Introduction

Picture of GOES-R and its instruments in space.

The Geostationary Lightning Mapper (GLM) on the GOES-R satellite series is the first operational lightning detector in geostationary orbit. The GLM continuously measures all lightning activity across most of the Western Hemisphere in real time. These observations are collected 24 hours a day with near-uniform, thunderstorm-scale resolution. For more information about the GLM and its capabilities, see the following COMET MetEd resources:

Geostationary Lightning Mapper combined coverage from GOES-West and GOES-East satellite locations.

Question

GLM provides users with continuous lightning observations. How are these data advantageous to weather forecasting and communication? Choose all that apply.

The correct answers are a, c, d.

The GLM data can help improve nowcasts and warnings of thunderstorms, lightning activity, hail, damaging winds, flash floods, and tornadoes. Gathered across large geographical regions, the lightning data will provide vital information to weather-sensitive communities and industries.

Option (b) is incorrect because the GLM has at least 70% detection efficiency during both day and night, and a low 5% false detection rate. Although the GLM provides measurements of total lightning activity (intra-cloud, inter-cloud, and cloud-to-ground flashes), it cannot distinguish between the flash types, making option (e) incorrect.

Please make a selection.
A meteorologist monitors a severe weather outbreak.

A meteorologist monitors a severe weather outbreak.

The GLM’s continuous observation feed is beneficial to severe weather forecasting and decision-making. A weather forecaster continuously monitors the weather, adjusts his or her forecast to reduce uncertainties, and considers other factors that may increase the significance of the expected weather. This process of monitoring information and adjusting one’s perspective is known as situational awareness. In this lesson, we will explore how GLM observations can be used to build situational awareness during a past severe weather event near Buenos Aires in Argentina. Throughout these exercises, we will learn how GLM observations can be used: to provide initial indications of cloud electrification, be used with other convective-monitoring tools to assess tendencies in storm strength, and to suggest the potential for severe weather. This information can improve our understanding of the severe weather event and highlight the value of GLM data in nowcasting.

Let’s begin by taking a look at the weather across South America prior to the severe weather event.

Weather Synopsis

500 hPa

500 mb observations and analysis across South America valid 1200 UTC on 17 March 2018.

850 hPa

850 mb observations and analysis across South America valid 1200 UTC on 17 March 2018.

Nephanalysis

A nephanalysis valid 1200 UTC on 17 March 2018.

A 500 hPa trough is moving into southern Chile and Argentina in South America. Meanwhile, a ridge extends off the coast of Uruguay and Brazil. An anticyclone is located offshore of Buenos Aires, and a cyclone is located farther south and west of the city.

Question

Review the nephanalysis above. What types of clouds are present at 1200 UTC in the Buenos Aires area? Choose all that apply.

The correct answers are a, b, d.

Cumulus, stratocumulus, and stratus clouds are in the Buenos Aires area. Cumuliform clouds suggest vertical motions taking place in the atmosphere. We will monitor this area for the potential of further cumulus development.

Please make a selection.
Upper-air sounding for Ezeiza International Airport in Argentina valid 1200 UTC on 17 March 2018.

Upper-air sounding for Ezeiza International Airport in Argentina valid 1200 UTC on 17 March 2018.

The 1200 UTC sounding above is taken from the Ezeiza International Airport near Buenos Aires, Argentina. At this time, the low-level temperature profile is moist neutral, with a capping inversion aloft. However, the cumulus field suggests that vertical mixing is taking place. This mixing, along with expected surface heating as the day progresses, should destabilize the atmosphere, and lead to significant Convective Available Potential Energy (CAPE - an important measure of potential thunderstorm intensity). The sounding also shows abundant moisture and vertical wind shear that will help organize any subsequent convection. If severe convection occurs, the counter-clockwise turning of the winds with height produces shear that favors left-moving supercells.

Pre-Storm Environment

Now, we are going to look at satellite and radar observations to see what happens in the Buenos Aires area during the early afternoon hours (1500 - 1900 UTC 17 March).

IR

GOES-16 infrared satellite imagery from 1500 UTC to 1900 UTC on 17 March 2018.

VIS

GOES-16 visible satellite imagery from 1500 UTC to 1900 UTC on 17 March 2018.

Day Convection

GOES-16 Day Convection RGB satellite imagery from 1500 UTC to 1900 UTC on 17 March 2018.

GLM Group Density

GLM group density from 1811 UTC to 1901 UTC on 17 March 2018.

Composite Radar

Radar composite reflectivity from 1503 UTC to 1859 UTC on 17 March 2018.

Question 1 of 2

On the visible satellite image below:

  • use the red pen to outline the area encompassing the gravity wave
  • use the green pen to outline areas of wind-parallel cumulus streets
  • use the yellow pen to outline the convergence line or boundary with active convection
  • use the blue pen to outline the area of cumulus congestus

You can view the additional satellite and radar data loops above to help in your analysis.

GOES-16 visible satellite imagery at 1800 UTC on 17 March 2018 with features annotated.

Compare your analysis to the expert analysis. Low-level cloud streets further north from Buenos Aires are a result of northerly winds. These northerly winds are associated with the South American low-level jet that transports tropical moisture south, favoring the development of organized convection across southeastern South America. A convergence line moving south and away from the Buenos Aires area is generating thunderstorms. A gravity wave is moving northeast towards Buenos Aires, where cumulus congestus develops upon its passage.

Let’s take a closer look at the area of developing cumulus congestus northwest of Buenos Aires one hour later. Review the satellite and radar observations in the tabs below and answer the following question. (Note: GLM observations are based on a group centroid density within a ~10-km grid box and a 5-minute time accumulation).

IR

GOES-16 infrared satellite imagery at 1900 UTC on 17 March 2018.

GLM Group Density

GLM group density image at 1901 UTC on 17 March 2018.

Composite Radar

Radar composite reflectivity at 1859 UTC on 17 March 2018.

Question 2 of 2

What additional activity is occurring within the area of current cumulus congestus? Choose all that apply.

The correct answers are b, e.

Within the area of cumulus congestus, we do not see vigorous convection associated with cold cloud top temperatures or active lightning detections in the GLM display. Rather, we notice that there is shallow precipitation to the northwest of Buenos Aires, and no lightning detected by the GLM instrument. We will continue to monitor the Buenos Aires area and see how the cumulus congestus northwest of Buenos Aires evolves over the next few hours.

Please make a selection.

Convective Activity

Rapidly-updating data from the GLM instrument can provide us with valuable information regarding convective storm development and evolution. To see this in practice, let’s look at satellite and radar observations further into the afternoon period (1900 - 2130 UTC 17 March) to see how the cumulus congestus field near Buenos Aires has progressed.

IR

GOES-16 infrared satellite imagery from 1900 UTC to 2130 UTC on 17 March 2018.

VIS

GOES-16 visible satellite imagery from 1900 UTC to 2130 UTC on 17 March 2018.

Day Convection

GOES-16 Day Convection RGB satellite imagery from 1900 UTC to 2130 UTC on 17 March 2018.

GLM Group Density

GLM group density from 1901 UTC to 2131 UTC on 17 March 2018.

Composite Radar

Radar composite reflectivity from 1503 UTC to 2129 UTC on 17 March 2018.

Convective Activity » Storm Progression

Near Buenos Aires, we can see the progression in storm intensity in the radar data loop below. Thunderstorms began to develop west of Buenos Aires around 2000 UTC. Southwest of the city, a large storm cell begins to intensify and split. The left moving cell becomes the dominant storm in the area, while the right moving cell quickly dissipates. A weather warning is issued at 2123 UTC (1823 Local Time). The main storm cell is capable of producing strong winds and hail.

Composite Reflectivity

Radar composite reflectivity from 1503 UTC to 2129 UTC on 17 March 2018.

Weather Warning

A weather warning issued by the Servicio Meteorológico Nacional at 1823 Local Time (2123 UTC) on 17 March 2018.

A weather warning issued by the Servicio Meteorológico Nacional at 1823 Local Time (2123 UTC) on 17 March 2018.

Let’s continue to monitor how the severe thunderstorm evolves over the next few hours.

Severe Weather Event

A weather warning issued by the Servicio Meteorológico Nacional at 1901 Local Time (2201 UTC) on 17 March 2018.

A weather warning issued by the Servicio Meteorológico Nacional at 1901 Local Time (2201 UTC) on 17 March 2018.


A second weather warning is issued at 2201 UTC as the main storm cell continues to pose the risk for strong winds, heavy rainfall, and hail.

Can the GLM help refine our understanding of the severe weather threat for the Buenos Aires area? Let’s look at satellite and radar observations into the early evening period (1900 UTC 17 March - 0000 UTC 18 March).


IR

GOES-16 infrared satellite imagery from 1900 UTC to 2345 UTC March 2018.

VIS

GOES-16 visible satellite imagery from 1900 UTC to 2345 UTC on 17 March 2018.

Day Convection

GOES-16 Day Convection RGB satellite imagery from 1900 UTC to 2345 UTC on 17 March 2018.

GLM Group Density

GLM group density from 1901 UTC 17 March to 0001 UTC on 18 March 2018.

Composite Radar

Radar composite reflectivity from 1859 UTC to 2357 UTC on 17 March 2018.

Post-Severe Weather Event

Let’s take a look at satellite and radar observations into the night (0000 - 0300 UTC 18 March) to see how the storm changes after the tornado report.

IR

GOES-16 infrared satellite imagery from 2345 UTC 17 March to 0300 UTC 18 March 2018.

GLM Group Density

GLM group density from 0001 UTC to 0256 UTC 18 March 2018.

Question 1

Review the infrared satellite and GLM loop. Which of the following statements best describes the activity you see in the satellite data? Choose all that apply.

The correct answers are a, c, e.

Continue to the next question.

Please make a selection.

Question 2

What do the trends in the satellite data tell us about the behavior of the storm? Choose the best answer.

The correct answer is c.

Overall, the lightning activity steadies with time in the GLM, and the infrared satellite imagery shows a warming in the cloud top temperatures and a dissolving enhanced-V and overshooting top signature. These factors indicate that the convection is weakening. The main storm eventually converges with other storms from the north, transitioning into a larger MCS structure.

Please make a selection.

Summary

Lightning in Montevideo, Uruguay.

Lightning in Montevideo, Uruguay.

The GLM's continuous lightning monitoring capability will give forecasters a new tool for identifying, monitoring, and tracking developing thunderstorms 24 hours a day.

GLM observations allow forecasters to build situational awareness of a convective event by monitoring lightning flash rates and trends for individual storm cells. In this lesson we used GLM group density lightning detections to identify initial thunderstorm development near Buenos Aires and determine trends in storm intensity. Upward trends in GLM group density observations revealed a strengthening storm updraft. We were able to confirm this strengthening by analyzing increased depth and texture of the clouds, cooling cloud top temperatures, and other signatures of severe convection (such as enhanced-V, cold rings, and overshooting tops) in other satellite data.

GLM observations can complement other data sources, and is especially helpful in improving convective understanding in areas without radar coverage. The GLM instrument delivers the following:

  • provides important trend information between radar scans (and between the 15-minute ABI updates),
  • can indicate strong convection prior to a significant radar reflectivity signature (e.g. >~30 dBZ),
  • is not affected by range-related detection efficiency degradation as does ground-based lightning detection,
  • supplement other updraft strength indicators in satellite data (e.g. enhanced-V signatures, cold cloud top temperatures), and
  • can alert users of imminent severe weather impacts by observing significant increases in lightning activity.

GLM observations combined with a forecaster's own experience and understanding of the local weather will benefit forecast operations and severe weather decision support efforts.

References

Geostationary Lightning Mapper Quick Guides:

  1. Definitions and Detection Methods
  2. Gridded Products - Flash Extent Density
  3. Data Quality
  4. Gridded Products - Average Flash Rate and Total Optical Energy
  5. GLM Full Disk Gridded Products

Geostationary Lightning Mapper Quick Briefs (.mp4):

  1. GLM Definitions and Detection Methods
  2. GLM Gridded Products
  3. GLM Data Quality
  4. GLM Average Flash Area and Total Optical Energy
  5. GLM Applications Overview

COMET MetEd Lesson - NWS Satellite Foundational Course for GOES-R: Introduction to the GLM

COMET MetEd Recording- GOES-R Series Faculty Virtual Course: Geostationary Lightning Mapper

COMET MetEd Lesson - GOES-R GLM: Introduction to the Geostationary Lightning Mapper

RAMMB CIRA Virtual Institute for Satellite Integration Training (VISIT) Quick Guides

Contributors

COMET Sponsors

MetEd and the COMET® Program are a part of the University Corporation for Atmospheric Research's (UCAR's) Community Programs (UCP) and are sponsored by

To learn more about us, please visit the COMET website.

Project Contributors

Project Lead
  • Vanessa Vincente — UCAR/COMET
Instructional Design
  • Andrea Smith — UCAR/COMET
Science Advisors
  • Patrick Dills — UCAR/COMET
  • Luciano Vidal — Servicio Meteorológico Nacional, Argentina
  • Paola Salio — University of Buenos Aires, Argentina
  • Martín Rugna — Servicio Meteorológico Nacional, Argentina
  • María Paula Hobouchian — Servicio Meteorológico Nacional, Argentina
Additional Contributors
  • Steve Goodman — NOAA/NESDIS
  • Jim Gurka — University of Maryland/CICS
  • Maria Ines Campos — Servicio Meteorológico Nacional, Argentina
  • Scott Rudlosky — University of Maryland/CICS
Program Oversight
  • Amy Stevermer — UCAR/COMET
Graphics/Animations
  • Steve Deyo — UCAR/COMET
Multimedia Authoring/Interface Design
  • Gary Pacheco — UCAR/COMET

COMET Staff, September 2018

Director's Office
  • Dr. Elizabeth Mulvihill Page, Director
  • Tim Alberta, Assistant Director Operations and IT
  • Paul Kucera, Assistant Director International Programs
Business Administration
  • Lorrie Alberta, Administrator
  • Auliya McCauley-Hartner, Administrative Assistant
  • Tara Torres, Program Coordinator
IT Services
  • Bob Bubon, Systems Administrator
  • Joshua Hepp, Student Assistant
  • Joey Rener, Software Engineer
  • Malte Winkler, Software Engineer
Instructional Services
  • Dr. Alan Bol, Scientist/Instructional Designer
  • Sarah Ross-Lazarov, Instructional Designer
  • Tsvetomir Ross-Lazarov, Instructional Designer
International Programs
  • Rosario Alfaro Ocampo, Translator/Meteorologist
  • David Russi, Translations Coordinator
  • Martin Steinson, Project Manager
Production and Media Services
  • Steve Deyo, Graphic and 3D Designer
  • Dolores Kiessling, Software Engineer
  • Gary Pacheco, Web Designer and Developer
  • Sylvia Quesada, Production Assistant
Science Group
  • Dr. William Bua, Meteorologist
  • Patrick Dills, Meteorologist
  • Bryan Guarente, Instructional Designer/Meteorologist
  • Matthew Kelsch, Hydrometeorologist
  • Erin Regan, Student Assistant
  • Andrea Smith, Meteorologist
  • Amy Stevermer, Meteorologist
  • Vanessa Vincente, Meteorologist

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