Lack of Lightning Jump Today

LackofLightningJumpThe image above is a screen capture of radar and lightning data centered over the OHX (Nashville) CWA at 21:54z. Today we evaluated the Lightning Jump Detection Algorithm since the OHX CWA was within coverage of the Northern AL Psudo-Geostationary Lighting Mapper.

In the four panel above focus on the top two panes where the top left has 0.5 reflectivity from OHX radar overlaid with the Lightning Jump Detection Algorithm (Grey) and 5 minute NLDN Cloud-to-ground lightning data (+ and – in red). The grey of color of the Lightning Jump Detection Algorithm only indicates 0-1 sigma or 0-1 standard deviations of the previous 10-minute change in flash rate. Significant jumps (increases in sigma) in lightning activity are correlated with severe weather. The top right pane shows OHX Enhanced Echo Tops. The convection observed in the top right pane was a low-topped QLCS as indicated by Enhanced Echo Tops of only 20-25kft. During the evaluation period of 20-22z no significant lightning jumps were detected due to the low-topped nature of the QLCS. Had the storm updrafts and tops been taller (upwards of 40-50kft) then lightning activity including jumps may have had a better chance of occurring.

Shawn Smith

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In an otherwise stable environment…

The OT detector caught one spot amidst a long line of moderate rain and thunderstorm activity moving through Tennessee on Wednesday afternoon.

OTdetectorTN

See? There it is! Taking a look at the IR imagery, this overshooting top sticks out like a sore thumb.

GOES-14IRSampling showed that this OT was about 15 degrees colder than the surrounding cloud. In this situation, the signature was very easy to spot on both products. However, this cell did not induce a warning of any kind. Radar imagery did show that this OT matched up with the area of heaviest rainfall in the storm line, maxing out around 55-60 dBZ.

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NSSL-WRF simulated imagery vs. rapid-scan GOES

I wanted to see how the two types of simulated imagery compared to each other, and compared to reality. Of course, the best way to look at reality is to use the super rapid scan GOES visible. Here it is at 19Z:

GOESrapidvisOT19ZMay14We also have the OT product on this image. I tried to draw a circle around the OTs of interest with an annotation tool, but with 1-min temporal resolution, I wasn’t able to save my annotated image fast enough. (I tried 3 times with no success). I was surprised that the OTs were only showing up in the convective line from northeast MS to southeast TN. I thought we might see some in the cool-looking bubbly cloud structures in southeast AL as well. (Those clouds had produced FFWs in the area).

The simulated IR imagery below is also from 19Z. The model doesn’t show the area of overshooting tops that we were seeing in reality in northeast MS and southeast TN. However, it picked up very well on the larger, older convective shield in southeastern AL.

SimulatedSat19ZMay14The simulated WV imagery also appears to have missed out on this convection firing at 19Z in that same corridor. It’s also worth noting that further south in Mississippi, the convection appears to be overdone. But this area of convection matches up with an area that was under a FFW due to a high-precip event earlier in the day. SimulatedVW19ZMay14

This case gives the appearance that the NSSL-WRF is doing a better job of simulating cloud cover in areas that have already experienced cloud cover and convection, and is not doing as well in areas where convection has not yet developed at the model’s run time. However, the overall spatial coverage of the cloud cover simulation is fairly accurate, and I believe it would be very useful, especially in the cold weather season, when convection is not so much of an issue.

 

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EWP Status for 14 May 2014: 12:30-8:30 pm Shift

The threat for severe weather looks to be a bit higher today across parts of the Ohio Valley as the same storm system continues to propagate eastward. We have two forecasters operating in the Wilmington, OH CWA, while the other two are operating in the Nashville CWA. We hope that the group in the Nashville CWA will be able to utilize PGLM total lightning  and the Lightning Jump Algorithm from the Huntsville Lightning Mapping Array.

Once again, the outlook from the EFP was helpful in determining where the EWP should operate.

wed_efp_outlookUpdate: the group in Nashville has moved to the Pittsburgh CWA as the severe weather threat and even lightning activity has been very marginal in the area. It looks like Pittsburgh could become quite active in the coming hours.

– Bill Line, SPC/HWT Satellite Liaison and Week 2 EWP coordinator

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Daily Summary: Week 2, Day 2

Today, operations began in the Detroit and Cleveland CWA’s. After activity moved out of the Detroit CWA, that group moved to Wilmington. Forecasters were able to take advantage of most of the products minus lightning and OUN WRF.

Tomorrow, we will start activities at 12:30 in the Dev Lab for the daily debrief before moving to the HWT for the EFP briefing. Operations will likely take place somewhere in the Ohio Valley region as the trough continues its slow eastward progression.

– Bill Line, GOES-R SPC/HWT Satellite Liaison and Week 2 EWP Coordinator

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Severe event in VA/WV, as seen on Rapid Scan GOES-14

Mike Smith and I tracked a convective cell cluster that was developing in the Allegheny Mountains of Virginia and West Virginia on Tuesday afternoon. We used the rapid scan GOES imagery to get a good look at developing overshooting tops and we were also looking for boundaries that could produce strong downbursts. At 1830Z, or 2:30pm local time, the surface observation data shows a buoyant environment to the east of the developing storm cells. The wind barbs also show a southeast flow in this area, and the obs to the west of the clouds were showing westerly and southwesterly winds. We were not able to look at radar data today in AWIPS as a verification tool, so we pulled up radar from the NWS’s site and looked at severe warnings as they were issued. This first image is from 1830Z, when the developing Cu aren’t looking too dramatic just yet. However, the GOES-R convective initiation product is showing a 90% probability for the middle Shenandoah Valley, indicated in red.

obs_ci_rapidvis1830Z

We decide to keep an eye on this area as the GOES-R CI was showing a strong signal for further development. In particular, Mike was looking for an outflow boundary to develop on the east side of this convective cell, which would produce a short-lived severe wind gust event. I was also following the northern edge of the clouds, in the area of the WV and MD panhandles. There was a large area of 60%-70% probability just to the northeast of the cloud. The cloud seemed to be growing in this direction, and I felt that having such a large area that the GOES-R CI was signaling on sort of increased the chance that something might happen in that area. I know that’s not the way the model is supposed to work, but larger spatial coverage just triggers higher confidence in my mind. So, I kept an eye on that area, as well.

Just 6 minutes later, at 1836Z, the CI product crashed down to an 8% reading for the cloud cluster in the Shenandoah Valley.

obs_ci_rapidvis1836Z

 

I wondered if this was an erroneous reading, or if the mountainous terrain might be challenging for the GOES-R CI algorithm. I know that the erratic percentage values are of particular interest in this experiment, so when I noticed that sudden change, it caught my attention. In the meantime, the yellow shading on the northern flank of the clouds has actually expanded in scope.

Skipping ahead about 45 minutes, the CI value has jumped back up in the cell in the Shenandoah Valley.

obc_ci_rapidvis1919Z

 

Just about 20 minutes later, a Flash Flood Warning was issued right over this area of erratic CI values. Later, it was confirmed via storm report that a creek overflowed its banks in the area. In the meantime, notice that the CI product has disappeared in the other area of interest in the WV/MD panhandles. At the same time, a SVR was issued for counties in West Virginia that are under that convective cloud shield. Later, a report of quarter-sized hail came in from the warned area, in Washington County, MD.

Obviously, the convective initiation product was not useful for the SVR development in WV because there was already convection happening in the warned area, hours before the storm became severe. It would have been interesting to see the ProbSevere product in this situation, to see if it picked up on any of the severe parameters, including MESH. Hindsight is 20/20!

 

 

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ProbSevere Overdone in WV – 2308Z

2308Z ProbSevere Product.  Was at 78% at this scan.
2308Z ProbSevere Product. Was at 78% at this scan.

Convection through the day in West Virginia has been strong, perhaps marginally severe at times but no reports have yet been received.  However, I noticed the probsevere tool began to struggle once this convection congealed into a linear segment.  The highest probs appear to be driven by a falsely high MESH value, which was at 1.41 inches at this time.  There was no satellite data going into the probsevere tool at this time.  Looking at reflectivity data, the bulk of the reflectivity (60+ dBz echoes) were below the freezing level, so I’m not quite sure why the MESH was so high.  But this tool was definitely overdone in this instance.

-Deitsch

ProbSevere Model Error

ProbSevereErrorIn this image from 2158z over southern South Carolina the ProbSevere model highlighted an area where there was hardly a cloud in the sky. The readout shows a 78% prob of severe storm with 1600 J/kg MUCAPE, 2.1kts of EBShear and MRMS MESH of 2.08 inches.

Talking with the developer of this model, he indicated this is a known problem associated with QC of the MRMS MESH data.

Shawn Smith

 

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Simulated Satellite Imagery – Rather Poor Performance on May 13

Simulated satellite imagery did not perform too well today on May 13. The simulated imagery seemed to be too slow with the development of storms over the Great Lakes, and depicted too much convection across the Mid Atlantic states at 2200 UTC (second image).  Deep moisture indicated by water vapor satellite moved east faster than simulated.

SimulatedSatelliteImagery1400UTC051314

SimulatedSatelliteImageryComparison22UTC051314 Michael Scotten

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