Tropospheric Long-Range Transport Climate and Implications for Global Air Quality

对流层远距离传输气候及其对全球空气质量的影响

• 批准号: 0432514
• 负责人: Mark Holzer
• 金额: --
• 依托单位: Columbia 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: 2004-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0432514&HistoricalAwards=false
• 关键词: Tropospheric; Long; Range; Transport; Climate

This project addresses the long-range transport of pollutants in the atmosphere. Pollution events at any given locations depend on the transport of pollutants into the area and the local concentrations, reactions and sources. Here, the role of transport in determining pollutant concentrations will be isolated using several years of atmospheric reanalysis data. The partitioning of any given air parcel according to location of last surface contact and transit-time interval from that location, the so-called boundary propagator, will be the diagnostic quantity on which this is based. The transport climate will comprise the statistical properties of daily and multi-day averages as well as the variability about the seasonal means, and the probability of extremes. The PI will objectively evaluate the physical conditions and mechanisms conducive to long-range transport. It is envisaged that the boundary propagator will show key advantages over trajectory analyses that are currently used in the interpretation of observational data and chemical transport model simulations. Knowledge of the transport characteristics of pollutants will have strong benefits for abatement strategies and environmental policy making.

该项目涉及污染物在大气中的远距离迁移。 任何特定地点的污染事件取决于污染物进入该地区的运输以及当地的浓度、反应和来源。 在这里，运输在确定污染物浓度的作用将被隔离使用几年的大气再分析数据。 根据最后一次与地面接触的位置和与该位置的过境时间间隔对任何给定的气团进行划分，即所谓的边界传播因子，将是这一划分所依据的诊断量。 运输气候将包括每日和多日平均值的统计特性以及季节平均值的变化和极端事件的概率。 PI将客观地评估有利于远距离迁移的物理条件和机制。 据设想，边界传播因子将显示出优于目前用于解释观测数据和化学输运模型模拟的轨迹分析的关键优势。 了解污染物的迁移特性将对减排战略和环境政策的制定有很大的好处。