Computational Climate Sciences
COMPUTATIONAL CLIMATE SCIENCE RESEARCH TEAM
LEAD PI / MENTOR: HIROFUMI TOMITA
One of our aims is to develop the meteorological model, a key infrastructure for this research field, with specific focus on cloud-turbulence interaction. Specifically, we will investigate:
- the sophistication of SCALE, a model library for meteorology,
- turbulence and moist process schemes for the high-resolution run,
- the methodological study for regional climate assessment,
- mechanisms of self-organization of cloud system.
Students participating in this project will develop new cloud-turbulence schemes and compare them with existing schemes. At the conclusion of the fellowship, participants will work with their collaborators to present their findings as a journal article. Collaborators with a long-term interest in the theory of atmospheric turbulence with moist process are encouraged to apply. Specifically, participants working with U.S. based mentors doing research in fluid dynamics and meteorology or global climate with large-scale parallel computation will be a good fit for this project.
REQUIRED SKILLS
Students applying to this project are expected to have:
- a fundamental understanding of fluid dynamics and meteorology
- experience programing with FORTRAN on Linux.
- an interest in climate modeling and its construction method, high-resolution simulation, and mechanism of cloud clustering phenomena.
COMPUTATIONAL RESOURCES
A PC cluster for model development.