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Seasonal & Interannual Variability in Tropospheric CO:

Global-Scale Analysis of GEOS-CHEM

using MOPITT CO Measurements

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Prasad Kasibhatla & Quanlin Li

Duke University

Louis Giglio

Science Systems & Applications, Inc.

Jim Collatz

NASA Goddard Space Flight Center

Jim Randerson

University of California Irvine,

Guido van der Werf

University of Amsterdam

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GEOS-CHEM Users Meeting

April 12, 2007

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Questions

  • Can seasonal and interannual variations in MOPITT CO provide

constraints on biomass-burning emissions?

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  • Are there persistent biases in GEOS-CHEM simulations of CO

relative to MOPITT measurements?

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Simulation Set-up

  • 1996-2006 with GEOS-CHEM v7-04-06 driven by GEOS-4 4x5 met fields

(sensitivity runs at 2x2.5 resolution)

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  • Tagged CO with prescribed monthly-mean OH from v5-07-08

(sensitivity runs with OH from GMI-Combo and Isabelle Bey’s simulation)

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  • Sources
    • Fossil-fuel: GEIA 1985 CO emissions scaled to 1998 (Logan) and scaled by 18.5% to account for VOC oxidation (Duncan)

(sensitivity runs with EGDAR/Streets/EMEP/NEI/BRAVO inventory)

    • Biofuel: Yevich and Logan
    • Biogenic VOC oxidation: GEIA isoprene & monoterpene emissions with CO yields of 0.3 and 0.2; CO from methanol = 0.36 CO from isoprene; acetone emissions with CO yield of 0.67 (Duncan)

(sensitivity runs with MEGAN isoprene and monoterpene emissions)

    • Methane oxidation: Calculated on-line using prescribed OH
    • Biomass burning: GFED2 (with preliminary 2006 product)

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  • Focus here on 2002-2006 – Phase-2 MOPITT & MODIS fire counts

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MOPITT-equivalent Model Column CO

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MOPITT-equivalent Model De-seasonalized Column CO

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MOPITT

MODEL

Model underestimates

tropospheric column CO

in both hemispheres

Model vs MOPITT Column CO

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MOPITT

MODEL

Model is relatively successful

in reproducing observed

anomaly patterns, with

some notable exceptions

  • we are currently using

anomaly contributions from

basis regions to derive

scaling factors for GFED2

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Model vs MOPITT De-seasonalized Column CO

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Obs

Model

Model FFBF

Model BB

Model BG

Model METH

NH Model vs MOPITT Column CO

Model vs GMD Surface CO

GMD data from Paul Novelli

30N-50N

10N-30N

MID

MLO

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Difference Between MOPITT and Model Column CO in April

MOPITT-Model Column CO (1018 molecules cm-2)

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MOPITT vs Column CO for Different Model Configurations

in April 2004

Column CO (1018 molecules cm-2)

Model results from Susan Strahan

Model results from Isabelle Bey

What is going on?????

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Obs

Model

Model FFBF

Model BB

Model BG

Model METH

SH Model vs MOPITT Column CO

30S-50S

10S-30S

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Difference Between MOPITT and Model Column CO in October

MOPITT-Model Column CO (1018 molecules cm-2)

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MOPITT vs Column October-April CO for

Different Model Configurations in 2004

Oct-Apr Column CO (1018 molecules cm-2)

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SH Model vs MOPITT Column CO

30S-50S

10S-30S

Obs

Model

Model FFBF

Model BB

Model BG

Model METH

Model with 2xBB

Model with 2xBB captures

seasonal amplitude of tropospheric

column CO in SH,

but …

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Obs

Model

Model with BB

750-470 mb

Model with BB

550-290 mb

Model with

2xBB

Model vs GMD Surface CO

CRZ

POCS30

SYO

SPO

  • Model with 2xBB overestimates seasonal amplitude at surface in SH
  • Injection of BB emissions into upper free trop appears to improve model

agreement with MOPITT and surface sites in SH

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Summary

  • Patterns of interannual variability in tropospheric column CO relatively

well simulated

  • There are significant biases in modeled CO relative to MOPITT in both

hemispheres (conclusion partly different from Shindell et al., 2006)

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  • NH bias
    • Likely not significantly tied to biomass burning emissions
    • Difficult to reconcile 🡪 can analysis of aircraft+TES+MOPITT+GMD CO

measurements provide insights?

    • Other potential factors to consider 🡪 seasonality and trends of NH anthropogenic emissions, state-dependent MOPITT biases?
    • Transport biases???

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  • SH bias
    • Also seen with respect to TES (Logan)
    • Likely tied to biomass burning emissions
    • Difficult to reconcile MOPITT measurements relative to surface

measurements 🡪 can limited aircraft measurements provide a clue?

    • Transport biases?

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Acknowledgements

  • NASA (funding)

  • Daniel Jacob, Bob Yantosca, and GEOS-CHEM core team (model)

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  • Jennifer Logan (stimulating discussions)

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  • Susan Strahan and GMI team (GMI results)

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  • Isabelle Bey (model results)

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  • Paul Novelli (GMD data)

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  • Louisa Emmons, Merritt Deeter, and MOPITT team (MOPITT data)

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  • Louis Giglio, Guido van der Werf, Jim Randerson, and Jim Collatz (GFED)