Sentences with phrase «various models trends»

The magnitude of the various models trends was shown to be 2 - 4 times over observation.

Not exact matches

His analytical models and projections display how global politics impacts various markets and economic trends through taking into account past, current, and future global events.

Certainly everybody that I saw in my short time was extremely interested in purchasing a car and if they happen to be from the more upwardly mobile kind of middle class, they were very interested in buying not a fuel - efficient car but a hummer even, you know, pretty much following the exact same model as the American aspiration or, you know, the «American dream» model and certainly the suburbs seem to be a growing trend and if you noticed that, Philip, you know, I visited a suburb called Orange County outside of Beijing and it really looked like Orange County and they even had like the palm trees and everything and I saw these in all the cities I visited Chongqing, Chengdu, various other cities that I visited, they were ringed by suburbs and the folks who live there, you know, the privileged few were using cars to commute into the cities for work.

I retrieved data on multiple species from various research sites, and through comparative analyses of these data I explored trends and made assumptions that allowed me to sketch out various ecological interaction models.

The new 17 - author paper (accessible pdf)(lead by Ben Santer), does a much better job of comparing the various trends in atmospheric datasets with the models and is very careful to take account of systematic uncertainties in all aspects of that comparison (unlike Douglass et al).

While this methodology doesn't eliminate your point that the trends from different periods in the observed record (or from different observed datasets) fall at various locations within our model - derived 95 % confidence range (clearly they do), it does provide justification for using the most recent data to show that sometimes (including currently), the observed trends (which obviously contain natural variability, or, weather noise) push the envelop of model trends (which also contain weather noise).

We saw this occur in the satellite versus surface temperature trend debate in which at various times different sides of this debates aligned with models or data.

At the tail end of the full paper, capping a paragraph about a weak spot in the analysis — that the observed trend in extreme precipitation events exceeds what is produced by various climate models — comes a sentence about uncertainties:

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).

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

But, if your model was previously pretty close, and you get to run the code enough, you can fiddle with various choices in forcing anomalies and match the trends.

Since it is impossible to know which elements, if any, of these models are correct, we used an average of all 13 scenarios to approximate growth rates for the various energy types as a means to estimate trends to 2040 indicative of hypothetical 2oC pathways.

The fact that the authors have identified 30 separate methods employed in various SLR papers begs for climate science to develop best practices in creating trend models.

This link to Visser et al 2015, is a paper that has identified 30 (Thirty) statistical and mathematical methods in developing trend models in various published papers on SLR.

It was a survey of the various mathematical and statistical methods in developing trend models.

Lets see......... Bob Tisdale presents graphs comparing modeled 30 - year trends to 30 - year trends of the various surface temperature products in his FREE e-book «On Global Warming and the Illusion of Control.»

The usual snake oil salesmen then came up with various experts / studies that tried to make the unbelievable believable: IPCC climate models accurately reflect past and current temperature trends.

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

The CMIP3 models show a 1979 — 2010 tropical SST trend of 0.19 °C per decade in the multi-model mean, much larger than the various observational trend estimates ranging from 0.10 °C to 0.14 °C per decade (including the 95 % confidence interval, (Fu et al., 2011)-RRB-.

I am unaware, though, of any model that accurately represents the various decadal trends of the first three - quarters of the 20th Century nor the beginning of the 21st Century.

Ferdinand, given that I like your points regarding the shortness of various time series in the Arctic (notwithstanding Steve Bloom's good suggestion that we look at the big picture), how many more years of warming trends that continue in general accordance with model predictions would it take to convince you?

Subjects covered include an overview of technology trends and the various components of an IT stack, common product offerings (HW, SW, support, PS, hosting, outsourcing, cloud), business models used in the industry (purchase, license, lease, service contract), routes to market (social media, direct sales and channels), and typical approaches to risk management.