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Implementation of Comprehensive Cloud Microphysics in Global Climate Models : 전지구기후모형에 포괄적인 구름미세물리과정의 접합

DC Field Value Language
dc.contributor.advisor강인식-
dc.contributor.author안민섭-
dc.date.accessioned2017-07-14T00:38:54Z-
dc.date.available2017-07-14T00:38:54Z-
dc.date.issued2017-02-
dc.identifier.other000000141845-
dc.identifier.urihttps://hdl.handle.net/10371/121243-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 지구환경과학부, 2017. 2. 강인식.-
dc.description.abstractImplementation of comprehensive cloud microphysics in 50km resolution global climate models with appropriate vertical mixing is the main objective of this study. The comprehensive cloud microphysics was obtained from the Goddard Cumulus Ensemble (GCE) model which is a kind of Cloud Resolving Models (CRM). To implement the cloud microphysics to the global climate models, the resolution dependency of cloud microphysics was examined using CRM simulations with different resolutions, and it is improved by modifications of fractional saturation and terminal velocity.
Appropriate vertical mixing for 50km resolution global climate models was examined using General Circulation Model (GCM) simulations with different horizontal resolutions and a 3-dimensional CRM simulation. As the horizontal resolution of the GCM is increased, the resolved grid-scale vertical transport is increased. Accordingly, the sub-grid vertical transport parameterized by a convection scheme has to be decreased appropriately. Using the 3-dimensional CRM simulation with 1km horizontal resolution, the appropriate ratio of parameterized sub-grid scale vertical transport to total vertical transport is investigated as the horizontal resolution changes. The ratio obtained from the 3-dimensional CRM simulation is used as a guideline to decrease the parameterized sub-grid scale vertical transport in GCMs. The cumulus base mass flux is used as a control factor to decrease the parameterized sub-grid scale vertical transport.
The 50km global climate model with comprehensive cloud microphysics and appropriate vertical mixing was improved to simulate the vertical profiles of temperature and moisture, precipitation frequency as a function of precipitation strength, and Madden-Julian Oscillation (MJO). The MJO simulation diagnostics developed by MJO Working Group and the process-oriented MJO simulation diagnostics developed by MJO Task Force were applied to developed model in this study and the model intercomparison with CMIP5 models was conducted. The developed model relatively well simulates the MJO propagation, the convective-moisture coupling and the longwave radiation feedback processes.
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dc.description.tableofcontents1 Introduction 1
1.1 Backgrounds and motivation 1
1.2 Objectives and research strategies 3
2 Model description 6
2.1 SNUAGCM (Seoul National University AGCM) 6
2.2 SNUCGCM (Seoul National University coupled GCM) 7
2.3 GCE (Goddard Cumulus Ensemble) Model 8
3 Cloud microphysics of the GCE 11
3.1 Description of GCE cloud microphysics 11
3.2 Resolution dependency of cloud microphysics 17
3.3 Improvement of resolution dependency for cloud microphysics 22
4 Implementation of GCE cloud microphysics in 50km resolution GCM 30
4.1 50km GCM with modified cloud microphysics 30
4.2 Additional vertical mixing to 50km GCM with comprehensive cloud microphysics 36
4.3 Simulation results 38
5 Improvement of vertical mixing appropriated to 50km GCM with cloud microphysics 52
5.1 Conventional GCM simulations with different horizontal resolutions 55
5.2 3-dimensional CRM simulations 60
5.3 Conventional GCM with scale-adaptive deep convection scheme 64
5.4 MP-GCM with scale-adaptive deep convective mixing 78
6 MJO simulation intercomparison of developed MP-CGCM with CMIP5 models 84
6.1 MJO simulation in CMIP5 Climate Models 84
6.1.1 MJO simulation diagnostics and MJO skill metrics 87
6.1.2 Process‐oriented diagnosis 111
6.2 MJO simulation in developed MP-CGCM 125
7 Summary and Discussion 131
7.1 Summary 131
7.2 Discussion on important issues for 50km GCM with cloud microphysics 133
7.2.1 Model time step 133
7.2.2 Condensation RH criteria 138
7.2.3 Grid-mean Cloud microphysics 141
References 143
국문 초록 152
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dc.formatapplication/pdf-
dc.format.extent6000155 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectHigh-resolution Global Climate Modeling-
dc.subjectGlobal Climate Models-
dc.subjectCloud Resolving Models-
dc.subjectCloud Microphysics-
dc.subjectScale-Adaptive Parameterization-
dc.subjectMadden-Julian Oscillation (MJO)-
dc.subject.ddc550-
dc.titleImplementation of Comprehensive Cloud Microphysics in Global Climate Models-
dc.title.alternative전지구기후모형에 포괄적인 구름미세물리과정의 접합-
dc.typeThesis-
dc.contributor.AlternativeAuthorMin-Seop Ahn-
dc.description.degreeDoctor-
dc.citation.pages153-
dc.contributor.affiliation자연과학대학 지구환경과학부-
dc.date.awarded2017-02-
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