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20102021
most citedSolar Flare Prediction Model with Three Machine-Learning Algorithms Using Ultraviolet Brightening and Vector Magnetogram

195 citations · 711 across the 15 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

astro-ph.SR2019★ 10 cited

Spectral Structures of Type II Solar Radio Bursts and Solar Energetic Particles

Kazumasa Iwai, Seiji Yashiro, Nariaki V. Nitta +1

We investigated the relationship between the spectral structures of type II solar radio bursts in the hectometric and kilometric wavelength ranges and solar energetic particles (SE…

astro-ph.SR2019★ 62 cited

A Comparison of Flare Forecasting Methods. III. Systematic Behaviors of Operational Solar Flare Forecasting Systems

K. D. Leka, Sung-Hong Park, Kanya Kusano +21

A workshop was recently held at Nagoya University (31 October - 02 November 2017), sponsored by the Center for International Collaborative Research, at the Institute for Space-Eart…

astro-ph.SR2019★ 120 cited

A Comparison of Flare Forecasting Methods. II. Benchmarks, Metrics and Performance Results for Operational Solar Flare Forecasting Systems

K. D. Leka, Sung-Hong Park, Kanya Kusano +21

Solar flares are extremely energetic phenomena in our Solar System. Their impulsive, often drastic radiative increases, in particular at short wavelengths, bring immediate impacts…

physics.space-ph2019

Why do some probabilistic forecasts lack reliability?

Yûki Kubo

In this work, we investigate the reliability of the probabilistic binary forecast. We mathematically prove that a necessary, but not sufficient, condition for achieving a reliable…

astro-ph.SR2019★ 33 cited

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…