Sentences with phrase «modelled wave data»

Not exact matches

When Goldman fed this torrent of data into a computer model, he discovered that the main mechanism underlying sand swimming was a wave that passed from head to tail, pushing off from the sand and generating enough thrust to propel the lizard forward.

French used numerical simulations to compute all components of the seismic waves, such as their scattering and diffraction, and tweaked the model repeatedly to fit recorded data using a method similar to statistical regression.

Using weather and sea data from the time of the sinking, along with a new theoretical model, a Georgia Institute of Technology researcher has calculated that there was as much as a one - in - 130 chance — over a period of time and area — that a rogue wave 46 feet high (14 meters) could have occurred during the hurricane.

They put the satellite data into their model that tests the wave - particle interaction theory, and the results suggest the wave scattering was the cause of the particle fallout.

The researchers developed a novel approach to the issue by using climate data from the IPCC and directly modeling all of the components that cause flooding at the coast including, waves, tides, winds blowing over the surface of the ocean and estuaries, precipitation, and stream flow.

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.

The model predicting waves tries to explain data from the moon obtained so far by NASA's Cassini spacecraft.

The model also generated acoustic data; an interesting revelation of the simulation was that tsunamigenic surface - breaking ruptures, like the 2011 earthquake, produce higher amplitude ocean acoustic waves than those that do not.

Using data from both models, Nienhuis determined the ratio of river - to - ocean wave strength for each delta, and found that those deltas with a ratio greater than or equal to 1 were more likely to have multiple river channels, with deltas that project out from the shoreline.

Because the computer model uses an overwhelming amount of physical, chemical and biological data, the supercomputer simulation allows scientists to analyze brain waves at a level of detail simply unattainable with traditional monitoring of live brain tissue.

They are collecting data from their numerical modeling and experimental research to benefit wave energy technology with improved methodologies, strategic control systems design and testing practices for wave energy converters.

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.

The project may involve the following topics: — Interaction of the solar wind with magnetised and unmagnetised planets — Space weather forecasts — Numerical (HPC) and analytical modelling of MHD wave processes and jets in solar and astrophysical plasma — MHD wave observations and solar magneto - seismology — Application of advanced data analysis to solar system science — Physics of collisionless shocks (including planetary and interplanetary shocks)-- Analysis of multi-point measurements made by space missions, e.g Cluster (ESA), THEMIS (NASA), MMS (NASA)

The ongoing heat wave dominating a large swath of Europe is being exacerbated by climate change, according to a new analysis by a team of international scientists using both observational data and climate models.

As someone who spent a lot of time evaluating the first wave of community school models here in Chicago, I am excited to see the progress in conceptualizing the workings and impacts of community schools in ways that articulate to the broader conversation about data - informed school improvement.

Actually, the case for a tropical thermostat was pretty well established about seven years ago when data showed that the outgoing long wave radiation during the 90's was much larger than models said it should have been.

The ongoing heat wave dominating a large swath of Europe is being exacerbated by climate change, according to a new analysis by a team of international scientists using both observational data and climate models.

Using short, noisy records, with flawed and adjusted data, it is possible to run broken climate models and show «definitively» that current heat - waves and hottest years are due to man - made emissions.

Observational data, evidence from field experiments, and quantitative modeling are the evidence base of the negative effects of extreme weather events on crop yield: early spring heat waves followed by normal frost events have been shown to decimate Midwest fruit crops; heat waves during flowering, pollination, and grain filling have been shown to significantly reduce corn and wheat yields; more variable and intense spring rainfall has delayed spring planting in some years and can be expected to increase erosion and runoff; and floods have led to crop losses.4, 5,6,7

More generally, we are using multiple sensor & associated data sets (low frequency microwave radiometers, ocean color, sea surface temperature, wind, wave, altimeter products, model and in situ data..)

I say fraudulent because of the many false and misleading statements throughout, eg Gloor politely suggests «that you do indeed modify your language or back up your fraud claim with data and / or modelling other than the hand waving you are engaging in here.»

Using buoy data and models based on wind patterns, scientists say that the waves off the coast of the Pacific Northwest and along the Atlantic seaboard from West Palm Beach, Fla., to Cape Hatteras, N.C., are steadily increasing in size.

«The averages aren't very exciting,» said Peter Adams, an assistant professor in the University of Florida's Department of Geological Sciences who used wind data from the past 20 to 30 years to develop a wave height model.

Before being assimilated operationaly in forecasting models, the ENVISAT / ASAR wave data have to be fully calibrat...

Potential mechanisms underlying the stadium - wave and related interdecadal variability are topics of active and controversial research, reliant upon technological leaps in data retrieval and computer modeling to advance them toward consensus.»

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.

I fed the Pacific Ocean data into the second worksheet in my climate model and it predicts that «monster kelvin wave» will turn out to be a bit below average and by July 2014 it will have dissipated.

Now the marine heat wave group is working on using climate models to use their data to predict how this trend will develop during the rest of this century.

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.

According to a press release: «Lopez and colleagues used climate models along with historical climate data to project future heat wave patterns.

His work explores observed trends in heat waves and determining the natural and human components of observed regional climate change in Australia, using both observed and climate model data.

And, as a result, free data is proving itself as a business model for users» early stage experimentation and adoption of augmented reality, virtual reality and other cutting - edge technologies that represent the Internet's next wave — but that also use vast amounts of data.

In the report, before - and after - marriage data from an average of nine waves and multilevel modeling were used to prospectively estimate how premarital characteristics are related to marital quality.

In an analysis based on a fixed - effects pooled time - series model with multiple - wave panel data, we find declines in marital happiness at all marital durations and no support for an upturn in marital happiness in the later years.

Four waves of data in the Korea Youth Panel Survey (KYPS) were used to analyze the linear growth modeling.

To examine this research model, we made use of the first and third wave data from Korea Children and Youth Panel Survey.

A latent state - trait autoregressive modeling was used to analyze five annual waves of data from 3,449 adolescents taken from the Korean Youth Panel Study.

The analysis was performed with random effects logistic models that accounted for the two - wave panel structure of the data.