Not exact matches
«These
observations will hopefully help us
better understand the life cycle of solar prominences and their connection with the rest of the heliosphere, ultimately providing a
better insight into how to protect ourselves
against damaging space weather,» Labrosse says.
«Its existence was predicted by the standard model of particle physics and the fact that there's — we got a glimpse of it, it looks like it may very
well be there — is a real victory for that model of science where you test, you put forward conceptual models of the way the world or the universe works and test those models
against the
observations and see the extent to which they can predict new
observations and when they do, it gives you increased confidence in the models.
While Brad may be in a constant battle
against himself, an internal battle White reveals through near constant voiceover narration — a tricky device
best - suited to the first - person novel and not a cinematic character study — White repeatedly opts for the mundane
observation, the banal realization.
And that means that as you come back to your school of education, the video has to be analyzed, the
observation rubrics have to be in place and used, we have to know what
good teaching looks like in a disaggregated form, we have to be able to provide meaningful feedback
against a differentiated rubric.
Harvard's
Best Foot Forward study cautions
against a number of
observation mistakes, such as excessive self - criticism.
and her one
good friend, Hannah, («We were two solitudes benefiting from a grace that was continuously reinvigorated in each other's presence, two solitudes who nourished each other»)
against the background of war - torn Beirut, and all her
observations are illustrated with quotes from her favourite books.
I thought it would have been a great opportunity for resident scientists and other Guest scientists to closely review KAs claims / ideas / methodology
against complex scientific papers and test how close his assertions were and how
well founded his ideas met with factual
observations and know - how.
It also seems unfair to say that the model - weighting approach is
better because it doesn't rely on the existence of a linear relationship when you * chose * the variable to compare
against observations on the basis of that variable providing a
good linear fit to your predictand.
With 2010 over, we now have 16
observations starting in 1995, and (unsurprisingly to anyone who followed the argument thus far) the upward trend is now statistically significant at the 5 per cent level [1] That is, if climate change since 1995 (the time of the first IPCC report, and
well after Lindzen announced himself as a sceptic) had been purely random, the odds
against such an upward trend would be
better than 20 to 1
against.
How hard would it be to just collect source code for the various models, and test them
against different input parameters, as
well as newer
observations, and see which physics is likely to be more realistic?
Otherwise, your
observations about ability to rationalize and so on are
well made, but — my advice is don't bet
against the second law.
Likewise, to properly represent internal variability, the full model ensemble spread must be used in a comparison
against the
observations, as is
well known from ensemble weather forecasting (e.g., Raftery et al., 2005).
You are comparing «
Well mixed greenhouse gases»
against Observations (which is ALL FORCINGS).
I am a
Good and Righteous man, so I struggle on despite what is stacked
against me (current
observations).
Of those runs, how many would pass conventional regression statistical comparisons
against the
observations is a very
good question.
Arguing
against the model vs real world comparison «Here Judith is (I think) referring to the mismatch between the ensemble mean (red) and the
observations (black) in that period... However, the
observations are
well within the spread of the models and so could easily be within the range of the forced trend + simulated internal variability.»
Regrettably we never see the test of the skill of the Hansen model
against the latter (it clearly has greater skill than either Hansen or the prediction based on the latest
observation) because in the past this model hasn't been a
good predictor of the future.
This sounds like a
good and easy math check / spreadsheet function that can be set up on
observations of monthly CO2 saturation value
against the various RCPs.
It should be noted that the SMEs examined here were not explicitly designed to be reliable according to the rank histogram metric, although they were designed with some expectation that each member of the ensemble would verify
well against a basket of
observations.
The UN Committee's Concluding
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