Graphical Abstract

Maejima, Y., T. Miyoshi, M. Kunii, H. Seko, and K. Sato, 2019: Impact of dense and frequent surface observations on 1-minute-update severe rainstorm prediction: A simulation study. J. Meteor. Soc. Japan, 97, https://doi.org/10.2151/jmsj.2019-014.
Early Online ReleaseGraphical Abstract with highlights

Plain Language Summary: This study aims to investigate the potential impact of surface observations with a high spatial and temporal density on a local heavy rainstorm case that caused five fatalities in Kobe, Japan on July 28, 2008. The control experiment (CTRL) assimilates only the phased array weather radar (PAWR) data, and two sensitivity experiments are performed to investigate the impact of additional surface observations obtained every minute at 8 (S8) and 167 (S167) stations in Kobe. The results show that the dense and frequent surface observations have a significant positive impact on the analyses and forecasts of the local heavy rainstorm (Fig. 1).

Highlights: