GOES - Satellite Training and Operations Resources (STOR)
GOES Quick Briefs
Note: Links will become active once briefs are populated.
RGB Quick Briefs
Name | Download | Red | Green | Blue | Common Uses |
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Ash | Download Version | 12.3 - 10.3 µm | 11.2 - 8.4 µm | 10.3 µm | Identify and monitor for ash and sulfur dioxide gas from volcanic eruptions. |
Air Mass | Download Version | 6.2 - 7.3 µm | 9.6 - 10.3 µm | 6.2 µm (inverted) | Identifying air masses, inferring cyclogenesis |
Day Convection | Download Version | 6.2 - 7.3 µm | 3.9 - 10.3 µm | 1.6 - 0.64 µm | Identify intense vs. weak/mature updrafts |
Day Land Cloud | Download Version | 1.6 µm | 0.86 µm | 0.64 µm | Identify surface features (inc. fire hotspots), high vs. low clouds, snow |
Day Land Cloud Fire | Download Version | 2.2 µm | 0.86 µm | 0.64 µm | Identify surface features, high vs. low clouds, snow |
Differential Water Vapor | 7.3 - 6.2 µm (inverted) | 7.3 µm (inverted) | 6.2 µm (inverted) | Analyze water vapor distribution, depth of moisture, trough/ridge patterns | |
Dust | Download Version | 12.3 - 10.3 µm | 11.2 - 8.4 µm | 10.3 µm | Identifying dust |
Fire Temperature | Download Version | 3.9 µm | 2.2 µm | 1.6 µm | Assess more intense vs. less intense fires |
Nighttime Microphysics | Download Version | 12.4 - 10.4 µm | 10.3 - 3.9 µm | 10.3 µm | Identify high clouds vs. low clouds vs. fog at night |
Simple Water Vapor | 10.35 µm (inverted) | 6.19 µm (inverted) | 7.34 µm (inverted) |
Assess distribution of moisture |
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CIMSS Natural True Color |
0.64 µm |
0.45* (0.64 µm) 0.1*(0.86 µm) 0.45*(0.47 µm) |
0.47 µm |
True color gives an image the approximate look as one would see from space.
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Day Cloud Convection | Download Version | 0.64µm | 0.64 µm | 10.3 µm | Helps to distinguish between high and low clouds and can help reveal wind shear when animated. |
Day Cloud Phase Distinction | 10.3 µm | 0.64 µm | 1.6 µm | This RGB is used to evaluate the phase of cooling cloud tops to monitor convective initiation, storm growth, and decay. | |
Day Snow Fog | Download Version | 0.86 µm | 1.6 µm | 3.9 - 10.3 µm | The channels which bring out the distinguishing differences are combined in the Day Snow-Fog RGB to show greater contrast between snow and cloud. |
GLM Quick Briefs
Name | Download | Common Uses |
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GLM Definitions and Detection Methods | Download Version | The GLM creates background images every 2.5 minutes, then images 500 frames per second to detect changes in brightness relative to the background image. Individual pixels that are illuminated above the background threshold during a 2 ms frame are termed GLM events, filters then determine the likelihood that these events are real lightning. |
GLM Data Quality | Download Version | Issues described include geospatial considerations and false events. |
GLM Flash Extent Density (Gridded Products) | Download Version | Flash extent density (FED), the number of flashes that occur within a grid cell over a given period of time, is the first NWS gridded GLM product. |
GLM AFA and TOE (Gridded Products) |
Average flash area (AFA) is the average area of all GLM flashes spatially coincident with each 2×2 km grid cell during a specified time period. Total optical energy (TOE) is the sum of all optical energy that the GLM observes within each grid cell during a specified time period. |
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GLM and Ground Networks | Download Version | This quick brief highlights the differences between GLM and the ground-based lightning networks and describes the advantages of each. It also briefly discusses parallax with the GLM observations. |
GLM Applications Overview | Download Version | This provides a brief overview of how the initial GLM flash extent density product can be used for severe weather decision support and lightning safety. |
Channel Difference Quick Briefs
Name | Download | Channel Difference | Common Uses |
---|---|---|---|
Night Fog | Download Version | 10.3 - 3.9 µm | Identify clouds made up of small water droplets (e.g., fog/stratus) |
Split Window Difference | Download Version | 10.3 - 12.3 µm | Identify gradients in moisture, regions of low-level dust |
Split Cloud Phase | Download Version | 8.5-11.2 µm |
Differentiate cloud size particles |
Split Water Vapor Difference | Download Version | 6.2-7.3 µm | The band difference give an approximation of the concentration and distribution of Water Vapor |
Split Snow | 1.6-0.64 µm | Highlights regions where ice is present |
Baseline Product Quick Briefs
Name | Download | Common Uses |
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Cloud Phase | Describes the cloud-top composition. | |
Fire Detection and Characterization Algorithm | Download Version | Describes the Fire Detection and Characterization Algorithm (i.e., the GOES-16 Fire Detection product). |
Total Precipitable Water | Discusses the GOES TPW product and shows one application. | |
Sea Surface Temperature | Download Version | Describes the SST product while showing multiple examples. |
Legacy Vertical Profiles | Legacy Vertical Profiles show GFS information that has been adjusted based on satellite information. | |
Derived Motion Winds | Download Version |
Derived Motion Wind Vectors are produced using sequential ABI images. They can provide important information about winds at different levels during asynoptic times. |