A methodology for estimating the potential predictability of seasonal mean climate variables where the daily data consist of dichotomous (on/off) events, such as precipitation, is described and applied to Western Australian rainfall for the period 1951--2000. The method relies on determining an estimate for the intermonth correlations for precipitation and utilizes a stochastic, two state, first order, Markov chain model fitted to the daily data. References W. Feller. An Introduction to Probability Theory and Its Applications. Vol. 2. John Wiley and Sons, 626pp, 1966. C. S. Frederiksen and X. Zheng. Coherent Structures of Interannual Variability of the Atmospheric Circulation: The Role of Intraseasonal Variability. Frontiers i...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
Stochastic generation of the required daily precipitation data offers an attractive alternative to t...
A methodology for estimating the potential predictability of seasonal mean climate variables where t...
A methodology for estimating the potential predictability of seasonal mean climate variables where t...
A methodology for estimating the potential predictability of seasonal mean climate variables where t...
A methodology for estimating the potential predictability of seasonal mean climate variables where t...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
Stochastic generation of the required daily precipitation data offers an attractive alternative to t...
A methodology for estimating the potential predictability of seasonal mean climate variables where t...
A methodology for estimating the potential predictability of seasonal mean climate variables where t...
A methodology for estimating the potential predictability of seasonal mean climate variables where t...
A methodology for estimating the potential predictability of seasonal mean climate variables where t...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable consists of a slow and intraseasonal component. Existing met...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
The seasonal mean of a climate variable is considered to be a statistical random variable with two c...
Stochastic generation of the required daily precipitation data offers an attractive alternative to t...