LJDA Sigma Jump of 7 and 5 Fail to Produce Impacts

At 1842 and 1843Z, the LJDA signal 7 and 5 sigma jump, respectively, which caused me to take notice (see image #1 below west of “Wayne” county name). On closer inspection, the raw data suggested a movement from 10-13 strikes per minute to near 20, then into the lower 30s over those 2 minutes. A radar image is also included from the case depicting the storm collapsing and never producing significant weather. Reflectivity data was unremarkable and ProbSevere remained in the 30s. No action was taken by the warning operator.

Is it worth using total strikes as a background filter when STD values are so small, and total strikes are < 20, in order to reduce FARs?

Rocky

1843Z_LJDA_7sigma

1843Z_LJDA_Ref2056Z

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Nearcast Model Aides in Forecasting Severe End Time

The Nearcast model vertical instability product had cloud/missing data issues, but still was able to provide some good timing on the eastward progression of the front through the Morehead City forecast area. Note the light blue pixel area (unstable), albeit only a small group of pixels, shifting east in the loop below.

This timing can help with severe weather staffing at a forecast office and with DSS messaging to customers.

RockyNearCast_Times_ConvectiveEnd

 

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Towering Cu 1 min SRSOR data

The 1-min SRSOR shows a towering cu over the ILM forecast area this afternoon. Out of all the scattered showers/thunderstorms, the 1 minute data easily shows which thunderstorm is rapidly growing. The KLTX radar data confirmed by 50 dbz up to 28 kft. The lead time by the SRSOR was probably 5 to 10 minutes ahead of the radar data.

1min_sat_ILM

ILM_radar_towering_cu

 

George

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Deep thoughts on CI product

Sometimes CI is good. Sometimes CI is bad. -The End

Based on use over the past 4 days the product seems to be most successful in cases of isolated to scattered convection earlier in the day. In cases of more widespread convection with complex storm motion and multiple cloud decks moving in multiple directions it seems to get “confused” and becomes less reliable and less useful overall.

I do think it’s biggest strength is in helping to maintain situational awareness about developing convection…especially during the early stages of a convective event.

-snowstrm

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CI Hampered by Cirrus Shield

Working on NC, and looking for developing cumulus, CI seemed as though it was ‘turned off’ due to glaciation over a large part of the area with underlying boundary layer cumulus.

CI was overheard saying “I am so turned off by ice clouds”

Rocky

 

CI

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GOES-R LAP algorithm performance in MHX

17z GOES R LAP algorithm cape field (fig 1)had best utility on picking up on instability in areas with thin cirrus (fig2).  Due to developing convection along the cold front and convective debris…areas further to the west had lower detected CAPE values. In actuality…the depicted tight instability gradient and target for convective development should have been about 100 miles to the west as seen in fig 3 (SPC mesoanalysis) Something forecasters have to keep in mind with this product.

Fig 1

LAP cape mhx 17z

Fig2

17z satellite mhx

Fig 3

 

Screenshot-SPC Hourly Mesoscale Analysis - Mozilla Firefox

Pickles

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UAH Convective Initiation Success

The 1815 to 1830z UAH Convective Initiation probabilities for a line of towering cumulus along the cold front along NC/SC border spiked from 40 to 70 percent. 20 to 30 minutes later, the KLTX radar showed a developing thunderstorm for that cluster.

CI_radar_2

CI_radar_1

 

George

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