Sentences with phrase «model simulations involving»

Not exact matches

Until now, researchers have only described such pressure - expanding metamaterials in mathematical models or computer simulations, says Joseph Grima, a materials scientist at the University of Malta in Msida not involved in the work.

Until now this type of analysis has been a tedious process that involves comparing actual images of lenses with a large number of computer simulations of mathematical lensing models.

To further test the consequence of mating preference on the evolution of menopause, we modeled the effect of mutations having delayed age of onset, using stochastic, computer simulation of a population with constant size, without pre-existing diminished fertility in females, and involving mutations that affected fertility as well as mortality.

FMI has been involved in research project, which evaluated the simulations of long - range transport of BB aerosol by the Goddard Earth Observing System (GEOS - 5) and four other global aerosol models over the complete South African - Atlantic region using Cloud - Aerosol Lidar with Orthogonal Polarization (CALIOP) observations to find any distinguishing or common model biases.

The CMIP5 modelling exercise involved many more experiments and many more model - years of simulation than previous CMIP projects, and has been referred to as «the moon - shot of climate modelling» by Gerry Meehl, a senior member of the international steering committee, WGCM.....»

Photography, sculpture, things involving models, dioramas, simulations, are really interesting to me.

The CMIP5 modelling exercise involved many more experiments and many more model - years of simulation than previous CMIP projects, and has been referred to as «the moon - shot of climate modelling» by Gerry Meehl, a senior member of the international steering committee, WGCM.....»

This can involve «perfect model» experiments (where you test to see whether you can predict the evolution of a model simulation given only what we know about the real world), or hindcasts (as used by K08), and only where there is demonstrated skill is there any point in making a prediction for the real world.

That typically occurs in ice - sheet model simulations that involve more than about 2 m of sea - level - equivalent mass loss.

Pingback: Huge efficacy of land use forcing in one GISS - E2 - R simulation: is an ocean model error involved?

This process involves statistically linking climate change simulations from climate models with the observed responses in the natural or managed system.

The most popular observationally - constrained method of estimating climate sensitivity involves comparing data whose relation to S is too complex to permit direct estimation, such as temperatures over a spatio - temporal grid, with simulations thereof by a simplified climate model that has adjustable parameters for setting S and other key climate properties.

With my background I ought to be focusing on poor modelling of fluid dynamics and convection, chaotic dynamics and the fudges involved in numerical simulations — like Chris Essex does.

Part of the process involves adjusting model parameters within limits dictated by observations and the principles of physics so as to coax the simulations into good agreement with the real world climate.

Because of the strong correlation between the TLC reflection feedback and ECS in models, these results imply that, remarkably, almost half of the ECS variance across models can be accounted for by simulations that do not involve any perturbation of the atmospheric greenhouse gas concentrations (Fig. 3).

I can discuss (2) a little bit because I've written simulation modelling software and I understand its benefits when some chaos is involved in the system.

a) start off by making a hypothesis concerning the color of crows and how this impacts their habits b) based on the hypothesis, create model scenarios to simulate the color and behavior of crows c) investigate fossil remains of pre-historic Archaeopteryx d) declare that the paleo - avain findings check closely with the model e) validate the model scenarios by comparing them with one another f) declare that the hypothesis has been confirmed by the model simulations g) project that (if unabated by exorbitantly costly measures involving major payments to dictatorships in the developing world) black crows will destroy all other species plus our planet by 2100 h) ensure that «crow disaster scenario» is conveyed to public by a doomsday - hungry» media

This process involves statistically linking climate - change simulations from climate models with the observed responses in the natural or managed system.

The only sane way the is diagnostic (checking if some global conservation laws are not broken by the model, — this can catch bugs and inadequacies of the numerical methods) and extensive validation (this catch inadequacies in modeling, which involves approximation and elimination of some factors, to obtain a tractable model, and is always present even for particle physics simulation, which directly use first principles (model an idealised version of an experiment).

It needs to be global: conservative estimates of the volumes of data to be produced for CMIP5 are that there will be PB produced in the many modelling centres involved in producing conforming simulations....»

Furthermore, the public if they so wish can participate in using their computers for a variety of boinc projects such as the one I am involved with; the model simulations of climate research eg.

The climate feedbacks involved with these changes, which are key in understanding the climate system as a whole, include: + the importance of aerosol absorption on climate + the impact of aerosol deposition which affects biology and, hence, emissions of aerosols and aerosol precursors via organic nitrogen, organic phosphorus and iron fertilization + the importance of land use and land use changes on natural and anthropogenic aerosol sources + the SOA sources and impact on climate, with special attention on the impact human activities have on natural SOA formation In order to quantitatively answer such questions I perform simulations of the past, present and future atmospheres, and make comparisons with measurements and remote sensing data, all of which help understand, evaluate and improve the model's parameterizations and performance, and our understanding of the Earth system.