New Method Predicts Extreme Precipitation Events More Accurately for Policy Decisions
The article compares two methods for analyzing extreme precipitation events using long historical data and climate simulations. The researchers found that the AMS method is more stable than the POT method for certain thresholds. They also introduced a new method for managing large datasets of AMS samples. By examining past and future precipitation statistics, they identified common characteristics among different durations of precipitation events.