We devised an adaptive method for calibrating remote sensing precipitation in the South Pacific. By classifying data into weather types and applying varied techniques, we achieve improved calibration. Results showed enhanced accuracy in mean and extreme precipitation indices across locations. The method offers customization options and effectively addresses intense rainfall events. Its versatility allows for application in diverse scenarios, supporting a better understanding of climate impacts.