There is a satellite-based product named Rapid Developing Thunderstorm (RDT) which indicates development stage of convective cloud. RDT product originally has been developed in the EUMETSAT’s Satellite Application Facility for Nowcasting (SAF-NWC). It is an object-oriented diagnostic tool for convective clouds or cell. In South Korea, similarly to this RDT product, K-RDT product has been developed using RDT algorithm as tuning coefficients close to environment of Korean Peninsula.
Convective precipitation as a sub-grid scale phenomenon can be calculated in cumulus parameterization scheme in numerical weather prediction model. There are many cases where numerical weather prediction model fails to predict occurrence of convective precipitation or succeed to simulate occurrence of it but fails intensity of it. In this study, to improve low accuracy for predictability of convective systems over the Korean Peninsula, information for small-scale convective cloud was assimilated to Simplified Arakawa Schubert cumulus parameterization scheme using simple technique in numerical weather prediction model. In addition, results are compared with the Local Data Assimilation and Prediction System (LDAPS) which is the operation numerical weather prediction model of Korea Meteorological Administration (KMA). Results clearly show that the predictability of convective systems is improved in the experiment with data assimilation than without data assimilation. Also, comparing with LDAPS the experiment performed RDT data assimilation simulates close to AWS observation in not only area occurred maximum rainfall but also intensity. Although amount of the precipitation simulated in the data assimilation experiment is less than AWS observation, the area which occurred maximum precipitation is well captured.
However, there are some limitations for this technique. first, it heavily depends on the accuracy of RDT product. Second, it can be affected by environmental wind field simulated in numerical model because technique used in this study is not enough to change wind or pressure field. Nevertheless, This technique is very meaningful in that it improves the predictability of convective systems over the Korean Peninsula.