GSL develops tools and applications that support data delivery and decision-making. Some of the tools are developed for specific customers such as the NWS or FAA so they are not available to the public. However, sometimes we are able to make these tools available even though they are still experimental and not yet ready for operations. This means the tools are not monitored 24/7 and may experience outages.
GSL explores and applies new technologies and methodologies in computing, modeling, visualization, data access and delivery to advance NOAA’s earth system prediction and decision support capabilities
These tools measure forecast performance and impacts on air traffic management decisions to support the Federal Aviation Administration (FAA) and the National Weather Service (NWS). The results help these clients evaluate and improve the quality of their operational products and provide performance baselines.
Developing forecasts, observations of wind and solar resources, and tools to improve the efficiency and sustainability of the energy system through better understanding and modeling.
GSL develops state-of-the-art environmental forecast, decision support, visualization, and evaluation capabilities to provide scientifically robust forecast assessment tools, concepts, and analyses to support the weather decision-making process.
GSL develops models that predict the behavior of the Earth system, including weather and air chemistry. GSL has both operational and experimental model links on the website. Experimental models may experience outages and are not monitored 24/7.
GSL is part of this ongoing unification effort to move from the existing NOAA Earth system prediction systems to the
Unified Forecast System (UFS) on global to local scales.
Air Chemistry and Smoke
Real-time Mesoscale Analysis
GSL research focuses on atmospheric chemistry, atmospheric physics, and developing models that predict smoke from wildfires. Future research will involve predicting fire behavior and developing decision support criteria.