NO x Emission Inversion Using the Adjoint of CMAQ Farid Amid and Amir Hakami Carleton University.

Slides:

Advertisements

Similar presentations

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Inversion strategy 4D-var method adjoint model of TM3 CH4-only version has been.

Advertisements

OSE meeting GODAE, Toulouse 4-5 June 2009 Interest of assimilating future Sea Surface Salinity measurements.

G. Pirovano – CESIRICERCA, Italy Comparison and validation of long term simulation of PM10 over 7 European cities in the frame of Citydelta project Bedogni.

ECMWF CO 2 Data Assimilation at ECMWF Richard Engelen European Centre for Medium-Range Weather Forecasts Reading, United Kingdom Many thanks to Phil Watts,

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,

The AIRPACT-3 Photochemical Air Quality Forecast System: Evaluation and Enhancements Jack Chen, Farren Thorpe, Jeremy Avis, Matt Porter, Joseph Vaughan,

Methane inversion from satellite, TRANSCOM workshop, Jena, May 2003 Inverse modelling of methane sources and sinks using satellite observations Jan.

OMI NO 2 observations of boreal forest fires Nicolas Bousserez, Randall V. Martin, Lok Lamsal, and the ARCTAS team Dalhousie University Halifax, Nova Scotia.

Mercury Source Attribution at Global, Regional and Local Scales Christian Seigneur, Krish Vijayaraghavan, Kristen Lohman, and Prakash Karamchandani AER.

The AIRPACT-3 Photochemical Air Quality Forecast System: Evaluation and Enhancements Jack Chen, Farren Thorpe, Jeremy Avis, Matt Porter, Joseph Vaughan,

Adaptive air quality management through operational sensitivity forecasting Amir Hakami and Matthew Russell 3 rd IWAQFR Workshop December 1, 2011.

Template CAMx Ancillary Input Development Chris Emery ENVIRON International Corporation, Novato CA November 14, 2012.

Academic Developer’s Perspective Talât Odman Georgia Institute of Technology and Amir Hakami Carleton University, Canada 9 th Annual CMAS Conference October.

ICDC7, Boulder, September 2005 CH 4 TOTAL COLUMNS FROM SCIAMACHY – COMPARISON WITH ATMOSPHERIC MODELS P. Bergamaschi 1, C. Frankenberg 2, J.F. Meirink.

Intercomparison methods for satellite sensors: application to tropospheric ozone and CO measurements from Aura Daniel J. Jacob, Lin Zhang, Monika Kopacz.

Sensitivity of top-down correction of 2004 black carbon emissions inventory in the United States to rural-sites versus urban-sites observational networks.

GEO-CAPE Atmosphere SWG activities Daniel J. Jacob Co-Lead, GEO-CAPE Atmosphere Science Working Group.

J.-F. Müller and T. Stavrakou IASB-BIRA Avenue Circulaire 3, 1180 Brussels AGU Fall meeting, Dec Multi-year emission inversion for.

Lok Lamsal, Nickolay Krotkov, Randall Martin, Kenneth Pickering, Chris Loughner, James Crawford, Chris McLinden TEMPO Science Team Meeting Huntsville,

1 Using Hemispheric-CMAQ to Provide Initial and Boundary Conditions for Regional Modeling Joshua S. Fu 1, Xinyi Dong 1, Kan Huang 1, and Carey Jang 2 1.

Simulation Experiments for GEO-CAPE Regional Air Quality GEO-CAPE Workshop September 22, 2009 Peter Zoogman, Daniel J. Jacob, Kelly Chance, Lin Zhang,

Overview of Techniques for Deriving Emission Inventories from Satellite Observations Frascati, November 2009 Bas Mijling Ronald van der A.

Preliminary Study: Direct and Emission-Induced Effects of Global Climate Change on Regional Ozone and Fine Particulate Matter K. Manomaiphiboon 1 *, A.

S. Morteza Mesbah, Amir Hakami, Stephan Schott Carleton University, Ottawa, Canada Marginal Health Damages of NO x Emissions: An Application of the Adjoint.

NMVOC emissions NMVOC emissions estimated from HCHO GOME-2 satellite data J-F. Muller, J. Stavrakou I. De Smedt, M. Van Roozendael Belgian Institute for.

Nitrogen Oxide Emissions Constrained by Space-based Observations of NO 2 Columns University of Houston Amir Souri, Yunsoo Choi, Lijun Diao & Xiangshang.

Georgia Institute of Technology Initial Application of the Adaptive Grid Air Quality Model Dr. M. Talat Odman, Maudood N. Khan Georgia Institute of Technology.

Toward a mesoscale flux inversion in the 2005 CarboEurope Regional Experiment T.Lauvaux, C. Sarrat, F. Chevallier, P. Ciais, M. Uliasz, A. S. Denning,

INVERSE MODELING OF ATMOSPHERIC COMPOSITION DATA Daniel J. Jacob See my web site under “educational materials” for lectures on inverse modeling atmospheric.

Estimating anthropogenic NOx emissions over the US using OMI satellite observations and WRF-Chem Anne Boynard Gabriele Pfister David Edwards AQAST June.

Satellite-based inversion of NOx emissions using the adjoint of CMAQ Amir Hakami, John H. Seinfeld (Caltech) Qinbin Li (JPL) Daewon W. Byun, Violeta Coarfa,

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.

Temporal Source Apportionment of Policy-Relevant Air Quality Metrics Nicole MacDonald Amir Hakami CMAS Conference October 11, 2010.

Deguillaume L., Beekmann M., Menut L., Derognat C.

INVERSE MODELING TECHNIQUES Daniel J. Jacob. GENERAL APPROACH FOR COMPLEX SYSTEM ANALYSIS Construct mathematical “forward” model describing system As.

Evaluation of OMI total column ozone with four different algorithms SAO OE, NASA TOMS, KNMI OE/DOAS Juseon Bak 1, Jae H. Kim 1, Xiong Liu 2 1 Pusan National.

Methane and carbon dioxide total columns over cloudy oceans measured by shortwave infrared satellite sounders D. Schepers, I. Aben, A. Butz, O.P. Hasekamp,

Chemical Condition and Surface Ozone in Urban Cities of Texas During the Last Decade: Observational Evidence from OMI, CAMS, and Model Analysis Yunsoo.

10-11 October 2006HYMN kick-off TM3/4/5 Modeling at KNMI HYMN Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the.

Diagnostic Study on Fine Particulate Matter Predictions of CMAQ in the Southeastern U.S. Ping Liu and Yang Zhang North Carolina State University, Raleigh,

J. Ding 1,2, R. J. van der A 1, B. Mijling 1, P. F. Levelt 1,2, and N. Hao 3 [1] Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands.

1 Examining Seasonal Variation of Space-based Tropospheric NO 2 Columns Lok Lamsal.

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

Air Resources Laboratory 1 Comprehensive comparisons of NAQFC surface and column NO 2 with satellites, surface, and field campaign measurements during.

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.

Georgia Institute of Technology SUPPORTING INTEX THROUGH INTEGRATED ANALYSIS OF SATELLITE AND SUB-ORBITAL MEASUREMENTS WITH GLOBAL AND REGIONAL 3-D MODELS:

Further Developments and Applications for the Adjoint of CMAQ

MAPPING ISOPRENE EMISSIONS FROM SPACE USING OMI FORMALDEHYDE MEASUREMENTS Dylan B. Millet, Daniel J. Jacob, K. Folkert Boersma, Justin P. Parrella Atmospheric.

AGU Highlights Vijay Natraj. CO 2 Retrieval Simulation from GOSAT Thermal IR Spectra 15 um CO 2 band; 0.2 cm -1 res, ~ 300 S/N 110 layers for forward.

Regional Chemical Modeling in Support of ICARTT Topics:  How good were the regional forecasts?  What are we learning about the emissions?  What are.

Error correlation between CO 2 and CO as a constraint for CO 2 flux inversion using satellite data from different instrument configurations Helen Wang.

Validation of OMI and SCIAMACHY tropospheric NO 2 columns using DANDELIONS ground-based data J. Hains 1, H. Volten 2, F. Boersma 1, F. Wittrock 3, A. Richter.

Willem W. Verstraeten 1, Jessica L. Neu 2, Jason E. Williams 1, Kevin W. Bowman 2, John R. Worden 2, K. Folkert Boersma 1,3 Rapid increases in tropospheric.

OMI Satellite Data Analysis Weekly, Seasonal, Elevation Pattern of NO2 M. Kieffer, S. Kovacs, E. Robinson Advisor: R. B. Husar Washington University, St.

Georgia Institute of Technology Evaluation of the 2006 Air Quality Forecasting Operation in Georgia Talat Odman, Yongtao Hu, Ted Russell School of Civil.

Implementation of a direct sensitivity method into CMAQ Daniel S. Cohan, Yongtao Hu, Amir Hakami, M. Talat Odman, Armistead G. Russell Georgia Institute.

February 11, 2016 Nitrogen Oxides (NO x ) Emissions from U.S. Shale Plays using an Integrated Top-down and Bottom-up Approach Speaker: Andy Chang, PhD.

M. Newchurch 1, A. Biazar 1, M. Khan 2, B. Koshak 3, U. Nair 1, K. Fuller 1, L. Wang 1, Y. Park 1, R. Williams 1, S. Christopher 1, J. Kim 4, X. Liu 5,6,

Estimating emissions from observed atmospheric concentrations: A primer on top-down inverse methods Daniel J. Jacob.

Distribution of formaldehyde over North America:

FUTURE PREDICTION OF SURFACE OZONE OVER EAST ASIA UP TO 2020

SIMULATED OBSERVATION OF TROPOSPHERIC OZONE AND CO WITH TES

Mapping surface air concentrations from OMI and inferring cancer risks: implications for TEMPO Lei Zhu TEMPO STM 06/01/2017 Lei Zhu, Daniel J. Jacob, Frank.

Sensitivity Analysis of Ozone in the Southeast

What determines column CO2?

Estimation of Emission Sources Using Satellite Data

Science Update Ross Bannister, DARC PI Meeting, Oct. 17th 2005

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:

NO x Emission Inversion Using the Adjoint of CMAQ Farid Amid and Amir Hakami Carleton University

Oct 20, 2009 Overview - Inversion Methodology -OMI retrievals -Observational operators -Adjoint inversion - Category-specific emission inversion - Results

Oct 20, 2009 Adjoint-based inversion -Grid-based emission inference Forward Model OptimizationAdjoint Model Observations Cost/Forcing Gradients Adjustments (Final)

Oct 20, 2009 Model application -North America -36 km -13 layers -Summer of OMI NO 2 column and surface ozone -For now won’t use surface NO 2 -Category-specific as much as possible -SAPRC-99 -Parallel (?) -Bott scheme (?)

Oct 20, 2009 OMI retrievals -KNMI product -Filtered to remove -Large pixels (> 36 km) -High errors (> 70%) -Domain edge (?) -Horizontal and vertical regridding (mapping) -Observational operators

Oct 20, 2009 Domain regridding (forward and backward) Averaging Kernel -- A VCD CMAQ VCD CMAQ - VCD OMI ATAT CMAQ forcing

Oct 20, 2009 Category-specific inversion -Grid-based inversion does not distinguish between source categories when sources are collocated in one grid. -Emission adjustments are only applied to the total emissions, i.e. adjoint gradients are scaled by emission shares. -Not necessarily a problem -It would be useful to track areas where specific sources dominate.

Oct 20, 2009 Source contributions to the gradients B A B C

Oct 20, 2009 Forward sensitivity analysis -Using DDM for screening receptor sites where a single source category dominates (NO 2 sensitivity wrt to anthropogenic NO x emissions)

Oct 20, 2009 Steps -Identify sources with potentially high spatial correlation in emission bias. -Natural sources, mobile (?) -Screen for receptors where these sources dominate. -Invert for those emissions. -Extend the adjustments to other locations. -Invert for other sources.

Oct 20, 2009 Conclusions - Spatial correlations that are intuitive are a potential source of information which should not be neglected, particularly in absence of good understanding of the true covariance matrices. - Such information can be applied to distinguish between sources using forward sensitivities. -Major sources are typically collocated. - NO 2 may not be the best candidate for this type of analysis (biogenics?)