Determination of Best-Fit Probability Distribution …
73
Fig. 4 Relationship between the theoretical and empirical quantiles for wet season rainfall
same basin but also at the same station in different seasons. For example, the rainfall at Mangan follows log-normal distribution during wet season whereas follows
Weibull in the dry season. This shows that applying normal statistical rules without
identifying the distribution of rainfall may result in misinterpretation and error in
analysis. Knowledge of probability distribution will assist climatologists, meteorologists, hydrologists, and ecologists in understanding better the rainfall-dependent
events and in subsequent decision making which then can be effectively employed
in crop planning, irrigation scheduling, and mitigating the effects of extreme rainfall
on the topography.
73
Fig. 4 Relationship between the theoretical and empirical quantiles for wet season rainfall
same basin but also at the same station in different seasons. For example, the rainfall at Mangan follows log-normal distribution during wet season whereas follows
Weibull in the dry season. This shows that applying normal statistical rules without
identifying the distribution of rainfall may result in misinterpretation and error in
analysis. Knowledge of probability distribution will assist climatologists, meteorologists, hydrologists, and ecologists in understanding better the rainfall-dependent
events and in subsequent decision making which then can be effectively employed
in crop planning, irrigation scheduling, and mitigating the effects of extreme rainfall
on the topography.