Sentences with phrase «climate model representations»

Researchers in Berkeley Lab's Earth Sciences Division are focusing on improving global climate model representations of these processes under two Department of Energy - funded projects.

Not exact matches

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

When data like these are included in climate models, it can refine representations of hard - to - capture features such as storms.

«For scientists to create more accurate models of Earth's current and future climate, they'll have to include more accurate representations of clouds.»

Climate models are virtual representations of Earth split into grids.

The ARM Climate Research Facility is managed to ensure it fulfills its mission to provide observation data to improve the understanding of climate processes and the representation of those processes in climate Climate Research Facility is managed to ensure it fulfills its mission to provide observation data to improve the understanding of climate processes and the representation of those processes in climate climate processes and the representation of those processes in climate climate models.

The climate models aren't really good enough in their representation of present - day circulation to give you much confidence in the specifics of their predictions [so that you could use them to do a cost - benefit analysis for example], but the risk of widespread change is still there.

«Representation of Arctic Mixed - Phase Clouds and the Wegener - Bergeron - Findeisen Process in Climate Models - Perspectives from a Cloud - Resolving Study.»

Sally, who was nominated by Dr. Beat Schmid, Associate Director, Atmospheric Sciences and Global Change Division, was honored for her exceptional contribution in the field of atmospheric science, particularly in her efforts to improve understanding of the radiative effect of clouds and aerosols on the Earth's atmosphere and their representation in climate models.

Next, scientists will work on correcting the representation of tropical cloud depth in global climate models to better project future climate change.

Methods: The researchers demonstrated that an adequate representation of strong precipitating storms in climate models is not possible without an accurate description of rain and snow transport by infrequent and vigorous upward and downdrafts.

Climate models are mathematical representations of the interactions between the atmosphere, oceans, land surface, ice — and the sun.

Their research, published in the Journal of Geophysical Research Atmospheres, includes results for better representation of Arctic clouds in global climate models.

Researchers offered other suggestions for improving cloud representations in global climate models.

What's Next: With this new knowledge of the complex interactions between dynamic and microphysical processes in mixed - phase clouds, researchers can improve the representation of these clouds in climate models.

A: Climate models are mathematical representations of the interactions between the various aspects of the climate system including the atmosphere, oceans, land surface, ice, and tClimate models are mathematical representations of the interactions between the various aspects of the climate system including the atmosphere, oceans, land surface, ice, and tclimate system including the atmosphere, oceans, land surface, ice, and the Sun.

Ghan, an atmospheric and climate scientist, has made seminal contributions to the representation of cloud - aerosol interactions in climate models.

Proposed campaigns should focus on research that addresses the ARM mission of improving the understanding and representation of clouds and aerosols in climate and earth system models, as well as their interactions and coupling with Earth's surface.

Comprehensive measurements from ARM's state - of - the - art instrument systems at Barrow and Oliktok Point will help scientists improve the understanding of high - latitude cloud and radiation processes, and their representation in global climate models.

Progress in the simulation of important modes of climate variability has increased the overall confidence in the models» representation of important climate processes.

First, the hypothesis of manmade global warming is only supported by general circulation models, which are known to be imperfect representations of the Earth's climate systems.

The point then is that the model is not dependent on the observed data and because it is a representation of the physical processes governing the climate system the model eventually gets earth's climate to where it is.

It is important to keep in mind that models are only approximate representation of the real world, and that they are only meant to capture the essence of our climate — i.e. the larger picture.

A: Climate models are mathematical representations of the interactions between the various aspects of the climate system including the atmosphere, oceans, land surface, ice, and tClimate models are mathematical representations of the interactions between the various aspects of the climate system including the atmosphere, oceans, land surface, ice, and tclimate system including the atmosphere, oceans, land surface, ice, and the Sun.

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.

Our study shows that in 35 - years long high - resolution simulations the new model version can reproduce the state of the Fenno - Scandinavian lakes realistically, thus leading to a better representation of the overall climate.

Increasing the grid - resolution of an atmosphere or ocean model, or introducing more realistic representations of particular processes, generally (but not always) makes the climate which it simulates more realistic.

It combines representations of the global economy, energy systems, agriculture and land use, with representation of terrestrial and ocean carbon cycles, a suite of coupled gas - cycle, climate, and ice - melt models.

Improving the representation of feedbacks in climate models, and checking them against observations, is probably the most important area of climate modelling research at present.

• Representation of climate processes in models, especially feedbacks associated with clouds, oceans, sea ice and vegetation, in order to improve projections of rates and regional patterns of climate change.

No Warranty: The Gridded Hydrologic Model Output is provided by the Pacific Climate Impacts Consortium with an open license on an «AS IS» basis without any warranty or representation, express or implied, as to its accuracy or completeness.

The US CLIVAR Greenland Ice Sheet - Ocean Interactions Working Group was formed to foster and promote interaction between the diverse oceanographic, glaciological, atmospheric and climate communities, including modelers and field and data scientists within each community, interested in glacier / ocean interactions around Greenland, to advance understanding of the process and ultimately improve its representation in climate models.

The Madden - Julian Oscillation (MJO) Task Force (hereafter MJO - TF) has the goal to facilitate improvements in the representation of the MJO in weather and climate models in order to increase the predictive skill of the MJO and related weather and climate phenomena.

I'm going to assume you aren't claiming that most climate scientists don't understand that there are issues with the models, that different models give different results, that as we move in time the models are less likely to be accurate, and that the models are just that models and not complete realistic representations of climate.

The FAst - physics System TEstbed and Research (FASTER) Project has constructed case studies from the Atmospheric Radiation Measurement Climate Research Facility's Southern Great Plain site during the RACORO aircraft campaign to facilitate research on model representation of boundary - layer clouds.

The functions form an orthonormal basis on the sphere, so the mathematical properties of the representation are well understood (indeed, it seems to be used in the climate models).

Given the sheer complexity of the climate system, I am surprised at the confidence which some climate scientists place in these models — and there have been only a few attempts to judge just how good a representation of reality the models are.

The Joint Program IAM integrates a geospatially resolved physical representation of climate impacts into a coupled human and Earth system modeling framework.

Adding local information, not captured in the coarse scale climate model or observational archives, can provide an improved representation of the relevant processes at this scale, and thus yield additional information, for instance concerning topography, land use or small scale features such as sea breezes or organisation of convection.

The ARM Climate Research Facility, a DOE scientific user facility, provides the climate research community with strategically located in situ and remote - sensing observatories designed to improve the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their interactions and coupling with the Earth's sClimate Research Facility, a DOE scientific user facility, provides the climate research community with strategically located in situ and remote - sensing observatories designed to improve the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their interactions and coupling with the Earth's sclimate research community with strategically located in situ and remote - sensing observatories designed to improve the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their interactions and coupling with the Earth's sclimate and earth system models, of clouds and aerosols as well as their interactions and coupling with the Earth's surface.

Improving representation of the cryosphere in climate models is still an area of intense research and continuing progress (Chapter 8).

After all models are mathematical representations of the climate.

On p601, they state that «Models continue to have significant limitations, such as in their representation of clouds, which lead to uncertainties in the magnitude and timing, as well as regional details, of predicted climate change.»

We will discuss the evidence for change, the inability of our climate models to predict these changes, the processes responsible for sea ice reduction and improved representation of these processes in climate models, and the impacts of sea ice change on local and global weather and climate.

Climate models are mathematical representations of the interactions between the atmosphere, oceans, land surface, ice — and the sun.

If climate models are able to reproduce past warm climatic conditions (such as those of the LIG), including the extent of Arctic sea ice cover, we will have additional confidence in their representation of Arctic processes and their projections for the future20, 21,22,23.

We find that the expected 95 % range of future climate trends induced by NAO fluctuations estimated from the observed statistics of the NAO and the modeled response to increased GHGs is largely similar to that obtained from the CESM - LE directly, attesting to the fidelity of the model's representation of the NAO and the utility of this approach.

I've not seen a representation of how Canadian data has been incorporated into the climate models.

The climate models that scientists use to understand and project climate change are improving constantly, with better representations of the oceans, ice, land surfaces and other factors in the atmosphere.

And different models may project different outcomes even under the same assumptions, due to the variety of «equally plausible numerical representations, solutions and approximations for modelling the climate system, given the limitations in computing and observations» [AR5, FAQ 12.1, p. 1036].