Differences in the aerosol indirect effect between simulations with GEOS-Chem Bulk and TOMAS. Jack Kodros & Jeff Pierce
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1 Differences in the aerosol indirect effect between simulations with GEOS-Chem Bulk and TOMAS Jack Kodros & Jeff Pierce
2 Aerosol representation in models: predict size distribution or scale size distribution GEOS-Chem-TOMAS (sectional aerosol scheme) Add tracers for aerosol size (40-bin TOMAS ~360 tracers) computational burden
3 Aerosol representation in models: predict size distribution or scale size distribution GEOS-Chem-TOMAS (sectional aerosol scheme) Add tracers for aerosol size (40-bin TOMAS ~360 tracers) computational burden GEOS-Chem (standard) (bulk aerosol scheme) Track only total mass, assume fixed lognormal modes simplification
4 Standard bulk GEOS-Chem aerosol: single fixed mode for sulfate everywhere Aerosol number distribution for 1 µg m -3 sulfate dn/dlog10(dp) [cm -3 ] Standard GEOS-Chem Diameter [µm]
5 Nucleation-rich region: Standard GEOS-Chem assumption is wrong Aerosol number distribution for 1 µg m -3 sulfate Nucleation-dominated region dn/dlog10(dp) [cm -3 ] Standard GEOS-Chem Diameter [µm]
6 Aqueous-oxidation-dominated region: Standard GEOS-Chem assumption also wrong Aerosol number distribution for 1 µg m -3 sulfate Nucleation-dominated region dn/dlog10(dp) [cm -3 ] Aqueous-ox.-dominated region Standard GEOS-Chem Diameter [µm]
7 Same total mass, very different CCN concentration Aerosol number distribution for 1 µg m -3 sulfate dn/dlog10(dp) [cm -3 ] Aqueous-ox.-dominated region Nucleation-dominated region Cloud Condensation Nuclei (Cloud-relevant sizes) Standard GEOS-Chem Diameter [µm]
8 Same total mass, very different CCN concentration Aerosol number distribution for 1 µg m -3 sulfate dn/dlog10(dp) [cm -3 ] Aqueous-ox.-dominated region Nucleation-dominated region Cloud Condensation Nuclei (Cloud-relevant sizes) Standard GEOS-Chem One size does not fit all for aerosol-cloud interactions Diameter [µm]
9 How do aerosol size distributions change around the globe due to anthropogenic emissions? In the standard GEOS-Chem model, the aerosol size distribution is assumed not to change What are the errors in the aerosol indirect effect because of this?
10 Experiment: Compare the aerosol indirect effect due to all anthropogenic emissions present day Simulation 1: all emissions included - pre-industrial Simulation 2: turn off all anthropogenic gas and aerosol emissions
11 Aerosol indirect effect due to anthropogenic emissions in TOMAS (-0.87 W m -2 )
12 Important differences in AIE (Standard-TOMAS) Difference: +0.2 W m -2 (24%) W m -2 More cloud reflectivity in Standard More cloud reflectivity in TOMAS
13 Decreasing particle size in TOMAS, larger relative increase in CCN for the same Δ mass TOMAS TOMAS (anthro off) Standard Standard (anth off) dn/dlog10(dp) [cm -3 ] Diameter [µm]
14 dn/dlog10(dp) [cm -3 ] Increasing particle size in TOMAS from aqueous oxidation, less CCN for same Δ mass TOMAS TOMAS (anthro off) Standard Standard (anthro off) Diameter [µm]
15 Comparison to observations: Both methods produce realistic results in present-day TOMAS CCN-sized particles Standard CCN-sized particles Model [cm -3 ] Observations [cm -3 ]
16 Aerosol number distribution for 1 µg m -3 sulfate Conclusion dn/dlog10(dp) [cm -3 ] Assuming fixed size distributions Diameter [µm] leads to differences in the estimated aerosol indirect effect Kodros, J. K., Pierce, J. R.: Important global and regional differences in cloud-albedo aerosol indirect effect estimates between simulations with and without prognostic aerosol microphysics, J. Geophys. Res., 2017.
17 List of ACCMIP models CICERO-OsloCTM2 CSIRO-Mk3.6 GFDL-AM3 GISS-E2-R GISS-E2-R-TOMAS HadGEM2 LMDzORINCA MIROC-CHEM NCAR-CAM3.5 NCAR-CAM5.1
18 With size resolution? CICERO-OsloCTM2 CSIRO-Mk3.6 GFDL-AM3 GISS-E2-R GISS-E2-R-TOMAS HadGEM2 LMDzORINCA MIROC-CHEM NCAR-CAM3.5 NCAR-CAM5.1
19 Included in APCC AR5? CICERO-OsloCTM2 CSIRO-Mk3.6 GFDL-AM3 GISS-E2-R GISS-E2-R-TOMAS HadGEM2 LMDzORINCA MIROC-CHEM NCAR-CAM3.5 NCAR-CAM5.1
20 (a) TOMAS anth on (b) LOGNORMAL anth on (c) TOMAS anth off (d) LOGNORMAL anth off cm 3
21 Comparison to observations: Both methods produce realistic results in present-day N10 N40 N80 N150 Model [cm-3] TOMAS LOGNORMAL Observations [cm-3]
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