The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Evaluation of black carbon estimations in global aerosol models
Open accessAbstract
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.
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Citations
Cites
Light Absorption by Carbonaceous Particles: An Investigative Review
Bond, T. C., & Bergstrom, R. W. (2006) · Aerosol Science and Technology · doi:10.1080/02786820500421521 · Cited by 2,980
Self-citationBlack carbon or brown carbon? The nature of light-absorbing carbonaceous aerosols
Andreae, M. O., & Gelencsér, A. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3131-2006 · Cited by 2,006
Interannual variability in global biomass burning emissions from 1997 to 2004
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Kasibhatla, P. S., & Arellano, A. F. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3423-2006 · Cited by 1,656
Global estimation of burned area using MODIS active fire observations
Giglio, L., van der Werf, G. R., Randerson, J. T., Collatz, G. J., & Kasibhatla, P. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-957-2006 · Cited by 635
Warneke, C., Bahreini, R., Brioude, J., Brock, C. A., de Gouw, J. A., Fahey, D. W., Froyd, K. D., Holloway, J. S., Middlebrook, A., Miller, L., et al. (2009) · Geophysical Research Letters · doi:10.1029/2008gl036194 · Cited by 260
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Cited by
Bounding the role of black carbon in the climate system: A scientific assessment
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50171 · Cited by 6,385
Self-citationGlobal dust model intercomparison in AeroCom phase I
Huneeus, N., Schulz, M., Balkanski, Y., Griesfeller, J., Prospero, J., Kinne, S., Bauer, S., Boucher, O., Chin, M., Dentener, F., et al. (2011) · Atmospheric Chemistry and Physics · doi:10.5194/acp-11-7781-2011 · Cited by 1,074
Self-citationLiu, X., Ma, P.-L., Wang, H., Tilmes, S., Singh, B., Easter, R. C., Ghan, S. J., & Rasch, P. J. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-505-2016 · Cited by 671
Self-citationAir Quality and Climate Connections
Fiore, A. M., Naik, V., & Leibensperger, E. M. (2015) · Journal of the Air & Waste Management Association · doi:10.1080/10962247.2015.1040526 · Cited by 537
Lamarque, J.-F., Kyle, G. P., Meinshausen, M., Riahi, K., Smith, S. J., van Vuuren, D. P., Conley, A. J., & Vitt, F. (2011) · Climatic Change · doi:10.1007/s10584-011-0155-0 · Cited by 466
Metadata
- Authors
- Koch, D., Schulz, M., Kinne, S., McNaughton, C., Spackman, J. R., Balkanski, Y., Bauer, S., Berntsen, T., Bond, T. C., Boucher, O., Chin, M., Clarke, A., De Luca, N., Dentener, F., Diehl, T., Dubovik, O., Easter, R., Fahey, D. W., Feichter, J., Fillmore, D., Freitag, S., Ghan, S., Ginoux, P., Gong, S., Horowitz, L., Iversen, T., Kirkevåg, A., Klimont, Z., Kondo, Y., Krol, M., Liu, X., Miller, R., Montanaro, V., Moteki, N., Myhre, G., Penner, J. E., Perlwitz, J., Pitari, G., Reddy, S., Sahu, L., Sakamoto, H., Schuster, G., Schwarz, J. P., Seland, Ø., Stier, P., Takegawa, N., Takemura, T., Textor, C., van Aardenne, J. A., & Zhao, Y.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2009-11-27
- Volume
- 9
- Issue
- 22
- Pages
- 9001-9026
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2132002340
- Cited by
- 564
- References
- 5
- FWCI
- 24.30
- Type
- journal article
- Language
- en
- Open access
- gold
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- Koch, D., Schulz, M., Kinne, S., McNaughton, C., Spackman, J. R., Balkanski, Y., Bauer, S., Berntsen, T., Bond, T. C., Boucher, O., Chin, M., Clarke, A., De Luca, N., Dentener, F., Diehl, T., Dubovik, O., Easter, R., Fahey, D. W., Feichter, J., . . . Zhao, Y. (2009). Evaluation of black carbon estimations in global aerosol models. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-9-9001-2009
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