Wind Energy: GNSS-RO data provides high-resolution atmospheric profiles, including temperature, enabling more accurate forecasts of wind speed/direction, and ultimately, turbine output. This helps optimize operations, predict power generation, and guide power trading decisions.
Solar Energy: GNSS-RO data improves surface solar irradiance forecasts by improving weather forecasts that predict key conditions such as cloud cover and temperature, allowing for better integration with other energy sources and more efficient power grid management.
Power Grid Optimization: Accurate forecasts of wind and solar generation support smarter resource allocation and optimized energy dispatch, boosting overall power grid efficiency.
Energy Demand Forecasting: Temperature is one of the strongest drivers of electricity demand. GNSS-RO data improves temperature forecasts, helping utilities anticipate heating and cooling load, plan generation capacity, and reduce the risk of costly supply-demand imbalances. Freeze events have also shown to be a disruptor to the power grid.
Grid Resilience & Severe Weather: GNSS-RO data enhances forecasting of severe weather events, including storms, hurricanes, as well as extreme cold and heat, that threaten transmission lines, substations, and other grid infrastructure. Earlier and more accurate warnings give utilities more time to prepare, harden infrastructure, and reduce outage risk.
Offshore Wind & Energy Operations: For offshore wind farms and other operations exposed to marine conditions, GNSS-RO data improves forecasts of lower tropospheric conditions, supporting safer operations and more reliable planning around weather-dependent maintenance and logistics.
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