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There are different RGBs available to monitor volcanic signatures within a cloud, and three common ones are shown above. The Dust RGB and the Ash RGB use identical channels/channel differences that are scaled differently. All three RGBs (here is the The SO2 RGB Quick Guide) include Band 11 information; Band 11 detects radiation... Read More
Himawari-9 Dust RGB (Top), Ash RGB (middle) and SO2 RGB (bottom), 2300 UTC 10 April 2023 – 0000 UTC 15 April 2023
There are different RGBs available to monitor volcanic signatures within a cloud, and three common ones are shown above. The Dust RGB and the Ash RGB use identical channels/channel differences that are scaled differently. All three RGBs (here is the The SO2 RGB Quick Guide) include Band 11 information; Band 11 detects radiation in the part of the electromagnetic spectrum that is sensitive to absorption by SO2. For the Sheviluch eruption (described in blog posts here and here) that occurred just at the beginning of this animation above, the SO2 signal — bright yellow in the SO2 RGB — persists the longest. That, of course, will not be the case with every eruption; that’s why one must use more than one product to monitor an eruption.
Note that “Keep Out Zones” are apparent in the imagery above as regions of no data around 1440 UTC, when the Himawari-9 imager is turned off when it is pointing a little too closely towards the Sun.
By 14 April, much of the signal has shifted eastward out of Himawari-9’s field of view. The animation below, from GOES-18, shows the three RGBs from 0000 UTC on 14 April through 0000 UTC on 20 April. The signal of enhanced SO2 in particular has remarkable staying power.
GOES-18 Dust RGB (Top), Ash RGB (middle) and SO2 RGB (bottom), 0000 UTC 14 April 2023 – 0000 UTC 20 April 2023
1-minute Mesoscale Domain Sector GOES-16 (GOES-East) “Red” Visible (0.64 µm) and “Clean” Infrared Window (10.3 µm) images (above) include plots of time-matched (+/- 3 minutes) SPC Storm Reports — which showed thunderstorms that produced hail as large as 4.50 inches in diameter and wind gusts to 63 mph across North Texas on 26 April 2023. Cloud-top infrared brightness temperatures... Read More
GOES-16 “Red” Visible (0.64 µm, top) and “Clean” Infrared Window (10.3 µm, bottom) images, with time-matched SPC Storm Reports plotted in red/cyan [click to play animated GIF | MP4]
1-minute Mesoscale Domain Sector GOES-16 (GOES-East) “Red” Visible (0.64 µm) and “Clean” Infrared Window (10.3 µm) images (above) include plots of time-matched (+/- 3 minutes) SPC Storm Reports — which showed thunderstorms that produced hail as large as 4.50 inches in diameter and wind gusts to 63 mph across North Texas on 26 April 2023. Cloud-top infrared brightness temperatures were as cold as -81ºC at 2328 UTC (violet pixels), and Above-Anvil Cirrus Plumes (reference | VISIT training) were evident with the 2 more dominant supercell thunderstorms.
1-minute GOES-16 Visible and Infrared images with/without an overlay of GLMFlash Extent Density(below) revealed that the easternmost supercell thunderstorm tended to exhibit a bit more lightning activity. These severe thunderstorms developed just to the north of a quasi-stationary frontal boundary that was draped across North Texas.
GOES-16 “Red” Visible (0.64 µm, top) and “Clean” Infrared Window (10.3 µm, bottom) images, with/without an overlay of GLM Flash Extent Density [click to play animated GIF | MP4]
GOES-16 “Red” Visible (0.64 µm, top) and “Clean” Infrared Window (10.3 µm, bottom) images at 0022 UTC [click to enlarge]
GOES-16 Visible and Infrared images at 0022 UTC (above) showed an Above-Anvil Cirrus Plume (AACP) particularly well — at that time there was a 20ºC infrared brightness temperature difference between the cold overshooting top (-76ºC, darker black enhancement) and the downwind AACP (-56ºC, brighter green enhancement). A warmer AACP was consistent with warming temperatures above the local tropopause, as seen in a plot of rawinsonde data (source) from Fort Worth, Texas at 0000 UTC (below).
Plot of rawinsonde data from Fort Worth, Texas at 0000 UTC on 27 April [click to enlarge]
With Spring comes the beginning of fire season for the United States, and with the help of satellite data, model output can provide information about future smoke and fires.Fire weather outlooks are available from the NOAA Storm Prediction Center (SPC). These are qualitative categorical outlooks similar to those the SPC issues for severe weather. Also... Read More
With Spring comes the beginning of fire season for the United States, and with the help of satellite data, model output can provide information about future smoke and fires.
Fire weather outlooks are available from the NOAA Storm Prediction Center (SPC). These are qualitative categorical outlooks similar to those the SPC issues for severe weather. Also provided by NOAA is the High-Resolution Rapid Refresh (HRRR) Smoke model, which forecasts smoke transport using a variety of inputs including radiances from GOES, MODIS, and VIIRS.
Both of these products are available in RealEarth, making it handy to gauge smoke and fire events across the United States and plan for future smoke and fire events. There are currently ‘elevated’ and ‘critical’ areas of New Mexico designated by the fire weather categorical outlooks. RealEarth is also available for Android and iOS.
Fire weather outlook, HRRR surface smoke, and HRRR vertically integrated smoke mapped over the continental United States for 24 hours, from 2023-04-25 at 0846Z to 2023-04-26 at 0846Z. You can recreate this animation at the RealEarth website. [Animation courtesy of Russ Dengel, SSEC.]
Due to the total solar eclipse over parts of the contiguous U.S. on April 8, 2024, there are many wondering what the cloud cover may be then. Q: Will it be cloudy over the path of the total solar eclipse on April 8, 2024? A: We don’t know what the cloud cover will... Read More
Due to the total solar eclipse over parts of the contiguous U.S. on April 8, 2024, there are many wondering what the cloud cover may be then.
Q: Will it be cloudy over the path of the total solar eclipse on April 8, 2024?
366 days from today a total solar eclipse will move from southwest to northeast across the Contiguous U.S. This map show the climatological (historical) cloud coverage for April 8th during the middle of the day. [This is not a forecast.] ?? pic.twitter.com/y4a65ZDCx9
— Brian Brettschneider (@Climatologist49) April 8, 2023
Q: Will the NWS Weather Prediction Models include the total eclipse in their cloud forecasts?
A: We don’t know, but in 2017 certain experimental models did. Of course the cooling associated with the eclipse shadow can cause local changes to temperature, wind, cloud cover and other parameters.
Q: Is there a NOAA-operated sensor to provide rapid updates of cloud cover over the US?
A: Yes, there is a GOES constellation. There are many web sites (including the GOES Viewer) and phone apps to see realtime imagery.
Example GOES-16 ABI combined visible and infrared window composite image.
Q: Isn’t there another solar eclipse coming up over the western U.S?
A: Yes, on October 14, 2023. Although that’s an annular (“ring“) eclipse, not a total eclipse. More, including the path.
Q: What might the moon’s shadow look like cast on the Earth during a total solar eclipse?
A: We have a good idea, based on previous cases from geostationary imagers, for example from 2017. Or see these other examples: 2019, 2020, 2020, 2021 and 2023 (2023).
CIMSS true color imagery from August of 2017 over the contiguous U.S. (Click the image to animate.)
Q: Can the cooling associated with a total solar eclipse affect the cloud patterns?
A: Yes it can, especially for “fair weather” cumulus. We saw from GOES the dissipation of certain clouds during the 2017 event (near St. Louis, MO).
Notice some clouds dissipate in this visible satellite loop with less solar radiation associated with the 2017 total eclipse. (Click the image to animate.)
Q: Should I look at the Sun without proper eye protection?
A: No.
Q: Is 99% close enough to experience the total eclipse?
A: No. Try to get into the region of totality.
H/T
These images were made using NASA and NOAA geostationary visible imagery with McIDAS-X software, from UW-Madison, SSEC. The images are via the SSEC Data Services. Thanks to Jim Nelson, Mat Gunshor, Scott Bachmeier and many others, including Kaba Bah. Thanks to Tom Whittaker for the java-script webapp (interactive web page). Thanks also for the Eclipse Predictions by Fred Espenak, NASA’s GSFC.