Evaluation of black carbon estimations in global aerosol models
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 concentr...
Published in: | Atmospheric Chemistry and Physics |
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European Geosciences Union (EGU)
2009
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Online Access: | https://pure.iiasa.ac.at/id/eprint/8805/ https://pure.iiasa.ac.at/id/eprint/8805/1/acp-9-9001-2009.pdf https://pure.iiasa.ac.at/id/eprint/8805/2/acp-10-79-2010.pdf https://doi.org/10.5194/acp-9-9001-2009 |
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ftiiasalaxenburg:oai:pure.iiasa.ac.at:8805 2023-05-15T15:00:42+02:00 Evaluation of black carbon estimations in global aerosol models Koch, D. Schulz, M. Kinne, S. Klimont, Z. 2009-11 text https://pure.iiasa.ac.at/id/eprint/8805/ https://pure.iiasa.ac.at/id/eprint/8805/1/acp-9-9001-2009.pdf https://pure.iiasa.ac.at/id/eprint/8805/2/acp-10-79-2010.pdf https://doi.org/10.5194/acp-9-9001-2009 en eng European Geosciences Union (EGU) https://pure.iiasa.ac.at/id/eprint/8805/1/acp-9-9001-2009.pdf https://pure.iiasa.ac.at/id/eprint/8805/2/acp-10-79-2010.pdf Koch, D., Schulz, M., Kinne, S., & Klimont, Z. <https://pure.iiasa.ac.at/view/iiasa/159.html> orcid:0000-0003-2630-198X (2009). Evaluation of black carbon estimations in global aerosol models. Atmospheric Chemistry and Physics 9 (22) 9001-9026. 10.5194/acp-9-9001-2009 <https://doi.org/10.5194/acp-9-9001-2009>. doi:10.5194/acp-9-9001-2009 Article PeerReviewed 2009 ftiiasalaxenburg https://doi.org/10.5194/acp-9-9001-2009 2023-04-07T14:48:37Z 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) from AERONET and Ozone Monitoring Instrument (OMI) retrievals 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 retrievals, 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 0.6 for AAOD and 0.5 for BC surface concentrations. Compared with aircraft measurements over the Americas at latitudes between 0 and 50 N, the average model is a factor of 10 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 is 0.6 and underestimates 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 of 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 ... Article in Journal/Newspaper Arctic black carbon IIASA PURE (International Institute of Applied Systems Analysis: PUblications REpository) Arctic Atmospheric Chemistry and Physics 9 22 9001 9026 |
institution |
Open Polar |
collection |
IIASA PURE (International Institute of Applied Systems Analysis: PUblications REpository) |
op_collection_id |
ftiiasalaxenburg |
language |
English |
description |
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) from AERONET and Ozone Monitoring Instrument (OMI) retrievals 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 retrievals, 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 0.6 for AAOD and 0.5 for BC surface concentrations. Compared with aircraft measurements over the Americas at latitudes between 0 and 50 N, the average model is a factor of 10 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 is 0.6 and underestimates 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 of 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 ... |
format |
Article in Journal/Newspaper |
author |
Koch, D. Schulz, M. Kinne, S. Klimont, Z. |
spellingShingle |
Koch, D. Schulz, M. Kinne, S. Klimont, Z. Evaluation of black carbon estimations in global aerosol models |
author_facet |
Koch, D. Schulz, M. Kinne, S. Klimont, Z. |
author_sort |
Koch, D. |
title |
Evaluation of black carbon estimations in global aerosol models |
title_short |
Evaluation of black carbon estimations in global aerosol models |
title_full |
Evaluation of black carbon estimations in global aerosol models |
title_fullStr |
Evaluation of black carbon estimations in global aerosol models |
title_full_unstemmed |
Evaluation of black carbon estimations in global aerosol models |
title_sort |
evaluation of black carbon estimations in global aerosol models |
publisher |
European Geosciences Union (EGU) |
publishDate |
2009 |
url |
https://pure.iiasa.ac.at/id/eprint/8805/ https://pure.iiasa.ac.at/id/eprint/8805/1/acp-9-9001-2009.pdf https://pure.iiasa.ac.at/id/eprint/8805/2/acp-10-79-2010.pdf https://doi.org/10.5194/acp-9-9001-2009 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic black carbon |
genre_facet |
Arctic black carbon |
op_relation |
https://pure.iiasa.ac.at/id/eprint/8805/1/acp-9-9001-2009.pdf https://pure.iiasa.ac.at/id/eprint/8805/2/acp-10-79-2010.pdf Koch, D., Schulz, M., Kinne, S., & Klimont, Z. <https://pure.iiasa.ac.at/view/iiasa/159.html> orcid:0000-0003-2630-198X (2009). Evaluation of black carbon estimations in global aerosol models. Atmospheric Chemistry and Physics 9 (22) 9001-9026. 10.5194/acp-9-9001-2009 <https://doi.org/10.5194/acp-9-9001-2009>. doi:10.5194/acp-9-9001-2009 |
op_doi |
https://doi.org/10.5194/acp-9-9001-2009 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
9 |
container_issue |
22 |
container_start_page |
9001 |
op_container_end_page |
9026 |
_version_ |
1766332780386451456 |