Sentences with phrase «model sensitivity which»

Temp rise relates to model sensitivity which I addressed above, re.

Not exact matches

This model was chosen because of its high sensitivity and the ease with which it will detect all magnetic and non-magnetic metal contamination — even when contamination is enclosed in the product.

I support the midwifery model of care; which emphasizes a commitment to informed choice, continuity of individualized care and sensitivity to the emotional and spiritual aspects of childbearing.

Add to that Cuomo's newfound sensitivity to the highly public criticism from US Attorney Preet Bharara and others of the traditional «three - men - in - a-room» budget negotiation model, which has led to the governor's unusual in - person visits to the Capitol's third floor, and you get the diffuse and sometimes chaotic situation that we've witnessed over the past several days.

The reason, it seems, has to do with Mexico City's unusual sensitivity to earthquakes and the efforts it has made to compensate, which could serve as a model for preparedness in the developing world.

They used two different climate models, each with a different sensitivity to carbon dioxide, to project California's future under two scenarios: an optimistic one, in which we only double the level of carbon dioxide in the atmosphere — since the 19th century we've already increased it by about a third — and a pessimistic scenario, in which we more than triple CO2.

That uncertainty is represented in the latest crop of global climate models, which assume a climate sensitivity of anywhere from about 3 to 8 degrees F.

«We are currently working on parameter sensitivity analysis and Bayesian calibration of this new model and also on a high resolution regional simulation over the U.S. Corn Belt, all of which would not be possible without the precious computational resources provided by Blue Waters.»

On the face of it the range of the IPCC models is centrally within the A&H 90 % range, but visual inspection of Figure 1 suggests that A&H find that there is about a 45 % probability that climate sensitivity is below the lower end of the range quoted by Meehl in August 2004 (Of course the IPCC draft report, which I have not seen, may include models with lower sensitivity than 2.6 ºC).

Can we go beyond this rather vague statement and use the LGM to say which of the many models is most likely to have the right climate sensitivity?

In addition, past data can be used to provide independent estimates of climate sensitivity, which provide a reality check on the models.

Making use of mountain snow line data indicating larger temperature changes at altitude, Lindzen proposed a new kind of model of the tropical response, which fit the CLIMAP data and indicated very low sensitivity to CO2 increases in the future.

Thus, the question naturally arises as to whether one can use information from past climates to check which models have the most correct climate sensitivity.

Hadcm3 model which has halve the sensitivity for solar forcing than for CO2 forcing...

The real «equilibrium climate sensitivity,» which is the amount of global warming to be expected for a doubling of atmospheric CO2, is likely to be about 1 °C, some three times smaller than most models assumed.

This is a 0.9 ºC reduction from the sensitivity of 2.5 °C estimated in that predecessor study, which used the same climate model.

They got 10 pages in Science, which is a lot, but in it they cover radiation balance, 1D and 3D modelling, climate sensitivity, the main feedbacks (water vapour, lapse rate, clouds, ice - and vegetation albedo); solar and volcanic forcing; the uncertainties of aerosol forcings; and ocean heat uptake.

Although the strength of this feedback varies somewhat among models, its overall impact on the spread of model climate sensitivities is reduced by lapse rate feedback, which tends to be anti-correlated.

What this is saying I think is that no one had managed at that point to build a physics - based model which produces a very high sensitivity while agreeing well with observations such as the effect of the Pinatubo eruption.

The basic idea is that across the CMIP3 models there was a strong correlation of mid-tropospheric humidity variations with the model sensitivity, and combined with observations of the real world variations, this gives a way to suggest which models are most realistic, and by extension, what sensitivities are more likely.

[Response: The way the radiation is written in the Uvic model — which is typical for energy balance models of this sort — you can dial in whatever sensitivity parameter you want.

Indeed, Gore could have used the ice core data to make an additional and stronger point, which is that these data provide a nice independent test of climate sensitivity, which gives a result in excellent agreement with results from models.

To explore the possibility that frailty (which is associated with both low cholesterol and death28 29) could confound these results, we did a sensitivity analysis adjusting our Cox models (table 4 ⇑) for two known markers of frailty (changes in body weight and changes in systolic blood pressure).28 29 30 These adjustments did not materially change the effect estimates, which remained significant in both groups.

«We indicated 23 years ago — in our 1994 Nature article — that climate models had the atmosphere's sensitivity to CO2 much too high,» said Christy, the lead author in the study, which has been accepted for publication in the 2017 fourth quarter edition of the Asia - Pacific Journal of Atmospheric Sciences and is available online.

There are > 20 global climate models — not one of which works with a climate sensitivity of < 2 K per doubling of CO2.

In the classic model of insulin resistance, the paradox was that DNL was enhanced, not decreased which looked a lot like heightened insulin sensitivity instead of resistance.

Research performed on human males with androgen insensitivity syndrome compared to the classical sexual development models which were created from research on rats, indicates that the rat model does not account for the sensitivity of the hypothalamal - hypophyseal - gonadal axis with fluctuations in hormonal levels, namely androgens and estrogens.7

It is proposed that altered gut fermentation and microbiota are the initial mechanisms by which RS improves diabetes and that enhance serum gut peptides (ie., GLP - 1, PYY and GIP) are secondary mechanisms involved in improve beta cell function and insulin sensitivity in this model of diabetes.

While painting using the model, students will develop strong explorations into the unique abilities of watercolor, applying several principles, which include: anatomy, the use of light over form, color sensitivities, movement through space and form over time, construction and deconstruction, abstraction and approaches to composition.

The most unfortunate thing is that the somewhat clumsy press - release obscured the true message, which is that physics alone does not rule out high sensitivities, even if you impose the requirement that the model match the present annual mean climate.

In models run with the GISS forcing data, the «natural + anthropogenic» temperature evolution matches observations very well for a climate sensitivity of 0.75 °C / W / m ², which agrees with the value derived from palaeoclimate data.

When modelling the effect on global temperature, they are using the equivilant of 3.18 deg C equilibriom sensitivity which is par for the course.

One can temper that with studies of paleoclimate sensitivity, but the ensemble results still should be borne in mind, since doubling CO2 takes us into a climate that has no real precendent in the part of the climate record which has been used for exploring model sensitivity, and in many regards may not have any real precedent in the entire history of the planet (in terms of initial condition and rapidity of GHG increase).

If those forcings and the response can be quantified they provide good targets against which the models» sensitivity can be tested.

(c) Our current climate models can not replicate the relatively high climate sensitivities, and Arctic Amplifications, of Super Interglacial periods, which are most relevant to our future in 2100;

Myles is on much stronger ground when he argued that the mean model response (~ 3ºC sensitivity) wasn't terribly interesting because it is just a reflection of the basic model they started with before any perturbations, which is true.

Even without the ice age test, which ideally all models will eventually use, I find it hard to believe that one could not rule out such a high sensitivity model in a host of ways.

Cloud responses are more uncertain and that feeds in to the uncertainty in overall climate sensitivity — but the range in the AR4 models (2.1 to 4.5 deg C for 2xCO2) can't yet be constrained by paleo - climate results which have their own uncertainties.

The addition says many climate models typically look at short term, rapid factors when calculating the Earth's climate sensitivity, which is defined as the average global temperature increase brought about by a doubling of CO2 in the atmosphere.

This kind of forecast doesn't depend too much on the models at all — it is mainly related to the climate sensitivity which can be constrained independently of the models (i.e. via paleo - climate data), moderated by the thermal inertia of the oceans and assuming the (very likely) continuation of CO2 emissions at present or accelerated rates.

There, two models were looked at (from Suki Manabe and Jim Hansen) which had a 2 and 4 °C sensitivity, respectively.

The link is based on a single modelling sensitivity study (Rotstayn and Lohmann, 2002) which looked at only the changes in the indirect effect from the pre-industrial (ca. 1850) to the present day.

There is a «model» which has a certain sensitivity to 2xCO2 (that is either explicitly set in the formulation or emergent), and observations to which it can be compared (in various experimental setups) and, if the data are relevant, models with different sensitivities can be judged more or less realistic (or explicitly fit to the data).

The basic idea is that across the CMIP3 models there was a strong correlation of mid-tropospheric humidity variations with the model sensitivity, and combined with observations of the real world variations, this gives a way to suggest which models are most realistic, and by extension, what sensitivities are more likely.

In this regard it's important to consider the difference between Crowley et al (2000), who use an energy balance model with a sensitivity of 2.0 to get something like the MBH99 reconstruction, and the ECHO - G climate model, which has a sensitivity of 3.5 and reasonable stratospheric component and gives somthing like Moberg.

I haven't seen anything that very strongly supports the IRIS idea, but I do concur with one idea buried in the paper: that the parameterization of fractional cloud cover in GCM's is not based on very clear physical principles, and could operate in many different ways — some of which, I think, could make climate sensitivity considerably greater than the midrange model of the current crop.

If I knew the transient sensitivity of this model (which I don't), I could have scaled against that.

Making use of mountain snow line data indicating larger temperature changes at altitude, Lindzen proposed a new kind of model of the tropical response, which fit the CLIMAP data and indicated very low sensitivity to CO2 increases in the future.

From what I can gather, superficially, is that the authors took a climate model, with the same CO2 sensitivity as the IPCC, and modified it to account fot the Atlantic Meridional Overturning, which is a temporary phenomenon.

But questions remained concerning the degree of decadal variability, the length of the record and the balance in the models between aerosol forcing and climate sensitivity (which can't really be disentangled using this measure).