Since «cloud feedbacks remain the largest source of uncertainty» (as IPCC has put it), and since the magnitude of this uncertainty is so great that it changes everything, shouldn't this great source of uncertainty be cleared up before any long -
term temperature projections are made?
Wouldn't it be better if we put our efforts on accurate shorter
term temperature projections, say what will happen in 6 months no more than a few years from now, check the models and brag about their accuracy or correct their failures, if the models are continuously correct all contrarian arguments die.
Not exact matches
Our record is also of interest to climate policy developments, because it opens the door to detailed comparisons between past atmospheric CO2 concentrations, global
temperatures, and sea levels, which has enormous value to long -
term future climate
projections.»
Does this prediction and the confidence with which it is made «The quasi-regularity of some natural climate forcing mechanisms, combined with knowledge of human - made forcings, allows
projection of near -
term global
temperature trends with reasonably high confidence», reflect the consensus of climate scientists, in your opinion?
-- A line stressing that «the current
temperature plateau» does not undercut
projections of long -
term warming:
Near -
term projections of global average
temperature, updated with latest global
temperature observations and forecasts.
Figure 11 compares their results with and without the short -
term noise from natural
temperature influences (pink and red, respectively) to the IPCC TAR (blue) and AR4 (green)
projections.
Also, this 2018 - 20 short -
term projection really deals only with the blue «oscillating component» element, not the continuing red trend in surface
temperatures running at ~ 0.6 C per century from 1960 to 2010.
For corn, small long -
term average
temperature increases will shorten the duration of reproductive development, leading to yield declines, 4 even when offset by carbon dioxide (CO2) stimulation.5, 6 For soybeans, yields have a two in three chance of increasing early in this century due to CO2 fertilization, but these increases are projected to be offset later in the century by higher
temperature stress7 (see Figure 18.2 for
projections of increases in the frost - free season length and the number of summer days with
temperatures over 95 °F).
Or there is does not exist a type of model which vaguely accurate enough to provide adequate long
term or short
term projection of regional or global
temperatures.
All the data I've seen show the opposite for
temperature trends — annual predictions are much less skillful than long
term projections.
The current version of the figure gives the impression that the IPCC expected
temperature to warm continuously year on year, which of course was not the expectation — the
projections shown here are just the long -
term trend either from averaging the GCMs or using simple climate models.
Its revised
projection indicates that if we stick with business as usual, in
terms of carbon dioxide emissions, average surface
temperatures on «Earth by 2100 will hit levels far beyond anything humans have ever experienced.
So, when you say «demonstrate that long
term, global
temperature trends matched the model
projections when anthropogenic emissions were included in the inputs along with natural variability».
As Figure 2 shows, the unadjusted data (pink) have tended to fall towards the lower end of IPCC
projections in recent years, primarily due to the preponderance of La Niña events and an extended solar cycle minimum, which have short -
term cooling influences on global surface
temperatures.
I happen to disagree with your
projections for future
temperatures evolution, and since «GMT» are well correlated, I base my views on the long
term CET extrapolation.
vukcevic says: August 16, 2013 at 11:12 am I happen to disagree with your
projections for future
temperatures evolution, and since «GMT» are well correlated, I base my views on the long
term CET extrapolation.
One element of a compromise that I would suggest is that when referring to past
temperatures and future predictions /
projections that the
term «estimated» be used before the number of the
temperature being discussed.
While it is difficult to distinguish between the recent slow - down in global surface
temperatures and the underlying long -
term trend, the slow - down stands out much more vividly when compared to
projections from the latest set of GCMs.
Actually, they are quite wrong in lots of ways, not just surface
temperature projections (way too much ocean heat uptake, incorrect short
term variability, incorrect rainfall patterns, even incorrect absolute
temperatures, very poor region
projections..
«Our results imply that because dust plays a role in modulating tropical North Atlantic
temperature,
projections of these
temperatures under various global warming scenarios by general circulation models should account for long -
term changes in dust loadings.