As of March 1, both human and AI prognosticators were calling for the flowers to appear earlier than in an average year nationwide. But in some locations, the expectations differ by a few days. The results of the competition will be announced on April 5 on the company’s Otenki Japan weather forecast website.
In the company, human weather forecasters had predicted the blooming dates until 2017, but in 2018 the AI replaced them for the first time. However, its 2018 predictions for only 31 percent of 45 locations in the country came within two days of the actual blooming dates. The hit ratio of the AI predictions is lower than the ratio for predictions by Hisashi Kataoka. Kataoka, 41, is the company’s group leader and has worked as a weather forecaster for 17 years. His average hit ratio was 37 percent from 2010 to 2017.
So, the company gave its AI additional information about cherry blossoms’ cycle of being dormant in autumn and winter and developing flower buds in early spring, and about changing weather patterns, such as temperature data. As a result, the ratio improved to 60 percent in a simulation based on last year’s blossoming dates.
Kataoka said: “I held a 63 percent hit record in the past. I’m looking forward to the results.”
Published : Jul 04, 2022
Published : March 10, 2019
By : The Yomiuri Shimbun Asia News Network