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To celebrate the 50th anniversary of the GOES-A launch (GOES-A became GOES-1 on reaching geostationary orbit), this blog post contains one or two satellite animations (or images) for each of the 50 states. More on GOES-1 through GOES-19.
There were experimental geostationary imagers (ATS and SMS) that preceded the first GOES. In fact, what was going to be SMS-3 became GOES-1. Learn more about the the history of GOES in these book chapters (chapter 2 and chapter 1.05: Schmit, T.J., Goodman, S.J., Daniels, J., Rachmeler, L.A., 2026. GOES: Past, Present, and Future. In: Liang, S. (Ed.), Comprehensive Remote Sensing, vol. 1. Elsevier, pp. 126–166. https://dx.doi.org/10.1016/B978-0-443-13220-9.00051-2). More on the history of satellites.

Alabama
1-minute imagery of the GOES-16 Infrared (IR) window loop of severe weather: https://cimss.ssec.wisc.edu/satellite-blog/images/2021/01/210125_goes16_infrared_spcStormReports_AL_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/39747
Alaska
GOES-17 visible band in the Norton Sound: https://cimss.ssec.wisc.edu/satellite-blog/images/2022/02/NORTON_loop_GOES-17_2021149_160059_2021150_015949.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/40991
A low pressure system off the coast via GOES-17 water vapor band: https://cimss.ssec.wisc.edu/satellite-blog/images/2022/01/WV_PAC_loop_GOES-17_2022012_140032_2022013_130032_faster.mp4
Also see this suspended sediment example: https://cimss.ssec.wisc.edu/satellite-blog/archives/66940
Arizona
1-minute Fire Temperature RGB imagery of the Tunnel Fire: https://cimss.ssec.wisc.edu/satellite-blog/images/2022/04/Tunnel_GOES-17_Rad_fire_temperature_abi_2022109_160117_2022111_083035.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/45859
Arkansas
Storms with severe weather reports plotted over a GOES-16 IR window loop: https://cimss.ssec.wisc.edu/satellite-blog/images/2022/04/220411_goes16_infrared_spcStormReports_AR_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/45730
California
Fog and Smoke from the County Fire as seen in the GOES visible and shortwave window bands: https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2018/07/180630_goes16_visible_shortwave_infrared_County_Fire_CA_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/28722. Fog is also seen in the visible image, while the hottest IR pixels are colored in red.
Colorado
Snow cover shown in a visible band and derived surface (skin) temperatures : https://cimss.ssec.wisc.edu/satellite-blog/images/2024/11/241111_g16_vis_lst_sfcTemp_CO_snow_cover.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/61705
Connecticut
Visible imagery of severe weather (GOES-16) with the storm reports over-plotted: https://cimss.ssec.wisc.edu/satellite-blog/images/2021/11/211113_goes16_visible_spcStormReports_NJ_NY_CT_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/43277
Delaware
Fog as shown in derived cloud thickness and then visible imagery: https://cimss.ssec.wisc.edu/satellite-blog/images/2021/03/210323_goes16_cloudThickness_visible_East_Coast_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/40373
Florida
Florida is home to Cape Canaveral, from where all GOES Satellites were launched. The ABI can be used to view rocket launches, as in this animation showing GOES-T launch with special 30-sec meso-sector scans https://cimss.ssec.wisc.edu/satellite-blog/images/2022/02/800x800_AGOES17_B1_ZOOM_V2_30SEC_animated_2022060_213625_188_2022060_215455_188_X_redo.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/44902
Florida’s position in the tropics means tropical systems frequently affect the state. Sometimes they make landfall where previous storms have occurred, allowing the interesting satellite comparison, as in this comparison of 2022’s Ian and 2004’s Charley: https://cimss.ssec.wisc.edu/satellite-blog/archives/48129. This kind of comparison between different storms has also been done near Jamaica, as shown in this blog post: https://cimss.ssec.wisc.edu/satellite-blog/archives/60196
GOES-R series routine 5-minute scanning allows for precise knowledge of fog‘s increase, as shown in this animation of the Nighttime Microphysics RGB. Note that surface observations show widespread fog in regions where the RGB doesn’t suggest fog (i.e., where the cyan color isn’t present). GOES-R IFR Probability Fields, a product that combines satellite information with Rapid Refresh estimates of low-level saturation, does indicate high probabilities of IFR conditions throughout the observed fog field.
Georgia
Storm reports over visible imagery: https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2019/03/190303_goes16_visible_spcStormReports_AL_GA_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/32150
Hawaii
Derived multi-spectral Ash Probability https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2022/11/GOES17AshProbability_0906_1301_28Nov_2022.gif (or https://cimss.ssec.wisc.edu/satellite-blog/images/2025/10/GOES17AshProbability_0906_1301_28Nov_2022.mp4) via https://cimss.ssec.wisc.edu/satellite-blog/archives/48881 Automated, multi-spectral derived products are key to be able to monitor phenomena in realtime.
Also see the deadly Lahaina, Maui wildfire: https://cimss.ssec.wisc.edu/satellite-blog/images/2023/08/230808_230809_goes18_shortwaveInfrared_HI_anim.mp4
Idaho
Smoke as seen in this CIMSS true color imagery: https://cimss.ssec.wisc.edu/satellite-blog/images/2024/12/ID_GOES-17_RadC_cimss_true_color_2022252_140117_2022253_015617.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/47831
Illinois
GOES continuously monitors the atmosphere. When something new and unexpected occurs, GOES imagery or products can help with situational awareness. Consider, for example, this Chemtool facility fire in northern Illinois in 2021. GOES identified the (dark) smoke plume’s areal extent. This was also a case where both GOES satellites (East and West) were useful; although GOES-East gave a better view of the smoke plume, that plume masked the view of the fire. GOES-West however had a continuous view of the fire and could be used to determine how the fire intensity might be changing in time. https://cimss.ssec.wisc.edu/satellite-blog/images/2021/06/GOES-16_RadC_C03_2021165_120000_2021165_192500.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/41094
Indiana
During arctic outbreaks, northwest Indiana frequently endures lake-effect snow bands. Multi-spectral imagery from GOES-East can highlight which snow bands are most likely to produce heavy snow. GOES-16 lake effect snow: https://cimss.ssec.wisc.edu/satellite-blog/images/2024/01/MI_GOES-16_RadC_cloud_phase_distinction_2024019_140117_2024019_220117.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/56535
Hole punch (or cavum) clouds https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2017/12/171221_goes16_visible_snow-ice_IL_IN_hole_punch_clouds_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/26446 A GOES visible band is on the top panel, while the near-IR shortwave window is on the lower panel.
Iowa
One of the most powerful derechos of the 2020s formed over western Iowa on 10 August 2020 and then moved eastward (Here’s a summary from the Quad Cities NWS; Cedar Rapids was particularly hard-hit; WFO IND noted the anniversary). The CIMSS Satellite Blog Post: https://cimss.ssec.wisc.edu/satellite-blog/archives/37938 includes 1-minute imagery and storm reports from the system over Iowa. https://cimss.ssec.wisc.edu/satellite-blog/images/2020/08/200810_goes16_visible_spcStormReports_Midwest_Derecho_anim.mp4
An animated gif of this animation. There are many CIMSS Satellite Blog Posts on Derechos.
Kansas
Spring season in Kansas, in addition to convective season, will often bring agricultural burning that can be monitored very closely from GOES, as shown in this blog post. These agricultural burns also show up in the Next Generation Fire System events dashboard here.
Storms https://cimss.ssec.wisc.edu/satellite-blog/images/2024/05/240519_goes16_visibleInfraredSandwichRGB_localStormReports_KS_2_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/59341
Kentucky
Heavy rain in July 2022 as seen by GOES-16: https://cimss.ssec.wisc.edu/satellite-blog/images/2022/07/220727_220728_goes16_infrared_surfacePlots_KY_flooding_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/47406
A Fog example: https://cimss.ssec.wisc.edu/satellite-blog/archives/42165
Louisiana
Hurricane Katrina in August of 2025, as seen by GOES-12: https://cimss.ssec.wisc.edu/satellite-blog/images/2024/12/logoLL_logoLR_GOES12_Katrina_loop_GOES-12_2005235_001500_2005242_034500.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/19402
Maine
Smoke as seen in two of the GOES-16 spectral bands: https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2017/08/170817_goes16_visible_cirrus_Canadian_smoke_anim.mp4 (Preliminary, Non-operational) via https://cimss.ssec.wisc.edu/satellite-blog/archives/24736
Maryland
Winter storm via the cloud type RGB: https://cimss.ssec.wisc.edu/satellite-blog/images/2024/02/240213_goes16_dayCloudTypeRGB_Northeast_US_snow_cover_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/57171
Massachusetts
GOES-16 Set of Nor’ Easters: https://cimss.ssec.wisc.edu/goes/abi/youtube/loops/20_1080x1920_AGOES16_B1_SHCS_FD_FOUREASTER_2018_loop_59s.mp4
Michigan
Bore over Lake Superior in visible imagery: https://cimss.ssec.wisc.edu/satellite-blog/images/2024/12/RedVisLakeSuperiorFog-20170710_101218_194718anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/24420
Minnesota
The GOES-R series’ routine 5-minute scanning allowed for timely monitoring of snow melt over southwest Minnesota in early December 2021, as shown in the animation below — from this CIMSS Satellite blog post. The animation shows Band 2 (Visible, 0.64 µm), True Color imagery, the Day Cloud Phase Distinction RGB, and the Snow Fog RGB. You can view the mp4 below, or the animated gif.
Blowing snow example: https://cimss.ssec.wisc.edu/satellite-blog/images/2024/12/GOES-19_RadC_blowing_snow_2024339_142117_2024339_220117.gif via https://cimss.ssec.wisc.edu/satellite-blog/archives/61934
Mississippi
Storms https://cimss.ssec.wisc.edu/satellite-blog/images/2024/04/240410_goes16_visible_spcStormReports_TX_LA_MS_AL_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/58370
Missouri
Convection as seen by 1-minute mesoscale sector GOES-16 ABI: https://cimss.ssec.wisc.edu/satellite-blog/images/2023/05/230506_goes16_visible_infrared_localStormReports_MO_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/52201
Montana
30-Sec imagery https://cimss.ssec.wisc.edu/satellite-blog/images/2022/07/220709_goes18_visible_spcStormReports_MT_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/47146
Nebraska
Haboob over Nebraska in May 2022 https://cimss.ssec.wisc.edu/satellite-blog/images/2024/12/NE_GOES-16_RadC_cimss_true_color_2022132_150117_2022132_235617.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/46385
Nevada
Cherrywood Fire from May 2021 as seen by GOES-17 in 4-panels: https://cimss.ssec.wisc.edu/satellite-blog/images/2021/05/210520_goes17_shortwaveInfrared_visible_goes16_firePower_fireTemperature_Cherrywood_Fire_NV_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/40926
New Hampshire
Mountain waves in October 2018 as seen by GOES-16: https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2018/10/181025_goes16_waterVapor_Northeast_US_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/30441
New Jersey
Special (research) GOES-14 Super Storm Sandy in 2012: https://cimss.ssec.wisc.edu/satellite-blog/images/2024/12/logos_GOES14_SRSOR_B1_2012299_174500_2012304_224500_UTC.mp4 More on Hurricane Sandy and SRSOR imagery which was used to prepare users for the eventual routine ABI 1-minute imagery.
New Mexico
GOES data are helpful in identifying regions of blowing dust that can occur either with strong low pressure systems or with thunderstorm outflow. For example, this GOES-18 animation (https://cimss.ssec.wisc.edu/satellite-blog/images/2024/06/Haboob_GOES-18_RadM1_cimss_true_color_night_dust_2024171_210030_2024172_035927.mp4) shows dust caused by a thunderstorm downdraft moving westward across New Mexico (for more information, see this CIMSS Satellite Blog Post: https://cimss.ssec.wisc.edu/satellite-blog/archives/60275 .
This CIMSS Satellite Blog post (https://cimss.ssec.wisc.edu/satellite-blog/archives/64237 ) shows dust moving northeastward across New Mexico in response to the circulation around a strong low pressure system. Here’s the animation: https://cimss.ssec.wisc.edu/satellite-blog/images/2025/04/250417_goes19_trueColorRGB_dustRGB_NM_TX_blowing_dust_anim.mp4
New York
Also, the heavy rain over NYC in September 2023: https://cimss.ssec.wisc.edu/satellite-blog/archives/54772 that was also an Forecast Decision Training Division (FDTD) Webinar ( https://rammb2.cira.colostate.edu/training/visit/satellite_webinar/fdtd_webinar/2024-01-10/ and https://www.youtube.com/watch?v=8v9qUynltyc ) and a Satellite Book Club presentation (https://www.youtube.com/watch?v=KuO-xsy3S-s&list=PLJzZC8w9vPV1NSHVBtMqOEP0VxlDmh5WA&index=61).
Fog and Snow https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2018/04/180501_goes16_visible_snow_ice_NY_Catskills_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/27893
North Carolina
Tropical Storm Ophelia in September 2023: https://cimss.ssec.wisc.edu/satellite-blog/images/2023/09/230922_goes16_visible_infared_TS_Ophelia_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/54632
North Dakota
An annual possibility along North Dakota’s eastern border is flooding from the Red River of the North. Satellite information is vital to monitor such inundations. Combined ABI/VIIRS products (available at this website) allow for the monitoring, as shown here: https://cimss.ssec.wisc.edu/satellite-blog/archives/45947 ; SAR data can also be used for very high-spatial resolution flood monitoring: https://cimss.ssec.wisc.edu/satellite-blog/archives/46140 . Multi-spectral data are very important when monitoring floods, especially observations at 0.87 and/or 1.61 micrometers (an early example with MODIS data: https://cimss.ssec.wisc.edu/satellite-blog/archives/7894).
Blowing snow from Lake effect in an RGB composite: https://cimss.ssec.wisc.edu/satellite-blog/images/2024/11/241125_goes19_dayCloudPhaseDistinctionRGB_ND_lake_effect_clouds_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/61872
Satellite observations of blowing snow in very cold airmasses (when visibility restrictions from blowing snow can rapidly become life-threatening) are very important over North Dakota. Observations are shown here: Blog Post: https://cimss.ssec.wisc.edu/satellite-blog/archives/44612 ; Note that for this example, Blizzard Warnings were modified based on the Satellite Observations, as detailed in this Satellite Liaison Blog post: https://satelliteliaisonblog.wordpress.com/2022/02/11/more-northern-plains-blowing-snow/
Ohio
Cleveland is an active port on Lake Erie. GOES data can be used to monitor ship tracks through the ice, as shown in the animation (https://cimss.ssec.wisc.edu/satellite-blog/images/2022/02/220215_goes16_visible_Lake_Erie_ship_track_anim.mp4“), from this blog post: https://cimss.ssec.wisc.edu/satellite-blog/archives/44646“.
Oklahoma
Fires (hottest pixels colored red to yellow) and smoke https://cimss.ssec.wisc.edu/goes/abi/youtube/loops/17_ABI_BAND7_13_FIRE_COMBO_OK_loop_2017065_170029_2017066_045929_fast.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/23297
Oregon
Smoke as seen in this CIMSS true color imagery: https://cimss.ssec.wisc.edu/satellite-blog/images/2024/12/OR_GOES-17_RadC_cimss_true_color_2022252_140117_2022253_015617.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/47831
Pennsylvania
Pennsylvania’s many river-filled valleys are common areas for fog development. The high temporal resolution of GOES-R (as shown in the animation below from a special observing session with GOES-14) means you can observe the dissipation to the closest minute.
https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2014/08/GOES14_VIS_18August2014loop.gif as in this blog post.
Snow squalls https://cimss.ssec.wisc.edu/satellite-blog/images/2022/02/220219_goes16_dayCloudPhaseDistinctionRGB_PA_snow_squalls_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/44742
Also see: https://cimss.ssec.wisc.edu/satellite-blog/archives/45461
Rhode Island
This animation https://www.ssec.wisc.edu/~scottl/data/GOES-16_ABI_RadC_C02_20210607_1501_to_2356_RhodeTLanim.gif (See more at this blog post https://cimss.ssec.wisc.edu/satellite-blog/archives/41031) shows the evolution of fog moving over Block Island. Of particular note, especially to sailors, is the development of overlapping waves downwind of Block Island. Note also how this imagery can be used to pinpoint where over southern Rhode Island beaches you might be disappointed by the weather on this day! on Snow https://cimss.ssec.wisc.edu/satellite-blog/images/2020/12/201216_201217_goes16_waterVapor_Noreaster_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/39306
South Carolina
South Carolina was visited by a swarm of tornadoes before sunrise on 13 April 2020 (SPC Storm Reports) as a strong cold front moved through the state. The animation below shows GOES-16 Mesoscale Sector 1-minute imagery. Most of the tornadoes occurred between 0900 and 1000 UTC. A large-scale view of this system is shown below. The forecast office in Columbia (WFO CAE) published a Storyboard on this event.
South Dakota
“River” clouds https://cimss.ssec.wisc.edu/satellite-blog/images/2024/01/240113_goes16_daySnowFogRGB_SD_river_effect_snow_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/56436
Tennessee
Visible and IR GOES-16 https://cimss.ssec.wisc.edu/satellite-blog/images/2024/05/240508_goes16_visible_infrared_glmFlashExtentDensity_warningPolygons_TN_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/59059
Texas
West Texas can be a prime wildfire environment, and GOES-R’s fine temporal scanning abilities allows for precise monitoring of the evolution of fires. That kind of information is vital to ensure safety of those responding to the fire. An excellent example is the Smokehouse Creek fire in 2024: https://cimss.ssec.wisc.edu/satellite-blog/archives/57431, the largest fire in areal extent in Texas history; it burned more than 1600 square miles, an area larger than the state of Rhode Island.
Texas has a long Gulf coastline, and tropical systems are a common occurrence. Harvey, in 2017, was an early example of a tropical system being monitored with Geostationary Lightning Mapper data, as shown in this blog post. https://cimss.ssec.wisc.edu/satellite-blog/archives/24841 . Harvey’s effects on SE Texas will also monitored via VIIRS’ Day Night Band sensor on Suomi-NPP: https://cimss.ssec.wisc.edu/satellite-blog/archives/24924. A similar Day Night Band comparison with Hurricane Beryl in 2024 is shown in this National Weather Association short course: https://rammb2.cira.colostate.edu/training/2024-nwa-satellite-workshop/
GOES-16 splitting convection in 2018: https://cimss.ssec.wisc.edu/goes/abi/youtube/loops/04_ABI_BAND2_SPLIT_loop_2018084_200104_2018085_012904_17s.mp4
Utah
30-sec imagery from GOES-17 https://cimss.ssec.wisc.edu/satellite-blog/images/2022/06/220623_goes17_visible_UT_CO_KGJT_radar_outage_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/46981
Vermont
Wave clouds and snow squalls https://cimss.ssec.wisc.edu/satellite-blog/images/2024/12/VT_GOES-16_RadC_cloud_phase_distinction_2022058_123117_2022058_222617.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/44873
Virginia
Rocket Plume and Shadow https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2019/11/WALLOPS_Vis_loop.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/34945
Washington
Preliminary, Non-operational GOES-16 Fog advection https://cimss.ssec.wisc.edu/satellite-blog/images/2024/12/Fog_GOES-16_RadC_day_snow_fog_2017140_173207_2017141_032707.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/23981
West Virginia
Snow cover https://cimss.ssec.wisc.edu/satellite-blog/images/2021/01/210128_goes16_visible_daySnowFogRGB_dayCloudPhaseDistinctionRGB_VA_NC_snow_cover_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/39766
Wisconsin
GOES-data continuously monitors the evolution of the atmosphere, and machine learning tools have been developed (at CIMSS, CIRA and elsewhere) to help forecasters (in the National Weather Service and elsewhere) anticipate the development of lightning. One of the more important channels that fosters the ability of satellite data to anticipate lightning is GOES-R’s Band 5 (that is, observations at 1.61) that can highlight phase changes during the day based on changes in reflectivity from clouds made up of water droplets vs. clouds made up of ice crystals. Both Day Cloud Phase Distinction and Day Cloud Type RGBs include band 5 for that reason. LightningCast probabilities, plotted below on top of Day Cloud Phase Distinction RGB imagery, shows a slow increase in lightning possibilities in advance of a GLM observation at the end of the animation (See more, including this animated gif https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2024/07/G16DCPD_LtgCast_GLMFED-20240716_1616_to_1931anim.gif at this CIMSS satellite blog post https://cimss.ssec.wisc.edu/satellite-blog/archives/60337 )
In 2018, fire at a refinery in Superior Wisconsin was captured by GOES-East (and JPSS) satellite imagery. GOES imagery allows Emergency Managers to determine where any evacuations might have to occur. A CIMSS Satellite Blog post on this event is here: https://cimss.ssec.wisc.edu/satellite-blog/archives/27868. The response of WFO Duluth to this event was discussed at the FDTD Satellite Applications webinar here https://rammb2.cira.colostate.edu/training/visit/satellite_webinar/fdtd_webinar/2019-07-17/ and on YouTube here: https://www.youtube.com/watch?v=h4BImH-zJio
Wyoming
Hail Swath https://cimss.ssec.wisc.edu/satellite-blog/images/2023/07/230711_goes16_nighttimeMicrophysicsRGB_WY_SD_anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/53389
Other
Washington, D. C.
Severe weather: https://cimss.ssec.wisc.edu/satellite-blog/images/2025/10/PSv3Readout5July2022_2000_to_2200step.mp4 https://cimss.ssec.wisc.edu/satellite-blog/images/2025/10/G16B13-20220705_2001_to_2256anim.mp4 via https://cimss.ssec.wisc.edu/satellite-blog/archives/47110
Puerto Rico
Hurricane Maria https://cimss.ssec.wisc.edu/satellite-blog/wp-content/uploads/sites/5/2017/09/GOES16_RedVis-20170920_1017_1117anim.gif via https://cimss.ssec.wisc.edu/satellite-blog/archives/25338
American Samoa
Flash flooding example: https://cimss.ssec.wisc.edu/satellite-blog/archives/59796
H/T
Both McIDAS-X and geo2grid and AWIPS software was used in generating these images, using data via the UW/SSEC Data Services. More about GOES-16. Thanks to Scott Bachmeier and Tim Schmit. And other blog authors, such as Mat Gunshor and Alexa Ross. Thanks to Bill Bellon for coding up the map.

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