Warning vs DSS – “WFO DMX”

It was interesting when comparing the Warning side of the house today versus the DSS side. When we (Cumulus and Kadic) were discussing this and picked two of the tools we used the most, there were similarities and differences:

For Warning Ops: OCTANE and LightningCast

OCTANE proved very useful in interrogating convection. LightningCast was also a helpful diagnostic tool in highlighting the potential for and track of intense convection when used with ProbSevere.

OCTANE:

Here’s a look at 2 particular instances from OCTANE:

A combination of cloud top cooling in OCTANE and subsequent divergence aloft was a helpful clue in assessing the potential of a storm that was distant from the radar. It was caught a little later in analysis, but OCTANE proved helpful in diagnosing the storm and deciding to pull the trigger.

 

 

This next instance was a warning that was issued solely using OCTANE and seeing how well it lined up with radar. The warning targeted the center of where the maximum storm top divergence was taking place, and then stretched down towards the south to account for parallax. The warning decision was made for the impressive cloud top cooling and pronounced divergence that appeared in the scans leading up to the warning. The panel on the top left shows the OCTANE speed, and it transitioned to a blue color leading up to the event.

 

 

LightningCast and Radar:

As the line shifted east into the area, ProbSevere stood out, while the LightningCast steadily increased. The left hand panel depicts GREMLIN, and it properly highlights the southernmost storm as being the most intense. Unfortunately, not every storm that we issued warnings for got a specific screenshot, but when looking at LightningCast, areas that were likely to experience 10 or more flashes with a 70% probability seemed to correspond well with ProbSevere values would support issuing warnings.

Below is the example of what MRMS looked like the moment DMXSVR005 was issued solely based on OCTANE. Much of the SVR encompassed the highest LightningCast values with a probability of 10 flashes of 70% in yellow and the various ProbSevere contours. Again, this highlights how useful these tools can be in performing storm interrogation. However, when thunderstorms are numerous, this may be a lot to run through. They are definitely useful tools in the tool belt, though.

For DSS: LightingCast (especially the Dashboard) and GREMLIN/GLM.

– LightingCast: I REALLY like the form and Dashboard. It helps focus on the DSS site specifically and organizes the data really well to where I would feel comfortable explaining/showing an EM the graph of   lightning probabilities. Honestly, I could bring this back to my home WFO right now and use this for DSS events this summer. A couple things that could be added to make it even more awesome: adding more options for ranges (right now there is only 10 miles, perhaps adding 15 and/or 20 miles). Folks could then choose which to display in the graph. The other thing (fairly minor), perhaps reversing the size of the bubbles for the GLM data (smaller range, smaller bubble). But, this is personal preference – maybe if this could be customized by the user like the colors?

– GREMLIN/GLM: GREMLIN followed the storms a lot better today (seems to do better with more intense storms versus run of the mill/sub-severe ones). I used a two panel display with GREMLIN on the left and MRMS on the right with GLM and LightningCast and compared the two. I used time of arrival for the storms to 10 miles outside the DSS event and also at the site itself. GREMLIN was able to keep up with MRMS really well! I am becoming more and more convinced that this could be a really great product to help if a radar goes down or there is a radar hole (in data).

Overall, it seems as though OCTANE was used more for warning ops versus DSS, but LightningCast was used by both the warning operator and DSS forecaster.

Forecasters Cumulus and Kadic

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Using GREMLIN and LightningCast for Warning Ops and DSS

GREMLIN continues to perform well with regards to the overall picture of precipitation and convection. In fact, in the example below, GREMLIN seems to be catching on to the northern extent of the line breaking apart and the southern portion becoming more intense. However, it seems to be a bit slower than the MRMS data.

LightningCast could be more useful in this case if the thresholds were modified (25 flashes versus 10) to better identify and focus on the more intense convection.

LightningCast overlayed on GREMLIN emulated radar (left) and MRMS Composite Reflectivity (right)

Looking at the LightningCast dashboard for our DSS event, probabilities of lightning are increasing. I found that this is actually an easier way of being able to communicate lightning probabilities for a site (or a range around the site) versus using the map (seen above). This would allow me to let an EM or site official know that probability of lightning is near 80% for 10 miles form the site (within the next hour) and 50% at the site itself.

 

LightningCast Dashboard for Belin Quartet Summer Concert Series (Des Moines, IA)

We provided valuable support. A message was sent nearly 45 minutes ahead of time following the issuance of a Severe Thunderstorm Warning to the west.

If our partners are simply looking to delay, LightningCast may also prove helpful in giving the all clear if you don’t see anything upstream on radar. The values react well as convection clears the site. This is also great in helping you know for sure when the last lightning flash took place, and it can help us give better information.

 

Forecasters Cumulus and Kadic

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Collection of Day Two Thoughts

Day 2 has featured more convection, and has been a helpful day testing these products and how they help in warning operations. Although I might not feel confident making warning decisions solely based on any of these tools, I think that each tool provides a valuable piece of information.

Pre-Storm

To keep things short here with all the observations, PHS was very helpful today in showing how the QLCS situation would evolved with several areas of embedded rotation. Having CAPE with SRH together showed how these came together, and in conjunction with velocity highlighted rotation updrafts within PHS. This proved to be a helpful pre-storm evaluation. A few storms began rotating, and then everything began rotating as the PHS model indicated.

 

Observations Related To Warning

The developing squall had a linear appearance at first. As time progressed with more embedded areas of rotation, this became a lot less neatly organized.

Here is a look pre-warning for a tornado warned cell with ProbTor increasing up to almost 40 before moving off the point.

 

 

A zoom in on an impressive overshooting top. Sorry for the reverse loop.

 

Here is a V-notch like structure. Though it doesn’t correspond with a radar V-notch, it does indicate how strong an updraft this was.

 

 

And here’s the radar look of that, which appears to somewhat match the configuration seen aloft.
Interesting Signals

 

One thing to note early was that the PHS forecast had a lot of convective debris lingering in Iowa that was not present in reality. This does not appear to have impacted the instability parameters very much.

We’d mentioned looking at the dewpoints for the tendency for aggressive convection. But it only seemed slightly high compared to reality.

We did have a blob near Sioux City on Gremlin that didn’t really correspond with any signal on radar, and it didn’t seem to have satellite signal to go with it. Not sure where it came from, but we were able to see it was erroneous.

 

Here’s a look at GREMLIN with waves and wobbles following the GLM lightning.

 

 

Here’s another fun look at where it seemed the convection on the northern flank may have affected GLM quality with values decreasing on the north side. Note the reversed image loops.
Here’s an instance where GREMLIN’s max intensity happened before a lightning jump. Unfortunately this is reversed, but GREMLIN struggled to resolve an intensifying storm in the middle of the line.
Here is an example of GREMLIN losing a cell in 3 surrounding cells.

Kadic

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Lightning Cast at Initiation near St Joseph MO

Wanted to provide an assessment of LightningCast on the cells developing on the KS/MO border. This is the same area of initiating convection previously mentioned in the “Tracking Convective Development…” blog post. This post will focus on the storms moving between Kansas City and St Joseph.

Lower probabilities for Lightning Cast (10% to 25%) began appearing for these particular storms as early as 1856Z. Probabilities for 10-flash began appearing after 1922Z.

The first cloud flash detected by ENTLN occurred at 1924Z. The first flash detection by GLM was at 1928Z. The first CG strike (NLDN) occurred at 1946Z.

All in all, Lightning Cast provided a considerable amount of lead time, which I found to be useful.

 

The Lightning Cast time series for KSJT (airport near St Joseph) also showed a steady increase as these storms approached and strengthened, with lead times. Probabilities increased above 50% about 10 minutes before flashes began being detected near KSJT.

–Insolation

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OCTANE CTC/CTP Near St Joseph MO

Examining the qualitative appearance of OCTANE Cloud Top Divergence (CTD) and Cloud Top Cooling (CTC) products with storms near St Joseph MO.

First image: 2001Z. A series of updrafts is noted, several with mature CTD signals in blue/purple/red. Most notably is the signal over Leavenworth/Platte counties (largest CTD signal, near the bottom). The CTD signal here is large and mature, which implies a very strong updraft relative to the other storms in the area. The size of this feature does matter, as it implies the updraft (and thus the outspreading of the anvil) is very strong relative to the others. To add on to this, there is a CTC signal (green dot) associated with an overshooting top. This indicates that even though this storm has already produced a significant updraft, it continues to produce an overshooting top, implying the updraft is still strong and mature.

10 minutes later, things have changed. The image below is from 2011Z. Now, the CTD signal has spread out considerably and it appears the storm has past maturity. The more fragmented / strung-out appearance of the OCTANE CTD signal is a sign that the storm is likely weakening. There is also no longer a CTC signal associated with that particular anvil. Rather, it appears a new CTC signal (a new updraft) is going up on the southern flank. This is a sign that these storms are cycling and have more of a multicellular mode than a supercellular mode at the moment.

 

 

–Insolation

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Using OCTANE cloud top divergence for severe development situational awareness

The OCTANE cloud top divergence product offered situational awareness in the development of a severe thunderstorm north of Kansas City. While the pink and purple values in the cloud top divergence increased, radar data at the base tilts showed little signal of intensification. There were signs of intensification aloft on the KEAX radar, but the OCTANE product allowed for a more easily available signal of growth aloft if the forecaster wasn’t moving through the radar tilts at the time. About 10 minutes after the first image below, a warning was issued as the storm aloft fully matured.

 

 

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OCTANE Speed Assignments in Montana

An area of thunderstorms over southern Montana was examined using OCTANE and other satellite imagery.

Of interest in particular is the storm over western Big Horn County. The day cloud phase loop (bottom right) shows that this is a slow-moving thunderstorm, but there is also a bunch of patchy/streaky high cirrus moving much faster over top of it. Looking at the OCTANE speed sandwich (top left), it appears that the convective updraft was assigned the speed of the faster cirrus (yellow/orange, ~80kts). In reality, this updraft is moving much slower. For the sake of comparison and verification, notice the two updrafts over Stillwater County. These updrafts appear similar in nature based on the day cloud phase imagery, but the Stillwater County storms do not have any high cirrus contaminating the signal. As such, they are assigned a proper velocity on the OCTANE speed sandwich (green, ~30kts). There are also some artifacts in the divergence (bottom left) with the Big Horn County storm.

–Insolation

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Learning the Ropes – GLM DQP Applications!

GLM DQP: learning about its application – where data might be suspect or questionable. Where convection/GLM is along the line/boundaries could be such areas. Although not in Cheyenne’s CWA, saw an example over Cuba of pink pixels (at or near saturation), but could see lightning detection around it. This was an area near one of the boundaries (pink pixels were right along the line).

GLM DQP 1949Z over Cuba 20 May 2024 – pink (at or near saturation) pixels along boundary line

 

Forecaster Cumulus

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GLM Glint in South America / Panama

A glint was observed on various data sources tracking westward across northern South America and Panama between about 1630Z and 2000Z on May 24.

The glint is plainly evident on visible imagery (bottom right) and GLM Background (top right). On the GLM Data Quality, you can witness pixels that reach saturation over South America (directly related to the glint) — but there is also an area of convection that gets to near saturation over Panama. It appears that the most direct sun angle roughly coincides with the mature phase of these thunderstorms over Panama, leading to a period of near-saturation that eventually fades as the convection weakens. Convection can be confirmed by the presence of GLM flashes, but there does appear to be a relative min in GLM flash detections coincident with the near-saturation area.

 

–Insolation

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Terraced SBCIN PHS Product in SW Kansas

At 22Z (5hr forecast) the PHS SBCIN product was showing a terraced appearance in SW Kansas. Maximum values were above 350, dropping to around 100 (blue/purple) a couple counties to the north. Between the two, there is the appearance that SBCIN decreases then increases again. Wanted to document this to see if there is a known cause for this appearance in the PHS data.

 

–Insolation

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