Sentences with phrase «global wave model»

For each delta, the team used a global wave model developed by the National Oceanic and Atmospheric Administration to determine the height, frequency, and direction of each incoming wave.
The team observed high - energy electrons during a geomagnetic storm of Oct. 9, 2012, which they analyzed together with a data - driven global wave model.

Not exact matches

The digitization of the global economy is resulting in a tidal wave of new business and operating models throughout the world.
These models might be able to peer up to 50 years ahead and «show regional events, like a heat wave in India, rather than just global trends, like higher temperatures,» says Kate Evans, a scientist at the lab.
Using a global climate model, a team led by Princeton University researchers measured how severely heat waves interact with urban heat islands, now and in the future, in 50 American cities across three climate zones.
With a global seismic tomography model that makes use of seismic waves to map the internal structure of the Earth's mantle, Schellart and Spakman were able to identify the fossil slab structure below central and south - eastern Australia at a location and depth predicted by the reconstructions.
Because these waves are involved in ocean mixing and thus the transfer of heat, understanding them is crucial to global climate modeling, says Tom Peacock, a researcher at the Massachusetts Institute of Technology.
The major carbon producers data can be applied to climate models to derive the carbon input's effect on climate change impacts including global average temperature, sea level rise, and extreme events such as heat waves.
There are a wide range of possible projects, from flux emergence, active region evolution, coronal heating, magentic reconnection, MHD waves through to global field modelling.
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The work is an estimate of the global average based on a single - column, time - average model of the atmosphere and surface (with some approximations — e.g. the surface is not truly a perfect blackbody in the LW (long - wave) portion of the spectrum (the wavelengths dominated by terrestrial / atmospheric emission, as opposed to SW radiation, dominated by solar radiation), but it can give you a pretty good idea of things (fig 1 shows a spectrum of radiation to space); there is also some comparison to actual measurements.
Matthew, it's (+ / --RRB- 4 W / m ^ 2 and is the average annual global long - wave cloud forcing error made by CMIP5 climate models.
Pat Frank: Matthew, it's (+ / --RRB- 4 W / m ^ 2 and is the average annual global long - wave cloud forcing error made by CMIP5 climate models.
Here's an illustration: the Figure below shows what happens when the average ± 4 Wm - 2 long - wave cloud forcing error of CMIP5 climate models [1], is propagated through a couple of Community Climate System Model 4 (CCSM4) global air temperature projections.
Air pressure changes, allergies increase, Alps melting, anxiety, aggressive polar bears, algal blooms, Asthma, avalanches, billions of deaths, blackbirds stop singing, blizzards, blue mussels return, boredom, budget increases, building season extension, bushfires, business opportunities, business risks, butterflies move north, cannibalistic polar bears, cardiac arrest, Cholera, civil unrest, cloud increase, cloud stripping, methane emissions from plants, cold spells (Australia), computer models, conferences, coral bleaching, coral reefs grow, coral reefs shrink, cold spells, crumbling roads, buildings and sewage systems, damages equivalent to $ 200 billion, Dengue hemorrhagic fever, dermatitis, desert advance, desert life threatened, desert retreat, destruction of the environment, diarrhoea, disappearance of coastal cities, disaster for wine industry (US), Dolomites collapse, drought, drowning people, drowning polar bears, ducks and geese decline, dust bowl in the corn belt, early spring, earlier pollen season, earthquakes, Earth light dimming, Earth slowing down, Earth spinning out of control, Earth wobbling, El Nià ± o intensification, erosion, emerging infections, encephalitis,, Everest shrinking, evolution accelerating, expansion of university climate groups, extinctions (ladybirds, pandas, pikas, polar bears, gorillas, whales, frogs, toads, turtles, orang - utan, elephants, tigers, plants, salmon, trout, wild flowers, woodlice, penguins, a million species, half of all animal and plant species), experts muzzled, extreme changes to California, famine, farmers go under, figurehead sacked, fish catches drop, fish catches rise, fish stocks decline, five million illnesses, floods, Florida economic decline, food poisoning, footpath erosion, forest decline, forest expansion, frosts, fungi invasion, Garden of Eden wilts, glacial retreat, glacial growth, global cooling, glowing clouds, Gore omnipresence, Great Lakes drop, greening of the North, Gulf Stream failure, Hantavirus pulmonary syndrome, harvest increase, harvest shrinkage, hay fever epidemic, heat waves, hibernation ends too soon, hibernation ends too late, human fertility reduced, human health improvement, hurricanes, hydropower problems, hyperthermia deaths, ice sheet growth, ice sheet shrinkage, inclement weather, Inuit displacement, insurance premium rises, invasion of midges, islands sinking, itchier poison ivy, jellyfish explosion, Kew Gardens taxed, krill decline, landslides, landslides of ice at 140 mph, lawsuits increase, lawyers» income increased (surprise surprise!)
I merely propagate the global annual average long - wave cloud forcing error made by CMIP5 climate models, in annual steps through a projection.
In the case of limited area forecast models, the boundary conditions generated by a global forecast model that does not allow mesoscale storms and large scale gravity waves, the inflow boundary condition information needed to accurately depict mesoscale storm mechanisms in the limited area is inaccurate.
Conclusion If we follow George Box's scientific advice, then a logical, unifying, next step for «stadium wave» models is to collaborate with computational / mechanistic global climate models to answer this simple question: By appropriate adjustment of parameters, can mechanistic climate models exhibit stadium waves?
Type 2 results, even from global models used in a prediction mode, still retain real world information in the atmosphere (such as from long wave jet stream patterns), as well as sea surface temperatures, deep soil moisture, and other climate variables that have long term persistence.
Hansen's study — based on statistics, not the more typical climate modeling — blames these three heat waves purely on global warming:
We are helping you to understand that there are other plausible explanations for global warming, and the assumption that it is due to CO2 is based only on opinionated papers hand - waved through the peer review process by friendly referees [while skeptical papers rarely see the light of day], and by computer model outputs, which are invariably unable to predict the future climate, or even today's climate with all available past data as the input.
The major carbon producers data can be applied to climate models to derive the carbon input's effect on climate change impacts including global average temperature, sea level rise, and extreme events such as heat waves.
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My idea is to take a simple sinusoidal model of a beat wave composed of 9 and 20 year cycles (the two main frequencies in the instrumental record of global temperature) and subject them to disturbances with a random variable having a standard deviation comparable to the standard deviation of monthly changes in the rate of change in global temperature.
By using an idealized heating to force a comprehensive atmospheric model, the large negative anomalous latent heating associated with the observed deficit in central tropical Pacific rainfall is shown to be mainly responsible for the global quasi-stationary waves in the upper troposphere.
The dots mark the year when models projected global warming would become the primary contributor to more than half the region's heat waves.
They also ran atmospheric models that used observed global sea surface temperatures, Arctic sea ice conditions and atmospheric carbon dioxide concentrations in 2010 to assess whether such factors might have contributed to the heat wave.
The graph shows the fraction of heat waves for which models projected global warming would be the primary contributor.
Submarine canyons comprise approximately ten percent of global continental slopes, and can enhance the local dissipation of internal wave energy, yet parameterizations of canyon mixing processes are currently missing from large - scale ocean models.
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