Sentences with phrase «dynamical cores of»

Dynamics Research develops and maintains the dynamical core of the Met Office's Unified Model and undertakes research on numerical techniques for use in future cores.

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.

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.

Not exact matches

Moreover, it may lead to strong asymmetries of the stellar explosion, in course of which the newly formed neutron star will receive a large kick and spin,» describes team member Bernhard Müller the most significant consequences of such dynamical processes in the supernova core.

Wang, B., et al., 2004: Design of a new dynamical core for global atmospheric models based on some efficient numerical methods.

Subtle dynamical motions measured by Earth - based radar, the observed parameters of its gravity field, and observations of the magnetic field indicate that Mercury's core is at least partially liquid with an active core dynamo.

The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ● Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model development

Climate modelers that work on the dynamical core obvious know about these issues, but this is a small fraction of the people that actually use climate model results.

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.

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.

This will require the refactoring of existing dynamical cores, or the development of new ones.

As the dynamical response to volcanics, is similar to the solar cycle eg Ruzmaiken 2004 (effects on the NAM) the models have significant issues, which as most probably due to the primitive behavior of the dynamic core.

Multi-decadal regime shift — chaotic — unpredictable — involving abrupt shifts in ocean and atmospheric circulation — show the dynamical mechanism at the core of climate on a global scale.

The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3.

The general modelling techniques used in the atmospheric dynamical core, and the treatment of unresolved degrees of freedom are fairly standard as a general approach across many different applications of fluid dynamics.

If numerical methods can not accurately compute the solution of the basic dynamical system (so called dynamical cores) either because of ill posedness, fast exponential growth, or inadequate resolution to properly resolve the rapid nonlinear cascade of the vertical component of vorticity (requires unphysically large dissipation to overcome), then adding necessarily unphysical parameterizations to overcome these deficiencies can not lead to a correct physical solution as the resolution is reduced.

The reason I ask these questions is that I am convinced that there is a fundamental limit to the predictability of the dynamical «core» equations (continuity, momentum, energy) due to the ** nonlinearity ** of the system.

The resolution issue is more complicated than the dynamical core issue, largely because of clouds (finer resolution buys you much better clouds).

Note that a dynamical core is not suppose to use any form of dissipation (explicit or implicit), but clearly they are present in one (or more) forms in the dynamical cores for reasons that will be discussed in detail.

The issues can be understood from the simple equations I gave and an appropriate discussion of the gimmicks that are used in the dynamical core manuscript on this thread.

(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.

For those that do not know my background, before I obtained my advanced degree, I coded a fourth order accurate hydrostatic dynamical core in a week (including out of memory buffering).

But the mathematical analysis of the frequencies, the demonstrations of the problems with the continuum systems using convergent numerical solutions on the Exponential thread, and the dynamical core manuscript itself should make the issues very clear.

Even more of interest is the discussion of the sensitivity of the dynamical cores to different hyperviscosity coefficients beginning on page 38 (and there are other forms of spectral and damping included in the EUL model).

Please ask Judith to stay on the topic of dynamical cores and quit raising smokescreens to avoid the topic.