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The article presents a new robust skewed boxplot method for detecting outliers in rainfall observations, which is particularly useful in real-time flood forecasting systems. This method utilizes the medcouple (MC) to account for skewness and outliers, resulting in improved accuracy compared to standard boxplots. The proposed approach effectively reduces the misclassification of normal data as outliers, enhancing the reliability of rainfall data used in hydrological models.

Author

cahcbasura

Language

EN