| 项目编号: | 1636730
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| 项目名称: | Improving Nitrogen Predictions by Updating Tropospheric Kinetics (INPUT-K) |
| 作者: | Myoseon Jang
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| 承担单位: | University of Florida
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| 批准年: | 2016
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| 开始日期: | 2016-06-15
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| 结束日期: | 2018-05-31
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| 资助金额: | 163219
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| 资助来源: | US-NSF
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| 项目类别: | Standard 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: | atmospheric nitrogen chemistry
; likelihood calculation
; reactive nitrogen
; reactive nitrogen chemistry
; model prediction
; successful inference modeling framework
; nitrogen imbalance
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| 英文摘要: | The objective of this research is to provide alternative estimates of reaction rate coefficients using statistical methods to improve model predictions of atmospheric nitrogen chemistry. This is a demonstration project that will make direct use of field observations to guide further investment in laboratory experiments and reveal mechanisms that can lead to modeling biases. The independent estimates of reaction rates provided by this project will provide an important constraint on estimating the health and climate impacts of reactive nitrogen chemistry.
This project aims to improve model simulations of reactive nitrogen by achieving the following objectives: (1) Apply a previously successful inference modeling framework to a more recent observational campaign (such as the NSF-supported DC3 campaign) where nitrogen imbalances in 3-D models have been shown; (2) Constrain rate coefficients and product stoichiometry in climate relevant environments using likelihood calculations based on reduced model ensembles and observational datasets; and (3) Replace stochastic physical transport with mechanistic transport using an ensemble of simulated air parcel trajectories that are representative of post-convection transport. Together, stochastic modeling, mechanistic chemistry, and high quality observations will be used to supplement laboratory studies and identify reactions for subsequent laboratory investigation. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/92073
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Myoseon Jang. Improving Nitrogen Predictions by Updating Tropospheric Kinetics (INPUT-K). 2016-01-01.
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