Page 11 of the brief begins, «As shown below, computer
models predicting future warming must overestimate warming, because they generally use an incorrect increase in carbon dioxide concentration of 1 % per year.»
Not exact matches
«The result is not a surprise, but if you look at the global climate
models that have been used to analyze what the planet looked like 20,000 years ago — the same
models used to
predict global
warming in the
future — they are doing, on average, a very good job reproducing how cold it was in Antarctica,» said first author Kurt Cuffey, a glaciologist at the University of California, Berkeley, and professor of geography and of earth and planetary sciences.
Climate
models, it says, «can neither confirm that global
warming is occurring now, or
predict future climate changes», and yet «have been used to frame the debate».
Data from BOREAS allows researchers to estimate how much carbon dioxide trees pull out of the atmosphere and store within their structures, a value used in some
models to
predict the role of forests in a
future,
warmer world.
These
models can then be mapped against climate forecasts to
predict how phenology could shift in the
future, painting a picture of landscapes in a world of
warmer temperatures, altered precipitation and humidity, and changes in cloud cover.
Models predict how much the world will
warm depending on how much we emit in
future.
The
models used to
predict future global
warming can accurately map past climate changes.
They do, however, raise serious questions about the validity of climate
models (which are, of course, used to
predict future warming and are used to set public policy and sway public opinion) and how much we are actually
warming.
There are really two other * scientific * ways to
predict future global
warming trends beside computer
models.
As we've said many times, evidence continues to show weaknesses in climate
models used to
predict future warming.
Even if the study were right... (which it is not) mainstream scientists use * three * methods to
predict a global
warming trend... not just climate computer
models (which stand up extremely well for general projections by the way) under world - wide scrutiny... and have for all intents and purposes already correctly
predicted the
future -(Hansen 1988 in front of Congress and Pinatubo).
While RealClimate has called into question the soundness of the paper's quite narrow conclusions of discrepancy between
model predictions and measurements of the relative rate of
warming of different levels of the atmosphere over the tropics, this paper is being touted by the deniers as showing that the
models are wrong to
predict any
warming at all, and that predictions of
future warming and climate change can be entirely discounted.
The scientific community has also known for some time that the
predicted future global
warming in most climate
models (more than 2 degrees C.) would probably be well above the long - term average temperature present at any time during the Holocene.
This
model or hypothesis has failed to demonstrate past
warming, failed to
predict current
warming, and because of the nature of the Earth system, can not
predict the
future beyond forecasting in a limited frame of reference in a semi-stable system (i.e. temperature swings of 10, 20, 30 or more degrees F in minutes, hours, and days).
In the
future, Earth's plants should be able to successfully adjust their physiology to accommodate a
warming of the magnitude and rate - of - rise that is typically
predicted by climate
models to accompany the projected
future increase in the air's CO2 content.
Despite 700 years of these natural extreme weather swings, Stanford's Noah Diffenbaugh blames recent swings on global
warming stating, «This is exactly what state - of - the - art climate
models predicted should have happened, and what those
models project to intensify in the
future as global
warming continues.»
First, the computer climate
models on which predictions of rapid
warming from enhanced atmospheric greenhouse gas concentration are based «run hot,» simulating two to three times the
warming actually observed over relevant periods — during which non-anthropogenic causes probably accounted for some and could have accounted for all the observed
warming — and therefore provide no rational basis for
predicting future GAT.
The best that can be said for the catastrophist side is that there is at least some evidence that
future warming or changes in sea level or ocean chemistry could be catastrophic, even though this evidence is far from conclusive and is actively contradicting most
models that
predict catastrophe at present.
Although there is a general consensus among
models that rising CO2 will drive
warming and continued ice melt into the
future, IPCC
models failed to
predict the current level of rapid sea ice reduction.
As we've said many times, evidence continues to show weaknesses in climate
models used to
predict future warming.
At one time, the hubris of global
warming scientists led them to believe their climate
models could explain /
predict the
future ENSO variations.
We are helping you to understand that there are other plausible explanations for global
warming, and the assumption that it is due to CO2 is based only on opinionated papers hand - waved through the peer review process by friendly referees [while skeptical papers rarely see the light of day], and by computer
model outputs, which are invariably unable to
predict the
future climate, or even today's climate with all available past data as the input.
What is more, there are concerns that such damages may increase in the
future if temperatures rise as
predicted by global climate
models in response to CO2 - induced global
warming.
The
models used to
predict future global
warming can accurately map past climate changes.
The Arctic temperature data do not support the
models predicting that there will be a critical
future warming of the climate because of an increased concentration of CO2 in the atmosphere.
«a slowdown in the MOC is
predicted by our
model (and others) for a
future world, partly as a function of ocean
warming and partly as a function of increased freshening from ice melt and increased rainfall.
«the climate
models that
predict substantial
future warming are failing miserably to replicate real - world temperatures».
«Stakeholders who are convinced that
future anthropogenic
warming will be slower than current
models predict will be reassured that the policy will «bite» correspondingly more slowly,» the researchers write, «while the converse is also true for those concerned about unexpectedly rapid
warming in the
future.»
Two prominent U.S. Government scientists made two separate admissions questioning the reliability of climate
models used to
predict warming decades and hundreds of years into the
future.
Only continued failure of the
models to accurately
predict future warming over the next couple of decades will end this nonsense.
So he thinks that
models that weren't dealing with long - term ocean sequestration of heat, but somehow accidentally
predicted the pause, have relevance to claims about
future warming if the ocean were involved in a way that wasn't in the
models?
Nonetheless instead of providing a greater historical framework to critique natural cycles that last 60 to 200 years, they promoted untested speculation and simply reported that all the
models predict more fires due to CO2
warming in the
future.
Hence
predicted future atmospheric CO2 concentrations are therefore higher (and consequently the climate
warmer) than in
models that do not include these couplings.
An equally important idea that can't be ruled out on current data: the near
future is not the mirror image of the recent past: the effect of the next doubling of CO2 can not be
predicted from the
modeling results based on assuming some CO2 - caused
warming to date.
However, the climate projections that are incorporated in Tol's economic
model are likely wrong — they
predict too much
warming from
future carbon dioxide emissions.
The impact on our «understanding and attributing climate change» is major, of course: if up to 50 % of past
warming can be attributed to solar forcing (as many solar studies have concluded) then the whole
model -
predicted (2xCO2) climate sensitivity estimates are in serious question and, with these, all the projections for
future climate change caused by AGW.
The
models have been consistently
predicting future warming, and have been right.
Huss and his colleagues plan to next apply their
model to
predicting how the thousands of glaciers will react to
future global
warming.
«The
models have come to
predict a high level of
future warming, and how they claim that it is all caused by CO2.
(4) So necessarily, about two - thirds of the
models»
predicted future warming comes from factors that are not understood.
Forecasts of
future ice sheet behavior appear even more uncertain: Under the same high — global
warming scenario, eight ice sheet
models predicted anywhere between 0 and 27 cm of sea level rise in 2100 from Greenland melt.
New paper explains inherent flaws of computer
models predicting future climate change London, 21 February: Claims that the planet is threatened by man - made global
warming are based on science that is based on inadequate computer
modelling.
It is noteworthy that
models in general
predict the greatest amounts of
future warming, while observationally - based studies, often about interglacial - glacial transitions, or differences between geological eras, tend to come up with less
warming.
Willis: «In addition, we have evidence that the climate
models, whose programmers do think it is a boundary problem, can't
predict 20 years out, they've been quite bad at projecting the
future ever since climate stopped
warming.