Broadening the options for alternative energy sources is essential for the global community to maintain robust, cost-effective, and reliable power grids. Public and private utility managers use our forecasting tools to efficiently and economically incorporate solar and wind power into their energy portfolios. The research strides we’ve made help predict solar and wind events. The power generated from these sources is now more reliable, which ultimately moves the world closer to renewable energy goals.
Focus Areas of Research
Artificial Intelligence and Big Data for Prediction
Precise Location-Based Weather Forecasts Wherever You Are
Complex Multi-scale Flows and Atmospheric Boundary Layer Research
Improving the prediction of surface and near-surface weather conditions
Numerical Weather Prediction (NWP) and Data Assimilation
Providing Decision Makers Real-Time Knowledge of the Atmosphere
Renewable Energy
Advanced Technologies for Renewable Energy Prediction
Specialized Numerical Weather Prediction
NWP for Surface Transportation & Renewable Energy Forecasting
Contact
Sue Ellen Haupt
Senior Scientist, Deputy Director Research Applications Laboratory