Comparisons of TES v002 Nadir Ozone with GEOS-Chem by Ray Nassar & Jennifer Logan Thanks to: Lin Zhang, Inna Megretskaia, Bob Yantosca, Phillipe LeSager,

Slides:

Advertisements

Similar presentations

MOPITT CO Louisa Emmons, David Edwards Atmospheric Chemistry Division Earth & Sun Systems Laboratory National Center for Atmospheric Research.

Advertisements

A U R A Satellite Mission T E S

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.

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.

DC8 photo of Mexico City by Cameron McNaughton, University of Hawaii, Feb 2006 Characterizing Megacity Pollution and Its Regional Impact with TES Measurements.

GEOS-CHEM Near-Real Time Full-Chemistry Simulations S. Turquety, D. J. Jacob, R. M. Yantosca, R. C. Hudman, L. Jaeglé, S. Wu Objectives : 1.ICARTT campaign.

Interpreting MLS Observations of the Variabilities of Tropical Upper Tropospheric O 3 and CO Chenxia Cai, Qinbin Li, Nathaniel Livesey and Jonathan Jiang.

Assimilation of TES O 3 data in GEOS-Chem Mark Parrington, Dylan Jones, Dave MacKenzie University of Toronto Kevin Bowman Jet Propulsion Laboratory California.

Integrating satellite observations for assessing air quality over North America with GEOS-Chem Mark Parrington, Dylan Jones University of Toronto

DC8 photo of Mexico City by Cameron McNaughton, University of Hawaii, Feb 2006 Characterizing Megacity Pollution and Its Regional Impact with TES Measurements.

On average TES exhibits a small positive bias in the middle and lower troposphere of less than 15% and a larger negative bias of up to 30% in the upper.

Abstract Using OMI ozone profiles as the boundary conditions for CMAQ calculations significantly improves the agreement of the model with ozonesonde observations.

Effects of Siberian forest fires on regional air quality and meteorology in May 2003 Rokjin J. Park with Daeok Youn, Jaein Jeong, Byung-Kwon Moon Seoul.

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.

Influence of the Brewer-Dobson Circulation on the Middle/Upper Tropospheric O 3 Abstract Lower Stratosphere Observations Models

Is there a Summertime Middle East Ozone Maximum in the Upper Troposphere? Matthew Cooper, Randall Martin, Bastien Sauvage, OSIRIS Team, ACE Team GEOS-Chem.

Understanding the Influence of Biomass Burning on Tropospheric Ozone through Assimilation of TES data Jennifer Logan Harvard University Dylan Jones, Mark.

Assimilation of EOS-Aura Data in GEOS-5: Evaluation of ozone in the Upper Troposphere - Lower Stratosphere K. Wargan, S. Pawson, M. Olsen, J. Witte, A.

Ability of GEO-CAPE to Detect Lightning NOx and Resulting Upper Tropospheric Ozone Enhancement Conclusions When NO emissions from lightning were included.

Investigating Stratosphere-Troposphere-Intrusion by Ozonesonde and TES data Huixia He, D.W. Tarasick, W. Hocking Environment Canada University of Western.

Jae H. Kim 1, Sunmi Na 1, and Mike Newchurch 2 1; Department of Atmospheric Science, Pusan Nat’l University 2; Department of Atmospheric Science, University.

Assimilation of TES ozone into the GEOS-Chem and GFDL AM2 models: implications for chemistry-climate coupling Mark Parrington, Dylan Jones University of.

Assessing the Lightning NO x Parameterization in GEOS-Chem with HNO 3 Columns from IASI Matthew Cooper 1 Randall Martin 1,2, Catherine Wespes 3, Pierre-Francois.

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

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,

Assimilating tropospheric ozone data from TES Mark Parrington, Dylan Jones University of Toronto Kevin Bowman Jet Propulsion Laboratory California Institute.

Validation of TES Methane with HIPPO Observations For Use in Adjoint Inverse Modeling Kevin J. Wecht 17 June 2010TES Science Team Meeting Special thanks.

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

HIRDLS Ozone V003 (v ) Characteristics B. Nardi, C. Randall, V.L. Harvey & HIRDLS Team HIRDLS Science Meeting Boulder, Jan 30, 2008.

Developing Daily Biomass Burning Inventories from Satellite Observations and MOPITT Observations of CO during TRACE P Colette Heald Advisor: Daniel Jacob.

Retrieval of Methane Distributions from IASI

National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Tropospheric Emission Spectrometer TES Data.

National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Tropospheric Emission Spectrometer Studying.

Model evolution of a START08 observed tropospheric intrusion Dalon Stone, Kenneth Bowman, Cameron Homeyer - Texas A&M Laura Pan, Simone Tilmes, Doug Kinnison.

Improved understanding of global tropospheric ozone integrating recent model developments Lu Hu With Daniel Jacob, Xiong Liu, Patrick.

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

Ray Nassar, Jennifer Logan, Lee Murray, Lin Zhang, Inna Megretskaia Harvard University COSPAR, Montreal, 2008 July Investigating Tropical Tropospheric.

Critical Assessment of TOMS-derived Tropospheric Ozone: Comparisons with Other Measurements and Model Evaluation of Controlling Processes M. Newchurch.

H. Worden Jet Propulsion Laboratory, California Institute of Technology J. LoganHarvard University TES ozone profiles compared to ozonesondes ABSTRACT:

UTLS Workshop Boulder, Colorado October , 2009 UTLS Workshop Boulder, Colorado October , 2009 Characterizing the Seasonal Variation in Position.

Critical Assessment of TOMS-derived Tropospheric Ozone: Comparisons with Other Measurements and Model Evaluation of Controlling Processes M. Newchurch.

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.

This report presents analysis of CO measurements from satellites since 2000 until now. The main focus of the study is a comparison of different sensors.

Spatial patterns in the seasonal evolution of ozone and CO as seen by TES, and the effects of the geographically variable a-priori used in the TES retrieval.

TES and Surface Measurements for Air Quality Brad Pierce 1, Jay Al-Saadi 2, Jim Szykman 3, Todd Schaack 4, Kevin Bowman 5, P.K. Bhartia 6, Anne Thompson.

Convective Transport of Carbon Monoxide: An intercomparison of remote sensing observations and cloud-modeling simulations 1. Introduction The pollution.

Analysis of TES and MLS tropospheric data for ozone and CO in 2005 and 2006 using the GMI and GEOS-Chem global models. Jennifer A. Logan, Ray Nassar, Inna.

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,

A Study of Variability in Tropical Tropospheric Water Vapor Robert L. Herman 1, Robert F. Troy 2, Holger Voemel 3, Henry B. Selkirk 4, Susan S. Kulawik.

Application of OMI Ozone Profiles in CMAQ

CAST – sonde activities

SIMULATED OBSERVATION OF TROPOSPHERIC OZONE AND CO WITH TES

The impacts of dynamics and biomass burning on tropical tropospheric Ozone inferred from TES and GEOS-Chem model Junhua Liu

evaluation with MOPITT satellite observations for the summer 2004

R2971 Seq0100 Scn003 Hohenpeissenberg (48N, 11W)

Randall Martin, Daniel Jacob, Jennifer Logan, Paul Palmer

Aura Science Team meeting

Analysis of CO in the tropical troposphere using Aura satellite data and the GEOS-Chem model: insights into transport characteristics of the GEOS meteorological.

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 –

The effect of tropical convection on the carbon monoxide distribution in the upper troposphere inferred from Aura Satellite data and GEOS-Chem model Junhua.

Validation of TES version 2 ozone profiles

American Geophysical Union, Fall Meeting

INTEX-B flight tracks (April-May 2006)

Harvard University and NASA/GFSC

Lin Zhang, Daniel J. Jacob, Jennifer A

Daniel J. Jacob, Professor of Atmospheric Chemistry

Intercomparison of tropospheric ozone measurements from TES and OMI

Presentation transcript:

Comparisons of TES v002 Nadir Ozone with GEOS-Chem by Ray Nassar & Jennifer Logan Thanks to: Lin Zhang, Inna Megretskaia, Bob Yantosca, Phillipe LeSager, Helen Worden & the TES Team GEOS-Chem Meeting, Harvard University, 2007 April 11-13

Tropospheric Emission Spectrometer (TES) Ray Nassar GEOS-Chem Meeting, Harvard University, 2007 April High resolution Fourier transform spectrometer (FTS) on Aura satellite launched 2004 July 15, ~705 km sun-synch orbit, equator crossing ~13:45 Global Survey 16 orbits (~26 hrs) Nadir footprint: 5.3 km x 8.3 km Special observations: Step & stare, Transect, Stare, etc.

INTEX Ozonesonde Network Study (IONS), World Ozone and Ultraviolet Data Center (WOUDC) and Southern Hemisphere Additional Ozonesonde (SHADOZ) Archive ~1600 pairs with coincidence criteria of 300 km radius, ±9 hours October 2004 – October 2006

Applying the TES Averaging Kernel and Constraint Version 002 R2971_Seq0100_Scn003 Hohenpeissenberg (48N, 11W) ~4 Degrees of Freedom for Signal (DOFS) for O 3 when cloud free ~2 DOFS in troposphere Initial guess TES retrieval Sonde Sonde with TES op x sondeTESop = x prior + A TES [x sonde -x prior ]

TES - Sonde O 3 Differences in 6 Latitude Zones Ray Nassar GEOS-Chem Meeting, Harvard University, 2007 April Removed flagged and cloudy profiles (Effective OD > 2.0, cloud top height above 750 hPa)

TES vs. Sonde O 3 Upper Troposphere (UT) and Lower Troposphere (LT) Average Correlations Correlation coefficients:  Good linearity Positive bias of 3-10 ppbv. High variability related to atmospheric variability so an upper limit for  of 7-16 ppbv low sensitivity

GEOS-Chem Simulation Version , GEOS-4 12 month spin-up, 18 month run from to x 2.5º resolution Daily and 2-hourly output Lightning settings for update by Lee Murray and Rynda Hudman (scaling with OTD-LIS) Global Fire Emission Database 2 (GFED2) emissions for 2005 & 2006 GEOS-Chem and TES Comparison Find GEOS-Chem pixel for TES measurement position and time (  t <1 hr) Apply TES averaging kernel and constraint to GEOS-Chem Monthly average TES data in 2 x 2.5º bins to match model run

GEOS-Chem & TES at 2 x 2.5º: October 2005 a) b) c)d)

GEOS-Chem & TES at 2 x 2.5º: January 2006 a) b) c)d)

2006 – 2005 Difference Plots October November December

Conclusions TES V002 nadir ozone profiles typically have a high bias of 3-10 ppbv in all latitude zones relative to ozonesondes High variability related to atmospheric variability so an upper limit for  of 7-16 ppbv, relative variations in ozone measured by TES are meaningful GEOS-Chem underestimates tropical ozone relative to TES, especially in the southern tropical biomass burning season, but qualitatively good TES and GEOS-Chem show differences between 2006 and 2005 which likely relate to changes in biomass burning and/or lightning patterns due to the 2006 El Nino but requires further investigation

Future Work Screen TES ozone data using “emission layer” flag Apply vertical averaging over multiple layers to increase information content Re-run GEOS-Chem with different emissions, lightning parameters Determine if ozone is ‘conserved’ Investigate whether higher ozone correlates with CO or lightning

Extra slide: GEOS-Chem Run Settings