Sentences with phrase «best numerical model»
Even with the best numerical model of ice flow available, if the data going into it is not accurate, then the predictions will not be reliable.
http://www.antarcticglaciers.org/ Not exact matches
Howat and his team were able to figure this out by creating high - resolution topographic models of the glaciers and their boundaries, as well as a numerical model of exactly how much water was flowing off these coastal glaciers and ice caps — technology that wasn't available back in 1996.
Stumm said the study would include «putting a network of outpost wells, filling in gaps in information, and using the information in a numerical model to make predictions for management.
Physical and mathematical model of ice behavior under dynamic loads as well as a numerical method for calculating its impact and explosive loading, capable of reproducing the main features and mechanisms of deformation and fracture has been developing are currently under development.
«In our opinion, regulators should require industry to undergo this kind of numerical modeling testing prior to drilling to better estimate the potential hazard beforehand,» continues Jeoung Seok Yoon.
Using large - scale numerical modeling as well as GPS velocities from the largest GPS data - processing center in the world — the Nevada Geodetic Laboratory at the University of Nevada, Reno — Kreemer and Gordon have showed that cooling of the lithosphere, the outermost layer of Earth, makes some sections of the Pacific plate contract horizontally at faster rates than other sections.
They then perform numerical experiments to see if their models can predict these storms better than the original forecasts using new, improved techniques.
T2Well is an extension of the TOUGH (Transport of Unsaturated Groundwater and Heat) codes, a suite of software tools developed at Berkeley Lab that uses numerical models to simulate the flow of liquid, gas, and heat in porous materials and wells.
Using large - scale numerical modeling as well as GPS velocities from the largest GPS data - processing center in the world - the Nevada Geodetic Laboratory at the University of Nevada, Reno - Kreemer and Gordon have showed that cooling of the lithosphere, the outermost layer of Earth, makes some sections of the Pacific plate contract horizontally at faster rates than other sections.
The bottom panel shows a numerical model that matches the data remarkably well, from using the combined gravitational influence of luminous and dark matter.
The largest datasets exist for Earth, followed by Saturn, Jupiter and Mercury (Krupp 2015), whereas important information has also been obtained from ground - based or Earth - orbiting telescopes as well as analytical and numerical models.
WCRP - JSC / CAS WGNE promotes co-ordinated numerical experimentation for validating model results, observed atmospheric properties, exploring the natural and forced variability and predictability of the atmosphere, (e.g. the Atmospheric Model Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics procemodel results, observed atmospheric properties, exploring the natural and forced variability and predictability of the atmosphere, (e.g. the Atmospheric Model Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics proceModel Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics processes.
Our research requires integrating data and methods from comparative genomics, molecular developmental genetics, as well as physical experiments, mathematical modelling and numerical simulations.
To better understand the interaction between the CO2 frost and the surface materials, Cédric Pilorget, researcher1 at the Institut d'Astrophysique Spatiale (CNRS / Université Paris - Sud) and François Forget, CNRS scientist at the Laboratoire de météorologie dynamique2 (UPMC / ENS Paris / CNRS / Ecole polytechnique) have developed a numerical model to simulate the environment on a slope.
Radiative transfer, aerosol formation, some aspects of cloud microphysics, ocean diffusion etc. — but the real world has many good experiments that the numerical models can be evaluated against (some mentioned above).
The Sea Ice Outlook (SIO) is well established; participation remains high, with contributions based on methodologies ranging from numerical models to informed estimates.
The scientific focus is on better understanding of climate variability and climate trends using paleo (past)- climate data, instrumental data, and numerical models and theory to assess the importance of internal and external forcing of past, present and future climate.
It's not based on a numerical model of how oil would likely move and disperse if a well off Delaware really did have a major problem; that's a function of wind, tide, current, the properties of the oil, the rate and quantity of spillage, and of course the effectiveness of our efforts to contain the oil in such an incident.
Even if the individual phenomenons are well known, the final numerical model is not easily trusted: they are simplification at multiple levels, and you are never sure there is no phenomenon that you forgot or mis - modelled.
It is very humbling indeed that a model with all the complexity of a toy is the best numerical approach to this we have seen.
Cohen received his Ph.D. in Atmospheric Sciences from Columbia University in 1994 and has since focused on conducting numerical experiments with global climate models and advanced statistical techniques to better understand climate variability and to improve climate prediction.
The primary drives of the global circulation are not defined in numerical models, the secondary effects they produce, are not understood well enough to be predictable yet.
For problems with coherent features, such as hurricanes, thunderstorms, firelines, squall lines, and rain fronts, there is a need to adjust the numerical model state by deforming the state in space (its grid) as well as by correcting the state amplitudes additively.
In our work we use observations as well as a hierarchy of numerical models to study dynamical processes in the atmosphere, and climate variability.
To better portray the variability of the microbial world, Tang and Riley developed a numerical model that quantifies the costs incurred by microbes to respire, grow, and consume energy.
If you don't have a strong handle on numerical error, parameter estimation for the many subgrid models you have is really little better than guessing.
What is your response to the work of Paul Williams who has shown the critical importance of better numerical methods in climate models, not just for local error (which everyone acknowledges is large) but for the time averaged properties and «patterns» that are claimed to be meaningful and repeatable.
Our group focuses on better understanding and explaining ongoing changes in the Cryosphere, or the frozen parts of the Earth, using numerical modeling.
It is evident from Figure 2.3 that globally averaged temperature fluctuations associated with El Niño tend to be larger aloft than at the surface, and this behavior is well - simulated in numerical models.
The GCM models themselves use numerical methods and boundary condition assumptions appropriate to solutions of well behaved equations in what in the end is a perturbative expansion method.
And as this model is inherent analog it will do a better job than an digital process as there is no issue with numerical precision.
You make a very clear well reasoned case for the irrationality of using current numerical climate models fitted to past average temperature data to predict or project future average temperatures let alone temperature distributions or extreme weather events.
WCRP - JSC / CAS WGNE promotes co-ordinated numerical experimentation for validating model results, observed atmospheric properties, exploring the natural and forced variability and predictability of the atmosphere, (e.g. the Atmospheric Model Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics procemodel results, observed atmospheric properties, exploring the natural and forced variability and predictability of the atmosphere, (e.g. the Atmospheric Model Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics proceModel Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics processes.
20th Century Reanalysis: Methods and Applications To better understand and model the observed variability of the earth system, one can rapidly expand the available record by objectively combining disparate observations with numerical model - generated guesses.
He's confident that as numerical techniques improve and scientists gain a better understanding of fluid dynamics and the relationship between small - scale turbulence and large - scale motion, future models will become more robust.
A reanalysis system is a global large scale numerical forecast model (currently a numerical approximation of the ill posed hydrostatic system, e.g. the ECMWF model) that assimilates (inserts or mixes) observational data in with the numerical model forecast in an attempt to obtain a better set of global data.
The IPCC then attempts to assert their models are robust and that therefore proves the CO2 hypothesis however, an objective look at the models would say that it seems unbelievable the models are robust on the face of them considering the computational complexity and errors in the numerical processes as well as the number of assumptions in the underlying formulas.
In conclusion, the thesis advocates that GCMs be used and developed uncompromisingly for «Hypothesis testing, numerical experiments, to understand how the climate system works, including its sensitivity to altered forcing,» such a policy to continue until climate model building becomes better understood.
The people who utter the D word do not care about what the objects of their ires actually think: because the issue is not one's opinion on the GHG properties of CO2, and not even what the temperature record says, or what the equations may indicate, or how good the numerical solutions we call Models are.
Features of the model described here include the following: (1) tripolar grid to resolve the Arctic Ocean without polar filtering, (2) partial bottom step representation of topography to better represent topographically influenced advective and wave processes, (3) more accurate equation of state, (4) three - dimensional flux limited tracer advection to reduce overshoots and undershoots, (5) incorporation of regional climatological variability in shortwave penetration, (6) neutral physics parameterization for representation of the pathways of tracer transport, (7) staggered time stepping for tracer conservation and numerical efficiency, (8) anisotropic horizontal viscosities for representation of equatorial currents, (9) parameterization of exchange with marginal seas, (10) incorporation of a free surface that accommodates a dynamic ice model and wave propagation, (11) transport of water across the ocean free surface to eliminate unphysical «virtual tracer flux» methods, (12) parameterization of tidal mixing on continental shelves.