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Advances in 3-Dimensional Atmospheric Radiation: I3RC Toolbox, Interactive Aerosol Retrievel, and Cloud Inhomogeneity Parameterization
项目编号DE-AI02-00ER62939
Cahalan, Robert
项目主持机构NASA - Goddard Space Flight Center
开始日期2003-04-15
结束日期2006-04-14
英文摘要The study will provide an integrated assessment of the effects of global change, including changes in both climate and anthropogenic emissions, on ozone and particulate matter (PM) air quality in the United States from 2000 to 2050. It will represent the first-ever attempt to examine the response of air pollution meteorology to climate change. At present, the sign and magnitude of this response are essentially unknown. The study will identify and quantify the contributing impacts from (1) changes in atmospheric transport (e.g., mixing depths, frequency of stagnation episodes, regional ventilation, intercontinental transport), (2) climate-sensitive natural emissions of ozone and PM precursors, and (3) climate-sensitive ozone and PM chemistry. It will lay the foundation for investigation of the effects of climate change on exceedances of air quality standards through nesting of the CMAQ regional model into a unified aerosol-chemistry-climate general circulation model (GCM).We will apply a unified aerosol-chemistry-climate GCM (the CACTUS model, based on the GISS GCM) to the simulation of 2000-2050 projected trends in long-lived greenhouse gases and anthropogenic emissions of ozone and PM precursors. The trends will be taken from current Intergovernmental Panel on Climate Change (IPCC) scenarios. The CACTUS model has been developed with NASA funding for studies of the interactions of global tropospheric chemistry and aerosols with climate. A coarse version is presently used, with EPA/ICAP support, to investigate perturbations to air pollution meteorology under 2000-2100 climate change scenarios. Our first step in this project will be to evaluate the ability of the CACTUS model to simulate ozone and PM air quality in the United States for present-day climatology. This analysis will include an empirical orthogonal function (EOF) decomposition of the principal modes of variability of ozone and PM in the United States, both in the observations and in the model, to facilitate future diagnosis of climate change impacts. Separate simulations with the CACTUS model will be used to investigate the effects of 2000-2050 changes in air pollution meteorology, ozone and PM chemistry, and natural and anthropogenic emissions of ozone and PM precursors. Particular care will be taken to separate the effect of climate change from that of interannual variability of weather, which in turn may be affected by climate change. We will nest the CMAQ regional model within the CACTUS model for more accurate predictions of the effects of global change on U.S. air quality, and determine the most efficient strategy for application of CMAQ to simulation of U.S. air pollution under a changing climate.The project will provide a first-ever assessment of the effect of future climate change on ozone and PM air quality in the United States. Current interannual variability observed in air quality warns us that this effect could be large. We will develop a fundamental understanding of the processes involved and their relative importance through an integrated analysis of climate change and of the correlated changes in ozone and PM precursor emissions. The results will lay the foundation for quantifying the effects of future global change in both climate and anthropogenic emissions for long-term planning of air pollution control needs in the United States.
英文关键词chemical transport;volatile organic compounds (VOCs);nitrogen oxides;sulfates;organics;pollution prevention;environmental chemistry;modeling;climate models;tropospheric ozone;tropospheric aerosol.
学科分类09 - 环境科学;06 - 生物科学
资助机构US-DOE
项目经费866435
项目类型Interagency Agreement
国家US
语种英语
文献类型项目
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/76984
推荐引用方式
GB/T 7714
Cahalan, Robert.Advances in 3-Dimensional Atmospheric Radiation: I3RC Toolbox, Interactive Aerosol Retrievel, and Cloud Inhomogeneity Parameterization.2003.
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