In this talk, the model performance of storm-resolving models (SRMs) in simulating precipitation over East Asian summer monsoon (EASM) will be introduced. We have investigated the model performance of 6 global SRMs participated in “DYAMOND” project in simulating precipitation characteristics (amount, frequency, intensity, the diurnal cycle, spatial pattern and so on) over EASM during a 40-days period. The global SRMs we have used including ICON, NICAM, MetUM, FV3, IFS of ECMWF and MPAS. We then further checked model behaviors of SRMs in reproducing the characteristics (such as rainfall area, average and maximum hourly precipitation intensity, lifetime and its contribution to total rainfall) of mesoscale convective systems (MCSs) We found that some global SRMs could relatively well reproduce the overall characteristics of MCSs over EASM, but there also exists some notable systematic bias in simulating the spatial distribution of precipitation, which is might be associated with the bias in simulating the large-scale circulations. Meanwhile, some of SRMs prefers to form much more short-duration isolated precipitation systems, compared with the observation. We then further used the regional ICON runs (~2.5km) forced by IFS analysis to investigate the model performance of a SRM in simulating MCSs activities during a typical “Mei-yu” persistent heavy rainfall over EASM. We found that the regional ICON has successfully simulated not only the precipitation characteristics of this heavy rainfall event, but also the MCSs activities within the “Mei-yu” rainband have also been well captured. This result indicates that the SRM could realistically capture the main characteristics of the propagating MCSs, and therefore should be a promising tool to conduct climate projection to reduce the potential model uncertainty induced by deep convection schemes.
