Sentences with phrase «climate models way»

It would be a miracle if they can develop fit for purpose climate models this way, over the timespan of decades.

And fourth, in another new study, scientists confirmed that climate models way overestimated global warming for the last 20 years because... wait for it... the models are likely unable to simulate natural climate variation correctly.

Models are undoubtedly chaotic — it is the first thing that was understood about climate models way back in the 1960's.

Not exact matches

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.

One way to get an idea of how complex feedbacks play out in Earth's climate is to use computer models.

«There is no way that the models are able to directly simulate these things,» says climate modeler Stephen Zebiak of Columbia University.

Yet some of these recent extremes, such as the summer in March, are way beyond the predictions of our climate models.

Only through painstaking monitoring, like this, can we hope to understand and realistically model and predict the two - way interactions between climate change and the biosphere.»

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.

It's also useful in cosmology and charting the far reaches of the Milky Way, weather prediction and climate change modeling or even aerial reconnaissance missions for national defense.

To predict which creatures are in danger of extinction, the teams used computer modeling and information from the Intergovernmental Panel on Climate Change to compare the way habitats look today with how they may be altered by climate Climate Change to compare the way habitats look today with how they may be altered by climate climate change.

Take, for example, the way climate models predict how trees respond to drought.

According to Yousuke Sato of the RIKEN Advanced Institute for Computational Science (AICS), «this research shows that powerful supercomputers, by performing more fine - grained simulations, can help us to model weather and climate patterns in a more realistic way.

Enkelmann's model suggests that global climate shifts triggered a change in the rheology — the way material behaves.

Traditionally, the United States and other countries have used satellites to measure emissions in a general way, to be used in global climate models.

A few of the main points of the third assessment report issued in 2001 include: An increasing body of observations gives a collective picture of a warming world and other changes in the climate system; emissions of greenhouse gases and aerosols due to human activities continue to alter the atmosphere in ways that are expected to affect the climate; confidence in the ability of models to project future climate has increased; and there is new and stronger evidence that most of the warming observed over the last 50 years is attributable to human activities.

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.

«A cloud system - resolved model can reduce one of the greatest uncertainties in climate models, by improving the way we treat clouds,» Wehner said.

These «integrated assessment models» accounted for energy use, the economy, and climate and the way these different systems interact with one another.

Over 100 specialists in solar physics, geomagnetism, climate modelling or atmospheric chemistry got together to explore this topic in a new way.

Using global climate models and NASA satellite observations of Earth's energy budget from the last 15 years, the study finds that a warming Earth is able to restore its temperature equilibrium through complex and seemingly paradoxical changes in the atmosphere and the way radiative heat is transported.

«This heating is represented in very different ways in different climate models, and is one of the factors responsible for inconsistency of climate model results,» Jin said.

But if powering down or unplugging the computer (the only way it uses zero power) is not an option, then perhaps the most environmentally friendly use of all those wasted computing cycles is in helping to model climate change.

Scientists used modeling to simulate various growing scenarios, and found a climate footprint ranging from -11 to 10 grams of carbon dioxide per mega-joule — the standard way of measuring greenhouse gas emissions.

Climate models predict that the addition of heat - trapping gases in the atmosphere will shift precipitation in two main ways.

Previous studies based on global climate models indicated that the overturning circulation in the North Pacific and North Atlantic responded in opposite ways to major shifts in global climate.

A new model developed at Princeton University predicts that, if the poor continue to be affected in this way — and current climate policies remain the same — the world's future poor will be even worse off than impoverished people today.

To find out whether the climate - driven hypothesis was possible, Olive and his colleagues modeled three different ways in which such rapid pulses of magma might change the face of the sea floor.

A new scientific paper by a University of Maryland - led international team of distinguished scientists, including five members of the National Academies, argues that there are critical two - way feedbacks missing from current climate models that are used to inform environmental, climate, and economic policies.

Climate models do not predict an even warming of the whole planet: changes in wind patterns and ocean currents can change the way heat is distributed, leading to some parts warming much faster than average, while a few may cool, at least at first.

This increase would support efforts by DOE's National Nuclear Security Administration, which manages the nuclear weapons stockpile, and the Office of Science to develop fast, cutting - edge exascale computers, paving the way for advanced climate modeling and biomedical applications.

So scientists have been finding innovative new ways of peering beneath the swells, conscripting everything from seals to climate models to improve their grasp of marine temperature trends.

Previously, most climate models assumed all plants trade water for carbon in the exactly same way, ignoring experimental evidence showing considerable variation among plant types.

See also Willis» article One Step Forward, Two Steps Back, and Lomborg: climate models are running way too hot

Right now, she says, the way climate models incorporate vegetation's response to drought is too simplistic.

Our work shows that this way of thinking is outdated, and we may be grossly under - accounting for methane in our existing climate models.»

In examining the ultimate transdisciplinary issue, humanity's evolving two - way relationship with the climate, I've had the rare privilege of studying the whole picture, from the climate models running on supercomputers in Boulder in 1985 to the burning rain forests of the western Amazon in 1989 to the shifting sea ice around the North Pole in 2003 to the contentious climate treaty talks in one city after another.

Researchers at Chalmers University of Technology have studied new ways of measuring sea level that could become important tools for testing climate models and for investigating how the sea level along the world's coasts is affected by climate change.

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.

«Perhaps as the surface warms the atmosphere has a capacity to release warmth to space in a way the climate models don't take into account.»

Using global climate models is a way that scientists can size up climate outcomes using inputs of historical measurements and estimates of future conditions, depending on whether greenhouse gases are held steady, increase, or decline.

Led by scientists at Pacific Northwest National Laboratory, a research team for the first time developed a simplified and computationally efficient way to represent these carbon - based bits in a climate model.

To track soot, the team developed a new way to tag particles emitted from individual sources within the climate model.

Expanding this study to a larger range of sources, and getting more models involved will go a long way toward providing information on how the climate system works and how to better understand climate change.

Moreover, similar answers were found in different climate models, suggesting that this is a very simple way of ascertaining some of the mechanisms that can explain climate system response to climate change.

To replicate this roundabout route in climate models, a team of Pacific Northwest National Laboratory researchers found a way to compute the complex fluxes using statistical distributions of the vertical velocity and the kinds of precipitating particles within the convective clouds.

They compared the empirical data to the model simulations of the MJO, where much of the MJO processes are currently represented with parameterizations, a way to express complex climate systems in a computationally efficient way.

The new study discovered «something fundamentally wrong with the way temperature and carbon are linked in climate models.»

The study used three climate models that handle the basic atmospheric calculations and physics in different ways.

The extra data spanning many thousands of years that this study uncovers will go a long way to matching model projections with past observations, helping scientists identify the most accurate models for making predictions of future climate change.