CIMSS Turbulence Fields changed

May 27th, 2022 |
GOES-17 Band 8 (“Low-level water vapor”) Infrared (6.19 µm) fields, 1910 UTC on 27 May 2022, along with derived Turbulence Probability for 30-33 kft, 34-37 kft, 38-41 kft (Click to enlarge)

At the request of AWC and WFO HNL, the turbulence probability fields for AWIPS have been changed (the website — here — is unaltered as of now). The turbulence probability is split into 3 layers that are each 3000 feet thick: 30000-33000 feet ; 34000-37000 feet; 38000-41000 feet. The AWIPS plugin used to display the information has also been changed, so that contours are drawn, as shown above. This will affect AWIPS performance if you are displaying the full disk imagery (because there are so many contours to draw!)

View and animate GOES-16 and GOES-17 Full-Disk IFR/Low IFR Probability fields in RealEarth

May 25th, 2022 |

GOES-16 and GOES-17 Full-Disk IFR and Low IFR Probability fields are now available in RealEarth. IFR (Instrument Flight Rules) Probability estimates the likelihood that IFR conditions are occurring. You can view and animate real-time satellite IFR probability in RealEarth.

Finding IFR and Low IFR fields in RealEarth for GOES-16 and GOES-17 full disk.
Comparing GOES-17 IFR and Low IFR for 05-25-2022 at 15:10UTC, and animating GOES-17 IFR fields in RealEarth over Hawai’i for the last 12 available GOES-17 time steps (10-minute resolution from 13:10 to 15:20UTC).

SAR Wind data off the Pacific Coast

May 19th, 2022 |
SAR Winds over the Pacific Ocean, 0237 UTC on 19 May 2022, and GOES-17 Visible Imagery, 0240 UTC (Click to enlarge)

Synthetic Aperture Radar imagery can give very high-resolution observations of winds in regions where wind observations are otherwise sparse (or non-existent). The image above and below show data from an ascending pass of Canada’s RADARSAT Constellation Mission 2 (RCM2) satellite. These data are available online (click here for the image above, and here for the image below), but netcdf files can also be inserted into AWIPS for a direct comparison to other satellite imagery. The image above shows the increase in wind speeds (about 11 m/s) associated with a broken line of cumulus clouds, with stronger winds over the northwest part of the SAR domain. The later image, below, farther north, shows generally stronger winds, and it also shows local wind maxima out in front of cloud formations (in the southeast corner of the SAR domain).

SAR Winds over the Pacific Ocean, 0238 UTC on 19 May 2022, and GOES-17 Visible Imagery, 0240 UTC (Click to enlarge)

GOES World

May 18th, 2022 |
GOES-17, -18, -16 (West-to-Central-to-East) CIMSS Natural Color imagery at local noon, 15 May 2022. GOES-18 is Preliminary/Non-Operational (click to enlarge)

The image above (credit to Rick Kohrs from SSEC/CIMSS) shows Advanced Baseline Imager (ABI) data from GOES-17 (West), GOES-18 (Central, Preliminary/Non-Operational), and GOES-16 (East) on 15 May 2022. This “Local Noon CIMSS Natural Color” image is created by blending vertical strips of true-color imagery at local noon, starting in the east and proceeding westward. This was a rare opportunity for the GOES-R Series as GOES-18 was only at the central location (89.5W) for a limited time. A larger (5509×4207) version of this image is also available.

Other CIMSS Blog entries have introduced GOES-18, the latest in the GOES-R series. NOAA and NASA recently released the first ABI (Advanced Baseline Imager) imagery from GOES-18 (including this 2-min video). GOES-T was launched on 1 March 2022. Currently GOES-18 is “drifting” out west to be near the “West” position. GOES-18 is slated to become NOAA’s operational GOES-West in early 2023 (GOES-18 Post Launch Test and Transition Plan) after a thorough post-launch test period.

SSEC/CIMSS scientists (notably Rick Kohrs) create daily imagery that blends vertical strips of true-color imagery at local Noon, starting near the dateline and proceeding westward. Recent images are available at this website and include data from 5 geostationary satellites: Himawari, GOES-West, GOES-East, Meteosat-Prime, and Meteosat-IODC. There are multiple other blog posts featuring and explaining the local-noon composite.