-Bill Line
Simulated Satellite Imagery
- Maybe for last week, show nssl wrf reflectivity as well and show things that you can see in the synthetic sat imagery that you cant in reflectivity
- I like it, I used it every day.
- Model issues
o It was off with strength of storm, position, timing sometimes.
o Cirrus and low clouds often out
- The technique is great, to be able to visualize what the satellite would look like if this model were to pan out. I use nam in my office. It is nice to show low clouds and cirrus shields in the model. if you come out on day shift and it is showing supercells later in day, I would look at early part of forecast to give me more or less confidence in later forecast
NearCast
- I think it is a benefit to have
- I think at the very least it helped to visualize moisture and instability very well
- How to use it from day to day changed. First day, storms initiated as theta-e tongue came in. Next day, theta-e was feeding directly into storm, and it popped up. Next over DC, entire theta-e field, storms followed along with the movement of theta-e
- Go to product between warnings, see what the environment is. Continues to tell you if storm is gonna be in field where it continues to explode, or will it move out of it.
- I can see it being useful as I come in in morning, it fills gap in sounding data, gives you idea of scope of convective instability.
- Its observed data so I really like it
- I though the model forecasts did well too when there wasn’t missing data.
- Forecasters agreed it would be neat to see winds plotted
GOES-R CI
- I agree it would be very useful in non-severe situations.
- It had its hits and misses
- If doing esta update, might be good to say precip chances might be increased in a certain region
- I couldn't get a handle on a threshold where this is when convection would go. I couldn't rely on it
- I think it would work for SPC mesoscale forecaster
- Instead of individual colors for each object, highlight a general area of interest where convection is more likely to go.
- It is a good situational awareness tool
- Neighborhood approach, larger spatial probabilities might be a good idea. Instead of showing probs for each individual object
Prob Severe
- I like it: I used it every day. The trends were very useful. I liked seeing the data when I sampled (I looked at trends in the numbers). It helped me to zone in on certain storms (broadcaster)
- Yesterday I used it fairly heavily. Storms moving form KY to TN, what happened was because it was multicellular, there was an adjacent storm that prob severe latched on to, and the product took over that other cell too. So it was then difficult to key in on that particular storm. I wanted to increase lead time, but I wasn't able to in this particular instance. There was some lag time too
- A way to have a sub-scale tracking to make sure to track individual cells to try alleviate merge issue
- Would you use in your office: All yes
- It at least brings your attention to storms to watch
- You start with all tilts. From a spatial awareness perspective. Id be worried about new forecasters getting lazy, relying on these derived products. You still need to get them used to using the base products. Similar to other products.
- But I think it could be treated as any other algorithm I don’t think that ^ is a problem
- There have been times im interrogating a storm in base data, this algorithm would point out a storm that I should look at. It catches things the human would miss.
- What would you like to see added: you don’t want it to get too cluttered. I like the compactness of it. Other environmental attributes could help that would tell you what type of severe. DCAPE
- I would like to see effective SRH added.
- Would you like to see probs of individual hazards: all yes
- I could envision a 4 panel. Over all prob severe, prob tor, prob wind, prob hail.
o And have different fields under each
OTD
- I really tried to use it yesterday. One of limitations was the 15-30 min updates. It wasn't terribly useful in the hot seat. Might be better for mesoscale forecaster.
- I see this being most used in places where you don’t have radar. Oceans, aviation even more so (route planes around this).
- I see it being much more useful, viable with higher temperal, spatial resolution. (super rapid scan with goes-r)
PGLM and LJ
- It was very useful in Denver day. Seeing total lightning and LJ
- I could see myself using it in warning operations. Monitoring health of updraft
- Pulse. In OK you see storms pulsing. Total lightning showed this. within 10-30 min I can guarantee something will happened
- In W Texas, severe winds were reported. Cell merger > LJ > wind
- LJ twice in a row, prob severe was trending up, I warned, big jump on warning
- Because it is one minute data, I was able to see jump before next radar scan
- I view storms as how much energy they can output, lightning kind of gauges how much energy is in the storm > hail, wind, etc. Updraft > more ice, static electricity, lightning.
- As a broadcaster, it would be nice to have total lightning, because it shows more than just CG.
- LJ display: I was fine with it, I was fine with sigma jumps
Tracking Tool
- I think it has a lot of potential, I was excited to use it, but it dissipated me.
- I like that you have a graph that pops up. I prefer it to be side by side
- If you close it, it would be nice to be able to pull the box back up
- I would like the ability to take the box out, I like screen real estate.
- I think this type of tool (to show meteogram) is useful. I like the circles. I think it would be useful to track many different fields
- I prefer when you clear, for box to go away.
- In warning mode, I could see myself using this.
- Its awesome to be able to use the individual points without having to move the whole track
SRSOR
- Do you see it having an impact on my decision making process (4 yes’s).
- Watching area, I could see growth in the 1-minute data, it helped to gain more confidence, I need to pay attention to this area
- In office, many times waiting 15 minutes for next scan. With 1 minute data, you can see convective attempts, failures, dead anvils.
- Would you be disappointed if goes-r was launched and we did not get 1-minute data? (all yes’s)
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