Sentences with phrase «time scale simulations»

We developed the Internal Coordinate Molecular Dynamics (ICMD) algorithms in the early 1990s to enable larger simulation time - steps and they show great promise in long time scale simulations.

Not exact matches

Because the neutron decays on a time scale similar to the period for BBN, accurate simulations of the BBN era require thorough knowledge of the neutron lifetime, the average time required for a neutron to decay, but this value is still not precisely known.

(2) A complete numerical simulation of the motions taking place in the outer core would make it necessary to cover a wide range of scales with a very small time step, which is out of reach with current capabilities.

This approach complements traditional forecast simulations, which are very accurate for a short period of time but lose their reliability on timescales that are required to understand the fate of the spill on the scale from days to weeks.»

During its largest runs, the biomass simulation scaled to nearly 4,000 of Titan's 18,666 nodes, producing roughly 45 nanoseconds of simulation time in one day.

Molecular dynamics (MD) simulations are widely used to study protein motions at an atomic level of detail, but they have been limited to time scales shorter than those of many biologically critical conformational changes.

Large - scale simulations of galaxies suggest that the halo formed at the same time as the rest of Andromeda.

For the first time, these numerous characteristics make it possible to compare a cosmological simulation in detail with large - scale astronomical surveys.

The mechanisms resulting in the cyclical nature of the achieved dynamo action within these simulations and their relevant time - scales are shown, along with an analysis of the conditions preceding and following the protracted minima in magnetic energy.

As a NIH - NIGMS project and in collaboration with Dr. Abhi Jain at the NASA Jet Propulsion Laboratory at Caltech, we are developing the ICMD methods called Generalized Newton - Euler Inverse Mass Operator (GNEIMO) to enable long time scale and wider conformational search simulations.

Gaming and simulation development skills will continue to gain influence and acceptance in the learning world; however, this will remain a niche area until cost / quality / time requirements scale down for it.

The time average makes sense only if you are sure to have caught all variability time - scale in the average (i.e., that they are all smaller than 30 years, say)-- I've never seen clearly where this assumption comes from, apart from computer simulations, which are NOT reliable for this kind of physics.

Less certain is the time scale, with the onset of rapid (> 1 mm per year of sea - level rise) collapse in the different simulations within the range of 200 to 900 years.

Any atmosphere / ocean coupled model worth its salt should have phenomena similar to these as emergent from simulations (that is with extent and time scales similar to the real thing).

They gather the control simulations from 14 models together into one pot and decompose the variability into patterns, isolating that pattern whose time series has the largest integral time scale (or decorrelation time).

For example, deficiencies remain in the simulation of tropical precipitation, the El Niño - Southern Oscillation and the Madden - Julian Oscillation (an observed variation in tropical winds and rainfall with a time scale of 30 to 90 days).

Testing the hypotheses must be accomplished by using «hindcast» simulations that attempt to reproduce past climate behavior over multidecadal time scales.

Since the focus is on Late Holocene time scale, the synthetic sea level fields will be created using a millennial simulation with the Earth System model MPI ‐ ESM ‐ P AOGCM.

Roger could reply again by stating that models that don't show skill in projecting changing statistics can not be used for this reasoning by simulation, but I remain to disgree with him: the skill of climate models to project changing climate statistics at decadal time scales can formally not be established due to large role of natural variability, but is also not always required for generating useful information that enters the imagination process.

Interpretation of climate model simulations has emphasized the existence of plateaus or hiatus in the warming for time scales of up to 15 - 17 years; longer periods have not been previously anticipated, and the IPCC AR4 clearly expected a warming of 0.2 C per decade for the early part of the 21st century.

A unified treatment of weather and climate models (i.e. the same dynamical cores for the atmosphere and ocean are used for models across the range of time scales) transfers confidence from the weather and seasonal climate forecast models to the climate models used in century scale simulations.

Within the confines of our work with RASM and CESM, we will: (i) quantify the added value of using regional models for downscaling arctic simulations from global models, (ii) address the impacts of high resolution, improved process representations and coupling between model components on predictions at seasonal to decadal time scales, (iii) identify the most important processes essential for inclusion in future high resolution GC / ESMs, e.g. ACME, using CESM as a test bed, and (iv) better quantify the relationship between skill and uncertainty in the Arctic Region for high fidelity models.

Analyses of tide gauge and altimetry data by Vinogradov and Ponte (2011), which indicated the presence of considerably small spatial scale variability in annual mean sea level over many coastal regions, are an important factor for understanding the uncertainties in regional sea - level simulations and projections at sub-decadal time scales in coarse - resolution climate models that are also discussed in Chapter 13.

Palaeological evidence and simulation modelling show North Atlantic plankton biomass declining by 50 % over a long time - scale during periods of reduced Meridional Overturning Circulation (Schmittner, 2005).

This external control is demonstrated by ensembles of model simulations with identical forcings (whether anthropogenic or natural) whose members exhibit very similar simulations of global mean temperature on multi-decadal time scales (e.g., Stott et al., 2000; Broccoli et al., 2003; Meehl et al., 2004).

(3) Natural as well as human - induced changes should be taken into account in climate model simulations of atmospheric temperature variability on the decade - to - decade time scale.

The interannual variability in the individual simulations that is evident in Figure 9.5 suggests that current models generally simulate large - scale natural internal variability quite well, and also capture the cooling associated with volcanic eruptions on shorter time scales.

The weather prediction model used in this research is advantageous because it assesses details about future climate at a smaller geographic scale than global models, providing reliable simulations not only on the amounts of summer precipitation, but also on its frequency and timing.

The research involves integrating information from materials and solar - module datasets measured at multiple length and time scales, including data from quantum simulations and real - world solar module performance.

• Attention to the simulation of «weather» by climate models, thus accounting simultaneously for the verification of the so - called «fast» and «slow» time - scale processes.

It features components for the atmosphere, ocean, ocean sediment, land biosphere, and lithosphere and has been designed for global climate change simulations on time scales from years to millions of years.

Science Deliverable II In - depth NASA - style computational simulations that affirm ergodic climate dynamics on decadal time - scales.

Climate model simulations indicate that changes in solar radiation a few times larger than those confirmed in the eleven - year cycle, and persisting over multi-decadal time scales, would directly affect the surface temperature.

You probably also noticed that for the simulated AR (1) process, the estimated time scale is consistently less than the true value (which for the simulations, is known to be exactly 5 years, or 60 months), and that the estimate decreases as lag increases.

In fact, both simulations and theoretical calculations demonstrate that for 125 years of a genuine AR (1) process, if the time scale were 30 years (not an unrealistic value for global climate), we would expect the estimate from autocorrelation values to be less than half the true value.

We ran 5 simulations of an AR (1) process with a 5 - year time scale, generating monthly data for 125 years, then estimated the time scale using Schwartz's method.

The radative forcing (left) and global mean temperature response (right) using a simple GCM emulator, for the historical CO2 forcing (red) and for the linearly increasing forcing consistent with the simulations used to define the transient climate response (blue), for 3 different ramp - up time scales, the 70 year time scale (solid blue) corresponding to the standard definition.

The quality of agreement between model simulations with 20th century forcing and observations supports the likelihood that models are adequately simulating the magnitude of natural internal variability on decadal to century time scales.

Evaluating on climate change time scales can't effectively be done because we only have crude climate model simulations from the 1980's and the more sophisticated coupled models really came in the mid 1990's.