As noted here, an updated version of geo2grid is being prepared at CIMSS. As part of that upgrade, support for some level 2 products will be included. For example, the image above — of cloud-top height — was created using the following set of geo2grid (a beta version that this blogger is testing) calls.

./geo2grid.sh -r abi_l2_nc -w geotiff -p HT -g L2Fields --grid-configs $GEO2GRID_HOME/L2Fields.yaml --method nearest --radius-of-influence 40000 -f /arcdata/goes_restricted/grb/goes16/2022/2022_03_21_080/abi/L2/ACHAC/*s20220801501*.nc
../add_coastlines.sh --add-coastlines --coastlines-resolution h --coastlines-level=5 --coastlines-outline='blue' --add-grid --grid-text-size 0 --grid-D 5.0 5.0 --grid-d 5.0 5.0 --add-colorbar --colorbar-align right --colorbar-text-size 8 --colorbar-vertical --colorbar-no-ticks --add-borders GOES-16_ABI_HT_20220321_150116_L2Fields.tif
convert GOES-16_ABI_HT_20220321_150116_L2Fields.png -gravity Southwest -fill black -pointsize 16 -annotate +12+36 "GOES-16 Cloud Top Height 1501 UTC 21 March 2022" GOES-16_ABI_HT_20220321_150116_L2Fields1.png
convert GOES-16_ABI_HT_20220321_150116_L2Fields1.png ~scottl/smalllogo.png -gravity northwest -geometry +12+8 -composite GOES-16_ABI_HT_20220321_150116_L2Fields2.png

How does the image above compare to Level 2 product fields that can be found elsewhere? This website contains a link to a RealEarth instance that includes mappings of Full-Disk Cloud Mask, Cloud Top Pressure, Cloud top Phase, and Cloud Optical Depth. A portion of the Full-Disk Cloud Top Pressure is shown below (from 1500 UTC). Similar features are apparent in fields above and below.

Level 2 Products associated with Cloud-top properties are also available at the CIRA slider, including Cloud-top Height, shown below from 1501 UTC. Other GOES-R Level 2 products available there include Cloud Optical Depth, Cloud Mask, Cloud Phase and Cloud Effective Particle Size.

View only this post Read Less

By animating daily NOAA GOES-17 ABI Full Disk true color imagery, how the Earth is illuminated over time can be seen. For example, the minimum in incoming solar radiation in the Northern Hemisphere associated with the Winter Solstice. For details, see “What is a Solstice?” by SciJinks. Or this NOAA https://www.noaa.gov/education/news/share-your-solstice-sunset-with-noaa-education post.

14 UTC loops from the fall Equinox of 2021 to the Spring Equinox of 2022. Also as an animated gif. These posted GOES ABI Full Disk imagery are only showing a small number of the pixels, for a fuller resolution image at one time (20-March-2022).

The 16 bands of ABI from GOES-West and GOES-East from UW/CIMSS.

Interactive web page

An interactive web page with almost a years worth of GOES ABI Full Disk visible images at 11 UTC. The beginning date is the (northern hemisphere) summer solstice in 2021 and the end date is the winter solstice in 2021. A user can play the animation, as well as annotate the images. For example, draw lines along the terminator for different times of the year. One example might be to compare a solstice to an equinox. Can you estimate the day of the summery equinox? H/T Tom Whittaker, SSEC, for the webapp. Note that the app allows one to save an mp4 animation.

H/T

These images were made using NOAA data with geo2grid software, from UW-Madison, SSEC.

View only this post Read Less

The southeastern 2/3 of Iowa received precipitation during the 24 to 48 hours preceding 12 UTC on 19 March 2022 — and GOES-16 (GOES-East) Day Snow-Fog RGB images (above) showed (1) a signature of the resultant moist soil (darker shades of green) across central and southeastern Iowa, along with (2) isolated patches of fresh snow cover (darker shades of red) in southeastern Nebraska, southwestern Iowa, northeastern Iowa and southwestern Wisconsin. The area of deeper (and thus slower-melting) snow cover over southwestern Iowa was enhanced by a period of thundersnow, where 3.0 inches fell at Audubon (KADU) and 2.1 inches fell at Atlantic (KAIO). There was a sharp boundary separating this recently-moistened soil from the very dry soil across northwestern Iowa — an area which had received less than 50% of normal precipitation during the previous 90 days, and was experiencing abnormally dry to severe drought conditions.

The corresponding hourly Land Surface Temperature (LST) derived product displayed a similarly sharp contrast between the dry and moist soil — with the dry soils exhibiting late-morning to mid-afternoon LST values that were 15-25ºF warmer than adjacent moist soils (since the energy of incoming solar radiation was acting to evaporate water from the moist soil, rather than warm it). For example, in the Land Surface Temperature product at 1901 UTC (below) the LST along the 40-mile Baseline segment A-A’ varied from 88ºF in dry soil (at Point A) to 63ºF in moist soil (at Point A’). The radar-derived 24-hour total precipitation showing Baseline A-A’ can be seen here.

View only this post Read Less

The Japan Meteorological Agency (JMA) maintains a website that has imagery in various sectors under Himawari-8’s gaze. This blog post will describe how to automatically access those data. This is useful if you want to create and maintain a long archive of imagery. The front page of the website is shown here. At the top of the image you’ll see Full Disk thumbnails that you can click on, and if you scroll down, you’ll see subsected regions, such as Australia, various Pacific Island groups, regions of southeast Asia, etc. Note especially that each sector has a Filelist link you can click — more on that later.

If you click (for example) on Southeast Asia 1, you will see a website (below) that includes drop-down menus, and an imagery window, as shown below, with and without annotations. You can choose a different area, a different time (within the past 24 hours) to display, control animation length (1, 3, 6, 12, 18 or 23 hours), and choose which Band to display.

The Bands to display are shown below. The individual bands are grey-scaled. The RGBs available are discussed at this JMA site — this is also the link shown right above the Band Drop-down Menu (“RGB Training Library (JMA Website)“)

---

The Filelist link will take you to the directory (here is the one for Southeast Asia 1, here’s the one for Pacific Islands 1) where the images that are displayed on the website are stored. This is a 24-hour archive of subsected imagery. The imagery is not generally full-resolution, although there are small sectors that do show full-resolution: over the Solomon Islands, over Vanuatu, and over Fiji. In general, resolution is sacrificed for ease of access.

Because the files for each sectors are always in the same place (the same url), it is straightforward to write up a unix cron job to access the imagery and save it. A shell script to use is shown below. wget calls access the data — in this case Pacific Island Group 1 (pi1) — and move it to your local machine for images separated by 10 minutes. Then a directory is created into which the data are then moved. I have a shell script like this that runs every day just before 0000 UTC to gather the 142 files created over the course of the day. The animation created from the imagery (Sandwich Product — the snd in the file name! — over Pacific Island Region 1, which region includes Guam) for 17 March 2022 is shown at the top of this blog post. (Here’s a similar animation for 16 March 2022). One could accumulate data over a small region every day and create a very long animation.

#!/bin/sh/
cd /home/scottl/JMA/
wget -r https://www.data.jma.go.jp/mscweb/data/himawari/img/pi1/pi1_snd_0000.jpg .
wget -r https://www.data.jma.go.jp/mscweb/data/himawari/img/pi1/pi1_snd_0010.jpg .
.
.
.
wget -r https://www.data.jma.go.jp/mscweb/data/himawari/img/pi1/pi1_snd_2350.jpg .
DIRNAME=`date '+PI1SND%m%d%y'`
mkdir $DIRNAME
FILENAME=`date '+pil_snd_0000_%m%d%y'.gif`
out=`mv /home/scottl/JMA/www.data.jma.go.jp/mscweb/data/himawari/img/pi1/pi1_snd_0000.jpg /home/scottl/JMA/$DIRNAME/$FILENAME`
FILENAME=`date '+pil_snd_0010_%m%d%y'.gif`
out=`mv /home/scottl/JMA/www.data.jma.go.jp/mscweb/data/himawari/img/pi1/pi1_snd_0010.jpg /home/scottl/JMA/$DIRNAME/$FILENAME`
.
.
.
FILENAME=`date '+pil_snd_2350_%m%d%y'.gif`
out=`mv /home/scottl/JMA/www.data.jma.go.jp/mscweb/data/himawari/img/pi1/pi1_snd_2350.jpg /home/scottl/JMA/$DIRNAME/$FILENAME`
rm -rf www.data.jma.go.jp/

---

Be mindful that you are using an image created by someone else! It’s always a good idea to include attribution, in this case back to JMA, when you show the imagery.

View only this post Read Less