Overview

Major Research Themes

Data Assimilation and Numerical Weather Prediction

Advancing numerical weather prediction with data assimilation.

Disaster Predictions with AI and Data Science

Exploring disaster predictions based on deep learning and data science.

Quantum Computing, Annealing and Optimization

High-speed computation for data assimilation and optimization problems using quantum computers

Global Precipitation Mapping under Global Precipitation Measurement Mission

Enhancing global precipitation maps using data sciences

Toward Weather Controlled Society

Realizing weather controls under Moonshot Goal 8

Research Keywords

Themes

Numerical Weather Prediction | Flood Forecasting | Seasonal Prediction | Weather Control

Phenomena

Torrential Rain | Linear Rainbands | Floods | Droughts | Weather Forecasting | Global Warming | Climate Change

Satellite Observations

GPM | Himawari | GCOM-W, etc.

Numerical Weather Prediction Models

NICAM | SCALE | SPEEDY | ClimaX

Data Assimilation

Satellite Data Assimilation | Optimal Observation Placement | Observation Value Assessment | Parameter Optimization

Data Science Methods

Clustering | Landscape Analysis

Mathematical Research

Optimization | Quantum Computing | Annealing | Nonlinear Synchronization | Koopman Mode Decomposition

Machine Learning Models and Techniques

Vision Transformer | SWIN IR | Boltzmann Machines | Reservoir Computing | ResNet | VGG | Explainable AI

Projects

Grants-in-Aid for Scientific Research (KAKENHI) | JAXA | Moonshot | JST-Related | Industry Collaborations, etc.