Not exact matches
Le Duc cites companies like Tesla, which made electric cars fashionable;
Nest Labs, which is revolutionizing home
temperature control and energy use; and Solar City, which scaled up industrial solar panels, all of which are taking revenue from companies with older business
models.
The
models are
not in good agreement with observations — even if they appear to fit the
temperature rise over the last 150 years very well.
Despite the «science is settled» and «consensus» claims of the global - warming alarmists, the fear of catastrophic consequences from rising
temperatures has been driven
not so much by good science as by computer
models and adroit publicity fed to a compliant media.
Control over the
temperature, pressure intensity and cook time are features that I did
not have with my stove - top
model.
This may affect the ability to infer which thermoregulatory variables are being monitored in the presently proposed anticipatory regulation
model, because it is the timing of the changes in work rate that is essential, and rectal
temperature may
not provide the necessary resolution of measurement.
This
model is good value for those who don't need to see their baby but want the comfort of monitoring sounds and baby's
temperature.
The city of Buffalo's current Code Blue
model offers shelter to anyone in need when the
temperatures dip below 15 degrees, but does
not force any individual to go to a shelter.
This phenomenon makes it more difficult for the metal line to cool, and therefore its
temperature rises to values that can
not be explained with present day
models.
The
model draws on historical records of soil and air
temperatures, along with the finding that females can shift their
nesting dates by about 10 days.
Udall and Overpeck found all current climate
models agree that
temperatures in the Colorado River Basin will continue rising if the emission of greenhouse gases is
not curbed.
However, in the 2013 Fifth Assessment Report (AR5), the IPCC concluded that «
Modelling indicates that SRM methods, if realizable, have the potential to substantially offset a global
temperature rise, but they would also modify the global water cycle, and would
not reduce ocean acidification.»
The group's
model suggests that this
temperature hike would result in all - female hatchlings, even if the turtles
nest earlier, when
temperatures are cooler.
While a GCM portrayal of
temperature would
not be accurate to a given day, these
models give fairly good estimates for long - term average
temperatures, such as 30 - year periods, which closely match observed data.
«This is true for both types of
models — those driven with observed sea surface
temperatures, and the coupled climate
models that simulate evolution of both the atmosphere and ocean and are thus
not expected to yield the real - world evolution of the PDO.
«This immediately pointed to the importance of sea surface
temperatures, and also suggested that
models are capable of reproducing the observed rate of tropical widening, that is, they were
not «deficient» in some way.»
That means existing climate change
models predicting the effects of rising
temperatures and heat stress on maize may be counting on yield boosts that aren't coming, and overestimating how much our corn fields will yield in the future.
«However, we know so little about how life began that we should
not use the stability of nucleobases to constrain our
models of Earth's
temperature.»
According to the
model, higher
temperatures will mean that what falls in winter will increasingly be rain,
not snow, and that more of it will run off right away.
Despite large
temperature increases in Alaska in recent decades, a new analysis of NASA airborne data finds that methane is
not being released from Alaskan soils into the atmosphere at unusually high rates, as recent
modeling and experimental studies have suggested.
This
model uses average
temperatures and does
not take into account how a record hot or cold day might affect
nest survival.
It is also argued that experiment clearly indicates that interlayer interactions strongly affect the superconducting transition
temperature, Tc, consistent with the fact that no theoretical calculations on two - dimensional Hubbard
models have resulted in the prediction of high transition
temperatures, and that anyon
models are
not favored by experiment.
Previous global
models did
not adequately capture these currents and the structure of water
temperatures at these depths.
«Most global climate
models underestimate the average
temperature variations that the region has experienced,» Tripati said, adding that the other
models» simulations may be incomplete or the
models are
not sensitive enough.
While Mora's
models, based on yearly average
temperatures, don't forecast monthly highs, lows or precipitation changes, they do show warming trends.
Most current
models of forests under climate change can
not predict when or where forests might die from
temperature and drought stress.
Although the sites aren't ideal for the tortoises now, detailed
modeling of rainfall,
temperature, swamp hydrology, and tortoise biology predict they will be in half a century.
The researchers found climate
models that show a low global
temperature response to carbon dioxide do
not include enough of this lower - level water vapour process.
«This is
not the result of some horrendously complex
model,» Rahmstorf says of sea - level rise's connection to warming
temperatures.
While the
models do
not reliably track individual extreme weather events, they do reproduce the jet stream patterns and
temperature scenarios that in the real world lead to torrential rain for days, weeks of broiling sun and absence of precipitation.
This
model can account well for the observed magnitudes of the high transition
temperatures in these materials and implies a gap that does
not change sign, can be substantially anisotropic, and has the same symmetry as the crystal.
That's because the IPCC
models only take into account
temperature changes at the surface of glaciers, but
not the rapid melting that occurs when glaciers calve and break up into the ocean, Rignot said.
This means that a change of 40 - 50 ppmv of CO2 has no measurable effect on
temperature... That doesn't mean that there is no effect at all, but it is smaller than implemented in current
models.
Plus the climate
models used by the IPCC are physics - based and
not «tuned» to reproduce the most recent
temperatures.
Today's computer
models do
not predict the sort of
temperature rises that occurred during the middle Pliocene, Chandler said.»
The last instance of rapid climate change was 10,000 year ago at the end of the Younger Dryas, when the
temperature in Greenland leapt by 20C within three years [Richard Alley, The Two Mile Time Machine] That is rapid climate change, and that is fact
not a climate
model.
In the paper you cited, it showed how the water vapour was giving the extra boost to the
temperature, but they could
not explain it because their
models were using the logarithmic relationship rather than the linear one.
Bromwich said the disagreement between climate
model predictions and the snowfall and
temperature records doesn't necessarily mean that the
models are wrong.
Comparison with the
modeled temperature response in histAll is inconsistent without accounting for stratospheric water, land - use, solar, etc, some of which are poorly characterized (hence I did
not make use of a calculation like this).
«Furthermore, the
models predict that polar
temperature trends should greatly exceed the tropical values — and they clearly don't... In fact, the Antarctic has been cooling,» adds Singer.
But climate modelers can't add enough carbon dioxide (a planet - warming greenhouse gas) to their Mars atmosphere
models to get the
temperature high enough to keep water from freezing.
I understand that global surface
temperatures are
not responding as rapidly as they should be when the atmospheric
models are considered.
This is
not only in excellent agreement with the observed
temperature changes at the surface (blue stars), it also correctly reproduces the observed heat storage in the oceans — a strong indicator that the
model's heat budget is correct.
These runs aren't perfect, but if the main problem in European regional
temperature increase were due to just the delay, the
models would probably be doing OK.
For example, a climate
model can tell you it will be cold in winter, but it can't tell you what the
temperature will be on a specific day — that's weather forecasting.
The team increased one forcing agent (see sidebar) in a climate
model, for example carbon dioxide, and decreased another, say methane, so that global mean
temperature didn't change.
Speaking at an annual meeting of the American Association for the Advancement of Science, Barnett said climate
models based on air
temperatures are weak because most of the evidence for global warming is
not even there.
The historic
temperature record is a massively important part of this jigsaw though, because it can tell us if todays warming is within natural variability or quite unprecedented, and it is also used to «tune» computer
models (
not that this has any great meaning — another story!).
First, a graph showing the annual mean anomalies from the CMIP3
models plotted against the surface
temperature records from the HadCRUT4, NCDC and GISTEMP products (it really doesn't matter which).
Third, using a «semi-empirical» statistical
model calibrated to the relationship between
temperature and global sea - level change over the last 2000 years, we find that, in alternative histories in which the 20th century did
not exceed the average
temperature over 500-1800 CE, global sea - level rise in the 20th century would (with > 95 % probability) have been less than 51 % of its observed value.
«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.