Kyoto, Japan -- Around the world, we are already witnessing the detrimental effects of climate change, which we know will only become more severe. Extreme weather events such as heavy rainfall, tropical cyclones, and heat waves are projected to intensify, and this will negatively impact both human society and natural ecosystems.

Assessing how climate change affects extreme weather is important not only from a scientific point of view, but also from a practical perspective. It is critical that we start adapting to climate change and mitigating the effects of potential disasters.

This situation has motivated a team of researchers at Kyoto University to investigate how climate change -- in particular, rising temperatures -- affects precipitation in Japan. The team has focused on heavy rainfall patterns and what kind of atmospheric conditions influence their characteristics.

This paper proposes GAN-Solar, a novel quality optimization model for short-term solar radiation forecasting. Based on Generative Adversarial Networks (GANs), the model addresses spatial texture degradation and intensity distortion in predictions, significantly improving forecast quality and reliability for high-precision applications.

Researchers conducted a detailed mobile observation survey of methane emissions in the Osaka metropolitan area. Researchers found overlooked sources of greenhouse gas emissions.

POSTECH analyzed the contribution of wildfires to changes in fine particulate matter PM_2.5 concentrations during drought periods.