CAREER: Timely Estimation of Nitrogen Oxides Emissions for Improved Monitoring and Simulation of Atmospheric Chemical Processes

职业：及时估算氮氧化物排放，以改进大气化学过程的监测和模拟

• 批准号: 2338758
• 负责人: Kang Sun
• 金额: $ 64.36万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2029-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2338758&HistoricalAwards=false
• 关键词: CAREER; Timely; Estimation; Nitrogen; Oxides

This CAREER project has the goal of quantifying the emission sources of nitrogen oxides using new-generation satellite observations and applying an observation-based framework to other atmospheric species that are crucial for air quality and climate change. The framework developed through this project will harness a large volume of observational data from new-generation satellites and transform the data into advanced atmospheric chemistry knowledge that will help to monitor, simulate, and regulate air pollution and greenhouse gases.This project is focused on achieving a more efficient method for estimating pollutant emissions from satellite observations using the directional derivative approach (DDA). This research has following objectives: (1) Assess the accuracy and improve the theoretical understanding of the observation-based framework using well-defined atmospheric model simulations, (2) Validate and calibrate satellite-based nitrogen oxide (NOx) emissions by ground-truth observations, and (3) Streamline satellite-based NOx emissions for community applications and extend the emission estimation to species beyond NOx. An additional objective is to promote engagement in science and enhance awareness of air pollution and climate change through integrated education, outreach, and research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该职业项目的目标是使用新的生成卫星观测来量化氮氧化物的排放来源，并将基于观察的框架应用于其他大气物种，这对于空气质量和气候变化至关重要。通过该项目开发的框架将利用新的生物卫星中的大量观察数据，并将数据转化为先进的大气化学知识，这将有助于监视，模拟和调节空气污染和温室气体。该项目的重点是实现一种更有效的方法来估算使用方向衍生方法的卫星观察的污染物的污染物。 This research has following objectives: (1) Assess the accuracy and improve the theoretical understanding of the observation-based framework using well-defined atmospheric model simulations, (2) Validate and calibrate satellite-based nitrogen oxide (NOx) emissions by ground-truth observations, and (3) Streamline satellite-based NOx emissions for community applications and extend the emission estimation to species beyond NOx.另一个目标是通过综合教育，外展和研究来促进科学的参与，并提高对空气污染和气候变化的认识。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估审查标准来通过评估来获得支持的。