Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.2172/1163479 |
报告编号 | DOE-UCI--0007021 |
来源ID | OSTI ID: 1163479 |
Interactive Photochemistry in Earth System Models to Assess Uncertainty in Ozone and Greenhouse Gases. Final report | |
Prather, Michael J.; Hsu, Juno; Nicolau, Alex; Veidenbaum, Alex | |
2014-11-07 | |
出版年 | 2014 |
页数 | 4 |
语种 | 英语 |
国家 | 美国 |
领域 | 地球科学 |
英文摘要 | Atmospheric chemistry controls the abundances and hence climate forcing of important greenhouse gases including N2O, CH4, HFCs, CFCs, and O3. Attributing climate change to human activities requires, at a minimum, accurate models of the chemistry and circulation of the atmosphere that relate emissions to abundances. This DOE-funded research provided realistic, yet computationally optimized and affordable, photochemical modules to the Community Earth System Model (CESM) that augment the CESM capability to explore the uncertainty in future stratospheric-tropospheric ozone, stratospheric circulation, and thus the lifetimes of chemically controlled greenhouse gases from climate simulations. To this end, we have successfully implemented Fast-J (radiation algorithm determining key chemical photolysis rates) and Linoz v3.0 (linearized photochemistry for interactive O3, N2O, NOy and CH4) packages in LLNL-CESM and for the first time demonstrated how change in O2 photolysis rate within its uncertainty range can significantly impact on the stratospheric climate and ozone abundances. From the UCI side, this proposal also helped LLNL develop a CAM-Superfast Chemistry model that was implemented for the IPCC AR5 and contributed chemical-climate simulations to CMIP5. |
英文关键词 | atmospheric radiation-chemistry-dynamics interaction stratospheric ozone linearized ozone scheme tropopause Fast-J GPUs uncertainty quantification |
URL | 查看原文 |
来源平台 | US Department of Energy (DOE) |
引用统计 | |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/6592 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Prather, Michael J.,Hsu, Juno,Nicolau, Alex,et al. Interactive Photochemistry in Earth System Models to Assess Uncertainty in Ozone and Greenhouse Gases. Final report,2014. |
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