Sentences with phrase «simulate climates»

These same models can be used to simulate climates in the past when CO2 levels were higher, and checked against the fossil record (link to page on past climate).

Professor Gavin Foster, from the University of Southampton, said: «The Intergovernmental Panel on Climate Change have shown that climate models can successfully simulate climates from the freezing world of the last Ice Age, to the intense warmth of the «Eocene greenhouse», 50 million years ago.

The paper, «Do cities simulate climate change?

The models apply fundamental physical laws to simulate climate.

Professor Dan Lunt, from the School of Geographical Sciences and Cabot Institute at the University of Bristol said: «Because climate models are based on fundamental scientific processes, they are able not only to simulate the climate of the modern Earth, but can also be easily adapted to simulate any planet, real or imagined, so long as the underlying continental positions and heights, and ocean depths are known.»

A big advantage of GCMs over observed and reanalyzed data is that GCMs are able to simulate climate systems in the future.

Using 19 climate models, a team of researchers led by Professor Minghua Zhang of the School of Marine and Atmospheric Sciences at Stony Brook University, discovered persistent dry and warm biases of simulated climate over the region of the Southern Great Plain in the central U.S. that was caused by poor modeling of atmospheric convective systems — the vertical transport of heat and moisture in the atmosphere.

The researchers then went to an intermediate elevation and simulated climate change by reducing the snowpack, which made the plants flower seven days early, similar in magnitude to flowering time shifts over 20 to 30 years of climate change.

Trying to fix this cold - pole problem, Jeff Kiehl of the National Center for Atmospheric Research in Boulder, Colorado, simulated the climate of 55 million years ago.

Dr Singer added: «We see this model as a useful tool to simulate climate change in regions and cases where traditional models and methods don't capture the trends.»

He and his team reached this conclusion by marrying computer models of how ocean ecosystems behave to models that simulate the climate.

Why It Matters: To arrive at regional and global climate projections, scientists must consider thousands of complex variables to simulate climate processes.

Scientists simulate the climate warming forces driving the jet stream's sometimes erratic path

Computational models that simulate the climate such as CAM5, which is the atmosphere component of the Community Earth System Model used in the Intergovernmental Panel on Climate Change 5th Assessment, are used to predict future climate changes, such as the Arctic sea ice loss.

So GISS climate modeler Michael Way took a topographic map of Venus based on findings from another mission, filled in the lowlands with an ocean of water, and ran the global climate model to simulate the climate of ancient days on Venus.

We are still a long way from being able to simulate the climate with a true first principles calculation.

Quote: Retired senior NASA atmospheric scientist, Dr. John S. Theon, 15th Jan 2009,» My own belief concerning anthropogenic climate change is that the models do not realistically simulate the climate system because there are many very important sub-grid scale processes that the models either replicate poorly or completely omit.

«My own belief concerning anthropogenic climate change is that the models do not realistically simulate the climate system because there are many very important sub-grid scale processes that the models either replicate poorly or completely omit,» Theon explained.

Question: before talking about simulating climate CHANGE, how long does the climate science community expect it to take before GCM's can reproduce the real world climate PRIOR to human induced CO2 perturbation in terms of: — «equilibrium point», i.e. without artificial flux adjustment to avoid climatic drift, — «natural variability», in terms of, for instance, the Hurst coefficient at different locations on the planet?

The committee, led by Harold Shapiro, a past president of Princeton and the University of Michigan, contains some scientific luminaries, including the Nobelist Mario Molina and Syukuro Manabe, one of the pioneers in efforts to simulate the climate system using computers.

So in order to simulate the climate of the earth you will have to say where there are continents, mountain ranges, the amount of gas in the atmosphere, and something as simple as the size of the earth.

The goal of the list is to «raise awareness to other performance metrics of interest (e.g., performance per watt and energy efficiency for improved reliability),» as well as to «encourage supercomputing stakeholders to ensure that supercomputers are only simulating climate change and not creating climate change.»

If the Authors «want to examine... loci at which scientific knowledge is made,» Why not just say what we already know as «virtually certain»: the ipcc's method is almost exclusively «computer - simulated climate science» = gigo; «Expertly» guided by demonizing CO2 and disasterizing Global Warming and spurred onward always by the ethical maxim that «We «mainstream» Climate Scientists are all gonna die from Green Back Starvation Syndrome if we don't gin up some more demonizing and disasterizing «Climate Science» before it's too late!»?

For example, the skill in simulating the climate of the last century when accounting for all known forcings demonstrates the causes of recent climate change (Chapter 9) and this information can be used to constrain the likelihood of future regional climate change (Stott et al., 2006; see also Section 11.10.2).

Models will never succeed in simulating the climate system and the reasoning is brilliantly presented in the following video:

Jim, don't you believe that the output of the GCM is evidence that they aren't good at simulating the climate?

4 On sub-global scales the answer is not so pessimistic, since the only way to get specific knowledge about regional and local scales is to self - consistently simulate the climate system at these scales.

The BBVA Foundation jointly honored Hansen and Princeton University scientist Syukuro Manabe for constructing the first computational models with the power to simulate climate behavior.

As a result of the significant scientific effort to date, aided by public concern, models simulating climate change have gained considerable skill... There will be many scientific and technical challenges along the way, but the hope is that simulations of the global environment will be able to maximise the number of people around the world who can adapt to, and be protected from the worst impacts of, global warming.

above are fit to simulate climate change on a century time scale.

Hence it is not straightforward to understand how much of the variation between simulated climate in the models results from internal climate sensitivity and how much results from differences in the forcings.

For all crops, uncertainties in simulating climate change impacts increase more with temperature than with elevated [CO2].

From the National Academy of Sciences report A National Strategy for Advancing Climate Modeling: Computer models that simulate the climate are an integral part of providing climate information, in particular for future changes in the climate.

In most cases the RCMs are found to do a reasonably good job of simulating the climate of the recent past.

We'd driving the models with the GHG concentrations, and using carbon cycle models within the climate models to simulate the natural carbon fluxes (atmosphere - land and atmosphere - ocean), which themselves are affected by the simulated climate change, and the residual needed to balance the carbon budget then indicates the anthropogenic emissions that would give the prescribed scenario of CO2 rise.

More definitive projections await simulations by more accurate climate models, perhaps with higher densities of computational points to provide greater spatial details of simulated climate processes.

In the study, co-authors Thomas Reichler and Junsu Kim from the Department of Meteorology at the University of Utah investigate how well climate models actually do their job in simulating climate.

Modeling of the recent decadal climate record would require careful accounting for all of the radiative forcings, and would also require accurate modeling of ocean dynamics to accurately simulate the climate system's response time.

Unfortunately for the IPCC and its climate modelers, these simulated climate predictions were wrong.

The Scripps Experimental Climate Prediction Center (ECPC) Regional Spectral Model (RSM) was used to simulate climate under two land surface characteristics: potential natural vegetation and modern land use that includes irrigation and urbanization.

Transient responses in species composition and carbon storage continued as much as 300 years after simulated climate changes ceased.

Much like the models used to forecast weather, climate models simulate the climate system with a 3 - dimensional grid that extends through the land, ocean, and atmosphere.

For our interval method simulated climate characteristics have to lie within the ranges of all seven data - constraints to be regarded as consistent with the data (see Appendix 7.2).

«I have a co-funded — US Department of Energy and Manitoba Hydro — experimental warming study where we are heating the soil and air inside large chambers to simulate the climate 50 years from now to better quantify the effects of climate warming on boreal forest carbon budgets.

Second, nearly every impact of importance is driven by what is liable to happen to the climate on the regional to local scale, but it is well known that current global - scale models have limited ability to simulate climate effects as this degree of spatial resolution.

US CLIVAR is engaging the polar and cryosphere science community to jointly develop strategies to better understand and improve model performance in simulating climate in the polar regions and its global impacts.

On smaller geographic scales, when compared against the current climate, the simulated climate varies substantially from model to model.

In light of the tremendous consequences that can result from such trivial changes, climate modelers now recognize that it is not possible to simulate our climate system perfectly and have devised various approaches to deal with this phenomenon.

By then comparing the results of these Industrial and Non-industrial simulated climates, and recording the occurrence of floods like that of Autumn 2000 in each of them, the change in the frequency of occurrence (or «risk») of such a flood was determined, and therefore how much risk is attributable to human - induced emissions of greenhouse gases over the last century.

This means the energy state of the simulated climate increases systematically across the years.