Crisscross small-scale cloud wave patterns over the American Midwest

Filter by


EUMETSAT Users Twitter

RSS Feed

RSS Icon Image Library

The GOES-16 satellite observed multiple intertwined wave patterns in the cloud field in September 2018, at the advanced resolution of 500 m.

Crisscross small-scale cloud wave patterns over the American Midwest
Date & Time
24 September 2018 13:12–16:52 UTC
High Resolution Visible (HRV), 24hr Microphysics RGB

By Ivan Smiljanic (SCISYS)

Very complex wave patterns were observed over the US states of Nebraska and Kansas. Stratus fields that formed during the night hours started to take different wave forms during the day.

Interesting dynamics of the cloud formation/dissipation in the area of interest can be observed through animated imagery combining the high resolution visible (HRV) 0.64 µm channel and 24hr Microphysics RGB (Figure 1, top right, click to expand, and Figure 2).

Figure 2: HRV (0.64 µm channel) and 24hr Microphysics RGB animation, 24 September 13:12–16:52 UTC

There were four emerging wave patterns, focused at designated areas on Figure 3 (slider left):

  1. Cyan area (1): Gravity wave clouds (stretching W-E direction) formed due to the main low level south-southwesterly atmospheric flow (confirmed with near-by radiosounding measurement) that moved over the elongated (west-east) Kansas topography.
  2. Green area (2): Wave pattern with very small distance between the crests (roughly 1 km) in a form of the cloud streets over almost perpendicular wave pattern in area 1.
  3. Purple area (3): Dominating wave pattern of cloud streets that formed in the stratus field (which formed in the area during the previous night) that takes up the majority of the domain. This is a similar wave pattern to that in area 2 (similar dynamics), but with ‘bigger’ wave, that follow the main low level flow.
  4. Yellow area (4): Gravity waves that formed as result of the advection of a Rossby wave from the north that moved towards the south east. This is the ‘biggest’ wave pattern in the domain with 8–10 km distance between wave crests, elongated in the south west-north east direction.
Image comparison
Res: 1km Res: 500m
Figure 3: Comparison of combined HRV (0.64 µm channel) and 24hr Microphysics RGB imagery at nominal resolution of 500 m (left )and 1 km (right).

Comparing the imagery at 1 km (highest Meteosat Second Generation SEVIRI instrument resolution) and 500 m (future Meteosat Third Generation (MTG) Flexible Combined Imager (FCI) instrument capability) (Figure 3), it becomes obvious that very fine scale waves are only detected at 500 m resolution. The wave patterns in areas 2 and 3 are barely visible.

In area 5 (red box) on Figure 3 one can see the example of possible misleading information inferred from satellite data. In the reduced resolution image it appears (most vividly in area 5, but not only) that the alignment and the distance between waves becomes different when comparing to the original image (at 500 m resolution). In another words, suddenly there are different clouds waves appearing when reducing resolution of the image (‘wider’ waves leaning to the left). In this case this is most likely due to a re-sampling of the pixels done by visualisation software. But the question is if these artefacts may also be caused by the specific sampling of the instrument itself or, for instance, by processing of the data.

Zooming in to almost pixel level over some parts of domain (Figure 4 and Figure 5) the resolving power of higher resolution imagery is more vividly shown, the lines in the annotated imagery reveal the approximate position of the cloud waves (taken from random sub-areas of the observed domain). Note: nominal resolution of 500 m translates roughly to pixel size of 0.8 x 0.6 km (lat/long) around the observed domain.

Figure 4: Highly zoomed-in view over the cloud wave patterns in part of observed domain through HRV (0.64 µm) channel, 24 September 14:02 UTC
Figure 5: Highly zoomed in view over the cloud wave patterns in part of observed domain through HRV (0.64 µm) channel, 24 September 14:02 UTC
By continuing to use this website, you are giving consent for EUMETSAT to store certain information about you. To learn more about what information EUMETSAT collects and how it is used, please view our Terms of Use page.