Scientific Challenges of Convective-Scale Numerical Weather Prediction

Accelerating Extreme-Scale Numerical Weather Prediction

Numerical Weather Prediction (NWP) and climate simulations have been intimately connected with progress in supercomputing since the first numerical forecast wasmade about 65 years ago. The biggest challenge to state-of-the-art computational NWP arises today from its own software productivity shortfall. The application software at the heart of most NWP services is ill-equipped to efficiently ada...

Dissertation Improving Numerical Weather Prediction: Error Growth at the Convective Scale and Speed

Acknowledgments

Numerical Weather Prediction Models

JMA operates NWP models to meet various kinds of requirements on weather forecasting. The suite of the NWP models covers a wide temporal range of forecast periods from a few hours to two seasons providing a seamless sequence of products for the public. The Global Spectral Model (GSM) produces 84-hour forecast four times a day (00, 06, 12, 18 UTC) to support the official short-range forecasting ...

Mesoscale Numerical Weather Prediction

Mesoscale models, with grid resolution higher than synoptic and global models, and with advanced physical parameterizations, have been an important tool for meteorological research over the past twenty years. The research applications of mesoscale models, mostly through case studies or model sensitivity experiments in the 1980s, provided us with important physical insights into mesoscale weathe...

The Role of Meso-γ-scale Numerical Weather Prediction and Visualization for Weather-sensitive Decision Making