Assessing the Assessment Models for Atmospheric Composition Using Global Chemical Modes

拟议的研究将通过比较IA模型中的全球化学模式与参考模型中确定的模式，即加州大学欧文分校和劳伦斯利弗莫尔国家实验室提供的全球3-D化学-传输模型，来测试IA模型对大气成分的有效性。这些化学模态是自变量完备集线性化连续方程的特征向量，描述了系统扰动的衰减。它们是诊断多系统综合影响的关键。本研究将明确计算一些IA模式的所有化学-气候模式，并将其与IA模式所依据的详细大气模式诊断出的长寿命模式进行比较。这是一种客观的方法来分析IA模型对温室气体-气候系统的长期甚至不稳定的扰动。这项工作很重要，因为它将确定IA模式中生物圈-化学-气候系统的耦合模式。

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.