Evaluation of the CMORPH high-resolution precipitation product for hydrological applications over South Korea

The use of a high-resolution satellite-based precipitation product on global-scale is attractive to hydrological applications. However, it should be systematically evaluated from various perspectives as the quality property dependent geographical and topographical features region. This study aims comprehensively assess Climate Prediction Center morphing technique (CMORPH) over South Korea. Two evaluation approaches, general using statistical metrics detection (to measure skill in detecting non-precipitation) categorical metrics, are employed based an 18-year long-term period record. As result, CMORPH tended underestimate Korea, level underestimation varied with seasons regions. overall was adequate for applications that require data at annual-to-daily resolution but not hourly resolution. Skill storm event 60% rain-gauge data, accuracies total volume peak value were 45% 40%, respectively. coastal regions islands good inland areas low altitudes. accuracy wet season better than dry/winter season. Notably, suitable snowfall data. Ultimately, needs correction process local measurement systems enhancing