Development of an 'Offline' Version of Weather Research Forecast/Chemistry (WRF/Chem)

开发“离线”版本的天气预报/化学 (WRF/Chem)

• 批准号: 0527322
• 负责人: Georg Grell
• 金额: $ 1.98万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0527322&HistoricalAwards=false
• 关键词: Development; Offline; Version; Weather; Research

Air pollution poses a significant threat to human health, the environment, and the quality of life for people throughout the world. Many countries are taking actions to enhance their technical and operational capabilities to monitor and control air quality and implement preventive actions to reduce the risks of air pollution. Air quality modeling is a cost effective tool to assess the current and future pollution estimations. One such tool is the Weather Research and Forecast (WRF)/Chemistry model, which has been developed as a state-of-the-art online modeling system. In this type of modeling system, the chemistry is integrated simultaneously with the meteorology, allowing feedback at each model time step both from meteorology to chemistry and from chemistry to meteorology. Currently WRF/Chem is completely embedded within the WRF Common Infrastructure (WRFCI). Options include several chemical mechanisms, aerosol modules, dry deposition, several options for biogenic emissions, and several options for photolysis (http://www.wrf-model.org/WG11). However, many scientific questions related to air chemistry may not need an "online" formulation. Similar arguments are given by operational centers who do not want to slow down their meteorological forecasts with cost intensive chemistry. Therefore, in this project, scientists from the Center for Development of Advanced Computing (C-DAC) in India in collaboration with US scientists (the PI from CIRES/FSL and the Co-PI from NCAR) will develop an 'offline' atmospheric chemistry model from WRF/Chem. The US scientists are directly involved in the WRF/Chem development in the United States. The Indian scientists will create the software design for the 'offline' WRF/Chem model. This includes capabilities - within the WRFCI - to read and process meteorological output from any of the available WRF cores and run only the chemical part of WRF/Chem without repeating the meteorological integration. In addition, the WRF/Chem model will be used by Indian scientists for pollution forecasting as well as addressing scientific questions related to air quality issues in India. Broader Impacts: This project will should benefit both the United States and for India because of the provision of an excellent research and forecasting tool (the off-line model) to researchers and operational scientists and the likelihood of improved understanding and prediction of atmospheric air pollution.This research is jointly funded by the Office of International Science and Engineering and the Division of Atmospheric Sciences.

空气污染对人类健康、环境和全世界人民的生活质量构成重大威胁。许多国家正在采取行动，加强监测和控制空气质量的技术和业务能力，并采取预防行动，减少空气污染的风险。空气质量模型是评估当前和未来污染估计的成本效益工具。一个这样的工具是天气研究和预报（WRF）/化学模型，它已被开发为一个国家的最先进的在线建模系统。在这种类型的建模系统中，化学与气象学同时集成，允许在每个模型时间步从气象学到化学和从化学到气象学的反馈。目前，WRF/Chem完全嵌入WRF共同基础设施（WRFCI）。备选方案包括若干化学机制、气溶胶模块、干沉降、若干生物源排放备选方案和若干光解备选方案（http：//www.wrf-model.org/WG11）。然而，许多与空气化学有关的科学问题可能不需要"在线"公式。运营中心也提出了类似的论点，他们不想用成本密集的化学品来减缓他们的气象预报。因此，在这个项目中，来自印度高级计算发展中心（C-DAC）的科学家与美国科学家（CIRES/FSL的PI和NCAR的Co-PI）合作，将开发一个来自WRF/Chem的“离线”大气化学模型。美国科学家直接参与了美国的WRF/Chem开发。印度科学家将为“离线”WRF/Chem模型创建软件设计。这包括在WRFCI内读取和处理来自任何可用WRF核心的气象输出的能力，并且仅运行WRF/Chem的化学部分而不重复气象积分。此外，印度科学家将使用WRF/Chem模型进行污染预测，并解决与印度空气质量问题有关的科学问题。更广泛的影响：这一项目将使美国和印度都受益，因为它为研究人员和业务科学家提供了一个极好的研究和预报工具（离线模式），并有可能改进对大气空气污染的了解和预测，这项研究由国际科学和工程处和大气科学司共同资助。