High-Resolution simulations of Heavy-Rain-Producing Mesoscale Convective Systems using Cloud-Resolving models

Abstract

In East Asia, heavy-rain-producing mesoscale convective systems (MCSs) often develop in monsoon systems and cause severe floods and landslides. To understand and forecast these high-resolution simulations using cloud-resolving models (CRMs) are necessary. Tsuboki and Luo (2020) reviewed recent studies of MCSs using CRMs and remarked that data assimilation (DA) of radar observations to CRMs is promising for the improvement of simulation and numerical weather prediction (NWP) of MCSs. The DA of radar observations to CRMs is very effective for short-range NWP of MCSs using CRMs. Various convective-scale DAs have been developed to improve the NWP of heavy-rain-producing MCSs. Following Tsuboki and Luo (2020), this paper introduces recent studies on MCS using CRMs, phased array weather radars and DAs of radar observations.