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Cross-sections using gridded NUCAPS data in AWIPS

Gridded NUCAPS data, available from NOAA-20 data within AWIPS, can be used to construct cross-sections in AWIPS. The image above includes an editable baseline J-J’ (one of 10 different lines that can be used for data in AWIPS) from Minnesota into Indiana, roughly perpendicular to a line of broken cumulus... Read More

NOAA-20 Day Night Band visible imagery (0.70) along with NUCAPS Sounding Availability points, ca. 19z on 21 June 2022 (Click to enlarge)

Gridded NUCAPS data, available from NOAA-20 data within AWIPS, can be used to construct cross-sections in AWIPS. The image above includes an editable baseline J-J’ (one of 10 different lines that can be used for data in AWIPS) from Minnesota into Indiana, roughly perpendicular to a line of broken cumulus over Wisconsin and Iowa.

Equivalent Potential Temperature along line J-J’ as indicated in imagery above (Click to enlarge)

The cross section of equivalent potential temperature, above, shows very warm temperatures over the southern portions of the cross section, with theta-e values around 350 K. Potential Instability, i.e., theta-e values decreasing with height, is widespread along the cross-section. The broken cloud field in the VIIRS imagery on top eventually did initiate convection, as shown in this radar capture from 0012 UTC on 22 June.


How do you create the cross-sections in AWIPS? Use the Volume Browser, as shown in the screen capture below. Select ‘Cross Section’ (vs. ‘Plan view’, for example) from the choices in the Volume Browser right next to ‘File’, ‘Edit’ and ‘Tools’, then choose ‘GriddedNUCAPS’ under ‘Sources’, and choose the correct Plane — as one of the Specified Lines you have previously moved in AWIPS; then choose the variable (possibilities are shown in the image; I chose Equiv Pot Temp).

Volume Browser presentation while creating Cross-Sections using gridded NUCAPS data (Click to enlarge)

Imagery in this blog was created using a cloud instance of AWIPS from the TOWR-S group within NOAA/NWS. Thank you!

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VIIRS composite flood products over Bangladesh and India

The five-day composite of the VIIRS flood product is just one flood product that can be viewed in RealEarth. VIIRS is an instrument aboard SNPP and NOAA-20, which are low earth orbiting satellites. This means that while only two daytime observations may be retrieved per day over a given region,... Read More

The five-day composite of the VIIRS flood product is just one flood product that can be viewed in RealEarth. VIIRS is an instrument aboard SNPP and NOAA-20, which are low earth orbiting satellites. This means that while only two daytime observations may be retrieved per day over a given region, the spatial resolution of 375-m is quite highly resolved. VIIRS flood composites, such as the five-day composite, provide the “maximal flood extent” during flood events. More information about VIIRS and other satellite flood products can be found here.

In areas of Bangladesh and northwest India, persistent rains have caused recent heavy flooding. Millions of people have already been displaced and the flooding is forecast to continue. The VIIRS five-day flood product composite over a six-day time period can be seen below, with the 7-day CMORPH2 satellite-derived precipitation accumulation product. Comparing the images, the spatial placement of flooding with accumulated precipitation coincides well.

Daily images of the five-day VIIRS flood product composite from 6-15-2022 to 6-20-2022 over Bangladesh and Northeastern India. The product estimates the severity of river flooding over the last five days [click to enlarge].
CMORPH2 accumulate precipitation from 6-20-2022 over the same area. This product represents the approximate precipitation (rainfall) accumulation over the last seven days [click to enlarge].
Convective storms occurring over Bangladesh and Northeast India on 6-19-2022 from 00:00Z to 15:50Z as seen from the Advanced Himawari Imager (AHI). This animation was created using CSPP’s geo2grid software.

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Can Geostationary Imagers See Noctilucent Clouds?

Q: Can geostationary imagers see the very thin, very high Noctilucent Clouds? A: Yes and no, depending on the satellite, how data are processed, time of the year, time of the day and spectral band. Thanks to Simon Proud for this tweet using JMA‘s Advanced Himawari Imager (AHI): Whoa, awesome view of #Noctilucent... Read More

Q: Can geostationary imagers see the very thin, very high Noctilucent Clouds? A: Yes and no, depending on the satellite, how data are processed, time of the year, time of the day and spectral band. Thanks to Simon Proud for this tweet using JMA‘s Advanced Himawari Imager (AHI):

Note the very thin line near the top of the images on June 20, 2022. These images are derived from Japan’s AHI. A animated gif version.
A similar loop as above, but more zoomed in. From June 20, 2022. These images are derived from Japan’s AHI. An animated gif version.
A “spectral” loop of AHI’s three visible bands at 15 UTC on June 20, 2022. A animated gif version.

Since NOAA’s ABI is a similar instrument to AHI it seems likely that ABI can also observe noctilucent clouds at times. Noctilucent clouds are possibly only observable in visible bands when they are off the earth’s edge, with space as a background, and when illuminated from certain angles. However, due to ground system processing in the generation of the ABI radiance files, most users cannot see data that the ABI scans off the Earth’s edge in space. Special processing of ABI data does allow to show off Earth pixels, such as in these examples with the moon and the Webb Space Telescope plume in space. Recall that the AHI Full Disk is made up of 23 swaths (as opposed to 22 for the ABI), so it scans a bit more space both north and south of the Earth.

An animation including the AHI 3.9 micrometer band shows the relationship between the Earth’s edge and the apparent cloud location. (A animated gif version.) Consider also the large apparent displacement of these high altitude (“shining at night”) clouds due to parallax.

Also see this image:

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Hail damage swaths in Nebraska and Iowa

GOES-16 (GOES-East) Normalized Difference Vegetation Index (NDVI) and Day Land Cloud Fire RGB images (above) revealed several hail damage swaths — which appeared as brighter shades of yellow in the NDVI images, and shades of brown in the RGB images — across parts of Nebraska and Iowa on 20 June... Read More

GOES-16 Normalized Difference Vegetation Index and Day Land Cloud Fire RGB images, with and without Cities labels [click to play animated GIF | MP4]

GOES-16 (GOES-East) Normalized Difference Vegetation Index (NDVI) and Day Land Cloud Fire RGB images (above) revealed several hail damage swaths — which appeared as brighter shades of yellow in the NDVI images, and shades of brown in the RGB images — across parts of Nebraska and Iowa on 20 June 2022. The swaths of cropland damage were the result of wind-driven hail events that occurred on 06 June, 07 June and 14 June. One of the swaths was nearly 90 miles long (due to a series of training thunderstorms), with some swaths as wide as 10 miles in places.

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