The second week of the EWP is in the books with forecasters participating from the San Diego, Eureka, Huntsville, Sterling and Norman WFO’s, as well as a broadcast meteorologist from NBC4 Columbus, OH. In the early part of the week, forecasters were fairly spread out across the country with operations in Sterling, Tampa Bay, Pocatello, Wilmington, and Louisville. With the ridge building in the center of the country, our operations domain became much smaller as we moved to Texas for the latter part of the week. The WFOs worked in Texas included Houston, San Antonio, San Angelo, Midland, and Lubbock. Overall, forecasters had a good mix of forecasting/warning on convective modes and time scales. Similar to last week, we were able to evaluate the entire product suite of GOES-R and ENI products.
Below is a synopsis of feedback for the GOES-R products:
GOES-R LAP
– The striping and blotchiness/unnatural extreme gradients lower my confidence in these products. It would be great if this issue could be resolved.
– At the beginning of shift yesterday, the CAPE and PW gradients seemed to match up well with the dryline via surface obs.
– The cell that developed behind the dryline in a stable atmosphere as indicated by LAP CAPE remained sub-severe.
– I wouldn’t use it by itself, but I would compare and contrast to SPC meso page and LAPS to boost confidence.
– It was most useful to pay attention to the gradients and trends in the fields. Most often, convection developed along these boundaries and in areas of increasing instability/moisture.
– The PW fields, including the three layers, were nice to have. I had most confidence in this field.
–
NUCAPS
– It was cumbersome to have to modify the surface conditions with most profiles. It would be nice if this process was automated.
– QC flags would be helpful to have so we know with confidence which profiles to trust.
– It would be nice to have the ability to sample the green dots for information such as QC, instability, moisture, etc, giving you some quick information about those soundings.
– The profiles are smoothed out, but they still give you unique information about the environment.
– I liked that it is observed sounding information
– The timing is great (between 12z and 00z RAOBs).
– I see this having utility for my office over ocean on west coast.
– We would definitely use it in our office.
– I look forward to using this during the winter season
– There were a couple cases throughout the week where the NUCAPS soundings showed instability, and convection developed/strengthened as it moved through that area
GOES-R CI
– I wish it was better through cirrus
– I would like it if you could somehow signal why the probability is going away. Is it because the storm has reached the necessary degree of maturation, or because that cloud is no longer expected to initiate?
– I look forward to using it with routine 5-min imagery in the GOES-R era. I think that will definitely make the algorithm more useful and display less messy.
– For me, broadcaster, it was the most useful tool. It gives me a quick look at where convective activity is most likely in the near future
– I provides information we don’t already have
– I was most useful when I monitored trends over a certain area, as opposed to trying to track individual cu
– I think it could even be put on tv
ProbSevere
– SigTor might help with tornado environments, DCAPE for high wind.
– Having a time series would be helpful to see changes in probabilities through time. It is pretty easy to follow as is, but a times series would just add to it as an alternative method of visualizing past tendencies
– Definitely performed best as a hail predictor
– We had slam dunk, hail days this week, so it will be interesting to evaluate it with lower end and non-hail days
– In Florida, I used it to indicate a wind threat with a collapsing cell by looking at decreasing probabilities in probsevere. The storm did result in some wind damage. If you know environment might be conducive to microbursts, and see probsevere falling, you might want to have elevated awareness for an imminent damaging wind threat
– I am a fan of the descriptive words in the readout (weak, mod, strong).
– Satellite input field’s added lead time when we had the satellite information previous days. Lead time was lessened when we didn’t have the satellite information because of cirrus yesterday.
– A different color scale might be necessary for WR, where probabilities were much lower.
Lightning jump
– Worked great for us yesterday, it was often the first indication that a storm was intensifying. It signaled us to interrogate radar data for a given storm.
– One example yesterday, there was not much originally on radar at lowest level, then we had a jump, so we looked at the storm more closely, and found good signals in radar dual pol and at upper levels. Storm then strengthened.
– Some sort of colorscale for negative “lightning jumps” would be helpful. Also more research and training on the negative jumps. Do rapid decreases in lightning activity precede rapid storm weakening?
– Overall, display is simple, easy to use, good SA for fast changing event.
– It would be helpful to display the max value for the last 5-6 minutes in LJ, so significant changes would be be more difficult to miss.
– I really started to pay attention when jumps were to 4+
PGLM
– Flash extent density was awesome, and it has science behind it which is good
– The 6-min summation product needs to have a higher color scale.
– Yesterday, it did a great job of pinpointing strengthening storms as they intensified
– Shades of blue at low end of color scale I was using is helpful for more marginal cases, while a different color bar may be more applicable for storms with much increased lightning activity.
– It will be nice to have uniform detection efficiency across domain with GOES-R GLM.
-Darrel Kingfield, CIMMS/NSSL Research Associate & Week 2 EWP Coordinator