Friday, May 27, 2022
Louisville KY WFO Observations During DSS
ILX Ramblings
A comparison of NUCAPS at 19Z with observed/analysis products from SPC showed good comparison for both modified and unmodified data. Below shows the unmodified NUCAPS sounding that was “green” over the north-central portion of the ILX CWA. The MLCAPE was around 500 J/kg, with DCAPE around 690 J/kg, freezing levels just below 10,000 feet, and PW’s around 1.1 inches.
A modified NUCAPS sounding for the same location showed an uptick in MLCAPE to around 600 J/kg, along with similar PW’s, DCAPE and freezing level.
A comparison with SPC mesoanalysis at 20Z showed very comparable PW values, between 1.1 to 1.2 inches over north-central IL, and freezing levels between 10 to 11 kft. As for MLCAPE, it appeared that for both modified and unmodified NUCAPS, the observed was higher than NUCAPS, around 1000-1500 J/kg, perhaps not having a high enough surface dewpoint. As for 850 mb temperatures, they were comparable to those observed, in the 12-14 degC range. DCAPE was also comparable in NUCAPS with what the SPC mesoanalysis page was showing, between 600-700 J/kg.
With regards to lightningCAST, ProbSevere, and GLM, around 1932Z, once again the LightningCast was showing good lead time for areas downstream of storms. The main cell at this time I was watching was in the southeast Part of our CWA, which had a nice contour of 75% to the north and east of that cell extending well north of the storm core.
At 20Z, the Optical Flow divergence field appeared to match up well with observed convection at this time. It thus showed quite well with the shear field.
ProbSevere’s time series graph continues to show added value, allowing the forecaster to see the trend in a storm's severity and probability of severe potential. This image was at 20:40Z.
Around 21Z, I noticed a jump in GLM FED for the area of storms in the northwest part of the CWA. Alongside this, the GLM TOE also increased, along with a decrease in MFA with the same storm cell. This area corresponded with increased flash rates in the EarthNetworks. I modified the GLM FED scale to 20-25 as a maximum to see the activity better, as well as lowering TOE to 50 as a maximum.
Around 22Z, the GLM TOE showed a good correlation with the 3 strongest storms based on dBZ and ProbSevere, one to the north, and two in the far southeast, bordering Indiana. For this display of TOE, I lowered the contours to a max of 50, which seemed to work well.
Around 22:12Z, the LightningCast showed an uptick in probabilities of 75% north of a cell that was starting to show towering CU on the day cloud phase. This was before GLM and ground-based radar showed uptick in lightning activity.
Are the edges of LightningCast contours related to the detection of GLM? See below image…The contours do not close off.
Snowfan
Overview of severe weather and products for GSP
An interesting day today. Initially it did not look super favorable for severe weather, with the primary threat being wind. In the end, there was some of that along with scattered hail, but weak tornadoes were the biggest issue.
Lets start with some product evaluation. Here are screen shots in order for 21z and 22z. In each case the LHP is shown first, then HRRR, then SPC analysis. This is for CAPE at 21z and STP at 22Z.
22z
You’ll notice that the HRRR and PHS agreed well and had the right idea. The CAPE in the PHS was higher and closer to reality, but the locations were off. In the end the peak was in the middle of the CWA. Still, not bad. Similar obs can be made for STP.
Considering Prob Severe it seemed low on the tornado threat for most of the day but generally did pick up on the emerging tornado threats to a degree. Wind seemed to be running a little hot overall with only 1-2 reports but numerous storms showing decent wind probs.
This shows a few of the Prob Severe time series for possible tornadoes that were warned in real life. Day cloud phase and GLM were useful in seeing these emerging storms before they produced potential tornadoes.
This storm did eventually produce a wind report and had the highest prob wind all day.
Here is a GLM example showing the min flash area alerting me to threats before FED was showing too much.
Lastly, it is interesting to consider why we had such a prolific number of weak (potential) tornadoes along the boundary in the middle of the state. It was not particularly impressive of a set up, but something about it was quite favorable in the end. See below with up to 4 circulations at one time. (Real warnings plotted)
Some Random Guy
Thursday, May 26, 2022
LightningCast for a PGA event
Lightning was a major concern for a PGA event southwest of Lexington, KY. It was a tricky situation, with lots of high cloud cover, but LightningCast gave a fairly consistent signal of high lightning probability near the site (the black "H" in the animation below). One HWT forecaster noted how the probabilities ramped up before the GLM indicated that lightning was advecting toward the event. LightningCast, used with other forms of lightning guidance and interrogation, can help increase situational awareness and confidence for DSS situations.
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| Figure 1: LightningCast contours (10%, 25%, 50%, 75%), GOES-16 GLM flash-extent density (shaded blue to yellow regions), and GOES-16 ABI Meso2 Day cloud convection RGB (background) |
ProbSevere v3 improving upon v2 in Indiana and Illinois
ProbSevere v3 (PSv3) was providing improved guidance to HWT forecasters in Northern Indiana yesterday, compared to ProbSevere v2 (PSv2). Along and south of a warm front, PSv3 was consistently 20-30% higher, with ProbWind showing the highest threat. The shear and CAPE were marginal in this environment, and the lightning and radar-reflectivity parameters were meager in most of the storms. However, the low-level wind field (evident in ProbSevere's 1-3 km AGL MeanWind predictor) was quite favorable for a severe wind threat (30 - 40 kt).
Below are several sampled storms in AWIPS showing much higher PSv3 values, compared to PSv2. Each of these storms went on to produce one or more severe wind reports. A post-mortem analysis of each storm revealed that the 1-3 km MeanWind, the 0-3 km lapse rate, and the STP (effective layer) were among the most important predictors for these storms. The normalized satellite growth rate was also a strong contributor, as well as the ENI lighting density, in several stronger storms.




