Sentences with phrase «relied on climate models»

IPCC relied on climate models (CMIP5), the hypotheses under test if you will, to exclude natural variability: «Observed Global Mean Surface Temperature anomalies... lie well outside the range of Global Mean Surface Temperature anomalies in CMIP5 simulations with natural forcing only, but are consistent with the ensemble of CMIP5 simulations including both anthropogenic and natural forcing...» (Ref.: Working Group I contribution to fifth assessment report by IPCC.

Previous attempts to estimate this planetary imbalance relied on climate models rather than observations because sufficiently detailed observations were not available then.

The team relied on climate modeling as well as observations to show that the effect is already occurring in the Arctic and is expected to increase in the future as the climate warms.

To predict the consequences of carbon emissions, we must therefore rely on climate models built from our best understanding of how the climate system works.

If weather forecasts are so changeable, we certainly can't rely on climate model forecasts.

Betts» job relies on climate models.

The theory of catestrophic global warming DOES rely on climate models.

Future sea level rise scenarios ignore all contributions from natural climate variability, and rely on climate models that are apparently running too hot that are anchored by unrealistic emissions scenarios

And you're not disputing I think that it was the only paper selected (rightly or wrongly) that did not rely on climate models for its sensitivity calculation.

Not exact matches

He said that if he had to rely on the European Space Agency's limited, difficult - to - access data for his work checking climate model predictions against reality, he'd be «more or less blind» — particularly in the vast, uninhabited stretches of the globe like the Pacific, which are vital for understanding the world climate.

Policies of climate protection rely on useless computer models of the IPCC.

The Blue Brain Project Scientists rely on computer models to understand the toughest concepts in science: the origin of the universe, the behavior of atoms, and the future climate of the planet.

So far, though, it has been difficult to measure this important indicator, with current climate models relying on rough carbon estimates.

They said the real strength of the Jacobson study — now in press at the Journal of Geophysical Research - Atmospheres — is that it relies on a new computer model of climate, air pollution and weather that accounts for several different ways black carbon influences the environment.

Also, the new mortality estimates, while dramatically higher than the approximately 150,000 annual deaths attributed to climate change stress in WHO's last assessment in 2004, are not directly comparable to earlier studies, which relied on different models and different underlying scenarios.

To simulate the tropical climate to learn more about its processes, climate scientists have typically been relying on general circulation models (GCMs) to simulate the tropical climate.

Most important, it relies on the first published results from the latest generation of so - called Earth System climate models, complex programs that run on supercomputers and seek to simulate the planet's oceans, land, ice, and atmosphere.

For that they use climate modeling, which relies on good data.

However, while the models are useful for examining large - scale climate patterns and how they are likely to evolve over time, they can not be relied on for an accurate depiction of extreme weather events.

The models aimed to simulate how the planet's climate system would react to rising CO2 levels, relying on a combination of mathematics, physics, and atmospheric science.

Results: The complex models scientists rely on to determine weather and potential climate changes have a hidden flaw.

Projections of future climate and weather events rely on models demonstrably unfit for the purpose.

The researchers relied on climate data and modeling to present a sweeping regional view of 30 years of worsening forest fires.

Previous proofs have relied on complex climate models, but this proof doesn't need such models — just careful observations of the land, ocean and atmospheric gases.»

He has also spoke at the Texas Public Policy Foundation's Crossroads conference, promoting the idea that the climate models scientists and policy makers rely on are un-validated.

Of course, these evaluations rely on the models being able to mimic the sensitivity of the real climate system and assume that paleoclimatic reconstructions of the temperature do adequately describe the past climate variations.

Meanwhile the PR departments of the same companies were claiming the climate models were too unreliable to, well, rely on.

(Paper abstract) Climate models may underestimate heat stored in ground General circulation models (GCMs), the primary tool for estimating the magnitude of future climate change, rely on realistic inputs to generate accurate prediClimate models may underestimate heat stored in ground General circulation models (GCMs), the primary tool for estimating the magnitude of future climate change, rely on realistic inputs to generate accurate prediclimate change, rely on realistic inputs to generate accurate predictions.

Projections of future climate and weather events rely on models demonstrably unfit for the purpose.

-- in which case, that's a statistical model prediction, which, at least in this context, we shouldn't rely on — if we actually know some things about how the climate works then it makes more sense to use that knowledge.

Professor William Happer of Princeton, one of the world's foremost physicists, says computer models of climate rely on the assumption of the CO2's direct warming effect that is about a factor two higher, owing to incorrect representation of the microphysical interactions of CO2 molecules with other infrared photons.

We already looked at how climate skeptics rely on a selective reading of the literature to highlight low estimates of climate sensitivity and use the divergence between climate models and measured temperatures to make conjectural statements about climate models being too sensitive to CO2, without considering other factors that could account for such divergence.

Scientists rely on computerised climate models to make their predictions about climate change.Modelling experiments begin with a computer simulation of the present - day climate.

For this purpose, we instructed them to indicate their level of agreement or disagreement with statements such as «the scientists who did the study were biased,» «computer models like those relied on in the study are not a reliable basis for predicting the impact of CO2 on the climate,» and «more studies must be done before policymakers rely on the findings» of the study etc..

They charge that NASA is relying too heavily on complex climate models that have proven scientifically inadequate in predicting climate only one or two decades in advance.

Climate projections, such as those used by the Intergovernmental Panel on Climate Change, rely on models that simulate physical properties that affect climate, including clouds and water vapor cClimate projections, such as those used by the Intergovernmental Panel on Climate Change, rely on models that simulate physical properties that affect climate, including clouds and water vapor cClimate Change, rely on models that simulate physical properties that affect climate, including clouds and water vapor cclimate, including clouds and water vapor content.

Will California continue to rely on its Russian roulette game of climate models?

The Swedish professor tells the BAZ that he became a skeptic of alarmist climate science early on because «the [UN] IPCC always depicted the facts on the subject falsely» and «grossly exaggerated the risks of sea level rise» and that the IPCC «excessively relied on shaky computer models instead of field research.»

The most credible of the contrarians, Richard Lindzen, has relied primarily on arguments that the feedback from water vapour, which plays a central role in climate models, might actually be zero or even negative.

The IPCC is straightforward in its introduction to attribution and doesn't claim anything other than that attribution needs some kind of modelling (because we can't put the climate in a bottle) and that this method relies on a number of different tactics, including the consensus of what these tactics mean of the experts.

The results of the global climate models (GCMs) relied on by IPCC are only as reliable as the data and theories «fed» into them.

Obviously, these RCM predictions heavily rely on the quality of the boundary conditions provided by global climate models, and fail to represent dynamically the spatial interaction between the region of interest and the rest of the world.

Regional climate models rely on global climate models for their boundary conditions.

They are not alone as all parts of climate science lack data, use estimated data, rely on computer model output based on no data, and ignore natural causes of weather and climate change.

The method does not rely on any sort of climate model, making the assumptions and approximations clearly visible and understandable, and allowing them to be easily changed.

The authors also mock the CO2 - based climate models that the IPCC Climategate scientists solely rely on:

For a useful critique of model - starting - points which bear no relation to the real - world, see: D. Koutsoyiannis et al (2008) «On the credibility of climate predictions» in Hydrological Sciences 53 (4) August 2008 671-684, who conclude that the GCM models defy normal assessments of validity and should not be relied upon to predict future climate change.

Research addressing this question relies on global climate model simulations based on a range of anticipated greenhouse gas (GHG) emissions scenarios.

Until climate models have been unambiguously confirmed by experiment, I believe that it is unwise to rely on them for policy purposes.

For example, scenarios that rely on the results from GCM experiments alone may be able to represent some of the uncertainties that relate to the modelling of the climate response to a given radiative forcing, but might not embrace uncertainties caused by the modelling of atmospheric composition for a given emissions scenario, or those related to future land - use change.