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 ae
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 ae
climate modeling frameworks and to inform policy decisions related to
global climate change and the environmental impacts of ae
climate 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).