High-accuracy extreme weather forecasting technology
combining global observation data and simulations for various use cases
Disasters caused by extreme weather events such as typhoons and linear rainbands occur almost every year in a way that threatens people's lives. We aim to improve the accuracy of extreme weather forecasts by utilizing global observation data and simulations.
First, we will construct various observation networks in a virtual space and simulate extreme weather to estimate the effect that each observation network has on improving forecast accuracy. In this way, we will enable us to determine the most-suitable observation network for each purpose.
After that, we will collect observation data through the determined observation network and use it for real-time forecasting. As a result, we will provide high accuracy forecast information tailored to each use cases, for example, preemptive measures by government and infrastructure institutions and changes in individual behavior. In the future, we aim to further improve the accuracy of forecasts by utilizing global observation data obtained through our super-wide-area atmosphere and ocean observation technology and working with related organizations to understand the mechanisms behind extreme weather phenomena.
Global Environmental Futures Forecasting Technology Proactively Adapts to Extreme Weather Events
Super-wide-area atmosphere and ocean observation technology
NTT Space Environment and Energy Laboratories are looking for researchers and engineers from several fields to help us find new solutions to pressing worldwide issues.