I'm way late on replying to this thread because I had to take a two-day break from ST. So these replies are aimed at some old posts, but I still feel the need to make them.
Greg, I posted information to several social science studies that indicate a lack of understanding of the PoP's. Did you miss it?
I didn't miss them, but they didn't answer my questions. But this response from you does:
With regard to how clients are able to understand/use them, it is because we work intensely with them to understand them and adapt them into their business processes.
Exactly - my argument being that the NWS currently does not do a good job of communicating uncertainty in forecasts, and thus the users don't have a good understanding. If your clients can understand, there is reason to believe that so can some public users.
They are motivated to understand, the public is not.
I'm sure many folks in that monolithic block you call "the public" would take great offense to this statement. Why do you feel absolutely certain there is zero hope?
they have the potential to do more harm than good. It is the latter point that concerns me the most.
This is why we need to find the best way to convey uncertainty in forecasts in order to elicit the appropriate response. Do you really think we are getting the correct response today? Why did those people die in Lone Grove OK? That storm was known to be a tornado threat well upstream from there, yet there is currently no official NWS product that could have been used to warn those folks that required greater than average lead time to take protection. Why not? Because the NWS currently feels that uncertainty in products with that great of lead time doesn't warrant an official product. I can think of other examples (e.g., Super Tuesday outbreak, Little Sioux, etc.) that motivate me to feel that the NWS could do much better in its dissemination of hazard information. Now imagine a future in which the NWS is producing longer lead time probabilistic hazard information on current threats. Then a private company could design a specific warning system for specific users requiring the longer lead time (high vulnerability) exploiting that hazard information, and the users of that system would
never have to see the probability numbers!
I also feel (and this is definitely not necessarily the corporate opinion of my employer or my professional partners) that the methods that have been used to verify severe weather warnings have some serious flaws, and the NWS is not doing as good as they think they are. Just the fact that it is the NWS, and the issuing WFO, that is responsible for their own warning verification throws many red flags ("the fox guarding the henhouse").
Mike Smith said:
Actually, am open to the concept of probabilities in certain circumstances, provided the probabilities are well-calibrated which is certainly (in my opinion) not the case now. So, they have the potential to do more harm than good.
The scientists agree with you 100% regarding calibration of probabilities. As Rich alluded to, the SPC does a lot of verification work to determine the accuracy of their probabilistic products - which were developed with a solid statistical foundation in collaboration with Dr. Harold Brooks (one can Google the references).
Mike Smith said:
I have learned that the current program is amazingly effective, more than most meteorologists believe. So, I tend to be cautious about things that could damage that success.
I agree that the system has been very effective, and I'm also very sensitive about damaging the current system. But I also note that there have been some failures in the system recently as well as the
potential for a massive failure if we have an major incident at locations where large numbers of people are gathered.
BTW - I am looking forward to reading your book when it becomes available.
Mike Smith said:
I conclude that -- for the near to medium term -- let the private sector handle the probabilistic values for specialized users and be very cautious about tinkering with the public products.
I don't understand how you can be so opposed to probabilistic forecast information when you produce them yourself. Especially if you are concerned about calibration issues, information framing, etc.
Our concepts don't change the products, and we're very cognizant about keeping the legacy systems in place. We're simply
adding more information about what the NWS forecasters are really thinking. And, as Rich said, it helps the forecasters to more robustly verify their forecasts.