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GeoXO Lightning Mapper (LMX)

NOAA plans to include a lightning mapper as part of the GeoXO system, pending final program approval. The GeoXO Lightning Mapper (LMX) would be a single-channel, near-infrared optical detector used to detect, locate, and measure  the intensity, duration, and extent of lightning flashes. LMX would continue critical observations provided by the GOES-R Series Geostationary Lightning Mapper (GLM) and potentially improve its resolution. Lightning mapping from geostationary orbit improves severe storm analysis and increases lead time to detect tornado formation. The GLM also improves lightning hazard detection, hurricane intensity prediction, wildfire detection and response, precipitation estimation, and aviation hazard mitigation.

Geostationary lightning data is available where other sources are more limited, especially over oceans and in mountainous and rural areas. The data updates faster than local radar and also fills in radar coverage gaps. Lightning is an essential climate variable needed to understand and predict changes in climate. Continuing GLM observations with LMX would contribute to long-term records to track decadal changes in lightning activity. 

Improvements Over Current Capabilities

Although the core capabilities would be similar for the GLM and LMX, several performance improvements are under consideration. These potential LMX improvements are motivated by current GLM users, and include finer spatial and temporal resolution, and an expanded field of view further north to include Alaska. Additional improvements would be realized through advancements in the technology being used to design and eventually build the LMX. One key difference would be the planned use of more modern CMOS (Complementary Metal-Oxide Semiconductor) imaging sensors rather than the CCD (Charge Coupled Device) sensors used on GLM.     

Benefits of a Geostationary Lightning Mapper

LMX observations would continue the capabilities GLM offers by supporting persistent severe weather observations of the Western Hemisphere and providing essential forecast information for public safety and efficient economic activity across multiple sectors. During ground radar outages LMX, like GLM, would also provide crucial coverage acting as a substitute for any heavily damaged radar during disasters like hurricanes. 

Warmer colors in the flash extent density indicate the most frequent GLM flashes, with the most strikes typically collocated with severe thunderstorm (yellow) and tornado (red) warning polygons. When used in conjunction with radar data, these lightning trends allow forecasters to make warning decisions earlier and more confidently. Credit: NOAA

Severe Weather Forecasting and Warning

Severe storms and associated hazards have cost the United States more than 228 billion dollars in the last 20 years. Rapid increases in total lightning activity often precede severe and tornadic thunderstorms. Characterizing lightning activity in storms allows forecasters to identify intensifying storms before they produce damaging winds, hail or tornadoes. LMX data would allow forecasters to detect electrically active storms, determine the extent of the lightning threat, identify strengthening and weakening storms, monitor storm evolution, and supplement radar data where coverage is poor. Integrating GLM data into the severe weather warning process also leads to fewer false alarms, especially during radar outages and in regions with poor radar coverage.

LMX observations would also contribute to satellite precipitation estimates, benefiting flash flood forecasting in significant portions of the western continental U.S., Hawaii, and U.S. territorial islands that lack adequate radar coverage.

Hurricane Analysis and Forecasting

LMX data would be used to assess hurricanes, particularly for forecasting intensity changes, monitoring convective patterns beneath the cloud tops, and helping establish location. LMX data would help to diagnose hurricane structure and evolution and aid forecasts of intensity change including rapid intensification. Several studies noted a relationship between increased inner-core or rainband lightning activity and a change in the intensity of a hurricane. In some cases, lightning bursts preceded rapid intensification. 

GOES-16 Advanced Baseline Imager imagery with Geostationary Lightning Mapper overlay shows lightning activity within Hurricane Ida on Aug. 29, 2021. Credit: NOAA

Wildfire Applications

Image of a volcano exploding
Wildfires can make their own weather: A pyrocumulonimbus cloud develops above the Oregon Gulch fire in 2014 as an Air National Guard plane flies past (foreground). Credit: James Haseltine/Oregon Air National Guard

Lightning-initiated wildfires account for more than half of the acreage burned in the continental United States. Many lightning-ignited fires occur in less populated areas, resulting in delayed detection and suppression. 

Early Detection of Lightning-Ignited Wildfires

LMX would monitor vast areas to identify the sustained “continuing current” lightning flashes most likely to ignite fires. In continuing current strikes, rather than a lightning charge flowing in one or more separate return strokes, the charge flows continuously over a longer period  through the lightning channel. This would enable emergency personnel to find small and even smoldering fires before they grow, reducing forest and property loss, lowering firefighting costs, and improving air quality.

Improving Safety and Effectiveness of Wildfire Response

Mapping potential fire starts and identifying smaller fires before they grow benefits firefighting efforts and mitigates loss of life and property. Also, intense fires can produce large plumes of heat and smoke that can generate lightning and ignite additional fires. LMX would help characterize these pyrocumulonimbus clouds that threaten firefighters by spawning erratic winds and severe weather near wildfires.

Climate Applications

Image of lightning in the sky
Lightning over the skies of Oklahoma in 2009. Credit: Sean Waugh/NOAA/NSSL/NOAA Photo Library

Lightning data is critical to understanding and predicting changes in climate. The occurrence, distribution, and variability of lightning and thunderstorms around the globe are closely linked to Earth’s climate. A close link between lightning and convective cloud properties makes it an essential indicator of inter-annual to decadal changes in lightning activity and observing changes in climate and extreme storms.

Lightning is also a key variable for validating climate models. The NASA Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) has predicted an increase in lightning activity as a result of a warmer climate, making it a good target variable for climate model validation.

Improved Air Quality Forecasts

Lightning is a major natural source of nitrogen oxides (NOx), an important greenhouse gas that affects the global climate directly. LMX would continue GLM’s capability to probe lightning/climate inter-relationships and improve air quality forecasts. In particular, LMX would be used to estimate lightning nitrogen oxides (LNOx) since trace quantities of NOx affect greenhouse gas concentrations (e.g., ozone). 

Lightning Climatology

LMX would build upon two decades of GLM observations and better characterize the lightning climatology throughout the field of view. This helps establish a climatological baseline and diagnose changes from that.

Public Safety and Aviation Hazards

Image of lightning over the United States.
Lightning as seen from the Geostationary Lightning Mapper on NOAA's GOES-16 satellite from April 29, 2020. One of the lightning flashes within this thunderstorm complex was found by the World Meteorological Organization to be the longest flash on record that covered a horizontal distance of 477 miles. Credit: NOAA

LMX would build upon GLM applications to enhance public safety across broad segments of society.

Public Safety

Lightning is a significant threat to life and property, and is particularly hazardous for those working outdoors and participating in recreational activities, and for the transportation industry. LMX data would provide awareness of local lightning conditions and promote better lightning safety decisions, leading to fewer lightning-related injuries and deaths. 

In large, long-lived storm systems, lightning may travel hundreds of miles before striking the ground. LMX would show forecasters areas far from the main line of storms where the risk of lightning strikes to the ground presents a public safety hazard.

Benefits to the Aviation Industry

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Aviation Hazards. Credit: NOAA

LMX data would benefit the airline industry by mitigating aviation hazards and reducing weather-related costs. LMX would support the safety and efficiency of both ramp operations and airplanes en route (and on approach). LMX can provide tremendous cost savings to the aviation industry through improved diagnosis and avoidance of thunderstorm hazards, especially over oceans. LMX would contribute to the reduction of aircraft lightning strikes by identifying electrified cloud regions that are not well-characterized by ground-based systems. LMX can also contribute to cost savings through reduced fuel burn and fewer delays and diversions.

Forensics Investigations 

LMX would help authorities and insurance companies determine the existence of convection during investigations of fire cause as well as whether lightning caused a power outage or injury in remote areas. LMX data would also be used to prove the existence of convection that could be associated with high thunderstorm winds, hail, or tornadoes. LMX would provide information about the timing and intensity of lightning in the area

Environmental Hazards 

LMX would also identify potentially catastrophic non-weather events such as meteors entering Earth’s atmosphere and lightning accompanying explosive volcanic eruptions. 

LMX Value Assessment Report

Learn more about the benefits of geostationary lightning mapping observations in NOAA’s Technical Report: Geostationary Lightning Mapper Value Assessment

LMX Status

On April 20, 2022, NASA selected Northrop Grumman Corporation System Sector of Azusa, California, and Lockheed Martin Corporation of Littleton, Colorado, to conduct LMX Phase A Studies. Each company is conducting a twenty-month definition-phase study of a geostationary lightning mapper instrument.