Most climate models predicted that trend would continue, as humans continued to pump greenhouse gases into the atmosphere.
It will never be possible to substantiate such a claim about an individual climatic event, but
most climate models predict that the frequency and intensity of such events will increase as the world warms.
His initial findings showed a lesser degree of warming than
most climate models predict, leading him to question those models.
«It is important to understand these changes because
most climate models predict tropical forests may be under stress due to increasing severe water shortages in a warmer and drier 21st century climate,» said Liming Zhou, of Albany State University of New York.
Not exact matches
Nadeau also studies the potential impacts of
climate change on species around the globe, using
modeling, field observation and experiments to
predict where species are
most vulnerable and determine how conservation groups can best mitigate the negative impacts of
climate change on animal populations.
Most current
climate models predict what will happen when the concentration of CO2 in the atmosphere reaches twice preindustrial levels, or some 1.2 trillion tonnes of carbon.
Cynthia Rosenzweig, a researcher based at Goddard, has been using crop - growth computer
models to
predict effects of carbon dioxide buildup and
climate change on wheat, the
most widely cultivated crop in the world.
«
Most climate models that incorporate vegetation are built on short - term observations, for example of photosynthesis, but they are used to
predict long - term events,» said Bond - Lamberty, who works at the Joint Global Change Research Institute, a collaboration between PNNL and the University of Maryland in College Park, Md. «We need to understand forests in the long term, but forests change slowly and researchers don't live that long.»
Most current
models of forests under
climate change can not
predict when or where forests might die from temperature and drought stress.
Worse,
climate models predict that the areas where marine preserves are
most prevalent — coastal regions in the northern hemisphere — will see greater increases in temperature than the oceans as a whole, Halpin said.
They then looked at 11 different
climate models that
predict precipitation and CAPE through this century and are archived in the
most recent Coupled
Model Intercomparison Project (CMIP5).
Newell's
model projected that the effects of
climate change would not be as severe as
most scientists were
predicting.
These and
most other similar large - scale assessments are based primarily on species distribution (bioclimatic envelope)
models, which use correlations between species» observed distributions and
climate variables to
predict their distributions and hence their extinction risk under future
climate scenarios [9]--[11].
If
climate sensitivity was much lower than
most models predict then adaptation would be a logical political response.
But what the GSL now says is that geological evidence from palaeoclimatology (studies of past
climate change) suggests that if longer - term factors are taken into account, such as the decay of large ice sheets, the Earth's sensitivity to a doubling of CO2 could itself be double that
predicted by
most climate models.
Here's my uneducated question — while I respect Gavin's comments about not abusing the science, it seems to me that many measurable indicators of
climate change are (to the extent I can tell) occurring / progressing / worsening faster than
predicted by
most models, whether we're talking about atmospheric CO2 levels, arctic ice melting, glacial retreat, etc..
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.
The pace of ice loss — both its extent and the amount of the older, thicker ice that survives from summer to summer — has been faster than
most models predicted and clearly has, as a result, unnerved some polar researchers by revealing how much is unknown about ice behavior in a warming
climate.
Additionally, unlike
most other ducks Audubon's
climate model predicts that this species» winter range will contract, and by over one half.
Empirical scientists should be alarmed that while the
most commonly quoted
climate models predict a global temperature increase of 3C per century over this time, it is not happening.
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&
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&
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».
In contrast to Trenberth's 2015 lament that atmospheric circulation patterns are not robustly simulated by CO2 - driven
climate models,
predicting storm tracks and blocking are the
most critical factors for providing early warnings.
The
most obvious being Antarctic sea ice has not declined as all
climate models predicted, but sea ice has now reached record extent.
Even in «low emission»
climate scenarios (forecasts that are based on the assumption that future carbon dioxide emissions will increase relatively slowly),
models predict precipitation may decline by 20 - 25 percent over
most of California, southern Nevada, and Arizona by the end of this century.
Most of the world's Anhingas live in Latin America, though, so data from those regions will be needed to make broad predictions about overall future numbers or potential colonization of the
predicted expansion of summer range based on Audubon's
climate model in the southern United States.
One of the
most controversial issues emerging from the recent Intergovernmental Panel on
Climate Change (IPCC) Fifth Assessment Report (AR5) is the failure of global climate models to predict a hiatus in warming of global surface temperatures sinc
Climate Change (IPCC) Fifth Assessment Report (AR5) is the failure of global
climate models to predict a hiatus in warming of global surface temperatures sinc
climate models to
predict a hiatus in warming of global surface temperatures since 1998.
«That is, show me a
model where I can input a historical data set that terminates in 1900 and have it accurately
predict, to a statistically significant degree,
most of the
climate happenings up through 2000.»
However,
most of the current Earth system
models that
predict climate change and C cycle feedbacks lack both a mechanistic formulation for height - structured competition for light and an explicit scaling from individual plants to the globe.
Such damage is already more common than
most climate models had
predicted, with the boreal belt especially hard hit.
As is the case with
most climate models, they under -
predicted the ensuing decline (Figure 8).
In a comparison of 17 computer
models of world
climate, all
predict global warming will kick in over Antarctica, and
most indicate temperatures in the interior of the continent will rise faster than in the rest of the world, said Dr. Benjamin D. Santer, an atmospheric scientist at Lawrence Livermore National Laboratory.
While it is true that
most of the CO2 - caused warming in the atmosphere was there before humans ever started burning coal and driving SUVs, this is all taken into account by computerized
climate models that
predict global warming...
Although
climate models have been
predicting increasing average global temperatures over the next century or so, the past decade has not shown as much warming as
most scientists had expected.
What Brown and Caldeira have contributed is a look at the large set of
climate models that are used for
climate forecasting, and which of the set were the
most successful at
predicting present conditions given conditions in recent times.
The observation are true even though they were not
predicted by
most climate models.
A major scientific study conducted at the University of Reading on the interactions between aerosols and clouds is much weaker than
most climate models assume, meaning the planet could warm way less than
predicted.
Along the way, the vegetation will relinquish more trapped carbon than
most current
climate models predict.
Carbon feedbacks however are very slow -
most AR4
models assumed them to be zero for purposes of
predicting climate 100 years in advance.
On the Guardian's forums, you'll find endless claims that the hockey stick graph of global temperatures has been debunked; that sunspots are largely responsible for current temperature changes; that the world's glaciers are advancing; that global warming theory depends entirely on computer
models; that
most climate scientists in the 1970s were
predicting a new ice age.
They then looked at 11 different
climate models that
predict precipitation and CAPE through this century and are archived in the
most recent Coupled
Model Intercomparison Project (CMIP5).
Most studies on ice predictability have used a perfect -
model approach, in which a
climate model is used to
predict conditions simulated by that
model, and have focused on seasonal to interannual predictability (e.g., Holland et al., 2011; Blanchard - Wrigglesworth et al., 2011; Chevallier and Salas - Melia, 2012).
These results indicate that the cloud changes
most consistently
predicted by global
climate models are currently occurring in nature.
Geological evidence from studies of past
climate change now suggests that if longer term factors are taken into account, such as the decay of large ice sheets and the operation of the full carbon cycle, the sensitivity of the Earth to a doubling of CO2 could be double that
predicted by
most climate models.
Global
Climate Models (GCMs) generally agree that warming due to increased greenhouse gas concentrations is
predicted to be
most intense in high latitudes.
The thing I still miss
most is a question: «What does it take to be able to say that a
model is qualified to
predict the response of
climate to ghg emission scenarios over a century?»
All the current
climate models predict an increasing temperature with
most models having a default 1 or 2 years out of 20 where they will allow a dip to make the
model seem more natural.
On the Guardian's forums, you'll find endless claims that thehockeystick graph of global temperatures has been debunked; that sunspots are largely responsible for current temperature changes; that the world's glaciers are advancing; that global warming theory depends entirely on computer
models; that
most climate scientists in the 1970s were
predicting a new ice age.
Sohl and her colleagues are taking global
climate models — the ones
most people use to
predict where our planet is heading in the future — and modifying them to study where our planet has been in the past.
The
most accurate
climate change
models predict the
most alarming consequences, study finds (Washington Post, Dec. 6, 2017)
Unlike many who are commenting on the topic, I have actually read
most of the IPCC AR4 (painful as that was), and came to the same conclusion as Lucia: that the IPCC said the
climate models predicted a hot spot in the mid-troposphere, and that this hot spot was a unique fingerprint of global warming («fingerprint» being a particularly popular word among
climate scientists).