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Great Lakes Ice Extent

According to NOAA’s Great Lakes Surface Environmental Analysis (GLSEA) the Great Lakes were 11.6% ice covered on February 2nd when an arctic air mass was descending southward over the region. The cold air boosted ice coverage to 14.7% on February 3rd, less than half of the average extent (1973-2022)... Read More

Great Lakes via VIIRS True Color imagery on February 2nd revealed ample open waters
Great Lakes via VIIRS False Color imagery on February 2nd revealed ample open waters

According to NOAA’s Great Lakes Surface Environmental Analysis (GLSEA) the Great Lakes were 11.6% ice covered on February 2nd when an arctic air mass was descending southward over the region. The cold air boosted ice coverage to 14.7% on February 3rd, less than half of the average extent (1973-2022) of 34% for February 3rd. This meant ample open waters for lake-effect clouds and snow, per the 5-hour GOES East animation below.

Ice extent on the Great Lakes is highly variable. In the past five years ice coverage on February 3rd has been as low as 5.3% in 2020 and as high as 40.9% in 2019. Records have been kept since 1973. (Check current conditions via https://coastwatch.glerl.noaa.gov/ice.html)

GLSEA comparison maps of Great Lakes ice coverage from 2023 (top left) to 2019 (bottom right).

In spite of wide year-to-year variability, studies show a downward trend in Great Lakes ice coverage since records began.

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Train derailment and fire in East Palestine, Ohio

At around 9 PM EST on 03 February 2023 (0200 UTC on 04 February) a 50-car train derailed in East Palestine in far eastern Ohio, with some of the rail cars carrying hazardous chemicals that caught fire (media report) — and GOES-16 (GOES-East) Shortwave Infrared (3.9 µm) images (above) showed the thermal... Read More

GOES-16 Shortwave Infrared (3.9 µm) images, with railroads plotted in violet [click to play animated GIF | MP4]

At around 9 PM EST on 03 February 2023 (0200 UTC on 04 February) a 50-car train derailed in East Palestine in far eastern Ohio, with some of the rail cars carrying hazardous chemicals that caught fire (media report) — and GOES-16 (GOES-East) Shortwave Infrared (3.9 µm) images (above) showed the thermal signature of this long-lived fire, which was still evident 27 hours after the derailment (at 0006 UTC on 05 February). At times, thick cloud cover totally obscured the thermal signature; however, when relatively thin clouds were over the fire this thermal signature could still be seen. The peak 3.9 µm infrared brightness temperature was 17ºC, about an hour after the accident (at 0306 UTC).

===== 06 February Update =====

GOES-16 “Red” Visible (0.64 µm, top left), Shortwave Infrared (3.9 µm, top right), Cloud Top Phase (bottom left) and “Clean” Infrared Window (10.3 µm) / Cloud Top Temperature / Cloud Top Height (bottom right); railroads are plotted in violet [click to play animated GIF | MP4]

On the afternoon of 06 February, a controlled vent and burn of toxic chemicals (contained in 5 of the rail cars) was conducted (media report) — and 1-minute Mesoscale Domain Sector GOES-16 “Red” Visible (0.64 µm), Shortwave Infrared, Cloud Top Phase derived product, “Clean” Infrared Window (10.3 µm), Cloud Top Temperature derived product and Cloud Top Height derived product (above) showed signatures of the resulting black smoke plume that penetrated the top of a supercooled water droplet (light green in the Cloud Top Phase product) stratus cloud layer that was over the area at that time. The black smoke plume first emerged from the cloud top at 2139 UTC, casting a long shadow to the northeast at 2140 UTC. Beginning at 2149 UTC, the Clear Sky Mask derived product (animated GIF | MP4) mistakenly identified the black smoke as a hole in the stratus cloud deck — so with a “Clear” sky falsely indicated, the derived cloud products (Cloud Top Phase / Cloud Top Temperature / Cloud Top Height) were not created for those particular pixels. Note that the Cloud Top Height product was distributed in AWIPS at a reduced spatial resolution (4 km, compared to the native resolution of 2 km for infrared spectral bands used to create the product).

The black smoke cloud seen in Visible imagery also exhibited a signature in Dust RGB and Split Cloud Top Phase brightness temperature difference imagery (below) — which both leverage the 8.5 µm spectral band that is sensitive to differences in emissivity (in this case, the emissivity of the smoke particles differed from that of the supercooled water droplets along the top of the surrounding stratus cloud layer) .

GOES-16 “Red” Visible (0.64 µm) / Dust RGB / Split Cloud Top Phase brightness temperature difference (top left), Shortwave Infrared (3.9 µm, top right), Cloud Top Phase (bottom left) and “Clean” Infrared Window (10.3 µm, bottom right); railroads are plotted in violet [click to play animated GIF |MP4]

The infrared brightness temperature of the overshooting black smoke plume was 1-2ºC warmer than that of the adjacent underlying stratus cloud layer — and a plot of rawinsonde data from Pittsburgh, Pennsylvania (below) revealed the presence of a strong boundary layer temperature inversion, with air temperatures rising quickly with height. The presence of light winds at those low altitudes also prevented a rapid dispersion or significant advection of the above-stratus smoke plume.

Plot of rawinsonde data from Pittsburgh, Pennsylvania at 00 UTC on 07 February [click to enlarge]

GOES-16 True Color RGB images from the CSPP GeoSphere site (below) provided a better portrayal of the contrast between the dark black smoke plume and the surrounding stratus cloud deck.

GOES-16 True Color RGB images, with and without a map overlay [click to play MP4 animation]

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Ice storm across the Southern Plains and Mid-South

After a prolonged 3-day winter storm that produced highly disruptive accumulations of sleet and freezing rain (WPC Storm Summary) across parts of the Southern Plains and Mid-South from 31 January02 February 2023, clouds cleared out across much of those regions on 03 February — allowing GOES-16 (GOES-East) “Red” Visible (0.64 µm) and Day Snow-Fog RGB images... Read More

GOES-16 “Red” Visible (0.64 µm) and Day Snow-Fog RGB images [click to play animated GIF | MP4]

After a prolonged 3-day winter storm that produced highly disruptive accumulations of sleet and freezing rain (WPC Storm Summary) across parts of the Southern Plains and Mid-South from 31 January02 February 2023, clouds cleared out across much of those regions on 03 February — allowing GOES-16 (GOES-East) “Red” Visible (0.64 µm) and Day Snow-Fog RGB images (above) to depict some of the areas where significant ice accrual occurred.

The Day Snow-Fog RGB imagery is more useful here, because it leverages the 1.61 µm “Snow/Ice” spectral band. As seen in a plot of ABI Spectral Response Functions (below), snow and ice are efficient absorbers of radiation (and therefore exhibit a low reflectance) at the 1.61 µm wavelength — making those features appear as shades of red in the RGB images (and since ice absorbs even more strongly than snow, ice appears as the darkest shades of red).

Plots of Spectral Response Function for ABI Bands 1-5 (credit: Mat Gunshor, CIMSS) [click to enlarge]

Due to the translucent nature of thicker ice accrual (providing that it is not covered with a layer of light snow), note that some areas of significant ice accrual are not as apparent in the Visible imagery as they are in the RGB imagery — in particular, over parts of western Tennessee, far northwestern Mississippi and southern Arkansas (as shown in a GOES-16 image comparison at 1616 UTC and a NOAA-20 image comparison at 1831 UTC, below).

GOES-16 “Red” Visible (0.64 µm) and Day Snow-Fog RGB images at 1616 UTC [click to enlarge]


NOAA-20 VIIRS Visible (0.64 µm) and Near-Infrared “Snow/Ice” (1.61 µm) images vaid at at 1831 UTC [click to enlarge]

Other blog posts documenting the identification of areas with significant ice accrual can be found here.

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Global mean values of ABI Bands

CIMSS scientists have created a website that extracts from the Level 1b ABI files information on the global mean radiance (and maximum, and minimum radiances) for each of the 16 channels at this link. The figure above tracks the global mean temperature of the GOES-16 Band 8 (Upper Level Water Vapor,... Read More

GOES-16 Mean Brightness Temperature (computed from the mean Radiance Values for 6.19 µm), June 2021 – February 2023 (Click to enlarge)

CIMSS scientists have created a website that extracts from the Level 1b ABI files information on the global mean radiance (and maximum, and minimum radiances) for each of the 16 channels at this link. The figure above tracks the global mean temperature of the GOES-16 Band 8 (Upper Level Water Vapor, 6.19 µm) from June 2021 (the earliest date yet available) through the present. Some rare data dropouts are obvious (and have not been filtered out). There are interesting time scales within this time series; for example, there is a 2-week oscillation starting near the end of 2022. That’s more apparent, starting after 15 December 2022, in the blown-up image shown below, from 1 November through 2 February. You can also see daily changes in the Brightness Temperature in the time series below, likely related to solar forcing.

GOES-16 Global Mean Brightness Temperatures for Band 8 (6.19 µm), 1 November 2022 – 2 February 2023 (Click to enlarge)

The toggle below compares the Global Mean 6.19 µm brightness temperature on 1 January and 1 February 2023. Note the peak near solar noon at 75.2oW, the GOES-16 sub-satellite point. This might also be influenced by high topography that is sensed by Band 8 (that is: the Andes Mountains).

GOES-16 Mean Global Band 8 (6.19 µm) Brightness Temperatures, 1 January and 1 February 2023 (Click to enlarge)

A similar site for monitoring cloud products (Cloud-top Height, Cloud-top Pressure, etc.) is here.

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