TY - JOUR
T1 - Aerosols at the poles
T2 - An AeroCom Phase II multi-model evaluation
AU - Sand, Maria
AU - Samse, Bjorn H.
AU - Balkanski, Yves
AU - Bauer, Susanne
AU - Bellouin, Nicolas
AU - Berntsen, Terje K.
AU - Bian, Huisheng
AU - Chin, Mian
AU - DIehl, Thomas
AU - Easter, Richard
AU - Ghan, Steven J.
AU - Iversen, Trond
AU - Kirkeväg, Alf
AU - Lamarque, Jean François
AU - Lin, Guangxing
AU - Liu, Xiaohong
AU - Luo, Gan
AU - Myhre, Gunnar
AU - Van Noije, Twan
AU - Penner, Joyce E.
AU - Schulz, Michael
AU - Seland, Oyvind
AU - Skeie, Ragnhild B.
AU - Stier, Philip
AU - Takemura, Toshihiko
AU - Tsigaridis, Kostas
AU - Yu, Fangqun
AU - Zhang, Kai
AU - Zhang, Hua
N1 - Funding Information:
Acknowledgements. Maria Sand has received funding from The Research Council of Norway (RCN) through a FRIPRO Mobility Grant, BlackArc, contract no 240921. The FRIPRO Mobility grant scheme (FRICON) is co-funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration under Marie Curie grant agreement no 608695. Maria Sand and Bjørn H. Samset were funded through the Polish-Norwegian Research Programme project iAREA, and RCN projects AEROCOM-P3 and AC/BC (240372). Richard C. Easter and Steven J. Ghan were supported by the US Department of Energy Office of Science Decadal and Regional Climate Prediction using Earth System Models (EaSM) programme. The Pacific Northwest National Laboratory is operated for the DOE by Battelle Memorial Institute under contract DE-AC06-76RLO 1830. Guangxing Lin and Joyce E. Penner were supported by the National Science Foundation (projects AGS-0946739 and ARC-1023387) and the Department of Energy (DOE FG02 01 ER63248 and DOE DE-SC0008486. Toshihiko Takemura is supported by the NEC SX-ACE supercomputer system of the National Institute for Environmental Studies, Japan, the Environmental Research and Technology Development Fund (S-12-3) of the Ministry of Environment, Japan and JSPS KAKENHI Grant Numbers JP15H01728 and JP15K12190. Trond Iversen, Alf Kirkevåg and Øyvind Seland were supported by the Norwegian Research Council through the projects EVA (grant 229771), EarthClim (207711/E10), NOTUR (nn2345k), and NorStore (ns2345k), and through the EU projects PEGASOS and ACCESS and Nordforsk-CRAICC. Philip Stier acknowledges funding from the European Research Council (ERC) under the European Union’s Seventh Framework Programme (FP7/2007–2013) ERC project ACCLAIM (Grant Agreement FP7-280025) and from the UK Natural Environment Research Council project GASSP (grant number NE/J022624/1). The CESM project is supported by the National Science Foundation and the Office of Science (BER) of the US Department of Energy. NCAR is sponsored by the National Science Foundation. CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. Guangxing Lin and Fangqun Yu were supported by the National Aeronautics and Space Administration (NASA NNX17AG35G) and the National Science Foundation (NSF AGS-1550816). We thank the PI investigators and their staff for establishing and maintaining the AERONET sites used in this study.
Publisher Copyright:
© 2017 Author(s).
PY - 2017/10/13
Y1 - 2017/10/13
N2 - Atmospheric aerosols from anthropogenic and natural sources reach the polar regions through long-range transport and affect the local radiation balance. Such transport is, however, poorly constrained in present-day global climate models, and few multi-model evaluations of polar anthropogenic aerosol radiative forcing exist. Here we compare the aerosol optical depth (AOD) at 550 nm from simulations with 16 global aerosol models from the AeroCom Phase II model intercomparison project with available observations at both poles. We show that the annual mean multi-model median is representative of the observations in Arctic, but that the intermodel spread is large. We also document the geographical distribution and seasonal cycle of the AOD for the individual aerosol species: Black carbon (BC) from fossil fuel and biomass burning, sulfate, organic aerosols (OAs), dust, and sea-salt. For a subset of models that represent nitrate and secondary organic aerosols (SOAs), we document the role of these aerosols at high latitudes. The seasonal dependence of natural and anthropogenic aerosols differs with natural aerosols peaking in winter (seasalt) and spring (dust), whereas AOD from anthropogenic aerosols peaks in late spring and summer. The models produce a median annual mean AOD of 0.07 in the Arctic (defined here as north of 60°N). The models also predict a noteworthy aerosol transport to the Antarctic (south of 70°S) with a resulting AOD varying between 0.01 and 0.02. The models have estimated the shortwave anthropogenic radiative forcing contributions to the direct aerosol effect (DAE) associated with BC and OA from fossil fuel and biofuel (FF), sulfate, SOAs, nitrate, and biomass burning from BC and OA emissions combined. The Arctic modelled annual mean DAE is slightly negative (..0.12Wm..2), dominated by a positive BC FF DAE in spring and a negative sulfate DAE in summer. The Antarctic DAE is governed by BC FF. We perform sensitivity experiments with one of the AeroCom models (GISS modelE) to investigate how regional emissions of BC and sulfate and the lifetime of BC influence the Arctic and Antarctic AOD. A doubling of emissions in eastern Asia results in a 33% increase in Arctic AOD of BC. A doubling of the BC lifetime results in a 39% increase in Arctic AOD of BC. However, these radical changes still fall within the AeroCom model range.
AB - Atmospheric aerosols from anthropogenic and natural sources reach the polar regions through long-range transport and affect the local radiation balance. Such transport is, however, poorly constrained in present-day global climate models, and few multi-model evaluations of polar anthropogenic aerosol radiative forcing exist. Here we compare the aerosol optical depth (AOD) at 550 nm from simulations with 16 global aerosol models from the AeroCom Phase II model intercomparison project with available observations at both poles. We show that the annual mean multi-model median is representative of the observations in Arctic, but that the intermodel spread is large. We also document the geographical distribution and seasonal cycle of the AOD for the individual aerosol species: Black carbon (BC) from fossil fuel and biomass burning, sulfate, organic aerosols (OAs), dust, and sea-salt. For a subset of models that represent nitrate and secondary organic aerosols (SOAs), we document the role of these aerosols at high latitudes. The seasonal dependence of natural and anthropogenic aerosols differs with natural aerosols peaking in winter (seasalt) and spring (dust), whereas AOD from anthropogenic aerosols peaks in late spring and summer. The models produce a median annual mean AOD of 0.07 in the Arctic (defined here as north of 60°N). The models also predict a noteworthy aerosol transport to the Antarctic (south of 70°S) with a resulting AOD varying between 0.01 and 0.02. The models have estimated the shortwave anthropogenic radiative forcing contributions to the direct aerosol effect (DAE) associated with BC and OA from fossil fuel and biofuel (FF), sulfate, SOAs, nitrate, and biomass burning from BC and OA emissions combined. The Arctic modelled annual mean DAE is slightly negative (..0.12Wm..2), dominated by a positive BC FF DAE in spring and a negative sulfate DAE in summer. The Antarctic DAE is governed by BC FF. We perform sensitivity experiments with one of the AeroCom models (GISS modelE) to investigate how regional emissions of BC and sulfate and the lifetime of BC influence the Arctic and Antarctic AOD. A doubling of emissions in eastern Asia results in a 33% increase in Arctic AOD of BC. A doubling of the BC lifetime results in a 39% increase in Arctic AOD of BC. However, these radical changes still fall within the AeroCom model range.
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U2 - 10.5194/acp-17-12197-2017
DO - 10.5194/acp-17-12197-2017
M3 - Article
AN - SCOPUS:85013652514
SN - 1680-7316
VL - 17
SP - 12197
EP - 12218
JO - Atmospheric Chemistry and Physics
JF - Atmospheric Chemistry and Physics
IS - 19
ER -