Sentences with phrase «model atmospheric changes»

Not exact matches

The challenge may arise from the models» inability to adequately represent the atmospheric heating associated with changes in cloud populations.

They used this data compilation to evaluate the quality of their regional atmospheric climate model, based on global climate projections that included several scenarios of anticipated climate change.

«Using a numerical climate model we found that sulfate reductions over Europe between 1980 and 2005 could explain a significant fraction of the amplified warming in the Arctic region during that period due to changes in long - range transport, atmospheric winds and ocean currents.

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.

Using sophisticated atmospheric and climate models, the researchers estimated the levels of PM2.5 directly attributable to wildfires during a recent six - year period, 2004 to 2009, as well as under projected future climate change conditions (2046 - 2051).

Gentine and his team are now exploring ways to model how biosphere - atmosphere interactions may change with a shifting climate, as well as learning more about the drivers of photosynthesis, in order to better understand atmospheric variability.

The smaller the squares, the higher the model's resolution and the better it will be at detecting small - scale atmospheric changes that could spawn storms.

Using published data from the circumpolar arctic, their own new field observations of Siberian permafrost and thermokarsts, radiocarbon dating, atmospheric modeling, and spatial analyses, the research team studied how thawing permafrost is affecting climate change and greenhouse gas emissions.

The global climate models assessed by the Intergovernmental Panel on Climate Change (IPCC), which are used to project global and regional climate change, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dynChange (IPCC), which are used to project global and regional climate change, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dynchange, are coarse resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and atmospheric dynamics.

«As a result, some atmospheric circulations systems can not be resolved by these models, and this clearly impacts the accuracy of climate change predictions as shown in our study.»

«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.

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 model also accounted for natural drivers of change, including the direct influence of increased carbon dioxide on ocean - carbon uptake and the indirect effect that a changing climate has on the physical state of the ocean and its relationship to atmospheric carbon dioxide.

Even models that correctly capture cloud behavior may fail to fully account for other climate feedbacks from factors like changing snow and sea ice cover, atmospheric water vapor content, and temperature.

In a study set to come out in Nature tomorrow, an international group of scientists reports that they simulated atmospheric behavior using several different models and used them to forecast anthropogenically driven changes in average annual rainfall at different latitudes from 1925 to 1999.

For the study, Gentine and Lemordant took Earth system models with decoupled surface (vegetation physiology) and atmospheric (radiative) CO2 responses and used a multi-model statistical analysis from CMIP5, the most current set of coordinated climate model experiments set up as an international cooperation project for the International Panel on Climate Change.

They were Jorge Sarmiento, an oceanographer at Princeton University who constructs ocean - circulation models that calculate how much atmospheric carbon dioxide eventually goes into the world's oceans; Eileen Claussen, executive director of the Pew Center for Global Climate Change in Washington, D.C.; and David Keith, a physicist with the University of Calgary in Alberta who designs technological solutions to the global warming problem.

A recent trend in GCMs is to extend them to become Earth system models, that include such things as submodels for atmospheric chemistry or a carbon cycle model to better predict changes in carbon dioxide concentrations resulting from changes in emissions.

Your statement that «Thus it is natural to look at the real world and see whether there is evidence that it behaves in the same way (and it appears to, since model hindcasts of past changes match observations very well)» seems to indicate that you think there will be no changes in ocean circulation or land use trends, nor any subsequent changes in cloud responses thereto or other atmospheric circulation.

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.

Running atmospheric computer models, British researchers found a connection between climate change and turbulence, and they predict that the average strength of turbulence will increase by 10 to 40 % by 2050.

Researchers are working on modeling Mars» atmospheric changes so the astronauts can land within a sufficiently dense portion that still provides enough visibility.

He promoted the use of water stable isotopomers for reconstructing past climate changes from ice cores and with associated atmospheric modelling using both dynamically simple and General Circulation Models (GCMs).

For the hydrological modelling of the Thames river catchment done at CEH we showed that the changes in atmospheric circulation and precipitation caused higher peak 30 - day river flow, while flood risk mapping revealed a small increase in flood risk for properties in the Thames catchment.

In addition, he praised her leadership with the National Center for Atmospheric Research in advancing the Weather Research and Forecasting model for climate research, and in projects such as the North American Regional Climate Change Assessment Program, as demonstration of her prominence in the atmospheric and climate science community.

This information is vital for numerical models, and answers questions about how dynamic ice sheets are, and how responsive they are to changes in atmospheric and oceanic temperatures.

The latest generation of models include interactive particulates and atmospheric chemistry and have those changing through time as well as the greenhouse gases (and solar and volcanoes etc.).

Wood, R.A., A.B. Keen, J.F.B. Mitchell, and J.M. Gregory, 1999: Changing spatial structure of the thermohaline circulation in response to atmospheric CO2 forcing in a climate model.

The data will be especially useful to colleagues such as Lee Murray, an assistant professor of earth and environmental sciences, who builds computer models to predict future changes in atmospheric chemistry.

Gregory, J.M., et al., 2005: A model intercomparison of changes in the Atlantic thermohaline circulation in response to increasing atmospheric CO2 concentration.

Paul O'Gorman, an atmospheric scientist at MIT, has looked at how climate models expect the intensity of extreme snowfalls to change compared to average snowfalls.

This method tries to maximize using pure observations to find the temperature change and the forcing (you might need a model to constrain some of the forcings, but there's a lot of uncertainty about how the surface and atmospheric albedo changed during glacial times... a lot of studies only look at dust and not other aerosols, there is a lot of uncertainty about vegetation change, etc).

A large ensemble of Earth system model simulations, constrained by geological and historical observations of past climate change, demonstrates our self ‐ adjusting mitigation approach for a range of climate stabilization targets ranging from 1.5 to 4.5 °C, and generates AMP scenarios up to year 2300 for surface warming, carbon emissions, atmospheric CO2, global mean sea level, and surface ocean acidification.

Because this climate sensitivity is derived from empirical data on how Earth responded to past changes of boundary conditions, including atmospheric composition, our conclusions about limits on fossil fuel emissions can be regarded as largely independent of climate models.

The PEGASOS project will investigate the impacts of European air pollution on climate change and vice versa by combining field measurements with state of the art atmospheric and climate models.

Insect outbreaks such as this represent an important mechanism by which climate change may undermine the ability of northern forests to take up and store atmospheric carbon, and such impacts should be accounted for in large - scale modelling analyses.

But wouldn't a closer model be the first order ODE, where the difference between absorbed solar power and lost black body power has to equal the change in temperature with respect to time multiplied by the terrestrial and atmospheric combined heat capacity:

Most past modeling experiments that investigated the atmospheric response to Arctic change only considered the loss of sea ice, which of course misses much of the effect of Arctic amplification.

The atmospheric components of climate models were never really designed for the study of TCs, but the fact that they can produce features with TC - like character when run at sufficiently high resolutions, gives us increased confidence in the possibility that climate models can be used to analyze climate change impacts on TCs.

Hermann Harde (2014)[PDF] «Advanced Two - Layer Climate Model for the Assessment of Global Warming by CO2» OPEN JOURNAL OF ATMOSPHERIC AND CLIMATE CHANGE, Volume1, Number3.

The lag between decreases in sea ice extent during late summer and changes in the mid-latitude atmospheric circulation during other seasons (like autumn and winter, when the recent loss of sea ice is much smaller) have been demonstrated empirically, but have not been captured by existing dynamical models.

Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measurements).

Quote: Retired senior NASA atmospheric scientist, Dr. John S. Theon, 15th Jan 2009,» My own belief concerning anthropogenic climate change is that the models do not realistically simulate the climate system because there are many very important sub-grid scale processes that the models either replicate poorly or completely omit.

Here's my uneducated question — while I respect Gavin's comments about not abusing the science, it seems to me that many measurable indicators of climate change are (to the extent I can tell) occurring / progressing / worsening faster than predicted by most models, whether we're talking about atmospheric CO2 levels, arctic ice melting, glacial retreat, etc..

Since carbon cycle models allow us to understand past changes in atmospheric CO2 and 13C concentrations it is also possible to use these models to infer the 14C production rate based on measured 14C concentrations in tree rings.

Claquin et al's model - derived findings show a change in tropical atmospheric forcing of «-- 2.2 to — 3.2 W m — 2» between PI and LGM earth, due to the increased albedo of atmospheric dust.

The approximately 20 - year lag (between atmospheric CO2 concentration change and reaching equilibrium temperature) is an emerging property (just like sensitivity) of the global climate system in the GCM models used in the paper I linked to above, if I understood it correctly.

In models at least, this kind of response would be most directly related to increases in stratification due to surface warming, as I understand it, and not directly to the kind of change in atmospheric circulation discussed in Dian's paper.

Your statement that «Thus it is natural to look at the real world and see whether there is evidence that it behaves in the same way (and it appears to, since model hindcasts of past changes match observations very well)» seems to indicate that you think there will be no changes in ocean circulation or land use trends, nor any subsequent changes in cloud responses thereto or other atmospheric circulation.

Dynamic climate models (CGCMs) are typically run with prescribed atmospheric composition ot prescribed changes in atmospheric composition, commonly called «scenarios».