A discrete view of the Indian monsoon to identify spatial patterns of rainfall
We propose a representation of the Indian summer monsoon rainfall in terms of a probabilistic model based on a Markov random field consisting of discrete state variables representing low and high rainfall at grid-scale and daily rainfall patterns across space and in time. These discrete states are conditioned on observed daily gridded rainfall data from the period 2000 to 2007. The model gives us
