Sentences with phrase «with dynamical models»

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

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.

This is virtually impossible with a dynamical model.

In general, the heuristic approaches forecast a mean September extent around 4.1 million km2, whereas the statistical and dynamical modeling approaches both suggest mean September extent near 5.1 million km2, with the dynamical modeling contributions showing a narrower range.

Not exact matches

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.

LIGO's first detection of merging black holes is perfectly consistent with the dynamical formation model from the Northwestern research team and is what you would expect from a globular cluster, the researchers say.

EMSL offers — at one location — a comprehensive array of cutting - edge resources including those associated with synthesis, characterization, theory and modeling, dynamical properties and environmental testing relevant to a wide range of environmentally related issues and topics at the molecular level.

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

New Hybrid quantum mechanics / molecular mechanics (QM / MM) software must be capable of transparently combining accurate, scalable electronic structure methods with multilayer models, inclusion of environmental effects, and efficient dynamical sampling methods.

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.

Another model of the (price) technical behaviour is that the prices are a result of a very complex «chaotic» dynamical system (the behaviour of all those that trade), where the «strange attractors» are not fixed, (i.e the phase space changes with expectations).

There may be reason to strongly suspect that in any sufficiently complicated dynamical system model (such as climate) with stochastic parameters (e.g., exactly when and where a lightning strike starts a major wildfire or a major submarine earthquake perturbs ocean circulation in a region or a major volcanic eruption introduces stratospheric aerosols), it is almost certain that any given run of the model will have periods of significant deviation from the mean of multiple runs.

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.

In sensitivity experiments the influence of removed orography of Greenland on the Arctic flow patterns and cyclone tracks during winter have been determined using a global coupled model and a dynamical downscaling with the regional atmospheric model HIRHAM.

This claim is complemented with a broad literature synthesis of past work in numerical weather prediction, observations, dynamical theory, and modeling in the central U.S. Importantly, the discussion also distills some notoriously confusing aspects of the super-parameterization approach into clear language and diagrams, which are a constructive contribution to the literature.

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.

Egorova, T., E. Rozanov, E. Manzini, M. Haberreiter, W. Schmutz, V. Zubov, and T. Peter, 2004: Chemical and dynamical response to the 11 - year variability of the solar irradiance simulated with a chemistry - climate model, Geophys.

Dynamical physical oceanography focuses primarily upon the processes that govern the motion of fluids with emphasis upon theoretical research and numerical models.

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.

These results are obtained from 16 global general circulation models downscaled with different combinations of dynamical methods... http://dx.doi.org/10.1175/JCLI-D-12-00766.1

• 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..)

Or as a good friend of mine says, whom I shall not name here, but who is preeminent in the field of dynamical systems and was a solid contributor to the practice of modelling climate on computers, «the trouble with the IPCC models is that they treat the climate system as if it were a brick.»

Also the behaviour of our numerical simulations of the atmosphere would continue to be affected by the problems typical of model simulations of chaotic dynamical systems even if we could have perfect initial conditions, write perfectly accurate evolution equations and solve them with perfect numerical schemes, just because of the limited number of significant digits used by any computer (Lorenz, 1963).

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.

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).

The department carries out research in both dynamical and physical meteorology with a broad range of topics covering field work, lab work, theoretical and numerical modelling and has about eight or nine NERC studentships available each year.

«Our climate simulations, using a simplified three - dimensional climate model to solve the fundamental equations for conservation of water, atmospheric mass, energy, momentum and the ideal gas law, but stripped to basic radiative, convective and dynamical processes, finds upturns in climate sensitivity at the same forcings as found with a more complex global climate model»

Several models are created (in fact not a few of the dynamical El Nino models have GHG influences calculated in), each with its own set of «how climate works» mathematical scenarios, which are then compared to the statistical models.

The focus was on the evaluation of climate events that are not observed but are possible in theory, together with studying future climate and climate model results through statistical and dynamical methods.

I sent Judith Curry (your coauthor) a link to my discussion about the climate models using the wrong dynamical equations with no response.

Our approach has been to develop two models with different ocean dynamical / physical cores while keeping all other components the same in order to test the sensitivity of our results to our assumptions inherent in our ocean configuration.

Wang et al. (2012b) force the dynamical core of an atmospheric general circulation model with warming in the tropical troposphere that mimics the effects of climate change there.

Our climate simulations, using a simplified three - dimensional climate model to solve the fundamental equations for conservation of water, atmospheric mass, energy, momentum and the ideal gas law, but stripped to basic radiative, convective and dynamical processes, finds upturns in climate sensitivity at the same forcings as found with a more complex global climate model [66].

Now the models are deterministic complex dynamical systems with whose plausibility rests on 2 grounds.

The dynamical method uses the output of regional climate models, global models with variable spatial resolution or high - resolution global models.

Separating out fully - coupled dynamical models from ice - ocean models shows that fully coupled models give a slightly lower forecast with a median of 4.57 versus 4.62, yet have a larger spread (Figure 2).

GFDL researchers have developed a regional dynamical downscaling model for Atlantic hurricanes and tested it by comparing with observed hurricane activity since 1980.

Further, the absence of an increase in moderate duration tropical storm counts is consistent with expectations from high - resolution dynamical models of a modest (and possibly negative) sensitivity of North Atlantic tropical storm counts to increasing greenhouse gases (e.g., see Bengtsson et al 2007, Knutson et al 2008, FAQ on Knutson et al 2008, Zhao et al 2009, Emanuel et al 2008)

Are you conceding that there are problems with the dynamical core, but that those problems are small relative to other problems with the models?

After looking at the various elements of the climate models, they judged that there was little to do with the dynamical core of the atmospheric model (that it was quite mature and performing quite well), although there were issues with the parameterizations of convection and the atmospheric boundary layer.

The bottom line is that I think the U.S. climate models that are been run at resolution 250 km or higher almost certainly have robust dynamical solutions (the real problems are with things like the convective parameterization).

(vs. Reynolds average like) and b) what magnitude of turbulent diffusivities are introduced in the dynamical core region of the model, and how do those compare with estimates for kinematic based on scalings like u» * l', where u» gives a scale of the turbulent fluctuations and l' is some sort of integral scale.

Currently, there are several EMICs in operation such as: two - dimensional, zonally averaged ocean models coupled to a simple atmospheric module (e.g., Stocker et al., 1992; Marchal et al., 1998) or geostrophic two - dimensional (e.g., Gallee et al., 1991) or statistical - dynamical (e.g., Petoukhov et al., 2000) atmospheric modules; three - dimensional models with a statistical - dynamical atmospheric and oceanic modules (Petoukhov et al., 1998; Handorf et al., 1999); reduced - form comprehensive models (e.g., Opsteegh et al., 1998) and those that involve an energy - moisture balance model coupled to an OGCM and a sea - ice model (e.g., Fanning and Weaver, 1996).

Please keep unrelated questions on other issues (such as forced atmospheric models or full climate models) off of this thread so that this manuscript can be used to illuminate the serious and unresolvable problems with numerical approximations of the unforced dynamical systems.