Derivation of Mesoscale Atmospheric Motion Vectors Using Coms Images at Kma/nimr

Communication, Ocean and Meteorological Satellite (COMS) is the first Korean geostationary satellite, which is located in 128.2°E launched in 2010, and it is currently under normal operation. Atmospheric motion vectors (AMVs) derived with high resolution satellite images are useful for analyzing mesoscale motion such as convective clouds and ageostrophic flow. National Institute of Meteorological Research at Korea Meteorological Administration (KMA/NIMR) had developed a mesoscale AMV retrieval algorithm using 1 km resolution visible (0.67 μm) images from MTSAT-1R observation and optimized it. In this research, KMA/NIMR has applied the mesoscale AMV algorithm to COMS images. Global forecast fields from Unified Model (UM) N512 has been used with 60 km horizontal resolution and 70 vertical layers, which are exploited with a radiative transfer model to assign heights of vectors, determine search-areas, and control quality of vectors. For the mesoscale AMVs, KMA/NIMR has investigated the optimal threshold of the current quality control (QC) method and tested an additional method, the expected error (EE). In this study, determine the optimal QC method and test the accuracy of COMS mesoscale AMVs to comparison with NWP wind and radiosonde wind.