Estimating the dimension of weather and climate attractors: important issues about the procedure and interpretation

Abstract

When the reconstruction of attractors from observables is sought, the Grassberger-Procaccia algorithm for estimating the correlation dimension is often used. An overview of recent developments concerning data requirements and algorithm performance is presented within. In view of these developments the significance of previous estimated dimensions of weather and climate attractors is discussed. -Authors