Collaborative Research: Trace Gas Deposition Processes in the Arctic Boundary Layer

合作研究：北极边界层的痕量气体沉积过程

• 批准号: 0137538
• 负责人: Detlev Helmig
• 金额: $ 11.78万
• 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: 2002
• 资助国家: 美国
• 起止时间: 2002-02-01 至 2005-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0137538&HistoricalAwards=false
• 关键词: Collaborative; Research; Trace; Gas; Deposition

This research is concerned with data analyses and modeling activities to gain further insights on the processes governing atmospheric trace gas dynamics, in particular ozone in the arctic boundary layer. The research activities will lead to improvements in the predictive understanding of tropospheric ozone and other trace gases, which can exert a critical influence in the arctic chemical and radiative balance. Our studies are motivated to derive further understanding of trace gas deposition rates and will achieve the following objectives:1. to investigate the most appropriate methods for estimating trace gas transport in the surface layer of the arctic atmosphere,2. to evaluate the suitability of electrochemical ozonesonde data for deriving ozone deposition rates,3. to study and quantify ozone deposition rates at selected Arctic sites based on ozonesonde routinely obtained at selected arctic sites,4. and to define the atmospheric conditions when maximum ozone surface deposition rates take place in the arctic boundary layer.These objectives will be addressed through a combination of data analyses and modeling studies employing three data sets deemed to be of high quality. During spring 2000, we obtained high frequency data at Alert, Nunavut, Canada and Summit, Greenland, Denmark. These two data sets, involving vertical meteorological and chemical profiles from towers and tethered balloons, will be analyzed within the framework of investigating the most appropriate methods to derive trace gas fluxes between the surface and overlying atmosphere and/or vice versa. Additional scientific outputs of these activities relate to the turbulent length scales associated with trace gas fluxes in the arctic boundary layer. Knowledge of turbulent scales is critically essential to understand the atmospheric layer impacted by trace gas emissions from the Arctic snowpack. The third data set involves the archived data from ozonesondes released at selected sites throughout the Arctic. We will employ these extensive historical data to develop a one-dimensional model to derive ozone deposition rates to the snowpack surface. Estimated deposition rates will provide upper threshold values that can then be incorporated in regional and/or global models to constrain ozone budgets in the arctic troposphere. The research will lead to a simple modeling parameterization to routinely derive ozone deposition rates based on the World Meteorological Organization (WMO) ozone monitoring network, and thus provide critical information to decipher the processes governing ozone temporal changes in the Arctic boundary layer. Understanding of ozone dynamics is crucial to define the contribution of ozone in the chemical and radiative balance of the Arctic. Given the recent discovery that the arctic snowpack represents a substantial source of gases such as nitric oxide, nitrogen dioxide, nitrous acid and formaldehyde, this project will also yield methodologies to deduce fluxes of these important trace gases based on ambient (profile) concentrations.

这项研究涉及数据分析和建模活动，以进一步了解控制大气痕量气体动力学的过程，特别是北极边界层中的臭氧。研究活动将改善对对流层臭氧和其他微量气体的预测理解，这些气体可以对北极的化学和辐射平衡产生关键影响。我们的研究旨在进一步了解极量气体的沉积速率，并将实现以下目标：1.研究极量气体在北极大气表层传输的最合适的方法；2.评价电化学臭氧探空仪数据在计算臭氧沉降率方面的适用性；3.根据选定北极站点的常规臭氧探空仪数据，研究和量化选定北极站点的臭氧沉降率；4.确定在北极边界层发生最大臭氧表面沉降率时的大气条件。这些目标将通过数据分析和使用被认为是高质量的三个数据集的模拟研究相结合来解决。在2000年春季，我们在加拿大努纳武特的Alert和丹麦格陵兰的Summit获得了高频数据。这两组数据集涉及塔楼和系留气球的垂直气象和化学概况，将在研究最适当的方法以求出地面和上覆大气之间的痕量气体通量和(或)反之亦然的框架内进行分析。这些活动的其他科学成果涉及与北极边界层中微量气体通量有关的湍流长度尺度。对湍流尺度的了解对于理解北极积雪排放的微量气体对大气层的影响至关重要。第三个数据集涉及北极各地选定地点发布的臭氧探测仪的存档数据。我们将利用这些广泛的历史数据来开发一个一维模型，以得出积雪表面的臭氧沉积率。估计的沉积率将提供上限阈值，然后可将其纳入区域和/或全球模式，以限制北极对流层的臭氧预算。这项研究将产生一个简单的模拟参数，以根据世界气象组织(WMO)的臭氧监测网络定期得出臭氧沉降率，从而提供关键信息，以破译支配北极边界层臭氧时间变化的过程。了解臭氧动力学对于确定臭氧对北极化学和辐射平衡的贡献至关重要。鉴于最近发现北极积雪是一氧化氮、二氧化氮、亚硝酸和甲醛等气体的重要来源，该项目还将提出根据环境(剖面)浓度推断这些重要痕量气体通量的方法。