项目编号: | 1402931
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项目名称: | Collaborative Research: Timescales for Large-Scale Tropospheric Transport - Inversions of Trace-Gas Measurements and Connections with Dynamics |
作者: | Lorenzo Polvani
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承担单位: | Columbia University
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批准年: | 2013
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开始日期: | 2014-07-01
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结束日期: | 2018-06-30
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资助金额: | USD312712
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资助来源: | US-NSF
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项目类别: | Continuing grant
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国家: | US
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语种: | 英语
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特色学科分类: | Geosciences - Atmospheric and Geospace Sciences
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英文关键词: | transport
; research
; tropospheric transport
; atmospheric dynamics
; surfaceand aircraft trace gas measurement
; transport change
; collaborative project
; trace gas measurement
; research training
; tropospheric transport timescale
; chemical transport model simulation
; maximum entropy inversion
; large emission
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英文摘要: | The distribution of ozone, water vapor, carbon dioxide and aerosols in the lower atmosphere are strongly influenced by transport. Quantifying this transport is central to understanding and predicting air quality, climate change, and stratospheric ozone depletion. This collaborative project will use a combination of trace gas measurements and model simulations. The effort will also promote training and learning of graduate students a a postdoctoral fellow. Material from this research. Materials from the research will be included in a core course for the Johns Hopkins University (JHU) Integration of Graduate Education and Research Training (IGERT) program on Water, Climate and Health, as well as teacher training courses at JHU and Columbia University. The results of the research will be widely disseminated at international science meetings, publishing in peer-reviewed journals, and posts of non-technical reports on websites.
A particularly important quantity is the transit-time distribution (TTD) for transport from Northern Hemisphere populated regions, where there are large emissions of pollutants and their precursors. Maximum entropy inversions will used together with surface and aircraft trace gas measurements to constrain the TTDs. These data-constrained TTDs will be combined with chemical transport model simulations and meteorological analyses to examine seasonal and interannual variations, and connections with atmospheric dynamics. Chemistry climate model integrations will be used to explore how the transport changes with climate.
Specifically, this project will provide the following: (1) data-constrained estimates of the TTDs since air was last in contact with Northern Hemisphere continental regions, including seasonal and interannual variations; (2) knowledge of the key dynamical controls on tropospheric transport timescales; and (3) an understanding of how tropospheric transport may change in response to climate. In combination these will allow a fundamental disentangling of the roles of chemistry and transport in shaping the composition of the troposphere, with important implications for understanding of air quality, climate change, and stratospheric ozone. |
资源类型: | 项目
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标识符: | http://119.78.100.158/handle/2HF3EXSE/96461
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Appears in Collections: | 影响、适应和脆弱性 气候减缓与适应
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Recommended Citation: |
Lorenzo Polvani. Collaborative Research: Timescales for Large-Scale Tropospheric Transport - Inversions of Trace-Gas Measurements and Connections with Dynamics. 2013-01-01.
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