39 citations · 130 across the 4 of their papers we have counts for
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Validation of Coronal Mass Ejection Arrival-Time Forecasts by Magnetohydrodynamic Simulations based on Interplanetary Scintillation Observations
Kazumasa Iwai, Daikou Shiota, Munetoshi Tokumaru +3
Coronal mass ejections (CMEs) cause various disturbances of the space environment; therefore, forecasting their arrival time is very important. However, forecasting accuracy is hin…
Reliable Probability Forecast of Solar Flares: Deep Flare Net-Reliable (DeFN-R)
Naoto Nishizuka, Yûki Kubo, Komei Sugiura +2
We developed a reliable probabilistic solar flare forecasting model using a deep neural network, named Deep Flare Net-Reliable (DeFN-R). The model can predict the maximum classes o…
Development of a coronal mass ejection arrival time forecasting system using interplanetary scintillation observations
Kazumasa Iwai, Daikou Shiota, Munetoshi Tokumaru +3
Coronal mass ejections (CMEs) cause disturbances in the environment of the Earth when they arrive at the Earth. However, the prediction of the arrival of CMEs still remains a chall…
Verification of operational solar flare forecast: Case of Regional Warning Center Japan
Yûki Kubo, Mitsue Den, Mamoru Ishii
In this article, we discuss a verification study of an operational solar flare forecast in the Regional Warning Center (RWC) Japan. The RWC Japan has been issuing four-categorical…