Anyway, the truth is probably between the most optimistic and pessimistic statements we have just seen here. There has been some advance in LRF recently, but nobody credible thinks we are "there" yet. The only way to get there is to do research in the way that some of us are doing research. I should point out, while it's valuable to get the input of various observers with their forecasts, some of them are little more than subjective estimates based on reading other forecasts. That might not be such a bad way to do this, after all, that's how business as opposed to science normally operates. But it does not illustrate any principle of "where LRF research is at today" for somebody to read six forecasts, think about it for a day or two, then generate their own blend or estimate. Now if people actually have a research basis for their forecasts, then the results directly validate the research.
One other thing, you can't credibly use details that are in forecasts to refute forecasts. It doesn't make sense to me to read that "nobody predicted all this mild weather" when in fact somewhere in every one of these forecasts are mentions of periods of mild weather. So it's more of a quantitative thing and with two weeks of severe cold this won't be remembered as a "very mild" winter so much as a mild winter with a significant cold spell. In Ireland on the other hand where the cold never really dug in, they would be more justified in saying this was a very mild winter, so that might apply to a few western parts of the U.K. as well.
Anyway, final thought as I don't want to beat a dead horse in this thread, where I do agree with TEITS would be that advances won't come suddenly or certainly easily. Advances will almost certainly come incrementally and it could be well into the decade of the 2020s before there's a general feeling that LRFs are significantly improved. Even if one person (let's say I got lucky and my research started to reduce error faster than I've seen in the past five years) begins to demonstrate an accuracy level that begins to converge on something like right side of normal 75-80 per cent of the time, that will not just be obvious to everyone as all forecast methods edge forward erratically or bounce around between good and bad examples -- and there will be nothing to stop the field from being crowded with hopecasters as we've seen (apparently, or some research is totally blown out of the water after that December business). So let's say somebody (and it could be anybody, since we don't know for sure which research paradigm will yield the best results after 10-15 years) does get to that higher level, it could be quite some time before people in the field generally accept that this has happened, and then there would be the question of what to do about it, because if it's a personal research program and the person is 70-80 years old, then you have very practical handover issues looming.
I'm just going to keep doing my research as long as possible and let nature take its course. Unlike some pessimistic appraisals here, I believe there has been progress and I'm "in the ball park" more often than random would suggest. For example, there was a clear forecast of a very cold December in the previous winter, and some people on NW said the winter forecast before that was the best of the bunch (that thread may be in the archives, winter 2009-10). Last summer I came up with a modified warmth concept when many were going for a very warm summer. I can think of some clunkers back a few years ago, and this January did not really meet the required standard. So on balance, I am encouraged but certainly not over-confident. It's like a shadowy version of a breakthrough. I wouldn't be surprised if one or two others felt the same way about their work -- things are looking up and perhaps we're on the right track. But I would modify what TEITS said about this being too big a subject for the human mind, it's more a case of the total global picture being a very large subject with vast complexity, but top people in all scientific fields tend to be able to master a lot of detail, just think of what top biologists or atomic scientists or organic chemists must know in detail, or astronomers, compared with enthusiasts or students. There's no reason to think the same is not true for climate science, although the AGW episode has tended to give many the impression that this is a field for the intellectually challenged, even there, I honestly think some of these top climate scientists are just going through what many sciences have gone through in formative stages, a dead-end paradigm that has to be overturned and replaced by something that predicts nature better. Such as modified AGW with a two-thirds natural and one-third human causative foundation.
(later edit) ... It just occurred to me that if you visualized a discussion of physics in 1880 compared to 1920, you would see just how transformational the right sort of blend of intellect and paradigm change can become, basically almost everything being taught in university physics by the 1920s was unknown to the top workers in that field in 1880, and who's to say after the fact how dimly perceived any of it might have been to them? You could say much the same thing about geomorphology before and after the ice age theory was accepted. We may well be in the age where most look at a weather pattern and see an erratic boulder (blocking high) as something the stratosphere dropped, where in fact it was something that a magnetic field moved. That sort of thing, it's no more complex to think of boulders floating in rafts and dropping to the bottom of an ancient sea, or ice fields moving the boulders, but somebody had to think of the paradigm and then spend a lifetime developing it and defending it against a lot of hostile criticism (none of which makes any sense to us now).
Edited by Roger J Smith, 22 February 2012 - 09:01 .














