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Evaluation of black carbon estimations in global aerosol models

Atmospheric chemistry and physics · 2009 · Vol. 9(22) · pp. 9001–9026
D. KochMichael SchulzStefan KinneC. S. McNaughtonJ. R. SpackmanYves BalkanskiSusanne E. BauerTerje K. BerntsenTami C. BondOliviér BoucherMian ChinA. D. ClarkeNatalia De LucaFrank DentenerT. DiehlОleg DubovikR. C. EasterD. W. FaheyJ. FeichterDavid FillmoreSteffen FreitagS. J. GhanPaul GinouxSunling GongLarry W. HorowitzTrond IversenA. Kirkev amp aring gZbigniew KlimontY. KondoMaarten KrolXiaohong LiuRose Marie MillerV. MontanaroNobuhiro MotekiGunnar MyhreJoyce E. PennerJ. PerlwitzGiovanni PitariS. ReddyL. K. SahuH. SakamotoG. L. SchusterJaroslav SchwarzØyvind SelandPhilip StierN. TakegawaToshihiko TakemuraC. TextorJ. A. van AardenneY. Zhao

Abstract

Abstract. We evaluate black carbon (BC) model predictions from the AeroCom model intercomparison project by considering the diversity among year 2000 model simulations and comparing model predictions with available measurements. These model-measurement intercomparisons include BC surface and aircraft concentrations, aerosol absorption optical depth (AAOD) retrievals from AERONET and Ozone Monitoring Instrument (OMI) and BC column estimations based on AERONET. In regions other than Asia, most models are biased high compared to surface concentration measurements. However compared with (column) AAOD or BC burden retreivals, the models are generally biased low. The average ratio of model to retrieved AAOD is less than 0.7 in South American and 0.6 in African biomass burning regions; both of these regions lack surface concentration measurements. In Asia the average model to observed ratio is 0.7 for AAOD and 0.5 for BC surface concentrations. Compared with aircraft measurements over the Americas at latitudes between 0 and 50N, the average model is a factor of 8 larger than observed, and most models exceed the measured BC standard deviation in the mid to upper troposphere. At higher latitudes the average model to aircraft BC ratio is 0.4 and models underestimate the observed BC loading in the lower and middle troposphere associated with springtime Arctic haze. Low model bias for AAOD but overestimation of surface and upper atmospheric BC concentrations at lower latitudes suggests that most models are underestimating BC absorption and should improve estimates for refractive index, particle size, and optical effects of BC coating. Retrieval uncertainties and/or differences with model diagnostic treatment may also contribute to the model-measurement disparity. Largest AeroCom model diversity occurred in northern Eurasia and the remote Arctic, regions influenced by anthropogenic sources. Changing emissions, aging, removal, or optical properties within a single model generated a smaller change in model predictions than the range represented by the full set of AeroCom models. Upper tropospheric concentrations of BC mass from the aircraft measurements are suggested to provide a unique new benchmark to test scavenging and vertical dispersion of BC in global models.

Atmospheric chemistry and aerosolsAtmospheric aerosols and cloudsAir Quality and Health ImpactsEnvironmental scienceAERONETTroposphereAtmospheric sciencesAerosolHazeOzone Monitoring InstrumentLatitudeCarbon blackMeteorology

Funding

  • U.S. Department of Energy
  • National Aeronautics and Space Administration
  • Battelle
  • Norges Forskningsråd
  • Office of Science
  • Goddard Space Flight Center
  • Langley Research Center
  • Pacific Northwest National Laboratory
Citations
662
FWCI
39.33
field-weighted impact
References
130
Percentile
100%
vs. same field & year
Citations per year
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Journal of the Atmospheric Sciences · 1980 · 1,237 citations
Global and regional climate changes due to black carbon
Nature Geoscience · 2008 · 3,838 citations
Sources and distributions of dust aerosols simulated with the GOCART model
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