Sentences with phrase «scale average variables»

Not exact matches

Since the energy portion of the recovery fee is variable and structured on a sliding scale, as the national average price of diesel goes down, the recovery fee will be reduced.

The simple correlation between spending per student and average TIMSS test scores is 0.13 in primary school and 0.16 in middle school, on a scale where 1.0 denotes an absolute positive correlation between the two variables and 0 signals no correlation (see figure 2).

Type of business organisation: sole proprietors, partnerships, private limited companies, public limited companies, multinationals, co-operatives, public corporations, labour - intensive and capital - intensive, difference between production and productivity, Total and average cost, fixed and variable cost, average and total revenue, aims of business organisations, Perfect competition and Monopoly (advantages and disadvantages), Different sizes of firms (Integrations), Economies and diseconomies of scale.

Typically, card issuers offer variable interest rates, and the lower rate on the scale is often below the national average.

(G) Northern Hemisphere average proxy temperature anomalies (10 - year means) reconstructed by Mann et al. (26) on the basis of two approaches (CPS, composite plus scale; EIV, error in variables) and by Moberg et al..

The problem here is that the «forcings» are in fact some other inherent variables of the very same climate - bearing system, but there is no clear separation of time scales that allow for any sort of coherent theories like «averaging of fast motion» that results in Landau - Ginzburg - type equations for «slow envelopes».

Whether the activity of cumulus convection is determined by the variables averaged over the grid box of numerical models (100 km scale for typical GCMs, 20 km scale in the case of «high resolution» GCM of MRI).

southern oscillation a large - scale atmospheric and hydrospheric fluctuation centered in the equatorial Pacific Ocean; exhibits a nearly annual pressure anomaly, alternatively high over the Indian Ocean and high over the South Pacific; its period is slightly variable, averaging 2.33 years; the variation in pressure is accompanied by variations in wind strengths, ocean currents, sea - surface temperatures, and precipitation in the surrounding areas

This limits strongly the possible variations and guarantees certainly that something that can be called average can be observed for all important climate variables over some time scales.

In a system such as the climate, we can never include enough variables to describe the actual system on all relevant length scales (e.g. the butterfly effect — MICROSCOPIC perturbations grow exponentially in time to drive the system to completely different states over macroscopic time) so the best that we can often do is model it as a complex nonlinear set of ordinary differential equations with stochastic noise terms — a generalized Langevin equation or generalized Master equation, as it were — and average behaviors over what one hopes is a spanning set of butterfly - wing perturbations to assess whether or not the resulting system trajectories fill the available phase space uniformly or perhaps are restricted or constrained in some way.

I'm very convinced that the physical process of global warming is continuing, which appears as a statistically significant increase of the global surface and tropospheric temperature anomaly over a time scale of about 20 years and longer and also as trends in other climate variables (e.g., global ocean heat content increase, Arctic and Antarctic ice decrease, mountain glacier decrease on average and others), and I don't see any scientific evidence according to which this trend has been broken, recently.

But complex models of that sort can easily produce more than 100 prognostic and diagnostic climate variable outputs, at each of around a million grid points, for each model day, and almost all of these are averages which need to be downscaled to get useful information at point scale.

Also, the confidence in projections is higher for some variables (e.g. temperature) than for others (e.g. precipitation), and it is higher for larger spatial scales and longer time averaging periods.

The average same - variable correlations for each variable group (full - scale v single item) were 0.66 (work characteristics), 0.63 (personality), 0.37 (coping style) and 0.63 (outcomes), suggesting good concurrent validity (above 0.50) in all but coping style.

The variables in each scale are averaged together to form a total score between 1 and 5.