Long-term predictability of mean daily temperature data
We quantify the long-term predictability of global mean daily temperature data by means of the Rényi entropy of second order <i>K<sub>2</sub></i>. We are interested in the yearly amplitude fluctuations of the temperature. Hence, the data are low-pass filtered. The ob...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2005-01-01
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| Series: | Nonlinear Processes in Geophysics |
| Online Access: | http://www.nonlin-processes-geophys.net/12/471/2005/npg-12-471-2005.pdf |