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Direct and indirect effects of aerosol on climate simulation : 에어로솔의 직접 간접 효과가 기후 모의에 미치는 영향

DC Field Value Language
dc.contributor.advisor강인식-
dc.contributor.author이동민-
dc.date.accessioned2017-07-14T00:35:47Z-
dc.date.available2017-07-14T00:35:47Z-
dc.date.issued2014-02-
dc.identifier.other000000018294-
dc.identifier.urihttps://hdl.handle.net/10371/121206-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 지구환경과학부, 2014. 2. 강인식.-
dc.description.abstractThe aerosol direct and indirect effect studies are complemented with simulations using the GEOS-5 GCM recently upgraded with double moment cloud microphysics (i.e., the ability to predict both cloud water content and particle numbers), interactive GOCART aerosol model, advance radiative transfer package RRTMG with Monte Carlo Independent Column Approximation modes, and CFMIP Observation Simulator Package (COSP). Comparisons of GEOS-5 integrations using the schemes allow us to identify and separate consistent (and therefore more robust) responses of monsoonal circulations, clouds and precipitation to aerosol rather than dynamics, and meteorological seasonality. Especially biomass burning (BB) intensity is strongly correlated with large-scale circulation change, so GCM experimental designs that will isolate the aerosol effects are necessary. A baseline comparison is first performed between near decade-long GEOS-5 runs using the two different single (GEOS-5 Standard) and double moment (McRAS-AC) cloud microphysical schemes and prescribed observed SSTs for the period 2002-2011 which has extensive multi-satellite coverage. Two 10-year long simulations bring to light discernible improvements in the TOA zonal radiation budget when the latter scheme is implemented. These and other encouraging results from the simulation suggest that McRAS-AC exhibits significant skills and has the potential to be further improved with targeted enhancements. And we conducted a similar segregation between anomalously high and climatological emission days for GEOS-5 in order to determine, with the aid of the COSP satellite simulator package, which cloud scheme can better reproduce observed cloud response to enhanced BB aerosol emissions. Equipped with this knowledge, we could proceed to a new series of experiments for a more in-depth analysis of cloud and precipitation response to extreme BB emission scenarios Taking appropriate differences between AGCM experiment sets we find that BB aerosols affect liquid clouds in statistically significantly ways, increasing cloud droplet number concentrations, decreasing droplet effective radii (i.e., a classic aerosol indirect effect), and locally suppressing precipitation due to a decelerate of the autoconversion process, with the latter effect apparently also leading to cloud condensate increases. Geographical re-arrangements of precipitation patterns, with precipitation increases downwind of aerosol sources are also seen, most likely because of advection of weakly precipitating cloud fields. Somewhat unexpectedly, the change in cloud radiative effects (cloud forcing) is in the direction of less cooling because of decreases in cloud fraction. Overall, however, because of direct radiative effect contributions, aerosols exert a negative forcing at both the top of the atmosphere and, perhaps most importantly, the surface, where decreased evaporation triggers feedbacks that further reduce precipitation. Invoking the approximation that direct and indirect aerosol effects are additive, we estimate that the overall precipitation reduction is about 40% due to the direct effects of absorbing aerosols which stabilize the atmosphere and reduce surface latent heat fluxes via cooler land surface temperatures. Further refinements of our two-moment cloud microphysics scheme are needed for a more complete examination of the role of aerosol-convection interactions in the seasonal development of the SE Asia monsoon.-
dc.description.tableofcontentsAbstract 1
Contents 4
Figure legends 5
Table legends 9
1. Introductions 10
2. Aerosol – Climate modeling with GEOS-5 GCM 20
2. 1. Double moment microphysics: McRAS-AC 20
2. 2. Advanced radiative transfer scheme: RRTMG 27
2. 2. 1. Cloud overlap and variability representation 29
2. 3. GEOS-5 Standard AGCM 35
3. Simulation Experiments for global climate 36
3. 1. Precipitation Fields 38
3. 2. TOA radiative fluxes 41
3. 3. Cloud Particle Effective Radii with Satellite simulator 51
4. Biomass burning (BB) effects on climate simulation 55
4. 1. Biomass Burning in Southeast Asia 55
4. 2. Datasets for aerosol effect analysis 57
4. 3. Experimental design for BB effect study 58
4. 4. Correspondence between model simulation and analyzed satellite
data 63
4. 5. BB effects on cloud microphysics and precipitation simulation 67
4. 6. BB effects on radiation balance 73
4. 7. Temperature, moisture, and circulation change 75
4. 8. Quantitative breakdowns of direct and indirect effects 82
5. Summary and discussion 87
References 93
국문 초록 111
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dc.formatapplication/pdf-
dc.format.extent1712575 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectClimate model-
dc.subjectaerosol direct/indirect effects-
dc.subjectbiomass burning in Southeast Asia-
dc.subjectaerosol – radiation - cloud interaction-
dc.subjectdouble moment cloud microphysics parameterization-
dc.subject.ddc550-
dc.titleDirect and indirect effects of aerosol on climate simulation-
dc.title.alternative에어로솔의 직접 간접 효과가 기후 모의에 미치는 영향-
dc.typeThesis-
dc.contributor.AlternativeAuthorDongmin Lee-
dc.description.degreeDoctor-
dc.citation.pages112-
dc.contributor.affiliation자연과학대학 지구환경과학부-
dc.date.awarded2014-02-
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