Novel Application of Uncertainty Analysis Methods for Quantitative Precipitation Estimation Based on Weather Radars in the Korean Peninsula

• DOI: 10.3390/app10217928
• Publication Date: 2020-11-10T15:47:28Z
• Authors: Jae-Kyoung Lee; Chang Geun Song
• Keywords: Quantitative precipitation estimation; Quantitative precipitation forecast; Propagation of uncertainty; Sensitivity Analysis

Several sources of bias are involved at each stage a quantitative precipitation estimation process because weather radars measure amounts indirectly. Conventional methods compare the relative uncertainties between different stages but seldom present total uncertainty. Therefore, objectives this study were as follows: (1) to quantify uncertainty and in total; (2) elucidate ratio terms uncertainty; (3) explain propagation stage. This proposed novel application three (maximum entropy method, Delta modified-fractional method) determine uncertainty, level increase, percentage Based on data from 18 events that occurred over Korean Peninsula, applicability was tested using radar comprised two quality control algorithms, methods, post-processing correction methods. Results indicated final method reduced comparison with initial depending applied.