Simulation Improves Accuracy of Forecasting Heavy Rainfall in Linear Precipitation Zones -What if the most advanced weather radar could cover all of Kyushu-
A joint research team led by Dr. Takemasa Miyoshi, Team Leader of the Data Assimilation Research Team at the RIKEN Center for Computational Science (R-CCS) (Chief Scientist, Predictive Science Laboratory, Deputy Program Director, RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS)), and Dr. Yasumitsu Maejima, Postdoctoral Researcher, has announced that simulation showed significant improvement of forecasting disastrous heavy rainfall in July 2020. The results of this study showed that the state-of-the-art phased-array weather radar can significantly improve the accuracy of forecasting heavy rainfall associated with linear precipitation zones.
The results of this research are expected to improve the forecasting accuracy of linear precipitation zones, which are increasingly threatened by global warming, and to lead to the proposal of new forecasting techniques and observation systems to mitigate the damage.
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- Yasumitsu Maejima, Takuya Kawabata, Hiromu Seko, Takemasa Miyoshi, Observing System Simulation Experiments of a Rich Phased Array Weather Radar Network Covering Kyushu for the July 2020 Heavy Rainfall Event, SOLA 18, 25-32 (2022), doi: 10.2151/sola.2022-005