Using beryllium-7 to assess stratosphere-to- troposphere transport in global models 4 th GEOS-Chem Users’ Meeting Harvard University, April 7-10, 2009.

Slides:

Advertisements

Similar presentations

Findings since the 2006 Assessment SAP co-chairs 7th Meeting of the Ozone Research Managers Geneva, Switzerland May 19, 2008.

Advertisements

Aircraft GC 2006 ems GC Streets ems East Asian contrib Lightning contrib Aircraft GC 2006 ems GC Streets ems No Asian No Lightning Long-range transport.

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

The other Harvard 3-D model: CACTUS Chemistry, Aerosols, Climate: Tropospheric Unified Simulation Objective: to improve understanding of the interaction.

Overview of GCAP Project October 12, 2007 Harvard University PI: Jacob Co-Is: Byun, Fu, Mickley, Seinfeld, Streets, Rind Also: Wu, Liao, Lam, Li, Yoshitomi,

GEOS-Chem Simulations for CMAQ Initial and Boundary Conditions 1 Yun-Fat Lam, 1 Joshua S. Fu, 2 Daniel J. Jacob, 3 Carey Jang and 3 Pat Dolwick.

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

Seasonal Variations in the Mixing Layer in the UTLS Dave MacKenzie University of Toronto GEOS-Chem Meeting April 2009.

Impact of Seasonal Variation of Long-Range Transport on the Middle Eastern O 3 Maximum Jane Liu, Dylan B. Jones, Mark Parrington, Jay Kar University of.

Chemistry-climate interactions: a new direction for GEOS-CHEM GEOS-CHEM research to date GCAP project Current project: drive GEOS-CHEM into.

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

Interannual variations in global OH radicals over the period in GEOS-Chem, and preliminary comparisons to other models I. Bey 1, S. Koumoutsaris.

Eric M. Leibensperger, Loretta J. Mickley, Daniel J. Jacob School of Engineering and Applied Sciences, Harvard University Climate response to changing.

SECOND GEOS-CHEM USERS’ MEETING April 4-6, 2005 Thanks to NASA/ACMAP and HUCE for providing travel support! Meeting objectives: To share model experiences.

Wuhu Feng and Martyn Chipperfield

1 Radiative Effect of Clouds on Tropospheric Chemistry in a Global 3-D Chemical Transport Model Hongyu Liu ( National Institute.

Trans-Pacific transport of Asian dust and pollution: Accumulation of biomass burning CO in subtropics and dipole structure of transport Junsang Nam 1,

Transport of CO and O 3 into the UTLS Region Dave MacKenzie University of Toronto.

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

(a)(b)(c) Simulation of upper troposphere CO 2 from two-dimensional and three-dimensional models Xun Jiang 1, Runlie Shia 2, Qinbin Li 1, Moustafa T Chahine.

Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling.

INTERCONTINENTAL TRANSPORT OF AIR POLLUTION WITH GMI AND PLANS FOR THE NEW HEMISPHERIC TRANSPORT OF AIR POLLUTANTS (HTAP) MODEL INTERCOMPARISON STUDY ROKJIN.

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

Sensitivity of Methane Lifetime to Sulfate Geoengineering: Results from the Geoengineering Model Intercomparison Project (GeoMIP) Giovanni Pitari V. Aquila,

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,

Template Improving Sources of Stratospheric Ozone and NOy and Evaluating Upper Level Transport in CAMx Chris Emery, Sue Kemball-Cook, Jaegun Jung, Jeremiah.

Satellite Observations and Simulations of Subvortex Processing and Related Upper Troposphere / Lower Stratosphere Transport M.L. Santee, G.L. Manney, W.G.

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

Anthropogenic influence on stratospheric aerosol changes through the Asian monsoon: observations, modeling and impact Lamarque, Solomon, Portmann, Deshler,

Transport analysis and source attribution of the tropical CO seasonal and interannual variability in the UT/LS Junhua Liu and Jennifer Logan School of.

Investigation of the U.S. warming hole and other adventures in chemistry-climate interactions Loretta J. Mickley Pattanun Achakulwisut, Becky Alexander,

Chemistry Climate Modeling of the UTLS An update on model inter-comparison and evaluation with observations Andrew Gettelman, NCAR & CCMVal Collaborators.

Seasonal variability of UTLS hydrocarbons observed from ACE and comparisons with WACCM Mijeong Park, William J. Randel, Louisa K. Emmons, and Douglas E.

Figure (a-c). Latitude-height distribution of monthly mean ozone flux for the months of (a) January, (b) April and (c) July averaged over years 2000 to.

The Extratropical UTLS: Observations, Concepts and Future Directions.

GEOS-CHEM users’ meeting Harvard University Gabriele Curci6/2/2003 Stratospheric chemistry and SMVGEAR II in GEOS-CHEM model Gabriele Curci University.

Variability in surface ozone background over the United States: Implications for air quality policy Arlene Fiore 1, Daniel J. Jacob, Hongyu Liu 2, Robert.

Stratosphere-Troposphere Analyses of Regional Transport (START) Experiment Investigators: Laura Pan (PI) Andy Weinheimer (Integration and Payload) Rushan.

THE GLOBAL MODELING INITIATIVE (GMI): PAST CURRENT AND FUTURE ACTIVITIES Jose M. Rodriguez RSMAS/MAC University of Miami

Diagnosing the sensitivity of O 3 air quality to climate change over the United States Moeko Yoshitomi Daniel J. Jacob, Loretta.

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.

UTLS Chemical Structure, ExTL Summary of the talks –Data sets –Coordinates –Thickness of the ExTL (tracers based) Outstanding questions Discussion.

Climatic implications of changes in O 3 Loretta J. Mickley, Daniel J. Jacob Harvard University David Rind Goddard Institute for Space Studies How well.

Mesoscale processes in the polar atmosphere – the context Suzanne Gray University of Reading February 2013.

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

GEOS-CHEM Activities at NIA Hongyu Liu National Institute of Aerospace (NIA) at NASA LaRC June 2, 2003.

March 31, 2004BGC Working Group Interactive chemistry in CAM Jean-François Lamarque, D. Kinnison and S. Walters Atmospheric Chemistry Division NCAR.

(a)(b)(c) Simulation of upper troposphere CO 2 from two-dimensional and three-dimensional models Xun Jiang 1, Runlie Shia 2, Qinbin Li 1, Moustafa T Chahine.

March 9, 2004CCSM AMWG Interactive chemistry in CAM Jean-François Lamarque, D. Kinnison S. Walters and the WACCM group Atmospheric Chemistry Division NCAR.

GOALS FOR THIS MEETING Assess transition, report on working groups Specific, “nuts and bolts” definition of ongoing and future problems to be carried out.

Yuqiang Zhang1, Owen R, Cooper2,3, J. Jason West1

GMI Capabilities Sarah Strode, Jose Rodriguez, Steve Steenrod, Junhua Liu, Susan Strahan, Eric Nielsen.

Transport Working Group

METO 637 Lesson 12.

A New Tropopause Definition for Use in Chemistry-Transport Models

Atmospheric modelling of the Laki eruption

Seasonal Differences of UTLS Exchange Processes between Spring and Summer in the Subtropics and Polar Region Simone Tilmes, Laura Pan, Louisa Emmons, Hans.

Methane Global Warming Potential (GWP)

Lu Hu Global budget of tropospheric ozone: long-term trend and recent model advances Lu Hu With Loretta Mickley,

Investigation of Tracer Species in HIPPO I

FIRST GEOS-CHEM USERS’ MEETING June

Shiliang Wu1 Loretta J. Mickley1, Daniel J

Global atmospheric changes and future impacts on regional air quality

NRT Tropospheric and UTLS Ozone From OMI/MLS

Harvard University and NASA/GFSC

Questions for consideration

Simulations of the transport of idealized short-lived tracers

Climatic implications of changes in O3

Presentation transcript:

Using beryllium-7 to assess stratosphere-to- troposphere transport in global models 4 th GEOS-Chem Users’ Meeting Harvard University, April 7-10, 2009 Acknowledgement: David Considine (NASA LaRC), GMI core team (NASA GSFC), Harvard Atmos. Chem. Modeling Group Hongyu Liu National Institute of NASA Langley Research Center

Background  Reasonably representing the stratosphere-troposphere exchange (STE) flux of ozone is important for global models of tropospheric chemistry. However, this flux usually varies from model to model.  Two simple models for simulating stratospheric ozone in 3-D CTM [McLinden et al., JGR 2000]: Synthetic ozone (Synoz) and linearized ozone (Linoz). Linoz requires the meteorological fields/model have a reasonable representation of STE.  GMI CTM: driven by four different set of input meteorological data: DAO (GEOS-STRAT), GISS II’ GCM, fvGCM, and GEOS-4 (  GEOS-Chem: driven by GEOS-3, GEOS-4, and GEOS-5.  Research questions:  Can cosmogenic 7 Be, a radionuclide aerosol tracer, be used routinely to assess cross-tropopause transport in global models?  Is cross-tropopause transport in GEOS-5 DAS reasonable?

Evaluation of 7 Be simulation results with UT/LS and surface data  Latitudinal trends are well simulated at the surface and in the UT/LS.  DAO overestimates 7 Be deposition fluxes at mid-latitudes and subtropics; GISS II’ overestimates at high latitudes. fvGCM, GEOS-4 and GEOS-5 compare better to the observed 7 Be deposition fluxes.  7 Be observations were corrected to the 1958 solar maximum source [Koch et al., 1996].

 The scaling factor A is determined by: A= (1-0.25)/0.25 * F / (1-F) where F is the model calculated fraction of surface air of strat. origin at NH mid latitude (see Fig. above).  F = 0.39 (DAO), 0.31 (GISS), 0.23 (fvGCM), 0.25 (GEOS-4); A = 1.92 (DAO), 1.35 (GISS), ~1.00 (fvGCM), 1.00 (GEOS-4); F and A are sensitive to the location of tropopause; WMO thermal tropopause is used.  Observed 7 Be / 90 Sr ratio  23-27% of 7 Be in surface air at NH mid lat is of strat. origin [Dutkiewicz and Husain, 1985].  To correct excessive STE in the simulations, we reduce cross-tropopause transport flux by artificially scaling down the strat. 7 Be source in the simulation of tropospheric 7 Be (not strat. 7 Be) [Liu et al., 2001]. Assess and adjust 7 Be cross-tropopause flux (GMI CTM)

Adjustment of 7 Be cross-tropopause flux (GMI CTM) Before adjustment After adjustment  Indeed, after adjustment of 7 Be x-tropopause flux, ~25% of 7 Be in surface air at NH mid lat is of strat. origin.

Concen.  Model (DAO and GISS II’) 7 Be deposition fluxes are improved after adjustment but DAO is still too large in the subtropics. Contributing factors: uncertainties in the diagnosed location of tropopause and the interannual variability in the 7 Be source, etc. Obs. Effect of adjustment of 7 Be cross-tropopause flux (GMI CTM) Before adjustmentAfter adjustment Dep.

Stratospheric fraction (%) of 7 Be (GEOS-Chem) 10-20%  Slower x-tropopause transport in GEOS-3 than in GEOS-4 and GEOS-5.  Overall GEOS-5 and GEOS-4 represent STE reasonably well - it is appropriate to implement “Linoz” ozone in both models.  GEOS-5 shows smaller STE influence in the mid-troposphere than GEOS-4.

Impact of the “old” TPCORE  The “old” TPCORE leads to excessive mixing near tropopause in polar regions. Stratospheric influence on tropospheric ozone at high latitudes (e.g., Arctic) is thus overestimated.  Using the “new” TPCORE fixes this problem. “old” TPCORE (v & some earlier versions) incorrect “new” TPCORE (v & later) correct 222 Rn (mBq/SCM)Strat. Fraction of 7 Be (%)

Summary  The atmospheric distributions of 7 Be are simulated with GMI CTM (GEOS-Chem) driven by GEOS-STRAT, GISS-II’, fvGCM, and GEOS-4 DAS (GEOS-3 DAS, GEOS-4 DAS, and GEOS-5 DAS) meteorological fields. Results are evaluated with UT/LS and surface data.  The 7 Be simulation, which is computationally cheap and technically simple, in conjunction with the Dutkiewicz and Husain [1985] constraint and observed 7 Be deposition fluxes may be used routinely to assess stratosphere-to-troposphere transport in global models.  GEOS-5 DAS represents STE reasonably well and it is appropriate to implement “Linoz” ozone in GEOS-Chem driven by GEOS-5 DAS.

EXTRA SLIDE

Sensitivity to the location of tropopause L tropopause L tropopause - 1