Sentences with phrase «numerical modeling testing»

«In our opinion, regulators should require industry to undergo this kind of numerical modeling testing prior to drilling to better estimate the potential hazard beforehand,» continues Jeoung Seok Yoon.

Not exact matches

The geologists used numerical models to test the hypothesis that the Mediterranean dried up: they reproduced the history of the charging and discharging of the weight of water and sediment in the Mediterranean as it was drying out.

The image on the left shows the variables Eloy's numerical model used to calculate trees to test his wind - force hypothesis.

Results from numerical modeling with the control algorithms showed a large potential, so the team took the converter to the U.S. Navy's Maneuvering and Sea Keeping facility at the Carderock Division in Bethesda, Maryland, in August to test the new control methods in an ocean - like environment.

They represent a unique type of atmospheric motion whose forcing mechanism is known with great precision, allowing us to test our numerical models and theoretical predictions.

To test their algorithm, Nemenman and Daniels created an artificial, model solar system by generating numerical trajectories of planets and comets that move around a sun.

In 2015, Andrew Ross, meteorology doctoral student, Penn State, noticed an odd pattern emerging while testing a numerical computer model for tidal research.

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.

With Washington State University since 2002, Dolan studies dynamic load on low - rise buildings, dynamic response of light - frame buildings, response of dowel connections dynamic testing of structural assemblies and numerical modeling of structural and material response.

This environment, designated the Virtual Environment for Reactor Applications (VERA), incorporates science - based models, state - of - the - art numerical methods, modern computational science and engineering practices, and uncertainty quantification (UQ) and validation against data from operating pressurized water reactors (PWRs), single - effect experiments, and integral tests.

To test that I varied the data sources, the time periods used, the importance of spatial auto - correlation on the effective numbers of degree of freedom, and most importantly, I looked at how these methodologies stacked up in numerical laboratories (GCM model runs) where I knew the answer already.

To test these hypotheses, we combined long - term incubation studies (> 7 yrs) of permafrost samples with numerical modelling and simulated both oxic and anoxic GHG production from thawing permafrost until 2100.

Success at prediction is enhanced by maximizing the number of different hypotheses (models) you can generate and test against numerical data and other available information.

That requires considerable sensitivity research with state - of - the art numerical weather prediction (and climate) models... This hand - waving theory may not hold up when a rigorous scientific hypothesis is tested, yet McKibben does not provide a citation or reference aside from Masters» quotations, which are not peer - reviewed in the slightest.»

(http://blackjay.net/?p=335)(2) The «Bomb Test Curve» of declining 14C in the atmosphere indicates that CO2 has a half - time in the atmosphere of only 10 years, not the hundreds of years of the Bern Model used in numerical climate models.

This ice sheet melted long time ago, but left behind geological evidence of sub glacial processes that now can be put in numerical models, to test hypotheses of how they may work in modern environment.

In conclusion, the thesis advocates that GCMs be used and developed uncompromisingly for «Hypothesis testing, numerical experiments, to understand how the climate system works, including its sensitivity to altered forcing,» such a policy to continue until climate model building becomes better understood.

These simulations can be used as a numerical laboratory in which we can test the reconstruction methods and assess their potential limitations, by pretending to derive proxy records of the model climate, called «pseudo-proxies».

Climatic changes in past geologic epochs, as inferred from the sedimentary record, provide important insight and understanding for developing, calibrating, and testing numerical climate models that strive to predict future climate change.

Just a quick question — how can hypotheses be «tested» through numerical model experiments?

These include running idealized cases and comparing with an analytical solution, comparing with a very high resolution numerical solution, and testing the integral constraints (e.g. make sure the model isn't losing mass).

Each modelling group runs through a variety tests to assess the fidelity of their numerical solutions.

Tags for this Online Resume: heat / mass transfer, fluid dynamics and magnetic hydrodynamics, phase transition, semiconductors, the optimisation of yield, mathematical models, crystal growth, numerical methods, simulations, data analysis, radiation heat exchange, FORTRAN, C, Two and three dimentional modeling, Evaluation and testing of software products, presentations and trainings, scientific paper writing