Global Atmospheric Chemistry: Uncertainties and Errors; Modes and Parametric Models

全球大气化学：不确定性和错误；

• 批准号: 0550234
• 负责人: Michael Prather
• 金额: $ 66.56万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-15 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0550234&HistoricalAwards=false
• 关键词: Global; Atmospheric; Chemistry; Uncertainties; Errors

Research will be continued on the basic properties of chemistry-transport models (CTMs), focusing on: (1) correction of the numerical error in CTMs due to grid resolution, and (2) chemical mode studies that include the derivation of a stratosphere-troposphere coupled chemistry mode and the formulation of a simplified (parametric) model having the same modes as the CTM. A new approach for calculating the numerical errors associated with grid resolution will be developed and tested. The results will be broadly applicable to all CTMs, and will not only characterize the resolution errors but may also be used to help correct them. The existence of global chemical modes in CTMs will be used as a fundamental diagnostic of the models. The tropospheric chemical mode that describes decadal perturbations to methane will be coupled, for the first time in a CTM, with the century-long stratospheric mode involving nitrous oxide and ozone. Global chemical modes will be used to develop reduced-dimension parametric models using sensitivity calculations with a CTM. A reduced-dimension Jacobian will be calculated that completely defines the parametric model and can be compared with the modes of the full CTM.Broader impacts range from improving the atmospheric chemistry/composition elements in Earth system models to providing more accurate scientific input on global change. The quantification of even one component of uncertainty in projecting atmospheric composition should benefit Earth system models and their policy applications. This project will also help prepare undergraduate students, doctoral students, and post-docs working in atmospheric chemistry with the mathematical skills needed to diagnose and analyze complex Earth system models.

将继续研究化学-输送模式的基本特性，重点是：（1）修正由于网格分辨率造成的化学-输送模式中的数值误差，（2）化学模式研究，包括推导平流层-对流层耦合化学模式和制定具有与化学-输送模式相同模式的简化（参数）模式。 一个新的方法来计算与网格分辨率相关的数值误差将被开发和测试。 结果将广泛适用于所有的CTM，不仅将表征分辨率误差，但也可以用来帮助纠正它们。 全球化学模式在CTM的存在将被用来作为一个基本的诊断模型。 描述甲烷十年期扰动的对流层化学模式将首次在CTM中与涉及一氧化二氮和臭氧的长达一个世纪的平流层模式相耦合。 全球化学模式将用于开发降维参数模型，使用CTM进行灵敏度计算。 将计算一个降维雅可比矩阵，它完全确定了参数模型，并可与完整CTM的模式进行比较。更广泛的影响范围从改善地球系统模型中的大气化学/组成要素到提供关于全球变化的更准确的科学投入。 在预测大气成分时，即使对不确定性的一个组成部分进行量化，也将有益于地球系统模型及其政策应用。 该项目还将帮助准备本科生，博士生和博士后工作在大气化学与诊断和分析复杂的地球系统模型所需的数学技能。