I'm curious about weather and climate systems in the tropics, focusing on atmospheric circulation, moisture dynamics, clouds, and precipitation. My principal subject is the Madden–Julian oscillation (MJO), a large‑scale convective system with rainfall that travels eastward along the equator from the Indian Ocean toward the Pacific. I analyse how the MJO’s behaviour changes from month to month and study why some events weaken before reaching the Pacific.

The MJO is the most dominant intraseasonal variability in the tropics, producing alternating wet and dry periods roughly every 30–60 days. It directly affects daily weather in regions along its path, such as Indonesia. The MJO also influences the onset and withdrawal of the Asian monsoon, the genesis and development of tropical cyclones, and the modulation of El Niño events, thereby indirectly affecting weather in mid‑latitude areas, including Japan, North America, and Europe. Although the MJO is a key atmospheric phenomenon, our understanding of it remains limited more than 50 years after its discovery. Many questions are still unresolved, and tackling them is both a challenge and a motivation for my research.

I'm interested in an Atmospheric River,which transporte a large amount of water vapor in the atmosphere extended several thousand kilometers in length and narrow shape. In particular, I focus on the relationship with extratropical cyclones in the East Asia region, and investigate the mechanisms that form atmospheric rivers.

I'm interested in snowfall in the Kanto region and want to know what causes more rain or snow in winter. I analyze from different perspectives: when extratropical cyclones occur frequently, and what conditions they cause snowfall. I’m interested in whether large-scale atmospheric conditions influence snowfall in the Kanto region — or whether they have little impact. There is a lot of research that analyzes case study of snowfall events, but I think there are fewer research that look at the data statistically. That’s why I’m trying to study snowfall and cyclone systems from a climatological perspective.

I'm interested in the phenomenon known as “Linear Precipitation Systems,” which has received widespread media attention in recent years. Such systems have caused damage throughout Japan, and we are attempting to predict their occurrence in the particularly vulnerable Kyushu region using machine learning.

I'm studying the factors that cause increased precipitation in the Siberian region of Russia, especially in the Lena River basin. In recent years, studies have shown that extreme weather events are becoming more frequent in Siberia due to climate change. Therefore, my research analyzes not only atmospheric conditions but also the state of the land surface.

I'm studying the temporal changes in the size and number of raindrops (raindrop size distribution; DSD) during the summer season. I set up the meteorological instrument on the roof of the university to observe raindrops and study the factors that cause differences in raindrop size distribution based on multiple examples of precipitation. I think that ground-based observations will help us understand physical processes such as condensation of water vapor occurring in the sky.

Focusing on phenomena like "extreme heat days" and "tropical nights," which are frequently discussed in daily news and weather forecasts, I compare how the intensity of summer heat is experienced in different urban areas.In particular, I examine how the urban heat island effect, which is prominent in cities, impacts people's discomfort. Using satellite data on surface temperature and humidity, I calculate the discomfort index and visualize its distribution on maps, revealing the unique characteristics of each city.

I am studying the relationship between late fall, early winter precipitation, and soil temperature changes in permafrost regions in Mongolia. Early winter precipitation increases soil moisture and stabilizes soil temperatures under snow. Both global warming and precipitation reduce permafrost, but global warming has been found to have a stronger effect. In this study, I would like to investigate how changes in precipitation in late fall/early winter affect permafrost.

I'm interested in localized thunderstorms that occur in the Kanto region during summer afternoon. In particular, I focus on the spatial-scale relationship between lightning active areas and heavy rain area,and predict the occurrence of tornadoes and heavy rainfall based on the intensification of lightning activity (lightning jumps).