That was my original impression
about the climate modeling in general.
So he managed to refute Naomi Oreskes 1995 paper then
about climate models in his TED talk?
Not exact matches
Blank, who recently spent two weeks
in Chile lecturing
about innovation, says Start - Up Chile could offer a breakthrough
model for other small countries hoping to create a start - up
climate.
I confess that I have become somewhat blasé
about the range of exciting — I think revolutionary is probably more accurate — technologies that we are rolling out today: our work
in genomics and its translation into varieties that are reaching poor farmers today; our innovative integration of long — term and multilocation trials with crop
models and modern IT and communications technology to reach farmers
in ways we never even imagined five years ago; our vision to create a C4 rice and see to it that Golden Rice reaches poor and hungry children; maintaining productivity gains
in the face of dynamic pests and pathogens; understanding the nature of the rice grain and what makes for good quality; our many efforts to change the way rice is grown to meet the challenges of changing rural economies, changing societies, and a changing
climate; and, our extraordinary array of partnerships that has placed us at the forefront of the CGIAR change process through the Global Rice Science Partnership.
«Even our upper estimate, 0.01 bar, is an insignificant amount
in comparison to the atmosphere required to maintain a sufficiently strong greenhouse effect,
about 1 bar or more according to
climate models.»
Similar conclusions were reached
about impacts of
climate change on wheat
in the UK, where
climate change
models are predicting warmer, wetter winters for the country.
When they corrected the error, Wentz and Schabel derived a warming trend of
about 0.07 °C per decade, more
in line with surface thermometers and
climate models.
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.
Over the past 34 years, rainfall
in Uganda has decreased by
about 12 percent even though many of the global
climate models predict an increase
in rainfall for the area, according to an international team of researchers.
About 80 percent of the 23
climate models used by the Intergovernmental Panel on Climate Change predict some degree of drought in the Amazon if greenhouse gas emissions keep climbing, h
climate models used by the Intergovernmental Panel on
Climate Change predict some degree of drought in the Amazon if greenhouse gas emissions keep climbing, h
Climate Change predict some degree of drought
in the Amazon if greenhouse gas emissions keep climbing, he said.
The researchers then used a mathematical
model that combined the conflict data with temperature and rainfall projections through 2050 to come up with predictions
about the likelihood of
climate - related violence
in the future.
Climate models suggest that widespread glaciations couldn't take place at that time unless CO2 levels dropped to
about eight times what they are at present, says Tim Lenton, an earth scientist at the University of Exeter
in the United Kingdom.
But early on Jenkins realized that the global
climate models are too coarse to tell much
about what's going to happen
in the Sahelian zone.
James Hansen, director of NASA's Goddard Institute for Space Studies
in New York City and a vociferous advocate for lowering global greenhouse gas emissions, was chosen for his work
modeling Earth's
climate, predicting global warming, and warning the world
about the consequences.
About a dozen research groups recently launched a new effort called PlioMIP2, or Pliocene Model Intercomparison Project, Phase 2, to model the climate of a time somewhat similar to today in the mid-Pliocene, about 3.205 million years
About a dozen research groups recently launched a new effort called PlioMIP2, or Pliocene
Model Intercomparison Project, Phase 2, to model the climate of a time somewhat similar to today in the mid-Pliocene, about 3.205 million years
Model Intercomparison Project, Phase 2, to
model the climate of a time somewhat similar to today in the mid-Pliocene, about 3.205 million years
model the
climate of a time somewhat similar to today
in the mid-Pliocene,
about 3.205 million years
about 3.205 million years ago.
Uncertainty
about rain, little uncertainty
about sea level rise
Climate change could also affect precipitation
in California, though the two
models USGS used
in its research produced different results.
Gentine and his team are now exploring ways to
model how biosphere - atmosphere interactions may change with a shifting
climate, as well as learning more
about the drivers of photosynthesis,
in order to better understand atmospheric variability.
They used two different
climate models, each with a different sensitivity to carbon dioxide, to project California's future under two scenarios: an optimistic one,
in which we only double the level of carbon dioxide
in the atmosphere — since the 19th century we've already increased it by
about a third — and a pessimistic scenario,
in which we more than triple CO2.
The scientists generated the enormous dataset by running NCAR's Weather Research and Forecasting
model at an extremely high resolution of
about 4 kilometers (
about 2.5 miles), across the entire contiguous U.S. Typical
climate models only resolve to
about 100 kilometers (
about 62 miles)-- not nearly the detail available
in the new dataset.
If only modest action is taken to reign
in greenhouse gas emissions, the
model predicts that pikas will disappear from
about 75 percent of sites by 2070 (51 to 88 percent, depending on the global
climate model used).
The newly recovered descriptions could provide valuable perspective
about past conditions and possibly help scientists hone computer
models that predict changes
in the region's
climate.
«The change
in flux described by our
model happens over extremely long time periods, and it would be a mistake to think that these processes that are bringing
about any of the atmospheric changes are occurring due to anthropomorphic
climate change,» he said.
In the journal Nature Climate Change it is demonstrated, that modeled DMS emissions decrease by about 18 (± 3) % in 2100 compared to preindustrial times as a result of the combined effects of ocean acidification and climate chang
In the journal Nature
Climate Change it is demonstrated, that modeled DMS emissions decrease by about 18 (± 3) % in 2100 compared to preindustrial times as a result of the combined effects of ocean acidification and climate
Climate Change it is demonstrated, that
modeled DMS emissions decrease by
about 18 (± 3) %
in 2100 compared to preindustrial times as a result of the combined effects of ocean acidification and climate chang
in 2100 compared to preindustrial times as a result of the combined effects of ocean acidification and
climate climate change.
«A challenge for the coming years is to use these kinds of
climate models to be able to make predictions
about populations and ecosystems
in the future.
That uncertainty is represented
in the latest crop of global
climate models, which assume a
climate sensitivity of anywhere from
about 3 to 8 degrees F.
Isaac Held, a National Oceanic and Atmospheric Administration
climate scientist, said he agreed with the researchers
about the «the importance of getting the ice - liquid ratio
in mixed - phase clouds right,» but he doesn't agree that global
climate models generally underestimate
climate sensitivity.
«Our goal is to learn enough
about these convoluted processes to represent them (for the first time)
in the
models that scientists use to predict how our
climate will evolve over the 21st century and beyond.»
It was amazing to see how our results, when combined with work of many other research groups and compared to the newest generation of
climate models, revealed a consistent story
about how rainfall patterns were altered
in the past.»
«Many studies have looked at average snowfall over a season
in climate models, but there's less known
about these very heavy snowfalls,» says study author Paul O'Gorman, an associate professor
in MIT's Department of Earth, Atmospheric and Planetary Sciences.
«If you haven't had proximity to these glaciers, if you haven't thought
about where water comes from, it would be easy to understate or underestimate the implications of glacial ice loss
in a state that has predominantly a semi-desert
climate and certainly by contemporary
climate models is going to be pretty significantly impacted by
climate change,» said Jacki Klancher, a professor of environmental science at Central Wyoming College.
Who's to Blame To avoid price gouging, consumer advocate Newton and scientist Mills urge insurance companies to be transparent
about the
models they use for setting premiums — specifically how they factor
in catastrophes believed to have been brought on by
climate change.
«As
climate models are being developed, we are beginning to get more accurate information
about the impacts of
climate change to severe weather incidents
in areas like Finland,» says meteorologist Pauli Jokinen from Finnish Meteorological Institute.
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.
Scientists use data from the SGP to learn
about cloud, aerosol, and atmospheric processes, which
in turn leads to improvements
in models of the Earth's
climate.
Because elements of this system are poorly understood and poorly represented
in global
climate models, collecting real - time, complementary data from a variety of areas will go a long way toward improving scientists ability to use these
models for making accurate predictions
about Earths
climate.
On the face of it the range of the IPCC
models is centrally within the A&H 90 % range, but visual inspection of Figure 1 suggests that A&H find that there is
about a 45 % probability that
climate sensitivity is below the lower end of the range quoted by Meehl
in August 2004 (Of course the IPCC draft report, which I have not seen, may include
models with lower sensitivity than 2.6 ºC).
That may be true if you are talking
about climate models, but
in determining the impact of higher temperatures on ecosystems and agriculture, knowledge
about the MWP and other past temperature extremes is likely very interesting.
Of the many inane arguments that are made against taking action on
climate change, perhaps the most fatuous is that the projections
climate models offer
about the future are too uncertain to justify taking steps that might inconvenience us
in the present.
According to one study that looked at eight fuel aridity metrics
in the Western U.S. and
modeled climate change's effects on them, human - caused
climate change accounted for
about 55 percent of the observed increases
in fuel aridity between 1979 and 2015 (Figure 6), and added an estimated 4.2 million hectares of forest fire area between 1984 and 2015.7 Based on all eight metrics, the Western U.S. experienced an average of 9 additional days per year of high fire potential due to
climate change between 2000 and 2015, a 50 percent increase from the baseline of 17 days per year when looking back to 1979.
The study noted that the same
climate models the UN IPCC uses can only «explain only
about half of the heating that occurred during a well - documented period of rapid global warming
in Earth's ancient past.»
«The study found that
climate models explain only
about half of the heating that occurred during a well - documented period of rapid global warming
in Earth's ancient past.
How
about telling everybody how these how
climate models work
in more detail?
Hi, I don't mean to turn this into yet another sceptic thread, but I've read
in another site that there apparently are doubts
about current
models assuming that
climate sensitivity is constant.
But that makes me suspect the sociology article can't be
about scientists directly involved
in doing
climate modeling — the modelers have to be explicit
about the exact meaning of each concept taken into account, to be able to do their math.
The
model in question didn't give a particularly good simulation of the present - day
climate, but one could say the same
about every
model if one was picky enough...
Another high - profile UN IPCC lead author, Dr. Kevin Trenberth, echoed Renwick's sentiments
in 2007
about climate models by referring to them as «story lines.»
«The IPCC acknowledges
in its 4th Assessment Report that ENSO conditions can not be predicted more than
about 12 months ahead, so the output of
climate models that could not predict ENSO conditions were being compared to temperatures during a period that was dominated by those influences.
The results could lead to better predictive
models to inform future decisions
about energy production and use, and a better understanding of changes
in the
climate.
A couple of commentators (Pat Michaels, Roy Spencer) recently raised an issue
about the standard scenarios used to compare
climate models,
in this case related to a study on the potential increase
in hurricane activity.
There is still uncertainty
about many aspects of the dynamics of
climate change, and this will only be addressed by investment
in climate models and the top - of - the - range supercomputers needed to run them.