Sentences with phrase «climate modelling process»

The IPCC's Fifth Assessment Report (AR5) relies heavily on the Coupled Model Intercomparison Project, Phase 5 (CMIP5), a collaborative climate modelling process coordinated by the World Climate Research Programme (WCRP).

This project attempted to explore these events and to match them against other records to help better inform the climate modelling process.

The IPCC climate modelling process is unreliable because it does not do so, he says, adding that the focus on greenhouse gases has been driven by a priori assumptions in the models themselves.

Not exact matches

What CEO's, CMO's, and CSO's can begin to ascertain is how buyers are making decisions (i.e. their buying processes)-- what is even more important in today's business climate is to understand why buyer decision models are transforming and to adapt accordingly.

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.

During a first postdoc, she focused on the theoretical side, producing a mathematical model complex enough to represent the physical processes at play yet simple enough that it could also be included in a global climate model, she says.

«Models are used to predict how soil processes change, for example, in response to climate change,» said Steve Allison, coauthor from the University of California, Irvine.

This is because the models are based on equations representing the best understanding of the physical processes that govern climate, and in 2001 they were not fine - tuned to reproduce the most recent data.

The second advance is the incorporation of more realistic representations of climate processes in the models.

Whether it can be relied upon by government and if the details of collecting and processing it are disclosed «and documented with enough detail» to reliably capture new science for weather and climate models will be important.

In order to improve the predictive power of climate models, it is now crucial to understand the biological processes in the soil better, say the scientists.

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.»

Climate models simulate real physical processes which operate in both cooling and warming climates.

«This model will allow critical plant - soil interaction processes to be included in future climate assessments,» Phillips said.

«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.

It was only possible through the participation of thousands of members of the public in the work's biggest ever climate modelling exercise: they offered up spare processing capacity on their home computers to run the calculations via the Climate Prediction citizen science climate modelling proclimate modelling exercise: they offered up spare processing capacity on their home computers to run the calculations via the Climate Prediction citizen science climate modelling proClimate Prediction citizen science climate modelling proclimate modelling programme.

No climate models were used in the process that revealed the tropospheric hotspot.

The high resolution made it possible for the researchers to uncover the processes taking place in the atmosphere, which are only included in global climate models to a very approximate degree.

Traditional climate models do not see these processes to an adequate degree.

«It's not all sites and all places at all times, but if we have confidence in the climate model predictions, then according to these theories, we would expect the whole process to accelerate over next few decades,» Veblen said.

The small - scale processes giving rise to thunderstorms make their direct simulation in climate models impossible given current computing power.

The research suggests that scientists modeling global climate processes may need to add the contribution of such swimmers to the mix.

The models also include the greenhouse gas emissions and other pollutants that result from these processes, and they incorporate all of that information within a global climate model that simulates the physical and chemical processes in the atmosphere, as well as in freshwater and ocean systems.

Included in the new data are finer - scale cloud processes than have been available in previous climate models.

In fact, cloud and mesoscale, or medium - scale, processes in the atmosphere are among the biggest uncertainties in today's climate models, Rasmussen said.

«Our model can help predict if forests are at risk of desertification or other climate change - related processes and identify what can be done to conserve these systems,» he said.

«The change in flux described by our model happens over extremely long time periods, and it would be a mistake to think that these processes that are bringing about any of the atmospheric changes are occurring due to anthropomorphic climate change,» he said.

To investigate this, DeConto and Pollard developed a new ice sheet - climate model that includes «previously under - appreciated processes» that emphasize the importance of future atmospheric warming around Antarctica.

The research may force a re-examination of the role of acidity in atmospheric chemistry, especially where it affects key processes in climate change models.

The global climate models do a good job of simulating the process of sea ice formation over large areas in the open ocean.

«We have identified an important process that current global climate models don't adequately capture.

But the critical coastal process, which actually generates more of the deep water, occurs on smaller scales and is only captured in high - resolution regional climate models, Knudson said.

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.»

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.

Using climate models to understand the physical processes that were at play during the glacial periods, the team were able to show that a gradual rise in CO2 strengthened the trade winds across Central America by inducing an El Nino - like warming pattern with stronger warming in the East Pacific than the Western Atlantic.

«Our goal is to learn enough about these convoluted processes to represent them (for the first time) in the models that scientists use to predict how our climate will evolve over the 21st century and beyond.»

Peng says they chose CLM as the hosting framework to implement the new model because it is more process - based and can be coupled with climate models.

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.

This is the conclusion of a report that reviews the results obtained from the implementation of the forest simulation model GOTILWA +, a tool to simulate forest growth processes under several environmental conditions and to optimize Mediterranean forests management strategies in the context of climate change.

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.

* «If we want to have more and more accurate climate models, we have to be able to capture processes such as this,» Peacock says.

«When the processes are correct in the climate models the level of climate sensitivity is far higher.

To date, Singer and Michaelides have used it to identify real climate change over a broad region, but they are in the process of coupling STORM to a runoff model to explore scenarios of climate change and how they might really affect the magnitude and the frequency of runoff.

Mixing artificial intelligence with climate science helps researchers to identify previously unknown atmospheric processes and rank climate models

Importantly, these new observations can now be used in climate models to see if these past changes in ENSO processes can be reproduced.

Some of these feedback processes are poorly understood — like how climate change affects clouds — and many are difficult to model, therefore the climate's propensity to amplify any small change makes predicting how much and how fast the climate will change inherently difficult.

Now, researchers who study the Earth's climate system have extended the state - of - the - art Earth system models for physical and biogeochemical oceanic processes, projecting conditions through 2300.

The ice sheets themselves are the biggest challenge for climate modelling since we don't have direct evidence of the many of the key processes that occur at the ice sheet base (for obvious reasons), nor even of what the topography or conditions are at the base itself.

As can be seen your graph, our climate models make a wide range of predictions (perhaps 0.5 - 5 degC, a 10-fold uncertainty) about how much «committed warming» will occur in the future under any stabilization scenario, so we don't seem to have a decent understanding of these processes.