This is a 12-month animation of color-enhanced images from NOAA’s GOES East geostationary weather satellite. It covers all of 2009 except for brief periods when my internet connection or my computer were down.  The date and time of each image is at the upper left, if it survives YouTube’s reencoding of the video.  This is a bit long, but here it is for the record:

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This video is made from infrared images, which measure heat radiation, so what you see here is basically temperature. The color is artificial (obviously!) and is used to enhance the contrast between different temperatures. The temperature is significant because severe weather is usually associated with convective systems which generate tall clouds, and the tops of tall clouds are colder than the tops of low clouds. But that daily pulsing you see isn’t necessarily clouds, as discussed below.

Note that the credits at the end of the video have an error in the URL of the original images, which should be http://www.goes.noaa.gov/GIFS/ECI7.JPG.

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It was a bright but rainy day at the height of the fall colors, so we took a Sunday drive out to the boonies.  I took the camera, but didn’t use it, though the trees were very colorful.  Fortunately, I did take the GPS!  This video shows the location of our car on a map in relation to the weather as we drove along.  If that sounds boring, don’t worry, it has an epic soundtrack thanks to Free Music by DanoSongs.com.  Note that the time scale in this video is not constant, as explained in the production notes after the break.

We’d never been to Hermann before, so we stopped at the winery.  It’s a very picturesque town, but  it was infested with Oktoberfest tourists, and we didn’t stay long.  Much later we stopped in Cuba for a fast-food dinner after deciding to try to beat the storms out of Rolla.  It was dark by then.  There was some spectacular cloud-to-cloud lightning to the north of the highway on the way back to town, before the rains caught us again.

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Looks good full screen.  I wonder if YouTube does a two-pass reencoding?  This looks a lot better now than when I first uploaded it.

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A new time lapse video is up on youtube covering a week-long weather pattern in the southeastern section of the country that resulted in several derechos.  The storn on the 8th of May has been called an “inland hurricane”.  There was a lot of damage over a wide area and a few deaths.  While not a tropical event like a real hurricane, it did have the winds and, apparently, some structural features of a small category I hurricane. The National Weather Service office in St. Louis has a page about the event, and  Stu Ostro, a meteorologist at Weather.com, has a good blog post about it.

What prompted me to make this video so long after the fact was a visit to Johnson’s Shut-ins State Park in Missouri.  I drove in from the south, through Lesterville.  That area was hit by a microburst with winds of 100+ mph (161 km/h).  The National Weather Service in St. Louis says that in the affected forests up to 80% of the trees were felled.  The drive through that forest along Hwy N south of the park is amazing and sad.  The area right around the most visited portion of the park was fortunately spared from the most damaging winds.

The only radar archive I have of this event that I can share is of radar-only transparent GIFs from the NWS, and for some reason I’m having trouble compositing those onto a white map.  I have a script from my Blue Marble experiments that successfully composits them on a projected portion of that image, so that’s what I made the time lapse from.  It doesn’t really affect what you can see from a weather perspective, but the ground clutter blotches are even more annoying against a darker background.

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Update 8-Sept-09: I have reprocessed all the radar frames to minimize the noise from ground clutter.  The new, improved video is what is  embedded in this article now.  The original is here on YouTube.

What are those flashing, oscillating spots or blobs on radar animations?  Short answer: noise.  NOAA has the long answer.  In part:

Echoes from surface targets appear in almost all radar reflectivity images. In the immediate area of the radar, “ground clutter” generally appears within a radius of 20 nm. This appears as a roughly circular region with echoes that show little spatial continuity. It results from radio energy reflected back to the radar from outside the central radar beam, from the earth’s surface or buildings.

Under highly stable atmospheric conditions (typically on calm, clear nights), the radar beam can be refracted almost directly into the ground at some distance from the radar, resulting in an area of intense-looking echoes. This “anomalous propagation” phenomenon (commonly known as AP) is much less common than ground clutter. Certain sites situated at low elevations on coastlines regularly detect “sea return”, a phenomenon similar to ground clutter except that the echoes come from ocean waves.

Radar on Blue Marble image

Radar on Blue Marble image

In many national radar animations you can see these blobs of ground clutter reflections sweep across the US from east to west, and the timestamp shows that happens mostly at night.  I guess that must be what they talk about in the second paragraph quoted above.  Follow the link for more information about NOAA’s radars and what you see.

This noise is annoying when displayed on the white map of the US.  It is very annoying when displayed on the Blue Marble map because the noise contrasts so much more with that background.  It’s really too bad that NOAA does not provide radar images with the noise removed.

The ground clutter reflections can be effectively removed, a fact demonstrated by many (most? all?) commercial weather services.  I have made some really amazing looking time-lapse videos with radar images from Weather Underground.  Unfortunately, those images are copyrighted, so I cannot in good faith redistribute the videos made from them.

Could I remove the clutter?  Playing with an image in GIMP makes me think that eliminating all pixels at or close to white would help a lot.  I don’t think I can do that with the command line tools I use (mostly ImageMagick).  Writing a program to do so might happen some day.  It would probably look  for pixels with a high value and very low saturation, i.e., very close to white.  That algorithm wouldn’t get the blue that shows up close to the radar, but just removing the surges of white would help a lot.

Update 1-Sept-09:

Actually, it looks like it might be pretty easy to remove the noise by looking at hue and saturation.  The problem is getting the right headers and libraries on my main development systems.  Right now I’m in dependency hell, it would appear.

Update 8-Sept-09:

See this post about the solution.

Radar on Blue Marble image

Radar on Blue Marble image

This is a test run of the nation-wide (lower 48) weather radar animated on a Blue Marble image, with state outlines.  The YouTube link is here, and it’s embedded below, along with a short discussion of the necessary steps to make it, and what could make it better.

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