Absorbing aerosols over Asia – an inter-model and model-observation comparison study using CAM5.3-Oslo
By: L. Frey, F. Höpner, Alf Kirkevåg and F. A.-M. Bender
References
- Albrecht, B. A. 1989. Aerosols, cloud microphysics, and fractional cloudiness. Science 245 , 1227–1230. doi:10.1126/science.245.4923.1227
- Andrews, E. , Ogren, J. A. , Kinne, S. and Samset, B. 2017. Comparison of AOD, AAOD and column single scattering albedo from AERONET retrievals and in situ profiling measurements. Atmos. Chem. Phys. 17 , 6041–6072. 2017. doi:10.5194/acp-17-6041-2017
- Bellouin, N. , Quaas, J. , Gryspeerdt, E. , Kinne, S. , Stier, P. and co-authors. 2020. Bounding global aerosol radiative forcing of climate change. Rev. Geophys. 58 , e2019RG000660.,
- Bond, T. C. and Bergstrom, R. W. 2006. Light absorption by carbonaceous particles: An investigative review. Aerosol Sci. Technol. 40 , 27–67. doi:10.1080/02786820500421521
- Bond, T. C. , Doherty, S. J. , Fahey, D. W. , Forster, P. M. , Berntsen, T. and co-authors. 2013. Bounding the role of black carbon in the climate system: A scientific assessment. J. Geophys. Res. Atmos. 118 , 5380–5552. doi:10.1002/jgrd.50171
- Boucher, O. , Balkanski, Y. , Hodnebrog, Ø. , Myhre, C. L. , Myhre, G. and co-authors. 2016. Jury is still out on the radiative forcing by black carbon. Proc. Natl. Acad. Sci. U S A. 113 , E5092–E5093. doi:10.1073/pnas.1607005113
- Boucher, O. , Randall, D. , Artaxo, P. , Bretherton, C. , Feingold, G. and co-authors. 2013. Clouds and aerosols. In: Climate Change 2013: Physical Science Basis. Contribution of Working Group I to Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
- Brown, H. , Liu, X. , Feng, Y. , Jiang, Y. , Wu, M. and co-authors. 2018. Radiative effect and climate impacts of brown carbon with the Community Atmosphere Model (CAM5). Atmos. Chem. Phys. 18, 17745–17768. doi:10.5194/acp-18-17745-2018
- Buchard, V. , Randles, C. A. , da Silva, A. M. , Darmenov, A. , Colarco, P. R. and co-authors. 2017. The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies. J. Clim. 30 , 6851–6872. doi:10.1175/JCLI-D-16-0613.1
- Chung, C. E. , Ramanathan, V. and Decremer, D. 2012. Observationally constrained estimates of carbonaceous aerosol radiative forcing. Proc. Natl. Acad. Sci. U S A 109 , 11624–11629. doi:10.1073/pnas.1203707109
- Colarco, P. , da Silva, A. , Chin, M. and Diehl, T. 2010. Online simulations of global aerosol distributions in the NASA GEOS-4 model and comparisons to satellite and ground-based aerosol optical depth. J. Geophys. Res. 115 , D14207. doi:10.1029/2009JD012820
- Dalirian, M. , Ylisirniö, A. , Buchholz, A. , Schlesinger, D. , Ström, J. and co-authors. 2018. Cloud droplet activation of black carbon particles coated with organic compounds of varying solubility. Atmos. Chem. Phys. 18 , 12477–12489. doi:10.5194/acp-18-12477-2018
- Dasari, S. , Andersson, A. , Bikkina, S. , Holmstrand, H. , Budhavant, K. and co-authors. 2019. Photochemical degradation affects the light absorption of water-soluble brown carbon in the South Asian outflow. Sci. Adv. 5 , eaau8066. doi:10.1126/sciadv.aau8066
- Dentener, F. , Kinne, S. , Bond, T. , Boucher, O. , Cofala, J. and co-authors. 2006. Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom. Atmos. Chem. Phys. 6 , 4321–4344. doi:10.5194/acp-6-4321-2006
- Eck, T. F. , Holben, B. N. , Sinyuk, A. , Pinker, R. T. , Goloub, P. and co-authors. 2010. Climatological aspects of the optical properties of fine/coarse mode aerosol mixtures. J. Geophys. Res. 115, D19205. doi:10.1029/2010JD014002 ;
- Forrister, H. , Liu, J. , Scheuer, E. , Dibb, J. , Ziemba, L. and co-authors. 2015. Evolution of brown carbon in wildfire plumes. Geophys. Res. Lett. 42 , 4623–4630. doi:10.1002/2015GL063897
- Gautam, R. , Hsu, N. C. , Eck, T. F. , Holben, B. N. , Janjai, S. and co-authors. 2013. Characterization of aerosols over the Indochina peninsula from satellite-surface observations during biomass burning pre-monsoon season. Atmos. Environ. 78 , 51–59. doi:10.1016/j.atmosenv.2012.05.038
- Gelaro, R. , McCarty, W. , Suárez, M. J. , Todling, R. , Molod, A. and co-authors. 2017. The modern-era retrospective analysis for research and applications, version 2 (MERRA-2). J. Clim. 30 , 5419–5454. doi:10.1175/JCLI-D-16-0758.1
- Giles, D. M. , Sinyuk, A. , Sorokin, M. G. , Schafer, J. S. , Smirnov, A. and co-authors. 2019. Advancements in the Aerosol Robotic Network (AERONET) version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements. Atmos. Meas. Tech. 12 , 169–209. doi:10.5194/amt-12-169-2019
- Gliß, J. , Mortier, A. , Schulz, M. , Andrews, E. , Balkanski, Y. and co-authors. 2021. AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations. Atmos. Chem. Phys. 21, 87–128. doi:10.5194/acp-21-87-2021
- Gustafsson, Ö. and Ramanathan, V. 2016. Convergence on climate warming by black carbon aerosols. Proc. Natl. Acad. Sci. U S A 113 , 4243–4245. doi:10.1073/pnas.1603570113
- Gustafsson, Ö. , Kruså, M. , Zencak, Z. , Sheesley, R. J. , Granat, L. and co-authors. 2009. Brown clouds over South Asia: Biomass or fossil fuel combustion? Science 323 , 495–498. doi:10.1126/science.1164857
- Hodnebrog, Ø. , Myhre, G. , and Samset, B. H. 2014. How shorter black carbon lifetime alters its climate effect. Nat. Commun. 5 , 5065. doi:10.1038/ncomms6065
- Hoesly, R. M. , Smith, S. J. , Feng, L. , Klimont, Z. , Janssens-Maenhout, G. and co-authors. 2018. Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS). Geosci. Model Dev. 11 , 369–408. doi:10.5194/gmd-11-369-2018
- Holben, B. N. , Eck, T. F. , Slutsker, I. , Tanre, D.P. , B. J., Setzer . and co-authors. 1998. A federated instrument network and data archive for aerosol characterization. Remote Sens. Environ. 66 , 1–16. doi:10.1016/S0034-4257(98)00031-5
- Kirkevåg, A. , Grini, A. , Olivié, D. , Seland, Ø. , Alterskjaer, K. and co-authors. 2018. A production-tagged aerosol module for Earth system models. Geosci. Model Dev. 11 , 3945–3982. doi:10.5194/gmd-11-3945-2018
- Kirkevåg, A. , Iversen, T. , Seland, Ø. , Debernard, J. B. , Storelvmo, T. and co-authors. 2008. Aerosol-cloud-climate interactions in the climate model CAM-Oslo. Tellus A 60 , 492–512. doi:10.1111/j.1600-0870.2007.00313.x
- Klingmüller, K. , Steil, B. , Brühl, C. , Tost, H. and Lelieveld, J. 2014. Sensitivity of aerosol radiative effects to different mixing assumptions in the AEROPT 1.0 submodel of the EMAC atmospheric-chemistry–climate model. Geosci. Model Dev. 7 , 2503–2516. doi:10.5194/gmd-7-2503-2014
- Koch, D. and Del Genio, A. D. 2010. Black carbon semi-direct effects on cloud cover: Review and synthesis. Atmos. Chem. Phys. 10 , 7685–7696. doi:10.5194/acp-10-7685-2010
- Kok, J. F. , Ridley, D. A. , Zhou, Q. , Miller, R. L. , Zhao, C. and co-authors. 2017. Integrative analysis of desert dust size and abundance suggests less dust climate cooling. Nat. Geosci. 10 , 274–278. doi:10.1038/ngeo2912
- Liu, X. , Ma, P.-L. , Wang, H. , Tilmes, S. , Singh, B. and co-authors. 2016. Description and evaluation of a new four-mode version of the Modal Aerosol Module (MAM4) within version 5.3 of the Community Atmosphere Model. Geosci. Model Dev. 9 , 505–522. doi:10.5194/gmd-9-505-2016
- Lund, M. T. , Samset, B. H. , Skeie, R. B. , Watson-Parris, D. , Katich, J. M. and co-authors. 2018. Short black carbon lifetime inferred from a global set of aircraft observations. Nat. pj Clim. Atmos. Sci. 1 , 2397–3722.
- Makkonen, R. , Seland, Ø. , Kirkevåg, A. , Iversen, T. and Kristjánsson, J. E. 2014. Evaluation of aerosol number concentrations in NorESM with improved nucleation parameterization. Atmos. Chem. Phys. 14 , 5127–5152. doi:10.5194/acp-14-5127-2014
- Mann, G. W. , Carslaw, K. S. , Spracklen, D. V. , Ridley, D. A. , Manktelow, P. T. and co-authors. 2010. Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model. Geosci. Model Dev. 3 , 519–551. doi:10.5194/gmd-3-519-2010
- Mollard, J. 2018. Improving the simulation of carbonaceous aerosol in HadGEM3-UKCA, PhD thesis, University of Reading.
- Molod, A. , Takacs, L. , Suarez, M. and Bacmeister, J. 2015. Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. Geosci. Model Dev. 8 , 1339–1356. doi:10.5194/gmd-8-1339-2015
- Myhre, G. , Shindell, D. , Bréon, F.-M. , Collins, W. , Fuglestvedt, J. and co-authors. 2013. Anthropogenic and natural radiative forcing, In: Climate Change 2013: Physical Science Basis. Contribution of Working Group I to Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, pp. 658–740.
- Nakayama, T. , Ikeda, Y. , Sawada, Y. , Setoguchi, Y. , Ogawa, S. and co-authors. 2014. Properties of light-absorbing aerosols in the Nagoya urban area, Japan, in August 2011 and January 2012: Contributions of brown carbon and lensing effect. J. Geophys. Res. Atmos. 119 , 12,721–12,739. doi:10.1002/2014JD021744
- Neale, R. B. , Chen, C.-C. , Gettelman, A. , Lauritzen, P. H. , Park, S. and co-authors. 2012. Description of the NCAR Community Atmosphere Model (CAM 5.0), NCAR Tech. Note NCAR-TN-486CSTR.
- Pan, X. , Chin, M. , Gautam, R. , Bian, H. , Kim, D. and co-authors. 2015. A multi-model evaluation of aerosols over South Asia: Common problems and possible causes. Atmos. Chem. Phys. 15 , 5903–5928. doi:10.5194/acp-15-5903-2015
- Peng, J. , Hu, M. , Guo, S. , Zheng, J. , Shang, D. and co-authors. 2016. Markedly enhanced absorption and direct radiative forcing of black carbon under polluted urban environments. Proc Natl Acad Sci U S A. 113 , 4266–4271. doi:10.1073/pnas.1602310113
- Petzold, A. , Rasp, K. , Weinzierl, B. , Esselborn, M. , Hamburger, T. and co-authors. 2009. Saharan dust absorption and refractive index from aircraft-based observations during SAMUM 2006. Tellus B 61 , 118–130. doi:10.1111/j.1600-0889.2008.00383.x
- Platnick, S. , Hubanks, P. , Meyer, K. and King, M. D. 2015. MODIS Atmosphere L3 Monthly Product. NASA MODIS Adaptive Processing System, Technical Report, Goddard Space Flight Center, USA.
- Ramana, M. V. , and Ramanathan, V. 2006. Abrupt transition from natural to anthropogenic aerosol radiative forcing: Observations at the ABC-Maldives Climate Observatory. J. Geophys. Res. 111 , D20207. doi:10.1029/2006JD007063
- Ramanathan, V. and Carmichael, G. 2008. Global and regional climate changes due to black carbon. Nat. Geosci. 1 , 221–227. doi:10.1038/ngeo156
- Randles, C. A. , da Silva, A. M. , Buchard, V. , Colarco, P. R. , Darmenov, A. and co-authors. 2017. The MERRA-2 Aerosol Reanalysis, 1980 - onward, Part I: System description and data assimilation evaluation. J. Clim. 30 , 6823–6850. doi:10.1175/JCLI-D-16-0609.1
- Remer, L. A. , Kaufman, Y. J. , Tanré, D. , Mattoo, S. , Chu, D. A. and co-authors. 2005. The MODIS aerosol algorithm, products, and validation. J. Atmos. Sci. 62 , 947–973. doi:10.1175/JAS3385.1
- Saleh, R. , Marks, M. , Heo, J. , Adams, P. J. , Donahue, N. M. and Robinson, A. L. 2015. Contribution of brown carbon and lensing to the direct radiative effect of carbonaceous aerosols from biomass and biofuel burning emissions. J. Geophys. Res. 120 , 10285–10296.
- Saleh, R. , Robinson, E. S. , Tkacik, D. S. , Ahern, A. T. , Liu, S. and co-authors. 2014. Brownness of organics in aerosols from biomass burning linked to their black carbon content. Nat. Geosci. 7 , 647–650. doi:10.1038/ngeo2220
- Salter, M. E. , Zieger, P. , Acosta Navarro, J. C. , Grythe, H. , Kirkevåg, A. and co-authors. 2015. An empirically derived inorganic sea spray source function incorporating sea surface temperature. Atmos. Chem. Phys. 15 , 11047–11066. doi:10.5194/acp-15-11047-2015
- Samset, B. H. , Stjern, C. W. , Andrews, E. , Kahn, R. A. , Myhre, G. and co-authors. 2018. Aerosol absorption: Progress towards global and regional constraints. Curr. Clim. Change Rep. 4 , 65–83. doi:10.1007/s40641-018-0091-4
- Schutgens, N. A. J. , Gryspeerdt, E. , Weigum, N. , Tsyro, S. , Goto, D. and co-authors. 2016. Will a perfect model agree with perfect observations? The impact of spatial sampling. Atmos. Chem. Phys. 16 , 6335–6353.
- Schutgens, N. A. J. , Tsyro, S. , Gryspeerdt, E. , Goto, D. , Weigum, N. and co-authors. 2017. On the spatio-temporal representativeness of observations. Atmos. Chem. Phys. 17 , 9761–9780. doi:10.5194/acp-17-9761-2017
- Sessions, W. R. , Reid, J. S. , Benedetti, A. , Colarco, P. R. , da Silva, A. and co-authors. 2015. Development towards a global operational aerosol consensus: Basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME). Atmos. Chem. Phys. 15 , 335–362. doi:10.5194/acp-15-335-2015
- Shindell, D. T. , Lamarque, J.-F. , Schulz, M. , Flanner, M. , Jiao, C. and co-authors. 2013. Radiative forcing in the ACCMIP historical and future climate simulations. Atmos. Chem. Phys. 13 , 2939–2974. doi:10.5194/acp-13-2939-2013
- Singh, A. , Mahata, K. S. , Rupakheti, M. , Junkermann, W. , Panday, A. K. and co-authors. 2019. An overview of airborne measurement in Nepal – Part 1: Vertical profile of aerosol size, number, spectral absorption, and meteorology. Atmos. Chem. Phys. 19 , 245–258. doi:10.5194/acp-19-245-2019
- Textor, C. , Schulz, M. , Guibert, S. , Kinne, S. , Balkanski, Y. and co-authors. 2007. The effect of harmonized emissions on aerosol properties in global models – An AeroCom experiment. Atmos. Chem. Phys. 7 , 4489–4501. doi:10.5194/acp-7-4489-2007
- Tsigaridis, K. and Kanakidou, M. 2018. The present and future of secondary organic aerosol direct forcing on climate. Curr. Clim. Change Rep. 4 , 84–98. doi:10.1007/s40641-018-0092-3
- Twomey, S. 1977. The influence of pollution on the shortwave Albedo of clouds. J. Atmos. Sci. 34 , 1149–1152. doi:10.1175/1520-0469(1977)034<;1149:TIOPOT>2.0.CO;2
- van der Werf, G. R. , Randerson, J. T. , Giglio, L. , Collatz, G. J. , Mu, M. and co-authors. 2010. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009. Atmos. Chem. Phys. 10 , 11707–11735. doi:10.5194/acp-10-11707-2010
- van der Werf, G. R. , Randerson, J. T. , Giglio, L. , van Leeuwen, T. T. , Chen, Y. and co-authors. 2017. Global fire emissions estimates during 1997–2016. Earth Syst. Sci. Data 9 , 697–720. doi:10.5194/essd-9-697-2017
- van Marle, M. J. E. , Kloster, S. , Magi, B. I. , Marlon, J. R. , Daniau, A.-L. and co-authors. 2017. Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015). Geosci. Model Dev. 10 , 3329–3357. doi:10.5194/gmd-10-3329-2017
- Veselovskii, I. , Goloub, P. , Podvin, T. , Tanre, D. , da Silva, A. and co-authors. 2018. Characterization of smoke and dust episode over West Africa: Comparison of MERRA-2 modeling with multiwavelength Mie-Raman lidar observations. Atmos. Meas. Technol. 11 , 949–969. doi:10.5194/amt-11-949-2018
- Wang, Q. , Saturno, J. , Chi, X. , Walter, D. , Lavric, J. V. and co-authors. 2016a. Modeling investigation of light-absorbing aerosols in the Amazon Basin during the wet season. Atmos. Chem. Phys. 16 , 14775–14794. doi:10.5194/acp-16-14775-2016
- Wang, R. , Balkanski, Y. , Boucher, O. , Ciais, P. , Schuster, G. L. and co-authors. 2016b. Estimation of global black carbon direct radiative forcing and its uncertainty constrained by observations. J. Geophys. Res. Atmos. 121 , 5948–5971. doi:10.1002/2015JD024326
- Wilcox, E. M. 2010. Stratocumulus cloud thickening beneath layers of absorbing smoke aerosol. Atmos. Chem. Phys. 10 , 11769–11777. doi:10.5194/acp-10-11769-2010
- Wilcox, E. M. , Thomas, R. M. , Praveen, P. S. , Pistone, K. , Bender, F. A.-M. and co-authors. 2016. Black carbon solar absorption suppresses turbulence in the atmospheric boundary layer. Proc. Natl. Acad. Sci. U S A. 113 , 11794–11799. doi:10.1073/pnas.1525746113
- Williams, K. D. , Copsey, D. , Blockley, E. W. , Bodas-Salcedo, A. , Calvert, D. and co-authors. 2018. The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) configurations . J. Adv. Model. Earth Syst. 10 , 357–380. doi:10.1002/2017MS001115
- Wittbom, C. , Eriksson, A. C. , Rissler, J. , Carlsson, J. E. , Roldin, P. and co-authors. 2014. Cloud droplet activity changes of soot aerosol upon smog chamber ageing. Atmos. Chem. Phys. 14 , 9831–9854. doi:10.5194/acp-14-9831-2014
- Zender, C. S. , Bian, H. and Newman, D. 2003. Mineral Dust Entrainment and Deposition (DEAD) model: Description and 1990s dust climatology. J. Geophys. Res. 108 , 4416. doi:10.1029/2002JD002775.
- Zhang, K. , Wan, H. , Liu, X. , Ghan, S. J. , Kooperman, G. J. and co-authors. 2014. Technical note: On the use of nudging for aerosol–climate model intercomparison studies. Atmos. Chem. Phys. 14 , 8631–8645. doi:10.5194/acp-14-8631-2014
- Zhao, R. , Lee, A. K. Y. , Huang, L. , Li, X. , Yang, F. and co-authors. 2015. Photochemical processing of aqueous atmospheric brown carbon. Atmos. Chem. Phys. 15 , 6087–6100. doi:10.5194/acp-15-6087-2015
- Zhong, M. and Jang, M. 2014. Dynamic light absorption of biomass-burning organic carbon photochemically aged under natural sunlight. Atmos. Chem. Phys. 14 , 1517–1525.
DOI: https://doi.org/10.1080/16000889.2021.1909815 | Journal eISSN: 1600-0889
Language: English
Page range: 1909815 - 1909815
Published on: Jan 1, 2021
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2021 L. Frey, F. Höpner, Alf Kirkevåg, F. A.-M. Bender, published by Stockholm University Press
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