Sentences with phrase «numerical modeling approach»

Towards quantitative sea ice reconstructions in the northern North Atlantic: a combined biomarker and numerical modeling approach.

«We will use a high - resolution and physically based numerical modeling approach for simulating how water moves from the atmosphere to surface waters and into groundwaters,» said scientist Erica Woodburn of Berkeley Lab's Earth and Environmental Sciences Area.

Not exact matches

«We gradually increased the physical complexity of numerical models based on high - resolution observations, and it is really a success story for the approach we've taken with IRIS.»

The Mathematics of the Weather is a forum for the discussion of new numerical approaches for use in numerical forecasting, climate modelling and research into numerical modelling of the atmosphere.

As a result, this new combustion strategy requires detailed knowledge of fundamental mechanisms, including fuel spray and mixture preparation, detailed ignition chemistry mechanisms and concurrent numerical approaches to turbulence modeling and simultaneous reaction chemistry modeling.

We found that 14C - assimilation could be described by the same function of CO2 for both approaches but showed different dependencies on HCO3 — when pH was varied at constant TIC than when TIC was varied at constant pH. A numerical model of Trichodesmium's CCM showed carboxylation rates are modulated by HCO3 — and pH. The decrease in Ci assimilation at low CO2, when TIC was varied, is due to HCO3 — uptake limitation of the carboxylation rate.

Traditional, bottom - up detector characterization methods provide one way to model underlying detector physics, and generate ever more faithful numerical simulations, but this approach is vulnerable to preconceptions and over-simplification.

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.

Individual responses continue to be based on a range of methods: statistical, numerical models, comparison with previous rates of sea ice loss, composites of several approaches, estimates based on various non sea ice datasets and trends, and subjective information (the heuristic category).

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.

Individual responses were based on a range of methods: statistical, numerical models, comparison with previous observations and rates of ice loss, and composites of several approaches.

The July 2010 Sea Ice Outlook Report is based on a synthesis of 17 individual pan-Arctic estimates using a wide range of methods: statistical, numerical models, comparison with observations and rates of ice loss, composites of several approaches.

The individual responses were based on a range of methods: statistical, numerical models, comparison with previous observations and rates of ice loss, or composites of several approaches; details can be found in the individual outlooks available at the bottom of this page.

ERA - Interim combines information from meteorological observations with background information from a forecast model, using the data assimilation approach developed for numerical weather prediction.

The individual responses were based on a range of methods: statistical, numerical models, comparison with previous observations and rates of ice loss, or composites of several approaches; details can be found in the individual outlooks available at the end of this report.

I think the only way to approach the Arctic - wide temperature changes is through reanalyses (data assimilation by numerical weather prediction models)[link]; see this figure from the ECMWF reanalyses [link]:

Conference topics of emphasis will include dynamics, high performance computing, numerical analysis, cloud systems behavior, data assimilation, dimension reduction, uncertainty quantification, model hierarchy, and statistical approaches.