Simulation Experiments for TEMPO Air Quality Objectives Peter Zoogman, Daniel Jacob, Kelly Chance, Xiong Liu, Arlene Fiore, Meiyun Lin, Katie Travis, Annmarie.

Slides:



Advertisements
Similar presentations
MODELING TRANSPORT OF OZONE AND FINE PARTICLES TO AND FROM NORTH AMERICA Daniel J. Jacob Harvard University with Arlene M. Fiore, Rokjin Park, Colette.
Advertisements

CO budget and variability over the U.S. using the WRF-Chem regional model Anne Boynard, Gabriele Pfister, David Edwards National Center for Atmospheric.
15% 1. ABSTRACT We show results from joint TES-OMI retrievals for May, We combine TES and OMI data by linear updates from the spectral residuals.
GEO-CAPE COMMUNITY WORKSHOP MAY Vijay Natraj 1, Xiong Liu 2, Susan Kulawik 1, Kelly Chance 2, Robert Chatfield 3, David P. Edwards 4, Annmarie.
Validation of Tropospheric Emission Spectrometer (TES) nadir stare ozone profiles using ozonesonde measurements during Arctic Research on the Composition.
Validation of Tropospheric Emission Spectrometer (TES) nadir stare ozone profiles using ozonesonde measurements during Arctic Research on the Composition.
Data assimilation of trace gases in a regional chemical transport model: the impact on model forecasts E. Emili 1, O. Pannekoucke 1,2, E. Jaumouillé 2,
Integrating satellite observations for assessing air quality over North America with GEOS-Chem Mark Parrington, Dylan Jones University of Toronto
Transpacific transport of pollution as seen from space Funding: NASA, EPA, EPRI Daniel J. Jacob, Rokjin J. Park, Becky Alexander, T. Duncan Fairlie, Arlene.
Improving estimates of CO 2 fluxes through a CO-CO 2 adjoint inversion Monika Kopacz, Daniel J. Jacob, Parvadha Suntharalingam April 12, rd GEOS-Chem.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California Observing System Simulation.
Intercontinental Source Attribution of Ozone Pollution at Western U.S. Sites Using an Adjoint Method Lin Zhang, Daniel J. Jacob, Monika Kopacz Harvard.
1 Cross Evaluation of OMI, TES, and GEOS-Chem Tropospheric Ozone Xiong Liu 1, Lin Zhang 2, Kelly Chance 1, John R. Worden 3, Kevin W. Bowman 3, Thomas.
GEOS-CHEM GLOBAL 3-D MODEL OF TROPOSPHERIC CHEMISTRY Assimilated NASA/DAO meteorological observations for o x1 o to 4 o x5 o horizontal resolution,
1 Using satellite data in joint CO 2 -CO inversion to improve CO 2 flux estimates Helen Wang 1,4, Daniel J. Jacob 1, Monika Kopacz 1, Dylan B.A. Jones.
ATMOSPHERIC CHEMISTRY: FROM AIR POLLUTION TO GLOBAL CHANGE AND BACK Daniel J. Jacob.
Tropospheric Ozone Laminar Structures and Vertical Correlation Lengths Michael J. Newchurch 1, Guanyu Huang 1, Brad Pierce 3, John Burris 2, Shi Kuang.
Intercomparison methods for satellite sensors: application to tropospheric ozone and CO measurements from Aura Daniel J. Jacob, Lin Zhang, Monika Kopacz.
OMI HCHO columns Jan 2006Jul 2006 Policy-relevant background (PRB) ozone calculations for the EPA ISA and REA Zhang, L., D.J. Jacob, N.V. Smith-Downey,
GEO-CAPE Atmosphere SWG activities Daniel J. Jacob Co-Lead, GEO-CAPE Atmosphere Science Working Group.
Assimilating tropospheric ozone data from TES Mark Parrington, Dylan Jones University of Toronto Kevin Bowman Jet Propulsion Laboratory California Institute.
Simulation Experiments for GEO-CAPE Regional Air Quality GEO-CAPE Workshop September 22, 2009 Peter Zoogman, Daniel J. Jacob, Kelly Chance, Lin Zhang,
Data Assimilation Working Group Dylan Jones (U. Toronto) Kevin Bowman (JPL) Daven Henze (CU Boulder) 1 IGC7 4 May 2015.
Tiger Team project : Processes contributing to model differences in North American background ozone estimates NASA AQAST Meeting University of Wisconsin-Madison.
CO 2 Diurnal Profiling Using Simulated Multispectral Geostationary Measurements Vijay Natraj, Damien Lafont, John Worden, Annmarie Eldering Jet Propulsion.
Assimilating chemical compound with a regional chemical model Chu-Chun Chang 1, Shu-Chih Yang 1, Mao-Chang Liang 2, ShuWei Hsu 1, Yu-Heng Tseng 3 and Ji-Sung.
Melanie Follette-Cook Christopher Loughner (ESSIC, UMD) Kenneth Pickering (NASA GSFC) CMAS Conference October 27-29, 2014.
Results Figure 2 Figure 2 shows the time series for the a priori and a posteriori (optimized) emissions. The a posteriori estimate for the CO emitted by.
Combining Simultaneously Measured UV and IR Radiances from OMI and TES to Improve Tropospheric Ozone Profile Retrievals Dejian Fu 1, John Worden 1, Susan.
Deguillaume L., Beekmann M., Menut L., Derognat C.
Inverse modeling in a linear algebra framework State vector x (dimension n) Observation vector y (dimension m) correlations between vector elements Use.
INVERSE MODELING TECHNIQUES Daniel J. Jacob. GENERAL APPROACH FOR COMPLEX SYSTEM ANALYSIS Construct mathematical “forward” model describing system As.
Variability in surface ozone background over the United States: Implications for air quality policy Arlene Fiore 1, Daniel J. Jacob, Hongyu Liu 2, Robert.
SPEAKERS: Gabriele Pfister, Scientist III, National Center for Atmospheric Research (NCAR) Brad Pierce, Physical Scientist, NOAA Salient Questions: 1.What.
Use of space-based tropospheric NO 2 observations in regional air quality modeling Robert W. Pinder 1, Sergey L. Napelenok 1, Alice B. Gilliland 1, Randall.
Estimating background ozone in surface air over the United States with global 3-D models of tropospheric chemistry Description, Evaluation, and Results.
Improved understanding of global tropospheric ozone integrating recent model developments Lu Hu With Daniel Jacob, Xiong Liu, Patrick.
REGIONAL/GLOBAL INTERACTIONS IN ATMOSPHERIC CHEMISTRY Greenhouse gases Halocarbons Ozone Aerosols Acids Nutrients Toxics SOURCE CONTINENT REGIONAL ISSUES:
MACC-II analyses and forecasts of atmospheric composition and European air quality: a synthesis of observations and models Richard Engelen & the MACC-II.
Using CO observations from space to track long-range transport of pollution Daniel J. Jacob with Patrick Kim, Peter Zoogman, Helen Wang and funding from.
Error correlation between CO 2 and CO as a constraint for CO 2 flux inversion using satellite data from different instrument configurations Helen Wang.
Influence of Lightning-produced NOx on upper tropospheric ozone Using TES/O3&CO, OMI/NO2&HCHO in CMAQ modeling study M. J. Newchurch 1, A. P. Biazar.
Geostationary satellite mission for air quality and coastal ecosystems One of 15 missions recommended to NASA for the next decade by the U.S. National.
Breakout Session 1 Air Quality Jack Fishman, Randy Kawa August 18.
ORIGIN OF BACKGROUND OZONE IN SURFACE AIR OVER THE UNITED STATES: CONTRIBUTION TO POLLUTION EPISODES Daniel J. Jacob and Arlene M. Fiore Atmospheric Chemistry.
BACKGROUND AEROSOL IN THE UNITED STATES: NATURAL SOURCES AND TRANSBOUNDARY POLLUTION Daniel J. Jacob and Rokjin J. Park with support from EPRI, EPA/OAQPS.
Background ozone in surface air over the United States Arlene M. Fiore Daniel J. Jacob US EPA Workshop on Developing Criteria for the Chemistry and Physics.
Comparison of adjoint and analytical approaches for solving atmospheric chemistry inverse problems Monika Kopacz 1, Daniel J. Jacob 1, Daven Henze 2, Colette.
Xiaomeng Jin and Arlene Fiore
Meteorological drivers of surface ozone biases in the Southeast US
Regional O3 OSSEs Brad Pierce (NOAA)
INTERCONTINENTAL TRANSPORT: CONCENTRATIONS AND FLUXES
Daniel J. Jacob Harvard University
GEO-CAPE Atmosphere SWG activities
Peter Zoogman, Daniel Jacob
Monika Kopacz, Daniel Jacob, Jenny Fisher, Meghan Purdy
Randall Martin Aaron Van Donkelaar Daniel Jacob Dorian Abbot
Aura Science Team Meeting
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.
CONSISTENCY among MOPITT, SCIA, AIRS and TES measurements of CO using the GEOS-Chem model as a comparison.
Continental outflow of ozone pollution as determined by ozone-CO correlations from the TES satellite instrument Lin Zhang Daniel.
Intercomparison of tropospheric ozone measurements from TES and OMI –
SCALE ISSUES IN MODELING INTERCONTINENTAL TRANSPORT
INTEX-B flight tracks (April-May 2006)
Lin Zhang, Daniel J. Jacob, Jennifer A
Using satellite observations of tropospheric NO2 columns to infer trends in US NOx emissions: the importance of accounting for the NO2 background Rachel.
Intercomparison of tropospheric ozone measurements from TES and OMI
Off-line 3DVAR NOx emission constraints
Presentation transcript:

Simulation Experiments for TEMPO Air Quality Objectives Peter Zoogman, Daniel Jacob, Kelly Chance, Xiong Liu, Arlene Fiore, Meiyun Lin, Katie Travis, Annmarie Eldering, Vijay Natraj, Susan Kulawik, David Edwards, Helen Worden TEMPO Science Team Meeting July 24, 2013

The Difficulty of Ozone Air Quality from Space Ozone concentrations very heterogeneous both spatially and temporally DIAL over Huntsville, AL [Newchurch et al, 2009] Ozone chemistry complex and non-linear Short timescales  large diurnal variation NAS/EPA: current ground/sonde network inadequate for air quality monitoring [Fishman et al. 2008]

Observing System Simulation Experiment a priori = GEOS-Chem model “True” = independent model a posteriori = GEOS-Chem + assimilation of synthetic observations  attempt to reproduce “true” atmosphere What additional information is provided by addition of a new instrument?

Science Questions What are the measurement requirements for geostationary observations to constrain ozone in the boundary layer? How can we use TEMPO observations to monitor and attribute air quality exceedances? Can concurrent geostationary measurements of CO improve monitoring of surface ozone air quality through a joint assimilation?

Data Assimilation “Truth” GEOS-Chem optimal estimate Create synthetic observations integrate to next time step assimilate

Simulation Models “Truth” and GEOS-Chem are completely different Meteorology, Chemistry, Emissions

Air Quality Information from GEO Need to combine observations in multiple spectral regions at high temporal resolution to constrain ozone air quality Error in Surface MDA8 Ozone averaged for July 2001 [Zoogman et al, 2011]

Comparison of Spectral Combinations Error in ozone surface air concentration over the US after assimilation of observations in different spectral combinations [Zoogman et al, 2011]

North American Background Ozone [Zhang et al. 2011] O 3 that would occur in the absence of anthropogenic emissions in the U.S., Canada, and Mexico. Sets limit on levels achievable through domestic controls Highest in the intermountain West

Surface Measurements from CASTNET CASTNet ozone monitoring sites in the continental United States Sites in the intermountain West in red. Surface measurements can provide information in their vicinity Horizontal = 510 km, Vertical = 1.7 km

Seeing a Stratospheric Intrusion [Lin et al. 2012]

Seeing a Stratospheric Intrusion [Lin et al. 2012]

Seeing a Stratospheric Intrusion

Usefulness of CO Observations O 3 :CO correlations are well known GCIRI boundary layer sensitivity may be greater for CO than TEMPO ozone [Hudman et al, 2009] CO sensitivity, MOPITT Theoretical Ozone sensitivities [Natraj et al 2011 and Worden et al 2010]

Model errors correlated => CO observations could add information for ozone air quality by constraining model transport error The Case for Error Correlations

Model errors correlated => CO observations could add information for ozone air quality by constraining model transport error The Case for Error Correlations But! model error correlations can differ greatly from concentration correlations!

Air Quality Information from Error Correlations Error Correlations provide additional information for surface ozone (spatial pattern consistent with regions of strong error correlation) Air Quality Error for August 2006

Conclusions OSSEs have been used to make the case for GEO UV+Vis design TEMPO will provide the capacity to monitor NAAQS exceedances High temporal and vertical resolution will allow viewing/attribution of exceptional events CO observations from GCIRI could improve on TEMPO near surface ozone

Multispectral Satellite Observations of Ozone [Zhang et al. 2010] Ozone sensitivity, future [Natraj et al, 2011] Current ozone sensitivity, OMI (UV) Averaging Kernel matrix A quantifies the vertical information provided by a satellite retrieval

Surface Ozone Sensitivity Adjoint model – receptor based rather than source based approach Sensitivity of surface ozone to ozone produced at each vertical layer Surface ozone primarily sensitive to production below 2 km [Zoogman et al, 2011]

Surface Measurements from CASTNET Distance/Magnitude of correction is quantified by the ozone error correlation R=0.50, D=340 km Find correlation of model error at each pair of CASTNet sites

Surface Measurements from CASTNET Distance/Magnitude of correction is quantified by the ozone error correlation R=0.50, D=340 km Find correlation of model error at each pair of CASTNet sites Plot R vs. distance to find error correlation length scale

Negative model error correlations reproduced when comparing to aircraft observations The Case for Error Correlations