Several isolated storms in South Carolina tapped into some better bulk shear, becoming better organized, as well as threatening. ProbSevere v3 (PSv3) highlighted elevated probabilities of severe before version 2 for the three storms shown here.
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Figure 1: Animation of ProbSevere, MRMS MergedRef, and NWS severe weather warnings for several storms in South Carolina yesterday afternoon.
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The first storm, northwest of Myrtle Beach, SC (Figures 2 and 3), had PSv3 hovering in the 20-40% range for a while before increasing to 60% and then later to 70%. In the 50 minutes before the official NWS warning, PSv2 was mainly under 10%. The MRMS VIL (32 g/m^2), 0-3 km lapse rate (8.2 C/km) and MRMS 3-6 km AzShear were leading contributors to the PSv3 probability at 19:00 UTC, when PSv3 was about 40% and PSv2 was 8%.
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Figure 2: A storm in eastern SC that downed multiple trees. |
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Figure 3: PSv3 and PSv2 time series for the storm highlighted in Figure 2. |
A second storm, northwest of Charleston, SC, took a while before becoming severe and dropping silver dollar-sized hail. PSv3 remained in the 30-40% range for a while (owing to a favorable environment), while PSv2 was < 10 %. The probabilities in the 30-40% range early on better conveyed the severe threat that this storm would soon exhibit. The VIL (37 g/m^2), 0-3 km lapse rate (8.8 C/km) and the satellite growth rate (moderate) were leading contributors to the enhanced probability of severe early on in this storm's lifetime.
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Figure 4: A storm northwest of Charleston, SC, which dropped large hail. |
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Figure 5: PSv3 and PSv2 time series for the storm highlighted in Figure 4. |
A third storm, which followed in the wake of the storm NW of Charleston, SC, also exhibited higher severe probabilities (in the 20-40% range) well before PSv2 latched on to it. This storm went on to produce numerous wind damage reports as well as some large hail. In a similar refrain, the VIL, low-level lapse rate, and satellite growth rate all contributed to the higher probability of severe early on (with the 3-6 km AzShear and composite reflectivity also aiding). The PSv3 models are able to find connections between the observed and environmental predictors in a more robust way, compared to PSv2.
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Figure 6: A third storm in South Carolina, producing numerous wind damage reports. |
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Figure 7: PSv3 and PSv2 time series for the storm highlighted in Figure 6.
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Forecasters at the HWT have been able to use a time series tool in the ProbSevere AWIPSII plug-in. The more accurate ProbSevere v3 models, coupled with instant access to storms' time series history will hopefully aid forecasters in the warning decision-making process.