Sentences with phrase «leading atmospheric model»

This estimate was compared with results from an ocean model - data synthesis from ECMWF and a leading atmospheric model - data synthesis produced in the US.

To simulate the interplay of global climate with regional pollution conditions, the scientists turned to two of the world's leading atmospheric models, both based at NCAR and developed through broad collaborations with the atmospheric science community.

Not exact matches

But advances in the understanding of atmospheric oxygen levels are challenging that idea, explains Sandra Schachat, a paleoentomologist at Stanford University, who led a recent study that modeled the gas's availability during the hexapod gap.

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.

The computer model, designed by research fellow Iain Couzin, could lead to improved guidance systems for clusters of robots, such as those used to gather oceanographic and atmospheric data.

«Exactly when is model - dependent, but what is clear is that the formation of continental crust naturally leads to two rises in atmospheric oxygen, just as we see in the fossil record,» Lee said.

Morgan O'Neill, the paper's lead author and a former PhD student in MIT's Department of Earth, Atmospheric and Planetary Sciences (EAPS), says the team's model may eventually be used to gauge atmospheric conditions on planets outside the solar system.

Using 19 climate models, a team of researchers led by Professor Minghua Zhang of the School of Marine and Atmospheric Sciences at Stony Brook University, discovered persistent dry and warm biases of simulated climate over the region of the Southern Great Plain in the central U.S. that was caused by poor modeling of atmospheric convective systems — the vertical transport of heat and moisture in the atmosphere.

A Columbia Engineering team led by Pierre Gentine, professor of earth and environmental engineering, and Adam Sobel, professor of applied physics and applied mathematics and of earth and environmental sciences, has developed a new approach, opposite to climate models, to correct climate model inaccuracies using a high - resolution atmospheric model that more precisely resolves clouds and convection (precipitation) and parameterizes the feedback between convection and atmospheric circulation.

The discovery could lead to cleaner fuels, enhanced atmospheric models, and a solution to the enduring mystery of how soot forms.

Scientists use data from the SGP to learn about cloud, aerosol, and atmospheric processes, which in turn leads to improvements in models of the Earth's climate.

For the last five years, he helped to lead the technical development team for the next generation of the atmospheric component of the Community Climate System Model Project, one of the major climate modeling activities in the United States.

In his career - long support of CESM, Rasch was formerly co-chair of the Atmospheric Model Working Group and team lead for the version five development of CESM's atmospheric component, called the Community Atmosphere Model (CAM5).

A greater understanding of the dynamics of chemical reactions is leading to better models of atmospheric chemistry.

In the same paper in which he made his often - quoted «prediction» that doubling the atmospheric concentration of CO 2 would lead to an increase of 10 °C in surface mean temperature, F. Möller makes an almost never quoted disclaimer to the effect that a 1 percent increase in general cloudiness in the same model would completely mask this effect.

The new 17 - author paper (accessible pdf)(lead by Ben Santer), does a much better job of comparing the various trends in atmospheric datasets with the models and is very careful to take account of systematic uncertainties in all aspects of that comparison (unlike Douglass et al).

Climate models suggest that human activities, specifically the emission of atmospheric greenhouse gases, may lead to increases in the frequency of severe storms in certain regions of the Northern Hemisphere.

On global vs. local, how about the global model prediction of a deepening and widening of the tropical atmospheric circulation, which leads to the Hadley cell expansion and the projection of the dry zones expanding polewards.

[Response: At the dawn of coupled modelling, errors that arose in separate developments of ocean and atmospheric models lead to significant inconsistencies between the fluxes that each component needed from the other, and the ones they were getting.

OLR increases in the optically thinner bands would lead to atmospheric warming in general, but this has to be accompanied by OLR decreases somewhere, such as in optically thicker bands (and always in the band where optical thickness was added, assuming positive lapse rates everywhere as is the case in a 1 - dimensional equilibrium model with zero solar heating above the tropopause, or at least not too much solar heating in some distributions), which will tend to cause cooling of upper levels.

Note that he used the past in his sentence «satellite data showed no warming» and then he goes on «The report showed that selective corrections to the atmospheric data could lead to some warming, thus reducing the conflict between observations and models descriptions of what greenhouse warming should look like.»

When ocean models were first coupled to atmospheric models well over a quarter century ago, systematic errors in each component near their interface led to sizeable drift and unrealistic climate simulations.

Contrary to predictions by the world's leading climate models and despite rising levels of atmospheric carbon dioxide, global surface temperatures have been flat for 16 years.

Prempting Cohenite, The facts you point to, increases in atmospheric CO2, despite contradictory temperature numbers, leads to, at least, That our present model of the earth climate is wrong.

Evidence in support of the hypothesis that increasing atmospheric carbon dioxide MUST inevitably lead to an increase in global temperature exists only in the Models.

If a cyclic pattern could be found that is a natural analog for these atmospheric oscillations, and upon investigation be found to out preform the lead time of the models, with as good a resolution as the 5 to 7 day modeled forecast, shouldn't that be at least considered?

To determine the magnitude of European emissions from the lead pollution levels measured in the Greenland ice, the team used state - of - the - art atmospheric transport model simulations.

Mathematical physicist Enting (author of the Australian Mathematical Scences Institute book Twisted: The distorted mathematics of greenhouse denial) worked at Australia's leading science agency, the CSIRO, for 24 years in atmospheric research and modelling of the global carbon cycle.

The institute's early study of the Earth and planetary atmospheres using data collected by satellites, space probes, and space probes eventually led to GISS becoming a leading center of atmospheric modeling and of climate change.

* * * The evidence to support the theory of anthropogenic, or human - caused, climate change has been mounting since the mid-1950s, when atmospheric models predicted that growing levels of CO2 in the atmosphere would add to the natural «greenhouse effect» and lead to warming.

«The authors write that North Pacific Decadal Variability (NPDV) «is a key component in predictability studies of both regional and global climate change,»... they emphasize that given the links between both the PDO and the NPGO with global climate, the accurate characterization and the degree of predictability of these two modes in coupled climate models is an important «open question in climate dynamics» that needs to be addressed... report that model - derived «temporal and spatial statistics of the North Pacific Ocean modes exhibit significant discrepancies from observations in their twentieth - century climate... conclude that «for implications on future climate change, the coupled climate models show no consensus on projected future changes in frequency of either the first or second leading pattern of North Pacific SST anomalies,» and they say that «the lack of a consensus in changes in either mode also affects confidence in projected changes in the overlying atmospheric circulation.»»

Therefore, a model run driven with atmospheric data from 2007, which is started from spring ice conditions in 2008 instead of 2007, leads to an even smaller ice extent.

It is our belief that «theory leads experiment» on climate change because all well - accepted atmospheric models predict a temperature rise.

And that change can be modelled in many ways which each leads to a different forecast of future atmospheric CO2 concentration.

Simulations with this model led Berger and Loutre to conclude that glacial inception is not due for another 50,000 years, as long as the CO2 atmospheric concentration stays above 220 ppmv [8].

«Theoretical models have suggested stratospheres may define a distinct class of ultra-hot planets, with important implications for their atmospheric physics and chemistry,» said Tom Evans, lead author and research fellow at the University of Exeter, United Kingdom.

The USGCRP was established during a period of significant relevant development in Earth system science, and was designed and led from the beginning to support work in atmospheric science, oceanography, biogeochemistry — observing systems, modeling, process studies.

For the atmospheric equations of motion that system is not the hydrostatic equations of motion that all climate models are based on, e.g., vertical columnar heating does not lead to a solution that is smooth (large scale) in space.

However, the latest upgrades to the GFDL hurricane model have led to significant improvements in hurricane intensity forecasts by better representing the atmospheric and oceanic physical processes critical for intensity prediction.

Yet observational and modeling studies have shown that these aerosols have led to large regional changes in surface and atmospheric temperatures, the surface energy budget, and rainfall (Ramanathan et al., 2001a; Chung et al., 2002; Menon et al., 2002b).

However, dry - spell duration and warming trend effects on vegetation productivity may be at least partly offset by rising atmospheric CO2 effects on plants (Bachelet et al., 2001; Thuiller et al., 2006b), leading to sometimes contrasting projections for deserts that are based on different modelling techniques that either incorporate or ignore CO2 - fertilisation effects.