Or maybe, «As shown in Figures 1.4 and 1.5, since the end of the 1992 Pinatubo volcano, models have predicted a steady upward trend in global average temperatures, but the observed series have been comparatively trendless, and thus the range of
model warming predictions since the early 1990s can be seen to have been biased towards more warming than was subsequently observed.»
Not exact matches
Any carbon dioxide emissions that may contribute to global
warming — and recent climate
modelling puts earlier scary
predictions into question — have plateaued.
Revelations is clearly very accurate, clearly agreeing with moden science computer
models regarding global
warming predictions, what will happen when a large asteroid strikes (note the word «when») and many other things unknown to science prior to the 21st Century.
Look up the
warm superconductor experiements back in 2009 in the Netherlands, which has confirmed
predictions made by that
model.
By improving the understanding of how much radiation CO2 absorbs, uncertainties in
modelling climate change will be reduced and more accurate
predictions can be made about how much Earth is likely to
warm over the next few decades.
Some climate change deniers have taken encouragement from the pause, saying they show
warming predictions are flawed, but Mann, a co-author on the study, notes that «there have been various explanations for why [the slowdown is happening], none of which involve climate
models being fundamentally wrong.»
The
prediction, based on computer
modeling of published studies, blames
warming of the planet's oceans (ScienceNOW, 22 January, 2001).
As can be seen your graph, our climate
models make a wide range of
predictions (perhaps 0.5 - 5 degC, a 10-fold uncertainty) about how much «committed
warming» will occur in the future under any stabilization scenario, so we don't seem to have a decent understanding of these processes.
Are there any web sites that provides the mathmatical
model calculations for Global
Warming predictions?
Remember also that (IIRC) one of the
predictions of climate
models is that
warming is likely to result in more extremes of weather?
By working on the still - not - fully - cracked nut of estimating changes in hurricane frequency and intensity in a
warming climate, Gabe and his colleagues ended up with a
modeling system with seasonal skill in regional hurricane
prediction.
In no
models or
predictions of future
warming scenarios does the Antarctic ice mass melt to any significant extent.
After a general trashing of various things including surface observations and climate
models, he admitted that his
prediction for the globally - averaged
warming (of ~ 1.5 C by 2100) is within the IPCC range... albeit at the low end.
In fact, this is a good example of climate
models making a
prediction (
warmer nights), and then having the
prediction born out by the data.
The kinder, gentler
model from the Hadley Centre for Climate
Prediction and Research in the United Kingdom estimated a wetter,
warmer future: Rainfall may increase 20 percent to 25 percent, mean annual temperatures could increase 2 degrees Fahrenheit by 2030 and 4 degrees by 2100.
The anthropogenic global
warming argument does not hinge on the paleo reconstructions but on
model predictions.
After a general trashing of various things including surface observations and climate
models, he admitted that his
prediction for the globally - averaged
warming (of ~ 1.5 C by 2100) is within the IPCC range... albeit at the low end.
So if you just took the relative change since 1999, not the absolute numbers as compared to the red curve, their new
model would predict the same
warming as a standard scenario run (i.e. the black one), which would hardly have been a reason to go to the worldwide media with a «pause in
warming»
prediction.
Models actually predict that the interior of the ice sheets should gain mass because of the increased snowfall that goes along with
warmer temperatures, and recent observations actually agree with those
predictions.
Are there any web sites that provides the mathmatical
model calculations for Global
Warming predictions?
Is this something that should lead us to doubt
model predictions of global
warming?
Three IPCC climate
models, recent NASA Aqua satellite data, and a simple 3 - layer climate
model are used together to demonstrate that the IPCC climate
models are far too sensitive, resulting in their
prediction of too much global
warming in response to anthropogenic greenhouse gas emissions.
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.
Dr. Swanson: Another question — This
prediction of a pause in the
warming seems somewhat similar to the
prediction of Keenlyside et al., although, as I understand it, theirs is based simply on a direct
model prediction (with an attempt, whether successful or not, to use realistic initial conditions in initializing their
model).
So, Jacob, if you can show me a theory that makes as much sense of Earth's climate and makes as many verified
predictions as the current consensus
model and which doesn't imply serious problems due to
warming, I'll be the first to pat you on the back.
But the potentially severe impacts of a quickly
warming world up the ante; therefore, though the
model predictions have significant error bars, a risk management perspective demands that significant mitigations steps be taken immediately.
Also, if we say we know what's causing current
warming there's a lot of work to be done explaining
model failure on
predictions.
Fig. 2 shows
predictions with a simple
model that predicts the number of tropical cyclones (NTC and n) in the North Atlantic based on the area of
warm sea surface (A) and the NINO3.4 index.
In no
models or
predictions of future
warming scenarios does the Antarctic ice mass melt to any significant extent.
I also agree that
model predictions of 0.2 C surface
warming per decade were clearly inaccurate, but on the larger question of climate trends, they were probably not very far off.
T 54: if we say we know what's causing current
warming there's a lot of work to be done explaining
model failure on
predictions.
* «Princeton physicist Will Happer's WSJ op - ed: «Global
warming models are wrong again»: The former federal official calls climate's «observed response» to more CO2 «not in good agreement with
model predictions.»»
And you might recall that his March 27 Wall Street Journal op - ed «Global
warming models are wrong again» called the climate's «observed response» to more CO2 «not in good agreement with
model predictions.»
Arctic sea ice has reached record lows this winter around Greenland and elsewhere, following the
predictions of remarkably accurate
models based on global
warming.
The scientistsâ $ ™
predictions also undermine the standard climate computer
models, which assert that the
warming of the Earth since 1900 has been driven solely by man - made greenhouse gas emissions and will continue as long as carbon dioxide levels rise.
These phases, which last 30 years, giving a 60 - year cycle, must be carefully allowed for: otherwise the error made by many early
models would arise: they based their
predictions on the
warming rate from 1976 - 2001, a period wholly within a
warming phase of the Pacific Decadal Oscillation.
In light of this
prediction and global climate
model forecasts for continued high - latitude
warming, the ice sheet mass budget deficit is likely to continue to grow in the coming decades.
Nevertheless, the IPCC appears to be set to conclude that
warming in the near future will resume in accord with climate
model predictions.
In reality, when we compare apples to apples — El Niño years to El Niño years — we've seen more than 0.3 °C global surface
warming over the past 18 years, which is in line with climate
model predictions.
These systems likely contribute to an observed regional trend of increasing extreme rainfall, and poor
prediction of them likely contributes to a
warm, dry bias in climate
models downstream of the Sierras de Córdoba in a key agricultural region.
Climate alarmism is not based on empirical observation; rather, it is entirely predicated on computer
models that are manipulated to generate
predictions of significant global
warming as a result of increased concentrations of CO2.
And, as Edim has suggested, if the real life «physics» tells us that this «lack of
warming» continues for another 15 years despite unabated human GHG emissions, we may have to toss those
model predictions, and the «agenda driven physics» that created them, into the trash.
Comparing
model predictions of GHG - induced
warming with recent natural temperature fluctuations also indicates the potential scale of man - made climate change.Early
modelling experiments focused on the total long - term change resulting from a doubling of carbon dioxide (CO2) levels.
Then (2004) he saw that his
model predictions on
warming were not happening (they were exaggerated by 2:1), so he used «circular logic» to come up with the «hidden in the pipeline» postulation.
Kevin Hamilton, who co-authored the report, warns: «If our
model results prove to be representative of the real global climate, then climate is actually more sensitive to perturbations by greenhouse gases than current global
models predict, and even the highest
warming predictions would underestimate the real change we could see.»
Natural variability makes it difficult to invalidate climate
models that make
predictions disagree with observations, such as amplification of
warming in the upper tropical troposphere.
Writing up their findings in the Journal of Climate, the scientists have noted that the «greatest weakness» of most climate
prediction models, namely their comprehension of the significance of clouds, may be in «the one aspect that is most crucial for predicting the magnitude of global
warming».
Well since the upward trend was well established, and his whole «CO2 causes global
warming» theory would be falsified by any other result (constant or decreasing temperatures) it is hardly surprising that Hansen's
models would produce
predictions of increasing temperature.
Emission scenarios and
model predictions may overstate the risk, but they are equally likely to underestimate it.There is some evidence that this
warming has already begun.
Just as a hypothetical example: If climate scientist will tell me that recent pause in global
warming is due to the effect of an inactive sun (which is the reality as reported by following) http://www.spaceweather.com and that they will go back and improve their
models to account for this, then I would be more inclined to believe their other claims... Instead the IPCC doubles down on their
predictions and claim the future effects will be worst than they originally thought?