-Bill Line, NWS
- GOES-16 ABI Imagery and products
- Imagery
- Seeing cooling tops in the IR combined with structure of cu development in the VIS (sandwich product) with 1-min resolution keyed my eyes to development along a line before anything else.
- Used imagery mostly for identifying cloud top warming of storms. We did not warn on storms that had warming tops. The storms we did warn on had OTs
- We identified weak/weakening storms from warming tops, or uniform on vis
- Initial convection could be seen going up much sooner in satellite than on radar
- Nice to have 1-min 2-panel IR and VIS on the side next to my radar/warning display. It provides a very clean, situational awareness display
- Would be nice to time synch 2 panel with single panel on the side
- Derived products (winds, dsi, tpw)
- Winds did not look well. Color coding by wind speed was not helpful. Color coding by height or pressure level would be better. Barb tells you the wind speed already, no color coding needed. Also many of the winds were completely wrong in speed and direction. Compared with obs (surface winds). Few vectors, very limited.
- Dsi and tpw - There were many holes in the baseline TPW and CAPE, making it difficult to interpret. If too many holes, I will look at other tools.
- Using GFS as a first guess is not ideal. It would be better to have a separate CONUS sector using RAP or HRRR as the first guess, something that updates with new sfc obs every hour.
- Channel differences
- RGB composites
- GLM
- This is the first time we’ve seen GLM data. The lightning placement is a bit off geographically compared to radar. Flashes seem most intuitive, similar to what we are used to seeing from NLDN. I want to know when I would use GLM instead of NLDN? As for gridded events, not sure how I’d use it for warning ops. Color tables worked fine for me.
- I liked the gridded color scale you put together. I like just a simple scale. Brighter colors focus my eyes.
- I didn't notice anything that was too off. With pulse convection, you could see convection pop up quick, and then flatten out quick. Confidence that stuff wasn't going to keep strengthening early on because not really any rapid lightning increases
- ProbSevere
- In our case it wasn't working too good today. For a storm that had high velocity in radar, probs were too low because not much azimuthal shear. Spurious data in azimuthal shear product can also cause bad ProbSevere probs.
- Pulse nature of what we were seeing was highlighted in probsevere. Seeing probsevere probs pulsing verified the environment we were in. So it was useful in this sense.
- Used it more for confidence building and not as much warning decision.
- NUCAPS
- Experimental modified nucaps came in very late. But comparisons showed that modification did improve thermodynamic values.
- Operational pass was a little late to be helpful. 1.5 hr to 2 hour after timestamp.
- Experimental data with modified sounding was better than the one that wasn’t. CAPE was closer to that on mesoanlaysis and helped to verify environment we were in.














