Sentences with phrase «global climate change modeling»

A U.S. Forest Service (USFS) study found that between 53 and 97 percent of natural trout populations in the Southern Appalachian region of the U.S. could disappear due to warmer temperatures predicted by global climate change models.

In the original article Angela did write: «This effect, called the permafrost carbon feedback, is not present in the global climate change models used to estimate how warm the earth could get over the next century.»

This effect, called the permafrost carbon feedback, is not present in the global climate change models used to estimate how warm the earth could get over the next century.

I've always thought that you could make a strong case for dramatic reductions in emissions (somewhat indirectly) without ever appealing to the parameter estimates churned out by global climate change models.

MacArthur Foundation grant for «To refine global climate change models to inform locally appropriate strategies for conserving coral reefs in the presence of climate change (over three years), international programs, conservation and sustainable development»

Because the isotopic signatures measured in the study are lower than the values typically entered into global climate change models, the results of this study suggest the models may be underestimating the change to atmospheric carbon - 13 for each simulated emissions scenario.

Not exact matches

It modeled the implications for the company of a requirement for emissions to decline to levels consistent with a so - called «2 °C world» after 2030 and also looked at a number of alternative scenarios based on divergent ranges in global growth and trade, geopolitics, technological innovation and responses to climate change.

It would be like trying to model 1000 years of global climate change on a TRS - 80 computer when it takes a modern 16,000 processor supercomputer a week to process the data.

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.

They used this data compilation to evaluate the quality of their regional atmospheric climate model, based on global climate projections that included several scenarios of anticipated climate change.

With global climate models projecting further drying over the Amazon in the future, the potential loss of vegetation and the associated loss of carbon storage may speed up global climate change.

«The broader idea is that we must understand and include the effects of forest loss when modeling global climate and trying to predict how climate will change in the future,» said Swann.

The goals of the project include reconstructing extreme climate changes from the recent past (1894 - 2014), using historically referenced data to assess near - future global climate model projections, and to ultimately use this analysis to investigate ecological problems in Chesapeake Bay, such as eelgrass diebacks.

Smith and his former research assistant Andrew Mizrahi used a PNNL computer model, the Global Change Assessment Model, or GCAM, to evaluate the impact of reducing soot and methane emissions on Earth's climodel, the Global Change Assessment Model, or GCAM, to evaluate the impact of reducing soot and methane emissions on Earth's cliModel, or GCAM, to evaluate the impact of reducing soot and methane emissions on Earth's climate.

There are more than a dozen widely used global climate models today, and despite the fact that they are constantly being upgraded, they have already proved successful in predicting seasonal rainfall averages and tracking temperature changes.

And by carefully measuring and modeling the resulting changes in atmospheric composition, scientists could improve their estimate of how sensitive Earth's climate is to CO2, said lead author Joyce Penner, a professor of atmospheric science at the University of Michigan whose work focuses on improving global climate models and their ability to model the interplay between clouds and aerosol particles.

«These experiments will enable us to further test and refine the underlying processes in the CORPSE model and should lead to improved predictions of the role of plant - soil interactions in global climate change,» Sulman said.

The resulting outburst of methane produced effects similar to those predicted by current models of global climate change: a sudden, extreme rise in temperatures, combined with acidification of the oceans.

The calculations are in line with estimates from most climate models, proving that these models do a good job of estimating past climatic conditions and, very likely, future conditions in an era of climate change and global warming.

The models can be incorporated into global or regional models for studying climate change, visibility and air quality.

These models currently predict that as a result of today's global climate change, Antarctica will warm twice as much as the rest of the planet, though it won't reach its peak for a couple of hundred years.

Hertel and doctoral student Uris Baldos developed a combination of economic models — one that captures the main drivers of crop supply and demand and another that assesses food security based on caloric consumption — to predict how global food security from 2006 to 2050 could be affected by changes in population, income, bioenergy, agricultural productivity and climate.

The recent slowdown in global warming has brought into question the reliability of climate model projections of future temperature change and has led to a vigorous debate over whether this slowdown is the result of naturally occurring, internal variability or forcing external to Earth's climate system.

The models show that climate change is a less influential driver of global food security than income, population and productivity — but it could still pose a significant risk to the nutrition levels of people living in the world's poorest regions, Baldos said.

Climate models, it says, «can neither confirm that global warming is occurring now, or predict future climate changes», and yet «have been used to frame the debate&Climate models, it says, «can neither confirm that global warming is occurring now, or predict future climate changes», and yet «have been used to frame the debate&climate changes», and yet «have been used to frame the debate».

Here, we review the likelihood of continued changes in terrestrial climate, including analyses of the Coupled Model Intercomparison Project global climate model enseModel Intercomparison Project global climate model ensemodel ensemble.

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

The impact of these results is wide - reaching, and Dr Pullen suggests that it may even change how we think about global climate data: «Climate models need to incorporate genetic elements because at present most do not, and their predictions would be much improved with a better understanding of plant carbon demand.climate data: «Climate models need to incorporate genetic elements because at present most do not, and their predictions would be much improved with a better understanding of plant carbon demand.Climate models need to incorporate genetic elements because at present most do not, and their predictions would be much improved with a better understanding of plant carbon demand.»

By understanding how these fishes evolved, by understanding how we got from the past to the present, we can create a model for predicting what's going to happen as global climates change, as deforestation continues, and all of these aquatic habitats change.

Climate model projections neglecting these changes would continue to overestimate the radiative forcing and global warming in coming decades if these aerosols remain present at current values or increase.

To model a world of ebbing and flowing burns, Krawchuk took historic fire data then mapped it forward using 16 models of changing climates from 2010 on, what the Intergovernmental Panel on Climate Change calls global climate modelsClimate Change calls global climate modelsclimate models (GCM).

For example, when examining hurricanes and typhoons, the lack of a high - quality, long - term historical record, uncertainty regarding the impact of climate change on storm frequency and inability to accurately simulate these storms in most global climate models raises significant challenges when attributing assessing the impact of climate change on any single storm.

Although computer models used to project climate changes from increasing greenhouse gas concentrations consistently simulate an increasing upward airflow in the tropics with global warming, this flow can not be directly observed.

«Most climate models that incorporate vegetation are built on short - term observations, for example of photosynthesis, but they are used to predict long - term events,» said Bond - Lamberty, who works at the Joint Global Change Research Institute, a collaboration between PNNL and the University of Maryland in College Park, Md. «We need to understand forests in the long term, but forests change slowly and researchers don't live that long.&Change Research Institute, a collaboration between PNNL and the University of Maryland in College Park, Md. «We need to understand forests in the long term, but forests change slowly and researchers don't live that long.&change slowly and researchers don't live that long.»

The global climate models assessed by the Intergovernmental Panel on Climate Change (IPCC), which are used to project global and regional climate change, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dyclimate models assessed by the Intergovernmental Panel on Climate Change (IPCC), which are used to project global and regional climate change, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dyClimate Change (IPCC), which are used to project global and regional climate change, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dynChange (IPCC), which are used to project global and regional climate change, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dyclimate change, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dynchange, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dynamics.

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.

«Northwest Atlantic Ocean may get warmer, sooner: High resolution global climate model shows much faster warming and changing ocean circulation.»

For Tom Osborne of Reading University, senior research scientist at the National Centre for Atmospheric Science who models the global impacts of climate change on agriculture, farmers have no choice; they have to adapt where they can and change where they can't.

The scientists then ran two separate climate models to learn how the rate of global warming might change if the 16 measures were deployed, with and without carbon dioxide controls.

«Formation of coastal sea ice in North Pacific drives ocean circulation, climate: New understanding of changes in North Pacific ocean circulation over the past 1.2 million years could lead to better global climate models.»

But say that I want to model global climate change.

We want our climate model to be representative of the processes going on, in order to be predictive of how carbon storage responds to global change.»

«By prescribing the effects of human - made climate change and observed global ocean temperatures, our model can reproduce the observed shifts in weather patterns and wildfire occurrences.»

The finding, detailed in the Jan. 22 issue of the journal Nature, suggests that this process could be important to more accurately modeling how Greenland will respond to climate change and contribute to the already 8 inches of global sea level rise since 1900.

Since trends in convective rainfall are not easily detected in daily rainfall records, or well - simulated by global or regional climate models, the researchers created a new tool to assess the effects of climate change on rainfall patterns and trends in dryland areas.

For the study, Mahony and co-author Alex Cannon from Environment and Climate Change Canada looked at historical observations going back to 1901 and global climate model projections to the yeaClimate Change Canada looked at historical observations going back to 1901 and global climate model projections to the yeaclimate model projections to the year 2100.

The explanation for this could be that the global warming is not yet strong enough to trigger the changes in precipitation patterns that climate models simulate,» reports Charpentier Ljungqvist.

A team of scientists from Vanderbilt and Stanford universities have created the first comprehensive map of the topsy - turvy climate of the period and are using it to test and improve the global climate models that have been developed to predict how precipitation patterns will change in the future.

To inform its Earth system models, the climate modeling community has a long history of using integrated assessment models — frameworks for describing humanity's impact on Earth, including the source of global greenhouse gases, land use and land cover change, and other resource - related drivers of anthropogenic climate change.

He intends to release another study modeling the release of mercury from permafrost due to climate change, and said this work changes scientists» perspective of the global mercury cycle.