The analysis of the results indicates that point interception loss is controlled primarily by three time scales: the mean inter-storm arrival time $\tau_a$, the mean storm duration $\tau_r$, and the time to evaporate a saturated canopy $\tau_0$ which depends on canopy water holding capacity $W_c$ and the wet canopy potential evaporation rate $E_{I0}$, and less importantly, on storm intensity. Additional assumption about rainfall stationarity leads to a relation between long-term interception loss and gross rainfall that requires a very small amount of input data.
The interception loss predicted by the analytical model agree well with that of a Rutter model driven by a synthetic rainfall time series with the same statistics. Using the parameter values estimated from the observed rainfall data in the Amazon and southwestern France, the analytical results predict long-term interception losses very close to those observed.
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