This study investigates the spatial distribution of predictability of daily precipitation across the USA. The emphasis is on determining the rate of increase in predictability with spatio-temporal averaging, by defining three predictability statistics (maximum predictability, predictive error, and predictive instability) based on the nonlinear finite-time Lyapunov exponent.

Dhanya, C.T., and G. Villarini, On the inherent predictability of precipitation across the United States, Theoretical and Applied Climatology, 133, 1035-1050, 2018.