大雨、洪水、嵐などの異常気象がより頻繁になる中、政府や気象機関は、天気予報の正確さと速さを向上させるためにAI技術を利用し始めています。

READING

As extreme weather events such as heavy rain, floods, and storms become more frequent, governments and meteorological organizations are turning to AI technology to improve the accuracy and speed of weather predictions. Under such circumstances, AI-based weather forecasting systems have been increasingly used around the world. These systems use artificial intelligence to analyze vast amounts of data collected from satellites, sensors, and past weather records.

Supporters argue that AI-based forecasting offers several important advantages. Studies have shown that the amount of weather data available today is much greater than in the past. By processing such large and complex datasets, AI can identify patterns that are difficult for humans to detect. This leads to more accurate predictions of weather changes. Moreover, such accurate systems can provide people, local governments, and emergency services with earlier warnings to prepare for natural disasters in advance. This can improve disaster preparedness.

On the other hand, some concerns have been raised about AI-based forecasting systems. Since AI learns from past weather data, it may have difficulty predicting unusual weather patterns caused by climate change. Under such conditions, the system may produce unreliable results. Consequently, such results could cause confusion among people who receive the information.