Beyond axial symmetry: An improved class of models for global data
Beyond axial symmetry: An improved class of models for global data
复制标题
超越轴对称:一类改进的全局数据模型
作者:
S. Castruccio;M. Genton
An important class of models for data on a spherical domain, called axially symmetric, assumes stationarity across longitudes but not across latitudes. The main aim of this work is to introduce a new and more flexible class of models by relaxing the assumption of longitudinal stationarity in the context of regularly gridded climate model output. In this investigation, two other related topics are discussed: the lack of fit of an axially symmetric parametric model compared with a non‐parametric model and to longitudinally reversible processes, an important subclass of axially symmetric models. Copyright © 2014 John Wiley & Sons, Ltd