Sentences with phrase «improve global climate models»

The Aerosol Modeling Testbed provides the global modeling community with a way to systematically and objectively evaluate aerosol process modules to quantify uncertainties and improve global climate models.
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.
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.
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 study concludes that incorporating this new insight into soil models will improve our understanding of how soils influence atmospheric carbon dioxide levels and global climate.
«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 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.»
This technique lays the foundation for much improved parameterizations of climate change and global vegetation models, which will tell what the future holds in store.
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.
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.
Because small - scale climate features, such as clouds and atmospheric aerosol particles, have a large impact on global climate, it's important to improve the methods used to represent those climate features in the models.
Researchers offered other suggestions for improving cloud representations in global climate models.
Newly developed assessment tools will also be used to improve parameterisations of calcium carbonate production in global biogeochemical climate models (5.2).
Mission The mission of PNNL's Aerosol Climate Initiative is to advance the current scientific understanding and parameterization of aerosol processes and properties to improve comprehensive climate modeling frameworks and to inform policy decisions related to global climate change and the environmental impacts of aeClimate Initiative is to advance the current scientific understanding and parameterization of aerosol processes and properties to improve comprehensive climate modeling frameworks and to inform policy decisions related to global climate change and the environmental impacts of aeclimate modeling frameworks and to inform policy decisions related to global climate change and the environmental impacts of aeclimate change and the environmental impacts of aerosols.
Hagemann, S., 2002: An Improved Land Surface Parameter Dataset for Global and Regional Climate Models.
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.
Find out how researchers are using data from U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility — the world's most comprehensive outdoor laboratory and data archive for research related to atmospheric processes that affect Earth's climate — to improving regional and global climate Climate Research Facility — the world's most comprehensive outdoor laboratory and data archive for research related to atmospheric processes that affect Earth's climate — to improving regional and global climate climate — to improving regional and global climate climate models.
These measures of climate turnover substantially improve model fit, indicating that the occurrence of widespread ephemeral deep lakes is a pulsed system influenced both by regional and global changes.
Wan's Pauling postdoctoral research proposal targets decreasing the uncertainty in climate predictions by improving the way that model components are coupled in global climate models.
The information can be applied, for example, in global climate models to improve the description of aerosols and clouds,» says Researcher Juha Tonttila.
I suspect it will be very important when it comes to improving regional climate models and improving the extrapolation of global effects to the local level.
eg pg xii To improve our predictive capability, we need: • to understand better the various climate - related processes, particularly those associated with clouds, oceans and the carbon cycle • to improve the systematic observation of climate - related variables on a global basis, and further investigate changes which took place in the past • to develop improved models of the Earth's climate system • to increase support for national and international climate research activities, especially in developing countries • to facilitate international exchange of climate data
Thanks to a growing body of scientific evidence and improved computer models that can project climate changes more accurately and in much finer detail, each report has proclaimed with greater and greater certainty that human activity is the main cause of global warming.
Just as a hypothetical example: If climate scientist will tell me that recent pause in global warming is due to the effect of an inactive sun (which is the reality as reported by following) http://www.spaceweather.com and that they will go back and improve their models to account for this, then I would be more inclined to believe their other claims... Instead the IPCC doubles down on their predictions and claim the future effects will be worst than they originally thought?
We also need to improve the systematic observation of climate - related variables on a global basis; to investigate further past changes; to develop improved models of the Earth's climate system; to increase support for national and international climate research activities, especially in developing countries; and to facilitate the international exchange of climate data.
Global warming's crystal ball is clearing as climate models improve, and scientists now predict that some regions will see a month's less rain and snow by 2100.
Climate modelling with improved resolutions has demonstrated the capability to diagnose the probability of occurrence of short - term extreme events under global warming (Meehl et al., 2007).
Cohen received his Ph.D. in Atmospheric Sciences from Columbia University in 1994 and has since focused on conducting numerical experiments with global climate models and advanced statistical techniques to better understand climate variability and to improve climate prediction.
Tracking sea surface temperature over a long period is arguably the most reliable way researchers know of measuring the precise rate at which global temperatures are increasing and improves the accuracy of our climate change models and weather forecasts.
Understanding the mechanisms that control tropical convection is a key to improving climate modeling simulations of the global energy balance.
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.
The results hold implications for land management, improved climate change models, and a better understanding of carbon cycling in soil microbial communities and how changes in global temperatures impact Earth's deserts.
How would an improved understanding and model of clouds affect the global climate model?
President Bush plans to use a Rose Garden speech on global warming policy today to propose several ways to improve the situation, government officials say, including an increase in money for basic climate research and an effort to coordinate American climate - modeling efforts with those abroad.
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.
It's a global model so it doesn't tell us anything about climate equity or the distribution of mitigation efforts, wealth or improved lifestyles.
Improved surface temperature prediction for the coming decade from a global climate model.
D.M. Smith, S. Cusack, A.W. Colman, C.K. Folland, G.R. Harris, J.M. Murphy, «Improved Surface Temperature Prediction for the Coming Decade from a Global Climate Model,» Science, Vol.
Coupled global climate models, such as those that participated in the Paleoclimate Modeling Intercomparison Project (PMIP)(Jansen et al., 2007), in combination with improved paleo - climate records have led to better appreciation of the extent of extreme events that have occurred in the past (e.g., Cook et al., 2010b).
FMI implements method that improves current understanding of air chemistry in boreal forests, which will help to improve predictions of global climate models in the future.
An important objective of PRIMAVERA is to produce new, more robust and trustworthy projections of European climate for the next few decades, based on improved global models and advances in climate process understanding.
The accuracy of the simulations of GST by IPCC would also be improved significantly by introducing the influence of fine dust from the actual atmospheric nuclear explosions into their climate models; thus, global warming behavior could be more accurately predicted
Scientists» understanding of the fundamental processes responsible for global climate change has greatly improved during the last decade, including better representation of carbon, water, and other biogeochemical cycles in climate models.
Combine the new and improved data, measured correlation between the old models and the new data, and improved climate models that, when properly vetted and compared with historical climate reconstructions, and you end up with a very compelling global heating theory that has convinced 620 authors from 42 countries that both the theory and the predictions are accurate.
The development and application of scenarios from high - resolution regional climate models and global atmospheric models (time - slices) since the TAR confirms that improved resolution allows a more realistic representation of the response of climate to fine - scale topographic features (e.g., lakes, mountains, coastlines).
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