CAREER: Forecasting Chemical Weather with a Coupled Meteorology-Chemistry Model System: Research and Education Challenges

职业：利用气象-化学耦合模型系统预测化学天气：研究和教育挑战

• 批准号: 0348819
• 负责人: Yang Zhang
• 金额: $ 57.81万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-03-01 至 2011-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0348819&HistoricalAwards=false
• 关键词: CAREER; Forecasting; Chemical; Weather; Coupled

This project will enhance and further develop an existing community air quality model to produce a truly integrated weather-chemistry model capable of better forecasting the abundance and transport of particulate matter (PM) in the atmosphere. The P.I. will initially further develop the Model of Aerosol Dynamics, Reaction, Ionization and Dissolution (MADRID) to improve how aerosols are treated in a real atmosphere. These improvements will be combined with an existing cloud chemistry model and both incorporated into NOAA's Weather Research and Forecast (WRF) Air Quality prediction system version 1 (WRFAQV1) model, followed by a series of evaluations of model performance with a view to producing an operational version for ozone and PM forecasts. Forecasting air quality (or "Chemical Weather") is an emerging area of research interest crossing disciplinary boundaries within the atmospheric science community, and this research has far reaching implications for human exposure, health and regulatory policy. The broader science impacts of this study lie in making substantive and necessary contributions to improving tools required for more reliable predictions of air quality in the future. The P.I. will integrate this research into a number of education and outreach activities. The project will contribute substantively to the professional development of an early career female faculty at a major State research and teaching university, support research training and higher education of two graduate students and provide a number of summer undergraduate internships in collaboration with two industry partners. The education plan also includes opportunities for course development, student participation in research, and public outreach.

该项目将加强和进一步发展现有的社区空气质量模型，以产生一个真正综合的天气化学模型，能够更好地预测大气中颗粒物（PM）的丰度和运输。 私家侦探将首先进一步发展气溶胶动力学、反应、电离和溶解模型（马德里），以改进如何在真实的大气中处理气溶胶。 这些改进将与现有的云化学模型相结合，并将其纳入NOAA的天气研究和预报（WRF）空气质量预测系统第1版（WRFAQV1）模型，然后对模型性能进行一系列评估，以期产生臭氧和PM预测的业务版本。 预测空气质量（或“化学天气”）是一个新兴的研究领域，跨越大气科学界的学科界限，这项研究对人类暴露，健康和监管政策具有深远的影响。 这项研究的更广泛的科学影响在于为改进未来更可靠的空气质量预测所需的工具做出实质性和必要的贡献。 私家侦探将把这项研究纳入一些教育和推广活动。 该项目将为一所主要的国立研究和教学大学的一名早期职业女性教师的专业发展做出实质性贡献，支持两名研究生的研究培训和高等教育，并与两个行业伙伴合作提供一些暑期本科生实习机会。 教育计划还包括课程开发，学生参与研究和公共宣传的机会。