The Geostationary Operational Environmental Satellite-R (GOES-R) series of NOAA geostationary weather satellites represents a significant advancement in earth observation over previous NOAA geostationary weather satellites. The Advanced Baseline Imager (ABI) provides 5x the temporal, 4x the spatial, and 3x the spectral resolution over the previous GOES Imager. Additionally, the Geostationary Lightning Mapper (GLM) captures total lightning information across much of the hemisphere, a new capability of GOES satellites. These advancements have resulted in more timely and accurate weather forecasts and Decision Support Services for a variety of meteorological phenomena that directly affect public safety, protection of property, and economic health and development.
GOES-R, the first satellite in the GOES-R series, launched into orbit on 18 November 2016, becoming GOES-16, and ultimately the operational GOES-East satellite on 18 December 2017. The second satellite in the GOES-R series, GOES-S, launched on 01 March 2018, becoming GOES-17, and finally the operational GOES-West satellite on 12 February 2019. GOES-T and GOES-U will launch in the early-to-mid 2020s, to round out the series. The ABI and GLM instruments will have similar capabilities across all four of the GOES-R series satellites.
For detailed information on GOES-R see the GOES-R Program Office homepage at http://www.goes-r.gov/
The follow-on program to GOES-R, Geostationary Extended Observations (GeoXO) is well into the planning stages, and will provide a continuation and expansion of GOES-R series satellite observations. More information on GeoXO can be found at: https://www.nesdis.noaa.gov/GeoXO
Examples of Products Generated at CIRA/RAMMB and Applied to GOES-R
|DEBRA-Dust Product||Snow/Cloud Product||Geocolor Product|
Below is a listing of GOES imagery products generated and distributed by CIRA/RAMMB, including information about the product and data access
A list of journal articles specifically discussing GOES-R ABI imagery and direct imagery applications. A more comprehensive list of GOES-R related publications can be found here.
|Ground-Based Corroboration of GOES-17 Fire Detection Capabilities During Ignition of the Kincade Fire.||Lindley et al. 2020|
|Application of the GOES-16 Advanced Baseline Imager: Morphology of a Preconvective Environment on 17 April 2019||Grasso et al. 2020|
|GOES-16 Observations of Blowing Snow in Horizontal Convective Rolls on 24 February 2019||Kennedy and Jones, 2020|
|Introducing Lightning Threat Messaging Using the GOES-16 Day Cloud Phase Distinction RGB Composite||Elsenheimer and Gravelle, 2019|
|The Above-Anvil Cirrus Plume: An Important Severe Weather Indicator in Visible and Infrared Satellite Imagery||Bedka et al. 2018|
|Applications of the 16 Spectral Bands on the Advanced Baseline Imager (ABI)||Schmit et al. 2018|
|Using the GOES-16 Split Window Difference to Detect a Boundary prior to Cloud Formation||Lindsey et al. 2018|
|A Closer Look at the ABI on the GOES-R Series||Schmit et al. 2017|
|Wildfire Detection Notifications for Impact-Based Decision Support Services in Oklahoma Using Geostationary Super Rapid Scan Satellite Imagery||Lindley et al. 2016|
|Use of Geostationary Super Rapid Scan Satellite Imagery by the Storm Prediction Center||Line et al. 2016|
|Rapid Refresh Information of Significant Events: Preparing Users for the Next Generation of Geostationary Operational Satellites||Schmit et al. 2015|
|Geostationary Operational Environmental Satellite (GOES)-14 super rapid scan operations to prepare for GOES-R||Schmit et al. 2013|
|The GOES-R Proving Ground: Accelerating User Readiness for the Next-Generation Geostationary Environmental Satellite System||Goodman et al. 2012|
|Introducing the next-generation Advanced Baseline Imager on GOES-R||Schmit et al. 2005|
|Topic||Key Blog Posts||Training Webinars/Modules|
Using GOES-16 Day Cloud Phase Distinction RGB to Analyze Complex Daytime Cloud and Snow Cover Scenes
Using GOES-16 Nighttime Microphysics RGB for Fog Detection
Texas Supercell 4/8/2021
RGB Applications: Anticipating Convective Initiation Using the Nighttime Microphysics RGB
COMET MetEd – Convective Initiation
COMET MetEd – Convective Maintenance
GOES-16 Tools to Observe and Monitor Fires
East Troublesome Fire Growth 10/21 – GOES and JPSS Imagery
New York Snow Squalls 05 Dec 2019
18 Dec 2019 NY Snow Squall
Snow Squalls in Pennsylvania on 8 January 2020
FDTD Webinar – Snow Squalls
COMET MetEd Module – Snow Squalls
Use of GOES Imagery During Oklahoma Fog Event
VIIRS and ABI Capture Ice vs. Snow and Melting Snow
Why is my GOES-16 Imagery Displaced? Parallax!
Surface Features Displaced In Satellite Imagery at Higher Elevations
Where is the Hot Spot?