Cirrus over I-10 Cold Front, Cirrus, Anvils: Lake Charles, LA

Today was a very marginal day as a majority of the CWA was covered in cirrus and then later anvils from nearby thunderstorms. This inhibited much of the solar heating potential with the exception of a small corridor from Lake Charles to Lafayette along I-10. The thermodynamics was not impressive across the area with only 1000 to 2000 j/kg of CAPE. Much of the convective initiation relied on a weak cold front and a sea breeze. There were some thunderstorm complexes that had moved through the area which brought lightning concerns to our two DSS points. Towards the end of the afternoon we were finally seeing convective initiation along the cold front.

With clouds contaminating many of the satellite products, today was mainly focused on lightning cast, lightning stoplight, and seeing how they interact with each other. We found some issues with the stoplight product today. The stoplight product was putting an active grid box that was not co-located with the lightning strike that reported from the lightning detection system. In the image below there is a small purple cross outside of the lone red box.

Final thoughts:

Every product we worked with this week has potential to make an impact. From extending daylight rgb products using a solar zenith adjustment, to using lightning cast and lightning stoplight to help make DSS decisions. OCTANE is a massive improvement for helping to forecast the state of convection. While there are limiting factors like clouds, overall the product could quickly make an impact diagnosing convection and being able to see how correct the models are handling the shear profile. The 0.91 and 5.95 products when operational could be used as ground truth in order to identify the boundaries, and being able to compare that with the models will help with getting those first few storms correct.

-Blizzard

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Final Ops Day – LCH

Started off the day with a cold front moving north towards the Louisiana coast. As discussed previously, GeoXO products don’t do as well with an already cloudy area, however we were able to clearly pick out where the cold front was over the gulf using the 5.15 imagery. Beyond this, I did not use this product again for ops.

Figure 1: GeoXI Imagery on top, GOES imagery on bottom

When looking at the Day Cloud Phase Distinction around 1830Z, I noticed the SZA imagery was much easier to view in terms of picking out cloud top textures vs the MesoAnywhere imagery. On the same topic of SZA, we got to see SZA really shine by looking at an area of bubbling convection that occurred around sunrise. The difference SZA made was just remarkable. In real time operations, I would’ve viewed the SZA imagery for at least 45 minutes, maybe longer, compared to what we typically use.

Figure 2: MesoAnywhere (left), SZA added (right)

Applied the Stoplight product in AWIPS today, really enjoyed using that with the Earth Networks lightning and GLM. I did observe some spatial difference between the desktop version and the version in AWIPS. I realize this could be because I approximated the range ring in the desktop viewer since there is no lat/lon input option.

 

 

Figure 3: Stoplight Desktop (left), Stoplight AWIPS (right) – 1 minute apart timestamped 18:49 and 18:50 Z, respectively

I also observed that the Stoplight expanded in coverage once storms got stronger, which increased my confidence in using this product to assist decision markers. There was a substantial jump in lightning activity highlighted by all of the lightning products, and Stoplight’s footprint expanded in response.

Figure 4: 18:41Z (left), 19:11Z (right)

LightningCast also did a great job picking up lightning potential before seeing evidence of cloud top cooling.

Figure 5: LightningCast probabilities

Finally, there were numerous cirrus clouds/anvil debris over our CWA, so we did have a more difficult timing utilizing some of the OCTANE products, but I did want to highlight that the CTC product detected areas of cooling along a boundary that was pushing away from the complex of storms into an area not obscured with anvil debris. CTC also showed the core areas of the storm where more rapid cooling was occurring.

Figure 6: OCTANE CONUS Cloud Top Cooling

-simoom

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Overview: Week 1, Day 4

10 AM

Day 4 kicked off with another debrief session, with considerable focus on LightningCast and Lightning Stoplight for decision support. Near the end of the operations period yesterday we got the Lightning Stoplight tool into the HWT’s AWIPS-II instances (thanks to Justin, Jonny, Roger, Kris, and the rest of the Stoplight team for the hard work to get that done!). We talked about what products in AWIPS-II you could display with it, and some forecasters preferred to have the lightning information (GLM, ENTLN) while others didn’t. I’m hoping another day with DSS will better inform forecasters of these products, and using OCTANE and Synthetic GXI imagery in marginal/messy environments.

Picking our WFO locations was a bit easier today, but it was unfortunately from how limited the areas for convection were. A cold front had washed out much of the moisture and instability down to the Gulf Coast, leaving us with marginal convection from the 13 Z SPC outlook. You know it’s a meager setup when we had to request an ABI MESO domain for our area, and we were glad the SAB approved. We settled for Lake Charles, LA (LCH) and returned to San Antonio (EWX) in hopes of getting some semi-discrete convection in each. Both offices were again given two DSS events and encouraged to use the LightningCast Super Dashboards.

1PM

Operations kicked off and forecasters spent a good bit of time playing with LightningCast and the Lightning Stoplight tool together, and providing feedback to both sets of developers. Working with forecasters and developers, we made a few ‘flavors’ of the Stoplight tool in AWIPS by modifying the colorbar. Here’s the descriptions from the animation below:

  • Top left is default
  • Top right colors the flashes in the last minute as dark red
  • Bottom left changes the green to blue
  • Bottom right colors the flashes in the last minute as pink followed by a red, orange, yellow scheme

Forecasters had a positive response to the top right panel, and said that coloring the 0-1 minute flashes from GLM and ENTLN dark red in some ways removed the need to overlay those products in AWIPS, simplifying their display. I saved this display off as a procedure and hope to show future weeks and get their feedback too.

3 PM

The Synthetic GXI folks decided to show the forecasters WVT data from the METEOSAT-12 FCI, since it has the 0.91 µm band that GXI plans to add. Features such as fronts and low level moisture boundaries were identified and discussed.

4PM

We found an interesting case of CI near the Lake Charles, LA CWA, with anvil debris from upstream convection obscuring the convection from visible and infrared satellite imagery. The OCTANE cloud top cooling product had a hard time showing cooling until the updraft produced its first lightning. LightningCast v2 and v1 were also compared for their performance in this challenging scenario.

5PM
To end the day I went back and made another animation of the SZA product. This time I got sunrise over the CONUS (thanks Justin!) and showed some early morning convection across central TX, with a different cloud types and layers.

Even in the MRGL, we still had a full day!

-Kevin

Tags: None

Lots of Lightning

Got a little more time in with both LightningCast and Stoplight today being over RLX’s area. Learned today that you can add range rings in the Stoplight product. Kelley walked us through how to make adjustments to our display, such as changing the basemap and adding overlays if preferred. Feedback: One thing I noticed while using Stoplight today was I changed tabs for a little bit, came back and noticed that most of the pixels had disappeared. However when I zoomed out some, they re-appeared. I gave an early “all clear” because of this. Granted lightning was definitely on the downward trend, but once I zoomed out and the pixel repopulated, it repopulated within the 10-mile radius. Not sure what happened there if it was user error or what. Also not sure if this is something that can be added or not, but the ability to input a lat/lon would be awesome!

LightningCast: LightningCast did a really great job today, especially V2 with the ABI+MRMS. We observed that this version detected lightning much earlier over eastern Pennsylvania compared to V1. Our storms were more low-topped with much less instability, and we saw LightningCast pick up on the probabilities very quickly even when there was hardly a radar echo. The biggest feedback from today’s session was a lack of GLM data appearing in the Super Dashboard even though GLM data was directly over our DSS event in AWIPS. Lena explained that there are different GLM sources, and since my group was using density, that’s why it wasn’t showing up in the dashboard (at least I think that was the reason?) Regardless, we shared the feedback that it would be nice if those things matched to prevent confusion for the forecaster. On the plus side – I learned even more about GLM today!

OCTANE– Since we were in an area with lower instability, Jason recommended viewing CONUS OCTANE Speed as shear was good in the area. I was amazed at how well this product highlighted the convection. At a quiet point, we jumped down to Texas to observe the firing supercells in the SW, and noticed OCTANE had cooling cloud tops around 5 minutes before lightning cast picked up on it, so that was also an interesting observation. I continue to really, really enjoy using the CTC product with LightningCast overlaid. I would integrate this today into my normal every day DSS procedures in AWIPS if I could.

Figure 1: OCTANE CONUS Speed over WFO RLX

SZA played a huge role today, too, in helping me see the clouds at a higher brightness for a longer time than I normally would! The images below are just down right impressive. I don’t know any forecaster who wouldn’t want more time to have better visualization on satellite.

Figure 2: Pictured left: OCTANE Meso (no SZA), pictured right: OCTANE CONUS (with SZA) at the same time of 22:37Z

I had a harder time using GXI imagery today given all of the cloud cover already in place at the start of ops. It was difficult to make out areas of moisture on the 0.91. However I was still able to pick up on better areas of moisture with the 5.15

Figure 3: GXI imagery at 18Z focusing over WFO RLX

Just to add: Graphic created today for DSSm posted in Slack.

-simoom

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Impressive Lead Time A weak cold front: San Antonio, Texas

This afternoon had the potential to be fairly active in the San Antonio area with a cold front moving through the area and 3000 to 4000 J/Kg of CAPE. There was weak convection along the frontal boundary in the northern part of the CWA at the start of the “forecast period”. These thunderstorms remained north of the San Antonio Airport which was the site of an airshow. As the afternoon progressed it remained generally quiet for the CWA with the exception of a thunderstorm moving into the western portion of the CWA.

This aforementioned thunderstorm was handled extremely well by both OCTANE CTC and lightning cast. When CTC had begun to pick up, lightning cast quickly elevated lightning probabilities to above 50%. When both products began to highlight the area of concern, it was roughly 25 to 30 minutes before the first lightning strike was reported. This is highlighted in the GIF inserted below.

After the forecast period ended this thunderstorm finally moved southeast into an area where we were providing DSS. There was a similar relationship with the lightning cast probabilities as it moved into the area of concern. When it crossed the 50% threshold it was 35 minutes until the first strike. There was a weird artifact with V2 lightningcast where it was on an upward trend but briefly dropped before immediately increasing again. If we can continue to get these 25 to 35 minute lead times on lightning, especially for outdoor events, it will greatly increase the service we could provide to our partners and the public.

While cloud cover and model performance made it hard to use Synthetic GEOXO imagery. It was still correctly showing the cold front in roughly the correct location. There wasn’t a large change of moisture across the front, so it was very hard to identify in the 0.91 channel. This imagery still provides us another tool to look at, in order to identify areas of concerns for the afternoon.

-Blizzard

Tags: None

Big Ol’ Storms, Amazing Satellite Products!

Today’s focus for my group was over WFO FWD where discrete supercells developed, eventually congealing into a more linear storm mode. Being on the DSS desk today, I primarily used lightning products today, though I did peep at a few others. I wanted to take a moment to highlight the GeoXO 5.15/0.91 products for very clearly defining a moisture gradient over northeast TX that would eventually go on to be our focus point for CI.

Figure 1: WV/WVT/Itob/VISob Compare highlighting distinct moist/dry boundary

LightingCast:

Provided DSS using LightningCast V2 overlaid with OCTANE CONUS CTC. I really like using the products together as the increasing LightningCast probs nudge me to either contact or not contact an EM. Overall, I thought the product did very well. I did notice something odd in the dashboard that I spoke with the developer about – instances of GLM flashes were observed at a time there was a downward trend with LightningCast. Figure attached below.

Figure 2: LightningCast V2 vs V1

For documentation, here was the primary procedure I used today to make decisions:

Figure 3: OCTANE CONUS CTC w/ LightningCast (yellow circle is 8-mile radius DSS event)

Using all of the above mentioned products, here was a CWA graphic I put together:

Figure 4: DSS graphic

Feedback for Day 2

LightningCast: For the Dashboard, I feel like V2 did a better job than V1. The amount of variables being measured is a little confusing, and over time, I noticed I was more just looking at a trend rather than all of the different variables.

Stoplight: Though I never got to give the all clear for my DSS event, Stoplight matched up very well with LightningCast and radar trends.

OCTANE: Made some progress in terms of understanding some of the OCTANE products today, thank you for answering all of my questions, Jason! I really liked that we had 2 live weather events to compare the difference in the wind profiles with OCTANE. Yesterday, we observed a lot of greenish hues, indicative of stronger low-level flow. That element was a bit more lacking in FWD today, and the imagery corroborated that with more blue hues. Jason also showed us examples of cloud top divergence, with more blue/green colors indicating deceleration. After getting to know these products a little better today, I feel less overwhelmed by it.

GeoXO: I continue to be very impressed with this product’s moisture and boundary detection. The example I shared above was very impressive and mostly lined up with the 00Z HRRR.

SZA: Did not look at SZA today

-simoom

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April 27th Severe Storms – A Satellite Analysis

A large-scale, multi-state severe weather event is unfolding across the Midwest and Ohio River Valley, extending down into the Mid-South region. With a broad warm sector and CIN dwindling, the first focus was to watch for any discrete cells out ahead of the front that would pose an all-hazards risk. To get an idea of where the best moisture is and where any gradients between dry/moist air exist, I utilized the 4-panel that shows modeled GeoXO data vs GOES-19 imagery. This imagery did a great job highlighting the areas of best moisture and showed a clear distinction in dry vs moist air.

Figure 1: 4-panel layout comparing GeoXO Synthetic data (top) vs GOES-19 obs (bottom)

For monitoring potential discrete CI in WFO PAH’s area today, we utilized the CONUS OCTANE Cloud Top Cooling product with LightningCast ABI+MRMS overlaid. As we watched the cap continue to erode through the afternoon, I noticed “popcorn” like cumulus developing that exhibited rapid vertical motion as detected by the OCTANE satellite imagery. Most of the activity that started to develop, though, quickly fizzled out due to the cold front being so far behind. Still, this was an interesting observation and a utility I find very useful for DSS operations. Outside of our area of interest, we got to watch how rapidly discrete cells developed south of Kansas City, and learned that there is a correlation being studied between how cool a cloud top gets and how instability exists in the environment.

Figure 2: Left Image: 18:32Z, Right Image: 19:22Z

We also learned today that we can analyze low-level winds with the OCTANE Speed/Direction sandwich. For the WFO PAH area, we observed more directional shear with low-level turning of winds. In this instance, I turned off the Speed layer and only had the Direction layer selected. This highlighted the area where low-level shear was greatest.

-simoom

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Overview: Week 1, Day 1

9AM

Welcome to the testbed! Day 1 is usually when forecasters are just getting their feet wet with the products, but today they may get thrown into the deep end. The 13Z SPC Outlook features a Moderate Risk and large Enhanced-Slight Risk through the Mississippi Valley, driven by a 15% CIG2 threat. Forecasters will mostly be getting familiar with products and using AWIPS in cloud instances, but hopefully they will have plenty of good storms to observe today! Unfortunately we’re having issues getting the Lighting Stoplight tool into AWIPS, and it was only available online today.


1PM
We localized to Paducah, KY (PAH) and St. Louis, MO (LSX) with the expectation that semi-discrete thunderstorms would develop during our operations period. Unfortunately thunderstorms took too long to develop for PAH, but there was plenty of thunderstorms to the west across Missouri and north towards Illinois and Indiana.

We observed low level dry air from the Synthetic GXI data from a front and dry line that passed through western Oklahoma. It was interesting to compare the synthetic data from WVT and low(est) level water vapor at 5.15 µm against the observations from GOES-R in the split window difference and visible imagery at 0.64 µm. Some questions for the forecasters included how easy it was to identify features and boundaries in this clear-cut and more strongly forced scenario.

4PM

Later in the day our group also had a discussion about extremely large flashes as detected by GLM and the ground networks, and how (or if) they could be interpreted by products such as LightingCast or the Lighting Stoplight tool. Could LightningCast add lower probability contours? Would those contours add to noise and too many false alarms? How sensitive should users be to the appearance of probabilities?

6PM

To end the day, I saved off some animations of the SZA products. I tried adjust the Day Cloud Phase Distinction RGB recipe when including the Channel 2 and 5 SZA bands, so we will see how forecasters react to that product.
Kevin
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