Difference between revisions of "CO2 simulation"
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== Validation ==
== Validation ==
In Nassar et al. (2010) model comparisons are made with GLOBALVEIW-CO2 (http://www.esrl.noaa.gov/gmd/ccgg/globalview/co2/co2_intro.html) and CONTRAIL (Comprehensive Observation Network for TRace gases by AIrLiner) measurements. In other work, the CO<span><sub>2</sub> simulation has also been compared with aircraft observations from the HIAPER Pole-to-Pole Observations (HIPPO) campaigns of 2009 (Wofsy et al., 2010).
== Restart Files ==
== Restart Files ==
Revision as of 15:51, 12 May 2015
This page contains information about the carbon dioxide (CO2) simulation in GEOS-Chem.
- 1 Overview
- 2 Update in v8-03-02 (April 2010)
- 3 Update in v10-01 (May 2015)
- 4 CO2 simulation user groups
- 5 Validation
- 6 Restart Files
- 7 Nested-grid CO2 simulation
- 8 References
- 9 Previous issues that are now resolved
The original GEOS-Chem CO2 simulation was developed by Parv Suntharalingam (Suntharalingam et al., 2003; 2004), now at the University of East Anglia. A major update to the CO2 simulation was completed in 2010 by Ray Nassar and Dylan B.A. Jones of the University of Toronto (Nassar et al., 2010). The latest update to the CO2 simulation was developed by Ray Nassar (now at Environment Canada) and appears in GEOS-Chem v10-01, which was released on 2015 May 1.
Update in v8-03-02 (April 2010)
The 2010 update retained the original six CO2 fluxes: fossil fuel, ocean exchange, biomass burning, biofuel burning, balanced terrestrial exchange (CASA) and net annual terrestrial exchange. Other inventories are available as options for some of these fluxes and other new fluxes were added such as CO2 emissions from international shipping and aviation. There is also an optional feature to include CO2 production from the oxidation of CO, CH4 and NMVOCs. This chemical source concept was first highlighted by Enting and Mansbridge (1991). Although a few attempts have been made by other groups in the past, this implementation made GEOS-Chem the only 3-D global model to account for the chemical production of CO2. The GEOS-Chem implementation uses an approach similar to that described in Suntharalingam et al. (2005), with some updated year-specific numbers and some other modifications described in Nassar et al. (2010). The full GEOS-Chem CO2 update was applied to and tested with v8-02-01 (along with some patches). It has been publicly available in GEOS-Chem release v8-03-02 and later versions, along with an update to the GEOS-Chem online manual. The references below are cited in the updated code's comments and online manual, and include the new CO2 simulation description paper Nassar et al. (2010).
Update in v10-01 (May 2015)
GEOS-Chem v10-01 includes a substantial update to the CO2 simulation. A number of new or updated inventories have now been added at the same time as emissions are now handled by HEMCO. HEMCO reads emissions from netCDF files at any specified resolution and regrids the data, along with applying scaling factors where applicable. Major changes in this update include new options for fossil fuel emissions, biospheric fluxes and ocean fluxes and a modified treatment of the chemical source surface correction.
The CO2 emission updates are the following:
1) Carbon Dioxide Information Analysis Center (CDIAC) gridded data has been updated to include additional years [Andres et al. 2011] – CDIAC v2014 now extends to 2011 and RN has applied BP scaling for 2012 and 2013 with a projection for 2014 based on the Global Carbon Project values.
2) Open-source Data Inventory for Atmospheric CO2 emissions (ODIAC version 2013) fossil fuel option is now added [Oda and Maksyutov, 2011], which is known to have a more reliable spatial distribution for large countries but is consistent with an earlier version of CDIAC version for national emission totals.
3) Temporal Improvements for Monitoring Emissions by Scaling (TIMES) is now added [Nassar et al., 2013], which introduces weekly and diurnal variations to national fossil fuel emissions
4) The Takahashi et al. (2009) ocean fluxes in the model were included as a 1-year climatology corresponding to the year 2000 with a sink of 1.4 PgC. The same paper also describes a method for scaling the Takahashi et al. (2009) fluxes with year-specific atmospheric CO2 to yield year specific fluxes with an increasing global sink. This approach has been applied to scale the fluxes for 2000-2013 inclusive with an ocean sink ranging from (1.4 to 2.6 PgC/yr).
5) Balanced biospheric CO2 uptake and emission from the Simple Biospheric Model version 3 (SiB3) for the years 2006-2010 from Nick Parazoo [Messerschmidt et al. 2012]
6) Aviation emissions spatial and temporal distributions now come from AEIC. Updates to the scaling factors for the global annual emission amount from the International Energy Agency [Olsen et al., 2013] are now used for 1990-2008. A new system for aviation surface correction factors is now implemented which scales national fossil fuel emissions by a factor slightly less than 1 in order to remove the estimated contribution from domestic aviation emission, which is counted in the air instead of at the surface.
7) The chemical source of CO2 now spans a larger time period 2000-2009. The 2008 chemical source was recalculated with GFED for 2008, which was unavailable at the time of the previous update. A 2009 chemical source is now added. The surface correction approach has been revised such that the magnitude of the fossil fuel surface correction is now year specific for 1980-2014. In v8-03-02, the percentage of fossil fuel carbon emissions released as CO (and other carbon species like CH4 and non-methane hydrocarbons) was assumed to be 4.89% based on the work of Suntharalingam et al. , with no temporal dependence. However, studies have demonstrated that even as fossil fuel CO2 emissions have continually risen for decades, fossil fuel CO emissions have held essentially constant since about 1980 at 500-600 Tg CO/year [Granier et al., 2011]. Fossil fuel CH4 is also found to be roughly constant at 80 TgCH4/yr in CarbonTracker-CH4. In GEOS-Chem v10-01, the fossil fuel emission surface correction for the chemical source from Nassar et al.  has been modified based on the decreasing CO/CO2 and CH4/CO2 emission ratios, attributed to improved technology in both developed and developing countries, demonstrated by roughly constant CO and CH4 emissions despite increasing CO2 emissions. The surface correction goes from 5.28% in 1980 and decreases to 2.84% in 2013, replacing the constant value of 4.89% prior to v10-01. This new approach assumes a negligible percentage of fossil fuel carbon from sources other than CO2, CO, and CH4 (such as non-methane hydrocarbons) and assumes that the combustion completeness is globally-uniform. The assumption of global uniformity, though not a good assumption for the past, is becoming more reasonable as the developed countries adopt cleaner combustion technology releasing less non-CO2 carbon species. Note that for the 3D emission sources, both aviation CO2 emissions and CO2 chemical production, there has been a change in emission units to molecules/cm2/s instead of molecules/cm3/s, for consistency with HEMCO implementation in other parts of GEOS-Chem.
Note: The new HEMCO netCDF file for CDIAC national fossil fuel CO2 emissions is not ready due to a delay from CDIAC, but is expected to be available by mid-May.
Note: Nassar et al. (2010) remains the recommended reference for the GEOS-Chem CO2 simulation from v8-03-02 and the present version.
Andres. R.J., J.S Gregg, L. Losey, G. Marland, T.A. Boden (2011), Montly, global emissions of carbon dioxide from fossil fuel consumption, Tellus 63B, 309-327.
Granier, C., et al. (2011), Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980-2010 period, Climatic Change, 109:163-190, doi:10.1007/s10584-011-0154-1.
Keller, C.A., M.S. Long, R.M. Yantosca, A.M. DaSilva, S. Pawson, D.J. Jacob (2014), HEMCO v1.0: a versatile, ESMF-compliant component for calculating emissions in atmospheric models, Geosci., Model Dev., 7, 1409–1417, doi:10.5194/gmd-7-1409-2014.
Messerschmidt, J., N. Parazoo, N.M. Deutscher, C. Roehl, T. Warneke, P.O. Wennberg, and D. Wunch (2012) Evaluation of atmosphere-biosphere exchange estimations with TCCON measurements, Atmos. Chem. Phys. Discussions, 12, 12759-12800, doi:10.5194/acpd-12-12759-2012.
Nassar, R., D.B.A. Jones, P. Suntharalingam, J.M. Chen, R.J. Andres, K.J. Wecht, R.M. Yantosca, S.S. Kulawik, K.W. Bowman, J.R. Worden, T. Machida and H. Matsueda (2010), Modeling global atmospheric CO2 with improved emission inventories and CO2 production from the oxidation of other carbon species, Geoscientific Model Development, 3, 689-716.
Nassar, R., L. Napier-Linton, K.R. Gurney, R.J. Andres, T. Oda, F.R. Vogel, F. Deng (2013), Improving the temporal and spatial distribution of CO2 emissions from global fossil fuel emission datasets, Journal of Geophysical Research: Atmospheres, 118, 917-933, doi:10.1029/2012JD018196.
Oda, T. and S. Maksyutov (2011), A very high-resolution (1 km x 1 km) global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights, Atmos. Chem. Phys., 11, 543–556, doi:10.5194/acp-11-543-2011.
Olsen, S.C., D.J. Weubbles, B. Owen (2013) Comparison of global 3-D aviation datasets, Atmos. Chem. Phys., 13, 429–441, doi:10.5194/acp-13-429-2013.
Simone, N., M. Stettler, S. Eastham, S. Barrett, Aviation Emissions Inventory Code (AEIC) User Manual (R1), Laboratory for Aviation and the Environment, Massachusetts Institute of Technology, January 2013, Report No: LAE-2013-001-N, www.LAE.MIT.edu.
Takahashi, T., Sutherland, S. C., Wanninkhof, R., Sweeney, C., Feely, R. A., Chipman, D. W., Hales, B., Friederich, G., Chavez, F., Sabine, C., Watson, A., Bakker, D. C. E., Schuster, U., Metzl, N., Yoshikawa-Inoue, H., Ishii, M., Midorikawa, T., Nojiri, Y., K¨ortzinger, A., Steinhoff, T., Hoppema, M., Olafsson, J., Arnarson, T. S., Tilbrook, B., Johannessen, T., Olsen, A., Bellerby, R., Wong, C. S., Delille, B., Bates, N. R., and de Baar, H. J. W (2009), Climatological mean and decadal change in surface ocean pCO2, and net sea-air CO2 flux over the global oceans, Deep-Sea Res. II, 56(8–10), 554–577, doi:10.1016/j.dsr2.2008.12.009.
Authors and collaborators
- Ray Nassar (Environment Canada)
CO2 simulation user groups
|University of Toronto||Dylan Jones||Model updates and application to inverse modeling|
|Korea Environment Institute (KEI)||Changsub Shim|
|University of Colorado Boulder||Daven Henze||CO2 adjoint|
|UEA||Chen||Inverse modeling of CO2 using satellite|
|Tsinghua University||Yuxuan Wang ; Mingwei Li|
|Environment Canada||Ray Nassar||CO2 modeling and source sink estimation using satellite and in situ data|
|Caltech||CO2 source/sink estimation using ground-based FTS data|
|University of Wollongong||Nicholas Deutscher||CO2 source/sink estimation using ground-based FTS (TCCON) data and co-located surface measurements. Focus on Australia|
|Add yours here!|
In Nassar et al. (2010) model comparisons are made with GLOBALVEIW-CO2 (http://www.esrl.noaa.gov/gmd/ccgg/globalview/co2/co2_intro.html) and CONTRAIL (Comprehensive Observation Network for TRace gases by AIrLiner) measurements. In other work, the CO2 simulation has also been compared with aircraft observations from the HIAPER Pole-to-Pole Observations (HIPPO) campaigns of 2009 (Wofsy et al., 2010).
Some single-tracer restart files are available:
- CO2 restart file for GEOS4 (30 levels) on date 2000-01-01
- CO2 restart file for GEOS5 (47 levels) on date 2004-01-01
These two restart file have uniform CO2 values of 367.2 ppm for 2000-01-01 and 375.0 ppm for 2004-01-01, which are reasonable estimates of the global mean, but not realistic in the global distribution. Spinning up for one year will result in a realistic distribution in terms of both the global mean value and gross features (latitudinal gradient and seasonal/diurnal cycle) but accurate work will require adjusting or calibrating the restart file with actual measurements for the start of your run. The method of calibration using the sparse in situ measurements and/or satellite observations can be an active area of research on its own, so determining the approach to this is left to the user.
You can use the Git version control software to download GEOS-Chem run directories containing the above-mentioned restart files and other relevant input files (e.g. input.geos).
To download the GEOS-4 (30 levels) run directory, use this command:
To download the GEOS-5 (47 levels) run directory, use this command:
Nested-grid CO2 simulation
This update was tested in the 1-month benchmark simulation v9-01-03h and approved on 09 Mar 2012.
Yuxuan Wang wrote:
- The nested-grid CO2 simulation is developed and tested based on v8-02-01. Except for code changes for nested-grid simulation in general, specific changes are made to read the CO2 fluxes at 0.5x0.667 resolution . These fluxes are regridded to 0.5x0.667 either from 1x1 input files on the fly when running GEOS-Chem or from 2x2.5 data files off-line using IDL.
--Melissa Payer 16:00, 2 December 2011 (EST)
- Andres, R. J., G. Marland, I. Fung, and E. Matthews, A 1°x1° distribution of carbon dioxide emissions from fossil fuel consumption and cement manufacture, Global Biogeochem. Cycles, 10, 419–429, 1996.
- Andres, R. J., Gregg, J. S., Losey, L., Marland, G., and Boden, T. A.: Monthly, global emissions of carbon dioxide from fossil fuel consumption, Tellus B, 63B, 2011.
- Baker, D. F., et al., TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988-2003, Global Biogeochem. Cycles, 20, GB1002, doi:10.1029/2004GB002439, 2006.
- Boden, T.A., G. Marland, and R.J. Andres, Global, Regional, and National Fossil-Fuel CO2 Emissions. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A. doi 10.3334/CDIAC/00001, 2009.
- Corbett & Koehler, Updated emissions from ocean shipping, J. Geophys. Res., 108, D20, 4650, 2003.
- Corbett, J. J., and H. W. Koehler, Considering alternative input parameters in an activity-based ship fuel consumption and emissions model: Reply to comment by Øyvind Endresen et al. on Updated emissions from ocean shipping, J. Geophys. Res., 109, 2004.
- Duncan, B. N., R. V. Martin, A. C. Staudt, R. Yevich, and J. A. Logan, Interannual and seasonal variability of biomass burning emissions constrained by satellite observations, J. Geophys. Res., 108(D2), 4100, doi:10.1029/2002JD002378, 2003.
- Endresen, O, et al., A historical reconstruction of ships fuel consumption and emissions, J. Geophys. Res, 112, D12301, 2007.
- Enting, I. G. and Mansbridge, J. V.: Latitudinal distribution of sources and sinks of CO2: results of and inversion study, Tellus B, 43, 156–170, 1991.
- Kim, B. Y., et al., System for assessing Aviation's Global Emissions (SAGE) Version 1.5 global Aviation Emissions Inventories for 2000-2004, 2005.
- Kim, B. Y., et al., System for assessing Aviation’s Global Emissions (SAGE), Part 1: Model description and inventory results, Transportation Research, Part D 12, 325–346, 2007.
- Le Quere, C. et al., Trends in the sources and sinks of carbon dioxide, Nature Geoscience, doi:10.1038/ngeo689, 2009.
- Nassar, R., D. B. A. Jones, P. Suntharalingam, J. M. Chen, R. J. Andres, K. J. Wecht, R. M. Yantosca, S. S. Kualwik, K. W. Bowman, J. R. Worden, T. Machida, H. Matsueda, Modeling global atmospheric CO2 with improved emission inventories and CO2 production from the oxidation of other carbon species, Geoscientific Model Development, 3, 689-716, 2010.
- Olsen, S. C., and J. T. Randerson, Differences between surface and column atmospheric CO2 and implications for carbon cycle research, J. Geophys. Res., 109, D02301, doi:10.1029/2003JD003968, 2004.
- Potter, C. S., J. T. Randerson, C. B. Field, P. A. Matson, P. M. Vitousek, H. A. Mooney, and S. A. Klooster, Terrestrial ecosystem production: A process model based on global satellite and surface data, Global Biogeochem. Cycles, 7, 811–841, 1993.
- Sausen, R. and U. Schumann, Estimates of the Climate Response to Aircraft CO2 and NOx Emissions Scenarios, Climate Change, 44: 27-58, 2000.
- Suntharalingam, P., C. M. Spivakovsky, J. A. Logan, and M. B. McElroy, Estimating the distribution of terrestrial CO2 sources and sinks from atmospheric measurements: Sensitivity to configuration of the observation network, J. Geophys. Res., 108(D15), 4452, doi:10.1029/2002JD002207, 2003.
- Suntharalingam, P., D. J. Jacob, P. I. Palmer, J. A. Logan, R. M. Yantosca, Y. Xiao, M. J. Evans, D. G. Streets, S. L. Vay, and G. W. Sachse, Improved quantification of Chinese carbon fluxes using CO2/CO correlations in Asian outflow, J. Geophys. Res., 109, D18S18, doi:10.1029/2003JD004362, 2004.
- Suntharalingam, P., J. T. Randerson, N. Krakauer, J. A. Logan, and D. J. Jacob, Influence of reduced carbon emissions and oxidation on the distribution of atmospheric CO2: Implications for inversion analyses, Global Biogeochem. Cycles, 19, GB4003, doi:10.1029/2005GB002466, 2005.
- Takahashi, T., R. A. Feely, R. Weiss, R. H. Wanninkhof, D. W. Chipman, S. C. Sutherland, T. T. Takahashi, Global air-sea flux of CO2: an estimate based on measurements of sea-air pCO2 difference, Proc. Natl. Acad. Sci., 94, 8292–8299, 1997.
- Takahashi, T., et al., Climatological mean and decadal change in surface ocean pCO2, and net sea–air CO2 flux over the global oceans, Deep-Sea Res. II, doi:10.1016/j.dsr2.2008.12.009, 2009.
- Wang, C., J.J. Corbett, J. Firestone, Modeling Energy Use and Emissions from North American Shipping: Application of the Ship Traffic, Energy, and Environment Model, Environ. Sci. Technol., 41, 3226-3232, 2008.
- Wilkersen, J.T. et al., Analysis of emission data from global commercial Aviation: 2004 and 2006, Atmos. Chem. Phys. Disc., 10, 2945-2983, 2010.
- Wofsy, S.C., et al., HIAPER Pole-to-Pole Observations (HIPPO): Fine grained, global scale measurements of climatically important atmospheric gases and aerosols, Proceedings of the Royal Society A, 369, 2073-2086, 2011.
- Yevich, R., and J. A. Logan, An assessment of biofuel use and burning of agricultural waste in the developing world, Global Biogeochem. Cycles, 17(4), 1095, doi:10.1029/2002GB001952, 2003. PDF
Previous issues that are now resolved
Monthly CDIAC CO2 emissions
Although GEOS-Chem v8-03-02 will be released with the functionality to run with monthly fossil fuel CO2 emissions from CDIAC (R.J. Andres), the inventory files most likely will not be released until a later date, when the submitted paper Andres et al. (2010) is at a sufficient stage. Until then, annually-averaged fossil fuel CO2 emissions must be selected in the input.geos file.
--Bob Y. 12:26, 29 March 2010 (EDT)
--Ray Nassar 9:48, 25 June 2010 (EDT)
Update: 25 Feb 2010: Updated annual and monthly fossil fuel CO2 emissions from CDIAC (version 2010 by R. Andres) are now available for use in GEOS-Chem v8-03-02 and higher versions. These data are located in the data directories:
GEOS_2x2.5/CO2_201003/fossilfuel_andres/annual_v2010 GEOS_2x2.5/CO2_201003/fossilfuel_andres/monthly_v2010 GEOS_4x5/CO2_201003/fossilfuel_andres/annual_v2010 GEOS_4x5/CO2_201003/fossilfuel_andres/monthly_v2010
The 1° x 1° data will be available by special request. Please contact the GEOS-Chem Support Team.
For more information, please see the following README files:
- 2° x 2.5° global data: GEOS_2x2.5/CO2_201003/fossilfuel_andres/README
- 4° x 5° global data: GEOS_2x2.5/CO2_201003/fossilfuel_andres/README
--Bob Y. 11:48, 25 February 2011 (EST)
Fix for regridding error in offline CO2 simulation
We have corrected this issue as a post-release patch on 22 Sep 2012. This issue does not affect the full-chemistry simulations, only the CO2 simulation.
Ray Nassar wrote:
- There is a bug in v9-01-03 for the CO2 simulation that causes a crash. It relates to the MAP_A2A regridding and the fact that the net terrestrial exchange file is named with geos.1x1 (360x181) although it is actually generic 1x1 (360x180) and it is trying to be read as geos.1x1.
Bob Yantosca wrote:
- I fixed the issue in the CO2 code. To avoid further confusion, I made a symbolic link in the data directory:
cd /as/data/geos/GEOS_1x1/CO_201003 ln –s Net_terrestrial_exch_5.29Pg.geos.1x1 Net_terrestrial_exch_5.29Pg.generic.1x1
- and then I made these changes in the code:
! Arrays and pointers REAL*4 :: ARRAY (IIPAR,JJPAR,1) REAL*4 :: ARRAY_1x1(I1x1,J1x1-1,1) REAL*8, TARGET :: GEN_1x1 (I1x1,J1x1-1,1) REAL*8, TARGET :: GEOS_GRID(IIPAR,JJPAR,1) REAL*8, POINTER :: INGRID (:,:) => NULL() REAL*8, POINTER :: OUTGRID(:,:) => NULL() . . . !------------------------------------ ! Read climatological Bionet data !------------------------------------ IF ( LBIONETCLIM ) THEN ! TAU value for start of "generic" year 2000 TAU = GET_TAU0( 1, 1, 2000 ) !----------------------------------------------------------------------------- !%%% v9-01-03 POST-RELEASE PATCH (bmy, 10/2/12) !%%% NOTE: Someone mislabeled the Net_terrestrial_exch file, it is labeled !%%% "geos.1x1" but is on the GENERIC 1x1 grid. Therefore, we shall rename !%%% this file accordingly and use the generic grid indices (I1x1,J1x1-1) !%%% etc. below. (bmy, 10/2/12) !%%% ! Filename !%%% FILENAME = TRIM( DATA_DIR_1x1 ) // !%%% & 'CO2_201003/Net_terrestrial_exch_5.29Pg.geos.1x1' !%%% !%%% ! Echo info !%%% WRITE( 6, 100 ) TRIM( FILENAME ) !%%% !%%% ! Read Net Terrestrial CO2 Exchange [molec/cm2/s] !%%% CALL READ_BPCH2( FILENAME, 'CO2-SRCE', 6, !%%% & TAU, I1x1, J1x1 !%%% & 1, ARRAY, QUIET=.TRUE. ) !%%% !%%% ! Cast to REAL*8 before regridding !%%% GEOS_1x1(:,:,1) = ARRAY(:,:,1) !%%% !%%% ! File with lat/lon edges for regridding !%%% LLFILENAME = TRIM( DATA_DIR_1x1) // !%%% & 'MAP_A2A_Regrid_201203/MAP_A2A_latlon_geos1x1.nc' !%%% !%%% ! Regrid from GEOS 1x1 --> current model resolution !%%% INGRID => GEOS_1x1 (:,:,1) !%%% OUTGRID => GEOS_GRID(:,:,1) !%%% CALL DO_REGRID_A2A( LLFILENAME, I1x1, J1x1, !%%% & INGRID, OUTGRID, PERAREA=0, !%%% & netCDF=.TRUE. ) !----------------------------------------------------------------------------- ! Filename FILENAME = TRIM( DATA_DIR_1x1 ) // & 'CO2_201003/' // & 'Net_terrestrial_exch_5.29Pg.generic.1x1' ! Echo info WRITE( 6, 100 ) TRIM( FILENAME ) ! Read Net Terrestrial CO2 Exchange [molec/cm2/s] CALL READ_BPCH2( FILENAME, 'CO2-SRCE', 6, & TAU, I1x1, J1x1-1, & 1, ARRAY_1x1, QUIET=.TRUE. ) ! Cast to REAL*8 before regridding GEN_1x1(:,:,1) = ARRAY_1x1(:,:,1) ! File with lat/lon edges for regridding LLFILENAME = TRIM( DATA_DIR_1x1) // & 'MAP_A2A_Regrid_201203/' // & 'MAP_A2A_latlon_generic1x1.nc' ! Regrid from GEOS 1x1 --> current model resolution INGRID => GEN_1x1 (:,:,1) OUTGRID => GEOS_GRID(:,:,1) CALL DO_REGRID_A2A( LLFILENAME, I1x1, J1x1-1, & INGRID, OUTGRID, PERAREA=0, & netCDF=.TRUE. ) ! Free pointers NULLIFY( INGRID, OUTGRID ) ... etc ...
I pushed these to the GEOS_Chem repository (and also the GC_Bleeding_Edge repository). You can get it with:
git pull git://git.as.harvard.edu/bmy/GEOS-Chem master
The commit was tagged with “Fix_for_CO2_sim” and is labeled:
v9-01-03 post-release patch to fix bug in CO2 simulation
--Bob Y. 15:20, 20 December 2012 (EST)