SLCF and the Arctic. Terje Berntsen UiO/CICERO. Geneva 13. September 2010
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1 SLCF and the Arctic Science update and preliminary results from recent modeling assessing black carbon effects on the Arctic from different regions and different sources Terje Berntsen UiO/CICERO Geneva 13. September 2010
2 Activities under the AMAP expert group Focus on Black Carbon aerosols Modelling experiments to quantify impacts in terms of radiative forcing from emissions in different regions and sectors Batch A: 25 combinations of regions and sectors have been identified Status: Two models have performed the simulations CESM (NCAR Earth system model) at Univ. of Michigan (Mark Flanner) Oslo CTM2 at University of Oslo/CICERO (Karianne Ødemark and Terje Berntsen) Preliminary analysis of direct radiative forcing have been performed Analysis of radiative forcing due to deposition on snow and ice is not yet available A third model GISS model (Koch/Unger) will do the simulations
3 Batch A Regions/ US Canada Russia Scandinavia ROW Sectors Domestic M Transport M Agriculture M Industry/ M power/waste Grass+forest M
4 Model: NCAR Community Earth System Model 1.0, resolution: 1.9 x 2.5 degrees Configuration: Active atmosphere, land, sea-ice, and slab ocean model (active ocean/ice needed for sea-ice aerosol forcing). Initial conditions: Y2000 climate. Aerosols: Bulk aerosol model (Rasch et al, 2001), no indirect cloud forcing in these runs Sea-ice aerosol effect: Briegleb and Light (2007) Snow aerosol effect: SNICAR (Flanner et al, 2007, 2009) Model length: 14 month run (2 month spinup + one full year) for emissions from each region and sector Emissions: Lamarque et al, ACP,2010 Instantaneous direct radiative forcing calculated within atmospheric, snow, and sea-ice components
5 Models/setup UiO/CICERO Oslo CTM2, offline global chemistry transport model, Resolution: T42 (2.8 x2.8 ), 40 vertical layers be low 10 hpa Aerosols: Bulk scheme with modified aging times based on more detailed microphysical models (M7, Vignati et al., JGR) Radiative forcing: Derived from burden changes calculated by the Oslo CTM2 and normalized RF fields nrf(bc_column, lat, long, month) Emissions: Lamarque et al, 2010 BC in snow (land and sea ice). Simple snow-column budget module
6 Emissions of BC (Gg/yr) from sectors and regions Emission Transport (Gg/yr) Emission energy+industrial+waste (Gg/yr) US Canada Russia Scandinavia US Canada Russia Scandinavia Emission domestic (Gg/yr) Emission Grass+forest (Gg/yr) US Canada Russia Scandinavia US Canada Russia Scandinavia
7 Ranking of sources (regions and sectors) contribution to RF N Univ. of Michigan C: Canada S: Scandinavia R: Russia W: ROW US: United States RF (direct) N (mwm-2) Total RF N: 79 mwm -2 domestic (W) grass+forest (R) energy+industrial+waste (W) transport (W) grass+forest (W) grass+forest (C) domestic (R) transport (US) grass+forest (US) energy+industrial+waste (R) transport (S) transport (R) agricultural (W) energy+industrial+waste (US) energy+industrial+waste (S) domestic (US) domestic (S) energy+industrial+waste (C) transport (C) agricultural (R) domestic (C) agricultural (US) grass+forest (S) agricultural (C) agricultural (S) Radiative Forcing (mwm-2)
8 agricultural (S) agricultural (C) agricultural (S) RF (direct) N (mwm-2) energy+industrial+waste (S) domestic (US) domestic (S) energy+industrial+waste (C) transport (C) agricultural (R) domestic (C) agricultural (US) RF (direct) 60-90N mwm-2 transport (R) energy+industrial+waste (US) energy+industrial+waste (S) transport (C) energy+industrial+waste (C) domestic (S) agricultural (R) domestic (C) agricultural (US) agricultural (C) grass+forest (S) domestic (US) transport (S) energy+industrial+waste (R) transport (US) transport (S) transport (R) energy+industrial+waste (R) energy+industrial+waste (US) domestic (R) domestic (R) transport (US) CESM (UM) Oslo CTM2 Radiative Forcing (mwm-2)
9 grass+forest (S) grass+forest (C) grass+forest (R) domestic (S) energy+industrial+waste (S) transport (S) grass+forest (US) agricultural (S) grass+forest (S) domestic (S) transport (S) energy+industrial+waste (S) domestic (R) energy+industrial+waste (R) transport (R) agricultural (C) agricultural (R) energy+industrial+waste (C) domestic (C) transport (C) agricultural (US) transport (W) energy+industrial+waste (US) domestic (W) energy+industrial+waste (W) domestic (US) transport (US) agricultural (W) grass+forest (W) grass+forest (C) agricultural (S) grass+forest (R) grass+forest (US) Norm. RF (direct) N (mwm-2/tg/yr) domestic (R) transport (R) energy+industrial+waste (R) agricultural (R) agricultural (C) energy+industrial+waste (C) domestic (C) transport (C) agricultural (US) energy+industrial+waste (US) transport (US) domestic (US) Norm. RF (direct) N (mwm -2 /Tg/yr)
10 grass+forest (S) energy+industrial+waste (S) agricultural (US) domestic (C) transport (S) energy+industrial+waste (W) energy+industrial+waste (C) transport (R) agricultural (W) domestic (S) agricultural (S) grass+forest (R) energy+industrial+waste (R) domestic (US) domestic (W) domestic (R) transport (US) agricultural (C) grass+forest (W) energy+industrial+waste (US) grass+forest (C) transport (W) grass+forest (US) transport (C) agricultural (R) RF (ice) N (mwm-2)
11 Why do the models differ? Emissions (equal) Burden change Burden change Radiative Forcing Radiative Forcing Burden Change: - Atmospheric transport and mixing - Aging (Conversion from hydrophobic to hydrophilic form) - Deposition Radiative forcing - Optical properties - Location of BC relative to clouds - Surface albedo
12 Source region potential Shindell et al., ACP, 2008
13 RF per unit burden change N Norm. RF (direct) N (Wm-2/g/m2) grass+forest (S) agricultural (S) transport (S) energy+industrial+waste (S) domestic (S) grass+forest (R) agricultural (R) transport (R) energy+industrial+waste (R) domestic (R) grass+forest (C) agricultural (C) Norm. RF (direct) N (Wm -2 /gm -2 ) grass+forest (S) agricultural (S) transport (S) energy+industrial+waste (S) domestic (S) agricultural (R) transport (R) energy+industrial+waste (R) domestic (R) agricultural (C) transport (C) energy+industrial+waste (C) domestic (C) agricultural (US) transport (US) energy+industrial+waste (US) domestic (US) transport (C) energy+industrial+waste (C) domestic (C) grass+forest (US) agricultural (US) transport (US) energy+industrial+waste (US) domestic (US) C: Canada S: Scandinavia R: Russia W: ROW US: United States
14 Change in BC burden 60-90N grass+forest (R) grass+forest (R) domestic (R) domestic (R) grass+forest (W) grass+forest (C) energy+industrial+waste (R) transport (S) transport (R) grass+forest (US) energy+industrial+waste (S) transport (US) agricultural (W) transport (US) grass+forest (C) energy+industrial+waste (R) transport (R) energy+industrial+waste (US) transport (S) domestic (US) grass+forest (US) domestic (S) energy+industrial+waste (S) energy+industrial+waste (US) domestic (US) agricultural (R) energy+industrial+waste (C) transport (C) grass+forest (S) domestic (C) agricultural (US) agricultural (S) agricultural (C) BC Burden 60-90N (mg/m2) domestic (S) transport (C) energy+industrial+waste (C) agricultural (R) domestic (C) agricultural (US) agricultural (C) grass+forest (S) agricultural (S) BC Burden 60-90N mg/m2
15 Does it matter where the forcing is located? Response Region: Arctic Shindell & Faluvegi, Nature Geoscience, 2009.
16 Bond et al., in prep.
17 Preliminary conclusions Most of Batch A simulations have been carried out by two models some diagnostics pending (most important RF due to BC on snow). Contribution to direct RF north of 60 N have been analy sed Ranking of sources largely robust between the models, abolute levels appr. a factor of 2 different. Emissions from Rest of the World and wildfires are most important for radiative forcing north of 60 N Apart from that, Domestic (Russia) and Transport (US) are the most important sources In terms of RF per unit of emissions, Scandinavian sources are most effective Potentially important forcing mechanism and regional climate feedbacks are NOT included in this analysis
18 Important factors towards identification of regions and sectors for cost-effective mitigation of Black Carbon aerosols Absolute level of impact (here Radiative Forcing) Impact normalized to emission (e.g. Wm -2 /Tg(yr) -1 ) Other factors not discussed here: Changes in co-emitted species Mitigation costs Feasibility (Technologically and politically)
19 Ranking of sources (ROW and grass+forest removed) contribution to RF N. Univ. of Oslo RF (direct) 60-90N mwm-2 domestic (R) transport (US) energy+industrial+waste (R) energy+industrial+waste (US) transport (R) transport (S) domestic (US) energy+industrial+waste (S) transport (C) energy+industrial+waste (C) domestic (S) agricultural (R) domestic (C) agricultural (US) agricultural (C) grass+forest (S) agricultural (S)
20 Other activities on understanding BC impacts on the climate Bounding BC initiative (Bond, Fahey, Forster ++) - Focus on quantifications (with uncertainties) of the effects of all possible processes where BC interacts with climate. Draft due soon. BC activity under EMEP/CLRTAP - Focus country specific contribution to direct radiative forcing by BC aerosols - Dedicated model simulations with the EMEP model at met.no (M. Gauss ++) with input on forcing efficiencies from CICERO (G. Myhre) input to the GAINS model at IIASA UNEP assessment of BC
21
22 Historical Global BC Emissions (Tg/yr)
23 Emissions in Rest of the World Emission ROW (Gg/yr) transport grass+forest energy+industrial+waste domestic agricultural 0
24 Climate impacts of soot aerosols in the Norwegian Earth System Model (NorESM) Alf Kirkevåg, Trond Iversen, Jens Boldingh Debernard, Øyvind Seland, Mats Bentsen, Corinna Hoose, Jón Egill Kristjánsson, Mark Flanner, Steve Ghan, Phil Rasch Acknowledgement: National Center for Atmospheric Research, NCAR Pacific Northwest National Laboratory, PNNL IPY-Oslo Science conference, Lillestrøm, June 10 th 2010
25 Light-absorption by soot and mineral dust on snow and sea-ice is included in NorESM In the land model (CLM4 from NCAR): The SNow, ICe, and Aerosol Radiative (SNICAR) model (Flanner et al., 2007; 2009) grain-size dep. snow aging aerosol deposition (BC, DU) meltwater scavenging of aerosol look-up tables for optical parameters multilayer radiative transfer in the snow In the sea-ice model (CICE4 from NCAR): (Holland et al., 2010, draft in preparation) aerosol deposition (BC, DU) BC and DU impact on snow albedo through CICE s own radiation transfer module
26 Simulations - all fully coupled: 1. CTRL 68 years: Year 2000 aerosol emissions and GHG concentrations 2. nobcdep 68 years: As CTRL, but no effects of BC deposition on snow and sea-ice albedo 3. nobc 68 years: As CTRL, but BC aerosols excluded (entirely) Global near 2m temperature (K) CTRL nobcdep nobc (JRA25 reanalysis ) years used in analysis
27 Temp. Response of all BC: CTRL nobc albedo Snow cover 0.17 Sea-ice cover
28 Response: NH winter mid-tropospheric flow (500hPa) NorESM: CTRL nobc: Response to all BC Reference: flow-regimes from re-analysed data (Corti et al, 1999; Nature) ClusterB PNA-; NAO+ (NCEP Re-analysis)
29 Emissions in all EU-27 countries Emissions in all EMEP countries
30 energy+industrial+waste (S) agricultural (US) domestic (C) transport (S) energy+industrial+waste (C) transport (R) domestic (S) agricultural (S) energy+industrial+waste (R) domestic (US) domestic (R) transport (US) agricultural (C) RF (ice) N (mwm-2) energy+industrial+waste (US) transport (C) agricultural (R)
31 domestic (S) energy+industrial+waste (S) transport (S) agricultural (S) domestic (R) energy+industrial+waste (R) transport (R) agricultural (C) agricultural (R) energy+industrial+waste (C) domestic (C) transport (C) agricultural (US) energy+industrial+waste (US) domestic (US) Norm. RF (direct) N (mwm-2/tg/yr) transport (US)
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