Sentences with phrase «ice model using»

Basically, they have put a prognostic model for melt ponds into the CICE model (the most sophisticated of the sea ice models used in climate models).

Simulations with this atmospheric forcing are presented from seven global ocean - ice models using the CORE - I design (repeating annual cycle of atmospheric forcing for 500 years).

Not exact matches

-- I wasn't joking before... ice makers use a ton of energy and as efficiency technology advances, newer models are big cost savers.

If we use the logically odd phrase «Word of God» to describe the Bible, with «Word» as the model and «of God» as the qualifier, so that we speak of «hearing» God's Word, we mean that if we follow the verbal pattern formed by the words of scripture, we may find ourselves in a situation in which a disclosure occurs; the «light dawns» or the «ice breaks.»

Learn the proper care and use for your CC model Frozen Custard and Italian Ice machine by watching our operational videos.

Look for a model that crushes ice easily, I use my BlendTec and love it.

-- Fly a kite — Make mud pies — Create clay models — Make ice pops using fresh fruit juice — Roll down a hill — Have a scooting race — Embrace the loom bands — Draw on pavements in chalk — Go rock pooling

One group will use the data to improve a climate prediction model by incorporating extreme ice events.

«The widespread loss of Antarctic ice shelves, driven by a warming ocean or warming atmosphere, could spell disaster for our coastlines — and there is sound geological evidence that supports what the models are telling us,» said Robert M. DeConto of the University of Massachusetts Amherst, a co-author of the study and one of the developers of the ice - sheet model used.

This gives confidence in the predictions of the current generation of ice - sheet models which are used to forecast future ice loss from Antarctica and resulting sea - level rise.»

Millan, a UCI graduate student researcher in Earth system science, and his colleagues analyzed 20 major outlet glaciers in southeast Greenland using high - resolution airborne gravity measurements and ice thickness data from NASA's Operation IceBridge mission; bathymetry information from NASA's Oceans Melting Greenland project; and results from the BedMachine version 3 computer model, developed at UCI.

By using theoretical simulations, the researchers were able to model states of superionic ice that would be difficult to study experimentally.

The military uses the microwave information to detect ocean wind speeds to feed into weather models, among other uses, but the data happen to be nearly perfect for sensing sea ice, says Walt Meier, a sea - ice specialist with the NSIDC.

Due to the real «go on ice» researchers receive the unique scientific data, which is then used in construction of mathematical models among them are integral characteristics of the processes (the diameter and depth of explosive lanes, etc.).

«There have been some idealized studies using models, and even some indirect observations off the ice shelves, suggesting that El Niño might significantly affect some of these shelves, but we had no actual ice - shelf observations.

«A clear understanding of energy use and energy storage will help improve models of how bears will respond to future changes in the sea ice.»

Using computer modeling to interpret images from NASA's Galileo satellite, Pappalardo and Barr demonstrated that acnelike markings on Europa's surface are probably bits of ice containing minerals such as chloride salts and sulfuric acid, which lower the melting point so the material can rise from deep below.

The researchers built their computer models using common molecular models for ice / water and methane, arranged as either monocrystalline or polycrystalline grains, and simulated the effect of applying forces to the collection of grains.

On the basis of physical factors, it is claimed that these models can be used to predict when and where the ice may collapse.

Scambos's group predicted the final Larsen B collapse using a model that looks at how much meltwater has pooled on the surface of the ice, and he now hopes to apply the model to bigger Antarctic ice shelves.

Dr James Screen from the University of Exeter used a computer model to investigate how the dramatic retreat of Arctic sea ice influences the European summer climate.

Glaciologists worldwide use these and other maps in modeling the rate of ice loss in Greenland and projecting future losses.

The team used the new scheme in five ice sheet models and forced them with climate warming conditions taken from two different climate models.

«In our study we used satellite data for sea ice and sea surface temperatures to run some coordinated hindcast experiments with five different atmospheric models,» Ogawa says.

A new method that includes the effects of elevation and region was developed using a detailed regional model of the Greenland ice sheet.

The study, published in Journal of Geophysical Research: Planets, uses computer modeling to show that subduction — when a tectonic plate slides underneath another and sinks deep into a planet's interior — is physically possible in Europa's ice shell.

Using mathematical models of the ice shelf, the study's authors show how vibrations in the ice match those seen in the atmosphere, and are likely causing these mysterious atmospheric waves.

In the new study, Godin and his co-author, Nikolay Zabotin, used two theoretical models of the Ross Ice Shelf to show vibrations within the ice could create the atmospheric wavIce Shelf to show vibrations within the ice could create the atmospheric wavice could create the atmospheric waves.

«We can use the models of expanding ice - free areas to help identify sites for protected areas, or pinpoint where we need to increase biosecurity,» Dr Fuller said.

In the study, the researchers use an ice - ocean model created in Bremerhaven to decode the oceanographic and physical processes that could lead to an irreversible inflow of warm water under the ice shelf — a development that has already been observed in the Amundsen Sea.

When the researchers compared their results with the output of a number of climate models, they found that several of the newer models that have higher resolution and use updated ice sheet configurations do «a very good job» of reproducing the patterns observed in the proxy records.

In a new study, reserachers used two theoretical models of the Ross Ice Shelf to show vibrations within the ice could create the atmospheric wavIce Shelf to show vibrations within the ice could create the atmospheric wavice could create the atmospheric waves.

Using the sophisticated UK Met Office climate model, Dr Screen conducted computer experiments to study the effects of Arctic sea - ice loss on the NAO and on Northern European winter temperatures.

The researchers then used a computer model of Earth that simulated growth in the Antarctic ice sheet to see what geophysical impacts this would have aside from generally lowering the sea level.

Bed topography data are vital for computer models used to project future changes to ice sheets and their contribution to sea level rise.

However, the Intergovernmental Panel on Climate Change warned in its latest report that this could be an underestimate, because the computer models used may not be able to predict rapid changes in Antarctica's ice.

The team used a worldwide climate model that incorporated normal month - to - month variations in sea surface temperatures and sea ice coverage, among other climate factors, to simulate 12,000 years» worth of weather.

To project that trend forward, the team then used models recently developed to analyze Antarctic ice sheet collapse, plus large global data sets to tailor specific Atlantic tropical cyclone data and create «synthetic» storms to simulate future weather patterns.

The data that Old Weather volunteer citizen scientists meticulously transcribe from the logbooks are used to drive climate and sea ice models to help understand changes and improve predictions.

Researchers used geologic evidence and ice sheet models to construct a timeline of the Cordilleran's advance and retreat.

The University of Arkansas research team investigated the liquid — liquid phase transition using a simulation model called Water potential from Adaptive Force Matching for Ice and Liquid (WAIL).

«Christine discovered that, relative to the models the community has been using, ice appears to be an order of magnitude more dissipative than people had thought,» Cooper said.

Using climate models at the Laboratoire de Météorologie Dynamique, François Forget (CNRS) and Martin Turbet (UPMC) show that, with a cold climate and an atmosphere denser than it is today, ice accumulated at around latitude 25 ° S, in regions corresponding to the sources of now dry river beds.

«People have been using simple mechanical models to describe the ice,» McCarthy said.

Simulations using a climate model showed that several large, closely spaced eruptions could have cooled the Northern Hemisphere enough to spark sea - ice growth and the subsequent feedback loop.

Kuhn, from Germany's Alfred Wegener Institute, added, «This gives confidence in the predictions of the current generation of ice sheet models which are used to forecast future ice loss from Antarctica and resulting sea - level rise.»

The positions of the sulfate peaks in both northern and southern hemisphere ice cores at the start of the ∼ 1,000 y stadial between Dansgaard - Oeschger events 19 and 20 has been widely used within climate models (9, 14) and archaeological debate (12, 13, 19) to infer that the Toba eruption triggered devastating global cooling.

Using computer models, New Horizons team members have been able to determine the depth of the layer of solid nitrogen ice within Pluto's distinctive «heart» feature — a large plain informally known as Sputnik Planum — and how fast that ice is flowing.

The remote impacts of Arctic sea - ice loss can only be properly represented using models that simulate interactions among the ocean, sea ice, land and atmosphere.

Using this information, they implemented formulas (parameterizations) describing the information gained from the laboratory ice nucleation measurements and implemented this into the global model.