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GOES S edit:

The instrument suite of GOES-17 is similar to that of GOES-16. It includes^[1]:

Built by Harris ^[2] for the GOES - R line of Satellites. The imaging capabilities of the ABI is superior to previous imagers in several ways:

This instrument has 16 bands (Over the last GOES Imager, which only had 5 bands^[3]):

2 Visible Bands:

• Band 1: 0.45 - 0.49 μm ("Blue")
• Band 2: 0.60 - 0.68 μm ("Red")

4 Near IR Bands:

• Band 3: 0.847 - 0.882 μm
• Band 4: 1.366 - 1.380 μm
• Band 5: 1.59 - 1.63 μm
• Band 6: 2.22 - 2.27 μm

10 other Infrared Bands:

• Band 7: 3.80 - 3.99 μm
• Band 8: 5.79 - 6.59 μm
• Band 9: 6.72 - 7.14 μm
• Band 10: 7.24 - 7.43 μm
• Band 11: 8.23 - 8.66 μm
• Band 12: 9.42 - 9.80 μm
• Band 13: 10.18 - 10.48 μm
• Band 14: 10.82 - 11.60 μm
• Band 15: 11.83 - 12.75 μm
• Band 16: 12.99 - 13.56 μm

This changes depending on the type of image.

• Imaging of entire western hemisphere occurs every 5 to 15 minutes, while previously this was a scheduled event, with at most three photos per hour. ^[4]
• Imaging of the continental United States once every 5 minutes, compared to one every 15 minutes in previous satellites
• One detailed image over some 1000 by 1000 km box every thirty seconds, a capability previous imagers did not have

Spatial resoltuion depends on what band is being used. Band 2 has a spatial resolution of 500 meters Bands 1,3,4,5 and 6 have spatial resolutions of 1 km All other bands have spatial resolutions of 2 km

This instrument is used for measuring lightning (in-cloud and cloud-to-ground) activity. To do this, it considers a single channel in the NIR (777.4 nm) constantly, even during the day, to catch flashes from lightning.

The sensor has a 1372 by 1300 pixel CCD, with an 8-14 km spatial resolution (with the resolution decreasing near the edges of the FOV). The GLM has a frame rate of 2 milliseconds, meaning it considers the entire study area 500 times every second.^[5].

This instrument can keep track of lightning occurrences. This has been found to correlate with severe storms ^[6]. Therefore, the GLM can be used to predict devastating storms such as tornado's early in their development, as well as keep track of all lightning producing weather patterns in its viewing area. With this, it can improve routing of aircraft around storms, improve weather models, and predict heavy rainfall.^[7][8]

• Solar Ultraviolet Imager (SUVI) for observing coronal holes, solar flares and coronal mass ejection source regions
• Extreme Ultraviolet and X-Ray Irradiance Sensors (EXIS) for monitoring solar irradiance in the upper atmosphere

• Space Environment In-Situ Suite (SEISS) for monitoring proton, electron and heavy ion fluxes at geosynchronous orbit
• Magnetometer (MAG) for the space environment magnetic field that controls charged particle dynamics in the outer region of the magnetosphere

• The Geostationary Search and Rescue (GEOS&R) for relaying distress signals from users in difficulty to search and rescue centers

• Data Collection and Interrogation Service (DCIS) for data collection from in-situ Data Collection Platforms

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