Sentences with phrase «many dynamical modeling»

The authors of this work are continuing to develop new applications, with particular emphasis on a future 5D dynamical model that will improve predictive accuracy even further.

But the spheroid is much more concentrated near the centre of the Galaxy, and the dynamical models require much more mass in the spheroid than we can see in the form of stars.

Dynamical models of the interaction between the planet and the belt indicate that the planet's mass is at most three times that of Jupiter; a higher mass would lead to gravitational disruption of the belt, matching predictions of its location.

Bato and her collaborators are among the first to test whether data assimilation, a method used to incorporate new measurements with a dynamical model, can also be applied in volcano studies to make sense of such satellite data.

Meteorologists have long used a similar technique to integrate atmospheric and oceanic measurements with dynamical models, allowing them to forecast the weather.

This year «s Young Scientist Award on human health sciences, presented at the EUROTOX annual meeting in Stockholm, Sweden, has been awarded to Camille Béchaux, Anses France for her poster presentation on: Dynamical modeling of dietary exposure to dioxins and corresponding present and future health risk: A case study in France

This year we received 14 June SIO submissions from dynamical models, of which 3 were from ice - ocean models forced by atmospheric reanalysis or other atmospheric model output and 12 were from fully - coupled general circulation models.

Vallis, G.K., E.P. Gerber, P.J. Kushner, and B.A. Cash, 2004: A mechanism and simple dynamical model of the North Atlantic Oscillation and Annular Modes.

Analysis of the 14 dynamical model contributions shows that the range among the individual outlooks is less than last year and as a whole.

The highest prediction of 6.0 million square kilometers is based on a dynamical model forecast using the US Navy Earth System Model (NESM), whereas the lowest prediction of 3.4 million square kilometers comes from a heuristic contribution.

The advantage of these global, dynamical models is the ability to assess the effects of SPI on both the planet and host star, in a self - consistent way.

Our orbital fits also favor low eccentricities, consistent with predictions from dynamical modeling.

Four years later, another team of astronomers using the 2.5 - meter Isaac Newton Telescope at Roque de los Muchachos Observatory on La Palma (and relying on evidence supplied by their own dynamical models of Sagittarius and on preliminary results from the international Sloan Digital Sky Survey team) announced that they had found an excess of young stars belonging to a stellar system located at 183,000 ly (56,000 pc) from the center of the Milky Way.

The studies of the solar system during the past several decades have proven that the understanding of our own planetary system can leap forward only with the combination of dynamical modeling and physical observations.

We present a simple dynamical model of stock index returns which is grounded on the ability of the Cyclically Adjusted Price Earning (CAPE) valuation ratio devised by Robert Shiller to predict long - horizon performances of the market.

You seem to criticize us for putting observed statistical relations aside and trusting in our dynamical model.

They are trying to trash the use of dynamical models using real physics so that the ad hoc approach described here seems to have equal credibility.

The empirical relationships developed by Cohen and colleagues do a far superior job than current dynamical models in predicting recent wintertime weather.

The authors also reported that the experimental results were reproduced by a dynamical model, based on quantum chemical calculations.

Briefly, a dynamical model is a an attempt to reproduce the mathematics of the physical system as closely as you can.

Dynamical models include the physics as best it can be determined — so their agreement with observations is their validation.

It's a problem I struggle with all the time in modelling, particularly using dynamical models but not restricted to those, and whatever the system being modelled or the discipline within which I'm working or conducting research.

The lag between decreases in sea ice extent during late summer and changes in the mid-latitude atmospheric circulation during other seasons (like autumn and winter, when the recent loss of sea ice is much smaller) have been demonstrated empirically, but have not been captured by existing dynamical models.

The formation of large - scale mills in the southern oceans is an interesting phenomenon in this respect, although presumably oceanic computational fluid dynamical models may not necessarily reveal such complex vortex - type phenomena.

It points to the importance of future dynamical modeling of ice flow.

Sea Ice Outlook predictions from dynamical modeling contributions (blue and green) and from all other methods (grey) for the July Outlook.

«Future projections based on theory and high - resolution dynamical models consistently suggest that greenhouse warming will cause the globally averaged intensity of tropical cyclones to shift towards stronger storms,» Knutson et al. (2010); Grinsted et al. (2013) projected «a twofold to sevenfold increase in the frequency of Katrina magnitude events for a 1 °C rise in global temperature.»

The lower (upper) dashed horizontal line is the lowest (largest) bound when all dynamical modeling contributions are considered.

An example of an attempt to incorporate such complex changes into climate scenarios is the study of McInnes et al. (2000), who developed an empirical / dynamical model that gives return period versus height for tropical cyclone - related storm surges for Cairns on the north Australian coast.

The June, July, and August SIO reports received a total of 106 contributions for pan-Arctic extent predictions (based on multiple methods: statistical, dynamical models, estimates based on trends, and subjective information) along with contributions for Alaska regional extent predictions, descriptive regional contributions, and pan-Antarctic extent predictions — a new SIO feature for 2017.

This mode of intra-annual tropical atmospheric variability is strongly associated with California rainfall events when its active phase shifts eastward, as is currently being suggested by dynamical model forecasts.

• The union of microscopic (atomic level) Hamiltonian dynamical models with macroscopic (system level) thermodynamical models, succeeds extraordinarily well at predicting a vast range of physical phenomena (including heat conductivity, heat capacity, sound velocities, viscosity, thermal expansion, solubility / insolubility, etc..)

Spatial forecasts from both a statistical model submitted by Tivy and a dynamical model submitted by Zhang are discussed in the following section on the Northwest Passage.

This suggested that dynamical models were more confident (individually and as a group) as more information was integrated in the prediction systems.

Abstract The purpose of this review - and - research paper is twofold: (i) to review the role played in climate dynamics by fluid - dynamical models; and (ii) to contribute to the understanding and reduction of the uncertainties in future climate - change projections.

However, future projections based on theory and high - resolution dynamical models consistently indicate that greenhouse warming will cause the globally averaged intensity of tropical cyclones to shift towards stronger storms, with intensity increases of 2 — 11 % by 2100.

Sea Ice Outlook predictions from dynamical modeling contributions are in blue (coupled) and green (ocean - sea ice).

We employ dynamical models for seasonal forecast because they have capability to resolve and predict details from pan-Arctic to local scales in non-stationary and physically consistent manner.

We also received 3 submissions of sea ice probability (SIP) for the August report, two of them from dynamical models (NRL - SSC / Metzger et al. and UK MetOffice / Peterson et al.) and one from a statistical model (Slater).

In summary, dynamical models predict a median September extent of 5.0 million km2 but with a large range in the estimates for the September minimum (3.7 to 5.55 km2).

Nine contributions stemmed from fully - coupled dynamical models, and five from ocean - sea ice models forced by atmospheric reanalyses or atmospheric model output.

Stone, D. A., and M. R. Allen 2005: Attribution of global surface warming without dynamical models, Geophys.

2016 Sea Ice Outlook predictions from dynamical modeling contributions (labeled in blue and green fonts) and from all other methods (labeled in grey).

As in June 2016, the median Outlook is higher for dynamical models than for statistical methods, this month by 0.2 million square kilometers (see Figure 2).

July 2016 Sea Ice Outlook predictions of Sea Ice Probability (SIP) from 5 dynamical models, the mean of the 5, and the standard deviation across the 5 SIP forecasts.

Differences in Sea Ice Probability (SIP) forecasts between the July and June calls for the 4 dynamical models that submitted SIP forecasts in both calls.

As in recent years, the overwhelming majority of submission this month used quantitative methods, of which 17 used statistical methods and 14 used dynamical models.

For the July report, we received 14 June SIO submissions from dynamical models: 5 from ice - ocean models forced by atmospheric reanalysis or other atmospheric model output (in green in Figure 3) and 9 from fully coupled general circulation models (in blue in Figure 3).

Used CFSv2pp dynamical model; Twenty ensemble members are used.

Those concerns ultimately turned out to be unfounded, as earlier this week ocean surface temperatures in the canonical Niño 3.4 region reached 3C above average for the first time in recorded history, validating dynamical model forecasts made many months earlier.