Assessing the Assessment Models for Atmospheric Composition Using Global Chemical Modes

使用全球化学模式评估大气成分评估模型

• 批准号: 9980339
• 负责人: Michael Prather
• 金额: $ 21.44万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-02-15 至 2003-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9980339&HistoricalAwards=false
• 关键词: Assessing; Assessment; Models; Atmospheric; Composition

The proposed research will test the validity of IA models for atmospheric composition by comparing global chemical modes in the IA model with those identified in a reference model, i.e., the global 3-D Chemistry-Transport Models available at UC Irvine and Lawrence Livermore National Lab. These chemical modes are the eigenvectors of the linearized continuity equations for the complete set of independent variables and describe the decay of perturbation of the system. They are key diagnostic of the combined influence of multiple systems. This research will explicitly calculate all the chemistry-climate modes of some IA models and compare them with the long-lived modes diagnosed from detailed atmospheric models upon which the IA models are based. This is an objective way of analyzing IA models for long-lived, or even unstable, perturbations to the greenhouse gas-climate system. The work is important because it will identify modes that couple across the biosphere-chemistry-climate system in IA models.

拟议的研究将通过比较IA模式中的全球化学模式与参考模式中确定的全球化学模式，即UC Irvine和Lawrence Livermore国家实验室提供的全球3-D化学传输模型。这些化学模式是独立变量的完整集合的线性化连续性方程的特征向量，并且描述了系统扰动的衰减。它们是多系统综合影响的关键诊断。本研究将明确计算所有的化学气候模式的一些IA模式，并将它们与诊断的长期存在的模式详细的大气模式的IA模式的基础上。这是一种客观的方式来分析IA模型的长期存在的，甚至是不稳定的，扰动的温室气体气候系统。这项工作很重要，因为它将确定在IA模型中耦合生物圈-化学-气候系统的模式。