic Particulate Matter in California during the CalNex Campaign AGU Fall Meeting 5 December 2012 Luke D. Schiferl,
Evaluation of Satellite NO 2 Columns over U. S. Power Plants using a Regional Atmospheric Chemistry Model Si-Wan Kim ESRL, NOAA and CIRES, U. of Colorado.
R. Ahmadov 1,2, S. McKeen 1,2, R. Bahreini 1,2, A. Middlebrook 2, J.A. deGouw 1,2, J.L. Jimenez 1,3, P.L. Hayes 1,3, A.L. Robinson 4, M. Trainer 2 1 Cooperative.
CO budget and variability over the U.S. using the WRF-Chem regional model Anne Boynard, Gabriele Pfister, David Edwards National Center for Atmospheric.
Diurnal Variability of Aerosols Observed by Ground-based Networks Qian Tan (USRA), Mian Chin (GSFC), Jack Summers (EPA), Tom Eck (GSFC), Hongbin Yu (UMD),
INDIRECT AEROSOL EFFECTS
Improving the Representation of Atmospheric Chemistry in WRF William R. Stockwell Department of Chemistry Howard University.
Integrating satellite observations for assessing air quality over North America with GEOS-Chem Mark Parrington, Dylan Jones University of Toronto
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California Observing System Simulation.
Remote Sensing & Emission Inventories: Best of two worlds Maria Kanakidou ECPL Univ of Crete Investigation of global budgets of.
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.
CalNex Data Workshop 11-Jan-2011 Characterizing near-shore and off-shore air masses in southern CA during CalNex Brian Lerner 1, 2, Jim Johnson 3, 4, Eric.
Southeast Nexus (SENEX) Studying the Interactions Between Natural and Anthropogenic Emissions at the Nexus of Air Quality and Climate Change A NOAA Field.
GEO-CAPE Emissions Working Group What are the benefits of geostationary (GEO) measurements for constraining emissions and chemical processes? Answer using.
Deriving vertical profiles of free tropospheric trace gases from ground based measurements: Implications for oxidation of atmospheric mercury Sean Coburn.
Coordinated US Initiative on Emissions Research Introduction and Goals Claire Granier and Greg Frost NOAA Earth System Research Laboratory, Chemical Sciences.
Tom Ryerson NOAA ESRL Chemical Sciences Division CalNex 2010: NOAA perspective Goal of this presentation:
Air Quality and Transport Study of the Los Angeles Basin Bo Tan M.S Student Department of Atmospheric sciences University of Nevada Reno – Desert Research.
AER Company Proprietary Information. ©Atmospheric and Environmental Research, Inc. (AER), Evaluation of CMAQ Simulations of NH 3 in California using.
Organic nitrates and ozone during SENEX Jingqiu Mao, Larry Horowitz, Peter M. Edwards, Kyung-Eun Min, Steve Brown, Ilana B. Pollack, Thomas B. Ryerson,
GEO-CAPE Atmosphere SWG activities Daniel J. Jacob Co-Lead, GEO-CAPE Atmosphere Science Working Group.
Mapping isoprene emissions from space Dylan Millet with
VOC emissions and trends in Los Angeles basin Agnès Borbon 1,2,3, Jessica B. Gilman 2,3, William C. Kuster 2, Stuart McKeen 2,3, John S. Holloway 2,3,
Improved representation of boreal fire emissions for the ICARTT period S. Turquety, D. J. Jacob, J. A. Logan, R. M. Yevich, R. C. Hudman, F. Y. Leung,
Randall Martin Space-based Constraints on Emission Inventories of Nitrogen Oxides Chris Sioris, Kelly Chance (Smithsonian Astrophysical Observatory) Lyatt.
Satellite Observations of Tropospheric Gases and Aerosols Randall Martin With contributions from: Rongming Hu (Dalhousie University) Chris Sioris, Xiong.
Randall Martin Space-based Constraints on Emissions of Nitrogen Oxides With contributions from: Chris Sioris, Kelly Chance (Smithsonian Astrophysical Observatory)
Satellite and Aircraft Based Constraints on NO X Emissions Randall Martin Chris Sioris Kelly Chance Tom Ryerson Andy Neuman Ron Cohen UC Berkeley Aaron.
Chemistry Climate Modeling of the UTLS An update on model inter-comparison and evaluation with observations Andrew Gettelman, NCAR & CCMVal Collaborators.
Nitrogen Oxide Emissions Constrained by Space-based Observations of NO 2 Columns University of Houston Amir Souri, Yunsoo Choi, Lijun Diao & Xiangshang.
Estimating anthropogenic NOx emissions over the US using OMI satellite observations and WRF-Chem Anne Boynard Gabriele Pfister David Edwards AQAST June.
The GEOS-CHEM Simulation of Trace Gases over China Li ZHANG and Hong LIAO Institute of Atmospheric Physics Chinese Academy of Sciences April 24, 2008.
2012 CMAS meeting Yunsoo Choi, Assistant Professor Department of Earth and Atmospheric Sciences, University of Houston NOAA Air quality forecasting and.
Clare Flynn, Melanie Follette-Cook, Kenneth Pickering, Christopher Loughner, James Crawford, Andrew Weinheimer, Glenn Diskin October 6, 2015 Evaluation.
Goal: “What are the sources and physical mechanisms that contribute to high ozone concentrations aloft that have been observed in Central and Southern.
CARB Board Meeting San Diego, 23 July 2009 DAVID PARRISH Chemical Sciences Division Earth System Research.
C. J. Senff, R. J. Alvarez II, R. M. Hardesty, A. O. Langford, R. M. Banta, W. A. Brewer, F. Davies, S. P. Sandberg, R. D. Marchbanks, A. M. Weickmann.
OVERVIEW OF ATMOSPHERIC PROCESSES: Daniel J. Jacob Ozone and particulate matter (PM) with a global change perspective.
SPEAKERS: Gabriele Pfister, Scientist III, National Center for Atmospheric Research (NCAR) Brad Pierce, Physical Scientist, NOAA Salient Questions: 1.What.
SATELLITE OBSERVATIONS OF ATMOSPHERIC CHEMISTRY Daniel J. Jacob.
Evaluation of wet scavenging for the May 29, 2012 DC3 severe storm case Megan Bela (U. Colorado), Mary Barth (NCAR), John Wong, O. Brian Toon (U. Colorado),
REGIONAL/GLOBAL INTERACTIONS IN ATMOSPHERIC CHEMISTRY Greenhouse gases Halocarbons Ozone Aerosols Acids Nutrients Toxics SOURCE CONTINENT REGIONAL ISSUES:
Measurement and Evaluation of VOC emissions Carsten Warneke NOAA Earth System Research Laboratory and CIRES, University of Colorado Boulder, Colorado Outline:
Air Resources Laboratory 1 Comprehensive comparisons of NAQFC surface and column NO 2 with satellites, surface, and field campaign measurements during.
Georgia Institute of Technology SUPPORTING INTEX THROUGH INTEGRATED ANALYSIS OF SATELLITE AND SUB-ORBITAL MEASUREMENTS WITH GLOBAL AND REGIONAL 3-D MODELS:
Regional Chemical Modeling in Support of ICARTT Topics:  How good were the regional forecasts?  What are we learning about the emissions?  What are.
Top-Down Emissions Studies using Atmospheric Observations and Modeling Greg Frost NOAA Earth System Research Laboratory Boulder, Colorado, USA  Why top-down.
Breakout Session 1 Air Quality Jack Fishman, Randy Kawa August 18.
University of California, Los Angeles Nocturnal Vertical Gradients of O 3, NO 2, NO 3, HONO, HCHO, and SO 2 during CalNex 2010 Tsai Catalina, Kam Weng.
Picture: METEOSAT Oct 2000 Tropospheric O 3 budget of the South Atlantic region B. Sauvage, R. V. Martin, A. van Donkelaar, I. Folkins, X.Liu, P. Palmer,
FIVE CHALLENGES IN ATMOSPHERIC COMPOSITION RESEARCH 1.Exploit satellite and other “top-down” atmospheric composition data to quantify emissions and export.
Ship emission effect on Houston Ship Channel CH2O concentration ——study with high resolution model Ye Cheng.
Modeling Ozone in the Eastern U. S
GEO-CAPE Atmosphere SWG activities
Randall Martin Dalhousie University
Top-down constraints on emissions of biogenic trace gases from North America Dylan Millet with D.J. Jacob, R.C. Hudman, S. Turquety, C. Holmes (Harvard)
SATELLITE OBSERVATIONS OF ATMOSPHERIC CHEMISTRY
Randall Martin Aaron Van Donkelaar Daniel Jacob Dorian Abbot
Chris Misenis*, Xiaoming Hu, and Yang Zhang
Satellite Remote Sensing of Ozone-NOx-VOC Sensitivity
Space-based Diagnosis of Surface Ozone Sensitivity to Anthropogenic Emissions Randall Martin Aaron Van Donkelaar Arlene Fiore.
FOUR MAJOR RESEARCH CHALLENGES FOR THE SECOND DECADE OF THE USGCRP
Diurnal Variation of Nitrogen Dioxide
Estimation of Emission Sources Using Satellite Data
Detection of anthropogenic formaldehyde over North America by oversampling of OMI data: Implications for TEMPO Lei Zhu and Daniel J. Jacob.
SATELLITE OBSERVATIONS OF OZONE PRECURSORS FROM GOME
MEASUREMENT OF TROPOSPHERIC COMPOSITION FROM SPACE IS DIFFICULT!
Updating a Fuel-based Inventory of Vehicle Emissions
Presentation transcript:

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)

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

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

CalNex 2010 (California Research at the Nexus of Air Quality and Climate Change) NOAA WP-3D (May-June 2010) NOAA Twin-Otter (May-July 2010) CU-AMAX-DOAS NO 2 columns In-Situ NO 2 Los Angeles

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/ 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

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

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 5x10 15 molec. cm -2 >10 ppbv HCHO O3O3 NO 2 Glyoxal

Bottom-up & Inverse Model Emission Inventories: - NEI05: EPA National Emission Inventory 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

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.

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

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.

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 )

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.

Sensitivity to Emission Inventories: Pasadena VOC emission NOx 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