The Arctic is the place on Earth where global warming is progressing at the fastest rate. The most important process for the amplification of global warming is so called ice-albedo (reflectance) interaction. Glaciers and sea ice are white, so they reflect sunlight. When they are gone, sunlight enters the ground and ocean, storing heat. As a result, ice formation in the next season is prevented. This makes it easier for sunlight to enter, storing more heat, and amplifying global warming.
Water vapor and clouds in the atmosphere absorb radiation from the Earth and emit it toward the ground, warming the ground. In other words, they affect the formation of sea ice. On the other hand, the presence of sea ice itself also affects the atmosphere. This is because sea ice caps the ocean, preventing water vapor and ocean heat from being transported to the atmosphere.
In climate model predictions, the effects of clouds vary greatly depending on the model, and are not fully understood.
Our laboratory focus on mixed-phase stratiform clouds observed in the Arctic. Mixed phase refers to a state in which liquid and solid water particles coexist. We are investigating the reasons for the occurrence and persistence of these clouds by combining numerical experiments and observations.
When you think of precipitation, you may think of heavy rain during the rainy season or summer. In mid-latitudes, even if the water particles (hydrometeors) that fall on the ground are liquid, they often exist in a solid state, or ice, because the temperature high in the atmosphere can be well below 0 degrees Celsius.
Compared to clouds that occur at temperatures above 0 °C, many physical processes must be taken into account. The shapes, densities, and sizes of these ice particles vary; supercooled liquid at temperatures exist down to -38 °C; liquid and solid particles interact each other; electric charges cloud/precipitation particles separate within clouds. Snowfall forecast can be a difficult task due to these reasons.
Our laboratory aims to understand the precipitation phenomena and identify the underlying factors to improve weather predictions by combining observational data and numerical models.
Have you imagined how rain drops form in the atmosphere? The science of cloud and precipitation was stimulated by our needs for water during dry seasons, and weather modification technology has been developed based on the science. Under climate changes, precipitation distribution, strength and the type (rain or snow) are expected to change. Understanding growth process from aerosol particles to rain drops/snow is important to improve climate and weather prediction.
Fundamental processes include nucleation, cloud particle activation, vapor deposition/condensation, collision-coalescence-breakup, and melting processes. The flow fields around the particles as well as the physical characteristics of the particles determine the growth rates. We are interested in particle-scale phenomena to quantify the growth based on numerical approach.
A sound-based rain gauge (acoustic gauge) does not include a mechanical part to measure rain, so its simple design is advantage over the traditional rain gauge. In addition, the sound itself has information on the drop size distribution. Our goal is to develop a low-cost acoustic gauge that can be distributed over regions to better monitor precipitation for coming extreme events.