A comparison of GOES-14 Visible (0.63 µm, 1-km resolution) and Shortwave Infrared (3.9 µm, 4-km resolution) images (below; also available as a large 71 Mbyte animated GIF) offered evidence that the cloud material within each “hole punch” was composed of ice crystals, which exhibited colder (lighter gray) IR brightness temperatures than the surrounding supercooled water droplet clouds. It is likely that many of the hole punch features were caused by aircraft ascending from or descending to the Charlotte Douglas International Airport in North Carolina (KCLT).In a comparison 1-km resolution POES AVHRR Visible (0.86 µm) and Infrared (12.0 µm) images (below), the cloud-top IR brightness temperatures in the vicinity of the hole punch features were only as cold as -20 to -24º C (cyan to blue color enhancement), which again is supportive of the cloud layer being composed of supercooled water droplets.
A closer view of the GOES-14 Visible (0.63 µm) images (below; also available as a large 85 Mbyte animated GIF) revealed the rapid motion of low-altitude clouds when gaps in the high-altitude clouds were present. Very strong winds were caused by the strong pressure gradient, with gusts as high as 72 mph, and a large Royal Caribbean cruise ship experienced some damage due to the winds (media report 1 | media report 2). The corresponding GOES-14 Water Vapor (6.5 µm) images, which also extend further in time after dark, are available here.A comparison of 1-km resolution POES AVHRR Visible (0.86 µm) and Infrared (12.0 µm) images at 2202 UTC (below) displayed greater detail of the classic “cusp” signature of high clouds, indicative of an intensifying surface cyclone (VISIT lesson). At the time, wind gusts to 60 knots were seen at one the buoys off the coast of North Carolina.
At 0137 UTC, a closed-off low level circulation center could be seen on a POES AVHRR Infrared (12.0 µm) image (below).
There are two animations a the top of this blog post, one with a 1-minute timestep, above, and one with a 15-minute timestep, below. The strong winter storm that hit Colorado on Monday 1 February (Blog Post) was accompanied by multiple cloud layers and snow during the day on Monday was not steady. Was it related to the holes that are present in the clouds? How easy is it to track the different clouds to predict the arrival, overhead, of a gap in the high clouds? Especially for the low clouds in eastern Colorado in this example, cloud hole tracking can be done with more confidence with 1-minute imagery. Decision Support related to short time-scale variability in snow accumulations can be done with more confidence with the 1-minute imagery.
On 7 February 2016, GOES-14 in SRSO-R monitored the development of a very strong storm over the Atlantic Ocean (blog post) east of the United States. Consider the animations below, starting with the standard GOES-East time steps (nominally every 15 minutes with some gaps). If you are monitoring the storm development, or the motion of the individual convective clouds, the 15-minute temporal gaps are insufficient for confident detection of cloud motions. When, for example, does the surface circulation first appear? Do the cloud towers that appear in the 15-minute animation persist over the course of 15 minutes, or do they decay and reappear? In the succeeding animations below, at 5- and 1-minute intervals, increasing amounts of detail are present because the better temporal resolution is convincingly following features. Additionally, the precise timing of events is better captured.
The differences between 1-, 5- and 15-minute time steps are visualized in the rocking animation below. The right-most panel has a 15-minute timestep always, the middle panel starts with a 15-minute time step before switching to 5-minute, and the left-most panel shows 15-minute, 5-minute and 1-minute time steps. Note how the convective towers appear and disappear on timescales that make resolution in the 5-minute time step difficult and in the 15-minute timestep impossible. The region below is excised from the animations above, and is over the ocean south of the developing low pressure system.
Farther to the south, as moisture from the Gulf of Mexico was drawn northward (GOES-14 sounder Total Precipitable Water derived product images) in advance of the eastward-moving cold frontal boundary (surface analyses) associated with the aforementioned Upper Midwest storm, areas of strong to severe thunderstorms developed across the Mississippi River and Tennessee River Valley regions during the afternoon and evening hours. GOES-14 Infrared Window (10.7 µm) images (below; also available as a large 208-Mbyte animated GIF) showed the cold cloud-top IR brightness temperatures (orange to red color enhancement) exhibited by the widespread convective activity.Taking a closer look at the severe thunderstorms which produced multiple tornadoes from eastern Mississippi into far western Alabama (SPC storm reports), GOES-14 Visible (0.63 µm) images (above; also available as a large 66-Mbyte animated GIF) revealed numerous overshooting tops; the counties where tornadoes were reported are indicated by their dashed red outlines. Another visible image animation from RAMMB/CIRA is available here. NWS storm damage surveys (Jackson MS | Birmingham AL) found EF-1 to EF-2 damage in both Mississippi and Alabama.
The corresponding GOES-14 Infrared Window (10.7 µm) images (below; also available as a large 37-Mbyte animated GIF) indicated that the coldest cloud-top IR brightness temperatures were in the -50º to -60º range (darker orange to red color enhancement), which was at or above the tropopause level according the Jackson MS and Birmingham AL rawinsonde data.