2. Improve mesoscale model forecasts and satellite-based retrievals of convective properties.
3. Improve forecast models through rapid-update assimilation of lightning data.
4. Examine the seasonal to inter-annual variability of storms.
For operations and applications, the GLM will contribute to:
· Predicting the onset of microbursts, hail and tornadoes. · Tracking thunderstorms and providing warnings of approaching lightning threats. · Improving airline routing around thunderstorms, improving safety, saving fuel and reducing delays. · Providing real-time weather data, improving efficiency of emergency management. · Locating lightning strikes known to cause forest fires and reducing response times · Assessing the role of thunderstorms and deep convection in global climate · Providing a new data source to improve air quality / chemistry forecasts
Using the present conceptual design, the GLM should be able to detect over 90% of the total lightning that occurs within its field of view during the day and night. It will be able to geolocate each lightning to a specific cell with timing resolution of two milliseconds. It will sample each location within its field of view continuously and distribute the lightning data in near real-time with less than one minute latency.
This presentation will discuss the physical characteristics of a conceptual GLM, describe the anticipated performance capabilities and address some of the scientific and operational capabilities that could be realized with a GLM. In addition, results from two low earth orbiting lightning sensors that use similar technology will be presented.