Sentences with phrase «in observational facts»

On the other hand, the results would be founded in observational facts and data, and would not be nearly as subject to the whims and biases of an agendized clique of climate modelers whose basic starting point is, and always will be, «Nothing else but C02 explains it.»

Not exact matches

Since you mentioned it, I'm glad to point that the Big Bang is just a way to dodge the facts and logic conclusions made by Edwin Hubble in his Observational Approach to Cosmology, pointing that Earth was in a privileged position, in the center of universe, which obviously has to be done for a purpose, by whoever is responsible for the Creation.

In fact, there is a dynamic interplay between experimental and observational data and theoretical work, the latter involving mathematical modelling using advanced algebraic and computational techniques.

In fact after many years at the helm of a world - class observational institute, Fr Coyne had been asking for some time that his superiors find a younger director.

If you read the part you quoted in context, you will see that it is a call for more studies in light of the fact that «Increasingly better observational studies suggest that planned hospital birth is not any safer than planned home birth assisted by an experienced midwife with collaborative medical back up, but may lead to more interventions and more complications.»

Surprisingly, observational tests of the multiverse picture may in fact be possible.

Called the high - dimensional propensity score algorithm (hd - PS), it is a tool for improving not randomized clinical trials but broader observational studies, in which researchers watch a large pool of participants and look for correlations — like the fact that wine drinkers live longer than other drinkers.

Correlations deduced from an observational study do not — in fact, can not — prove causation.

The thing is, «chronic endurance exercise» actually does n`t seem to «reduce lifespan» — the available data suggest the opposite, in fact... (observational data corrected for confounding factors, as RCTs on this question are pretty much impossible, for obvious reasons..)

Dr. R's Fast Facts Vitamin K Studies to Note: The Role of Vitamin K Status in Cardiovascular Health: Evidence from Observational and Clinical Studies.

Although, whether in fact the systems have actually been reformed is also of debate in that states are still using many of the same observational systems they were using prior (i.e., not the «binary checklists» exaggerated in the original as well as this report, albeit true in the case of the district of focus in this study).

In fact, one observational system of which I am aware (i.e., the TAP System for Teacher and Student Advancement) is marketing its proprietary system, using as a primary selling point figures illustrating (with text explaining) how clients who use their system will improve their prior «Widget Effect» results (i.e., yielding such normal curves; see Figure below, as per Jerald & Van Hook, 2011, p. 1).

Accordingly, this report was widely publicized given the assumed improbability that only 1 % of America's public school teachers were, in fact, ineffectual, and given the fact that such ineffective teachers apparently existed but were not being identified using standard teacher evaluation / observational systems in use at the time.

The authors» second assumption they imply: that the two most often used teacher evaluation indicators (i.e., the growth or value - added and observational measures) should be highly correlated, which many argue they should be IF in fact they are measuring general teacher effectiveness.

In fact, the linear relationship between teachers» VAM and observational scores only accounts for about 8 % of the variation in VAM scorIn fact, the linear relationship between teachers» VAM and observational scores only accounts for about 8 % of the variation in VAM scorin VAM score.

What this means in practice is that if, in fact, there is a non-linear relationship between teachers» observational and VAM scores, this can induce a small but statistically significant correlation.

Imagine that you are describing not facts in your observational essay but emotions and impressions these events have awoken in you.

This observational fact belies the expectations from climate simulations and, in truth, our science lacks a good explanation for this discrepancy.

It's not just the observational systems, but also the fact that we often can identicfy in weather forecasts (model simulations) conditions that are favourale for such storms, so that we know in advance when too keep a watchful eye.

[Response: You are right that the data probably may not be 100 % representative, due to improved the fact that the observational capabilities have improved over time and the fact that most storms nowadays are detected whereas some may have gone undetected in the past.

In fact our real argument turned around is that we reject a model amplification of 1.2 and even 1.0 over land since that is inconsistent with the observational analysis of observed ratios of surface and lower troposphere trends.

In fact, NO ONE HAS YET FOUND A WAY WITH OBSERVATIONAL DATA TO TEST CLIMATE MODEL SENSITIVITY.

that CO2 plays a very small to insignificant role in climate change (when we consider observational facts and physical laws instead of models that do not even agree with measured facts).

«In summary, given the lack of observational robustness of minimum temperatures, the fact that the shallow nocturnal boundary layer does not reflect the heat content of the deeper atmosphere, and problems global models have in replicating nocturnal boundary layers, it is suggested that measures of large - scale climate change should only use maximum temperature trends.&raquIn summary, given the lack of observational robustness of minimum temperatures, the fact that the shallow nocturnal boundary layer does not reflect the heat content of the deeper atmosphere, and problems global models have in replicating nocturnal boundary layers, it is suggested that measures of large - scale climate change should only use maximum temperature trends.&raquin replicating nocturnal boundary layers, it is suggested that measures of large - scale climate change should only use maximum temperature trends.»

The fact that our pf ′ values (even for 30 - year TLT trends) are sensitive to the addition of a single year of observational data indicates the dangers of ignoring the effects of interannual variability on signal estimates, as was done, for example, in Douglass et al. [2007].

In fact, based on observational data it seems unlikely that there is a very close correlation for the following reasons: 1) If historic correlations remained consistent it would be a lot hotter right now based on increases in observed CO2 levelIn fact, based on observational data it seems unlikely that there is a very close correlation for the following reasons: 1) If historic correlations remained consistent it would be a lot hotter right now based on increases in observed CO2 levelin observed CO2 levels.

In fact, observational data shows no change whatsoever in the number or intensity of tropical storm activity, perioIn fact, observational data shows no change whatsoever in the number or intensity of tropical storm activity, perioin the number or intensity of tropical storm activity, period.

It is an observational fact that there was been an unexplained 200 % increase in mid-ocean seismic activity period B for the entire planet as compared to period A.

My final point here is that I am 100 % in favor of this approach (not just in this field, but in observational science generally), and am in fact convinced that only via systematically conducteed simulations of realistic tree ring data sets can methodological problems be identified (and potentially corrected).

This observational fact supports the assertion that majority of the warming in the last 50 years was not caused by the increase in atmospheric CO2.

According to Stone, cases where the link between human - generated greenhouse gas emissions and local warming trends were weak were often due to the fact that the climate observational record was insufficient in those regions to build a clear picture about what has been happening over the past several decades.

http://multi-science.metapress.com/content/575k5821r2w23t73 Morphological and stratigraphical observational facts in the Sundarban delta provide data for a novel sea level reconstruction of the area.

And in fact, recent observational (Lavender et al., 2000; Fischer and Schott, 2002; Bower et al., 2009) and modeling studies (Gary et al., 2011; Lozier et al., 2010) of subsurface floats have revealed that the DWBC is not the sole, and perhaps not even the dominant, conduit for the transport of the waters within the deep limb of the AMOC.

Here are the observational facts: 1) more active sun, warming in stratosphere and above 2) less active sun, cooling in stratosphere and above 3) trace gases can temporarily alter these general situations, e.g. CFCs in stratosphere, H2O in mesosphere, and CO2 in thermosphere 4) climate in troposphere acts upwards, e.g. through upwards traveling waves [leading to warming], wetter strato - and meso - sphere.

In fact urban heat island effect is clearly seen — the ground based observational trend takes into account primarily urban heat island effect and not much of the rural cold island effect [satellite data takes in to account bothIn fact urban heat island effect is clearly seen — the ground based observational trend takes into account primarily urban heat island effect and not much of the rural cold island effect [satellite data takes in to account bothin to account both].

As someone who follows climate change news fairly closely, something that's been simultaneously frustrating and scary is how many people seem to believe that scientists are exaggerating the effects of climate change as a scare tactic, when in fact, if you compare their predictions with the actual observational evidence, scientists have overwhelmingly UNDERestimated the speed and violence of climate impacts.

, which are in fact the excess of AFari + aci over RFari, need adjusting (scaling down by (0.73 − 0.4) / (0.9 − 0.4), all years) to obtain a forcing dataset based on a purely observational estimate of aerosol AF rather than the IPCC's composite estimate.

The fact that developing aspects of a model can leave its satisfaction of observational constraints unaltered but drastically change its sensitivity seems to fatally undermine the emergent constraint approach, at least in relation to all constraints for which this can occur.

Brient & Schneider's results in fact change little if a more reasonable method of weighting models that does not penalise differences in the uncertainty between the model and observational estimates of the TLC reflection — SST relationship is used.