Expert Knowledge and Multivariate Emulation: The Thermosphere–Ionosphere Electrodynamics General Circulation Model (TIE-GCM)
Expert Knowledge and Multivariate Emulation: The Thermosphere–Ionosphere Electrodynamics General Circulation Model (TIE-GCM)
复制标题
专家知识和多元仿真：热层-电离层电动力学环流模型 (TIE-GCM)
DOI：
10.1198/tech.2009.07123
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发表时间：
2009
期刊：
影响因子：
2.5
通讯作者：
S. French
中科院分区：
文献类型：
--
作者：
James A. Smith;S. French
高层大气的热层-电离层电动力学大气环流模型（TIE-GCM）有一些特点，是一个挑战标准的模拟方法，包括长运行时间，多变量输出，周期性，以及输入和输出之间的相互关系的强约束。这类特征在复杂系统的模型中并不罕见。我们展示了如何在仿真器中处理它们，并演示了使用外积仿真器进行有效计算，重点是模型选择和模型验证的预测诊断。我们使用模拟器来“验证”底层计算机代码，并量化我们的定性物理理解。
The thermosphere–ionosphere electrodynamics general circulation model (TIE-GCM) of the upper atmosphere has a number of features that are a challenge to standard approaches to emulation, including a long run time, multivariate output, periodicity, and strong constraints on the interrelationship between inputs and outputs. These kinds of features are not unusual in models of complex systems. We show how they can be handled in an emulator and demonstrate the use of the outer product emulator for efficient calculation, with an emphasis on predictive diagnostics for model choice and model validation. We use our emulator to “verify” the underlying computer code and to quantify our qualitative physical understanding.
影响因子：
2.5
作者：
Bastos, Leonardo S.;O'Hagan, Anthony
通讯作者：
O'Hagan, Anthony
影响因子：
0.9
作者：
Goldstein, Michael;Rougier, Jonathan
通讯作者：
Rougier, Jonathan