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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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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