Sentences with phrase «for modeled sensitivity»

Not exact matches

The model for the fixed - income style box is based on the two pillars of fixed - income performance: interest - rate sensitivity and credit quality.

The fastest, toughest and smartest model of our multihead weighers, offering superior weighing sensitivity for dry, fresh and frozen products

All installed DACS models incorporate Ishida's unique Anti-Floor Vibration (AFV) system, Ishida - made high - sensitivity loadcells and high - speed Digital Signal Processing (DSP) for high weighing accuracy and consistency at high speeds, as well as key pad display for simple operation.

If as parents, we model sensitivity, empathy and harmony, our children will carry themselves through life, and react in the same manner when they encounter conflicts and adversities — for these are the tools we have been giving them.

As noted in the «methods» section, an argument could be made for including unplanned home births in the analysis, so as a sensitivity analysis the modelling was repeated, including them.

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.

At the same time, new studies of climate sensitivity — the amount of warming expected for a doubling of carbon dioxide levels from 0.03 to 0.06 percent in the atmosphere — have suggested that most models are too sensitive.

The study, called «Molecular Determinants of Drug - Specific Sensitivity for Epidermal Growth Factor Receptor (EGFR) Exon 19 and 20 Mutants in Non-Small Cell Lung Cancer,» and published online in the journal Oncotarget, demonstrates how computer modeling of EGFR mutations found in lung cancer can elucidate their molecular mechanism of action and consequently optimize the selection of therapeutic agents to treat patients.

To estimate how much the sensitivity varies, Gary Russell of the NASA Goddard Institute for Space Studies in New York and colleagues ran a climate model repeatedly.

LUX will expand its search later this year when it begins a second, year - long run searching for new dark matter models at an even greater sensitivity.

Many psychological factors could have confounded the results — differential sensitivity to gains and losses, for example — but Cavanagh and Frank controlled for those with the help of a sophisticated computer model that accounts for and statistically disentangles the relationship of bias and theta from those other influences.

These longer response times are consistent with models of how visual neurons enhance sensitivity at low light intensities, but they could pose a challenge for moths feeding from swaying flowers.

As we explain in our glossary item, climatologists use the concept of radiative forcing and climate sensitivity because it provides a very robust predictive tool for knowing what model results will be, given a change of forcing.

A sensitivity study for solar in the HadCM3 model showed that it probably underestimates solar with a factor 2 (see Stott ea.)

Empirically, we know that for a particular model, once you know its climate sensitivity you can easily predict how much it will warm or cool if you change one of the forcings (like CO2 or solar).

There are, incidentally, other scientific problems with the paper: notably that the model used was only suitable for small perturbations but the results are for rather large perturbations; and that the estimate of CO2 sensitivity was too low by a factor of about 3.

[Response: The ECHO - G model has a climate sensitivity that is within the standard range of the models considered by IPCC (around 2.6 deg C for 2xCO2 I think).

CO2 growth rates (CEI, p. 11): arguments about what growth rates for CO2 emissions that some models use are besides the point of what the science says about the climate sensitivity of the earth system (emissions growth rates are if anything an economic question).

The climate sensitivity is an output of complex models (it is not decided ahead of time) and it doesn't help as much with the details of the response (i.e. regional patterns or changes in variance), but it's still quite useful for many broad brush responses.

Such studies can reasonably account for the observed variations as a response to solar and volcanic forcing (and a few secondary things) with energy balance climate models tuned to have a climate sensitivity equivalent to 2.5 C per doubling of CO2.

in a search for the relative strength of the different sensitivities in the Hadcm3 model.

This version of the model had a climate sensitivity was around 4 deg C for a doubling of CO2.

Just for the sake of illustration, though, here's one scenario where higher Holocene variability could go along with lower climate sensitivity: Suppose that some unknown stabilizing mechanism makes the real world less sensitive to radiative forcing than our current models.

Patients (for whose care the movement exists) must demand better evidence, better presented, better explained, and applied in a more personalised way with sensitivity to context and individual goals.48 There are already some models of good practice here.

does fit the temperature trend to an acceptable level, if one should reduce the sensitivity for CO2 / aerosols far enough... Current models also can reproduce other transitions (LGM - Holocene) with a reasonable accuracy, but this is mainly in periods where there is a huge overlap between temperature (as initiator) and CO2 / CH4 levels (as feedback).

The model you cite has similar sensitivity to both aerosols and CO2, how you can conclude its results are right for one, and wrong for the other makes no sense.]

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

A 3 - D model for the Antarctic ice sheet: a sensitivity study on the glacial - interglacial contrast.

For large animals, like hippo and buffalo, their sensitivity to change — especially with predictions of more frequent and prolonged drought — means they don't do well in any of the future scenarios modelled by the park's scientific teams.

Note that the old GISS model had a climate sensitivity that was a little higher (4.2 ºC for a doubling of CO2) than the best estimate (~ 3ºC) and as stated in previous years, the actual forcings that occurred are not the same as those used in the different scenarios.

Meanwhile, Granier became interested in adiponectin receptors after a Japanese group showed that a small molecule could activate the receptors for to increase insulin sensitivity in an obese mouse model.

Develop a framework for integrating ocean acidification sensitivities at the organism level into ecosystem models.

December 19, 2017 — Noteworthy NIH advances in basic research include a 3 - D model of human brain development and disease, a virus linked to food sensitivity, and a new role discovered for the thalamus.

Hansen's model assumed a rather high climate sensitivity of 4.2 °C for a doubling of CO2.

In the end, Archibald concludes that the warming from the next 40 ppm of CO2 rise (never mind the rest of it) will only be 0.04 degrees C. Archibald's low - ball estimate of climate change comes not from the modtran model my server ran for him, but from his own low - ball value of the climate sensitivity.

Forecast temperature trends for time scales of a few decades or less are not very sensitive to the model's equilibrium climate sensitivity (reference provided).

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.

Therefore, what Hansen's models and the real - world observations tell us is that climate sensitivity is about 40 % below 4.2 °C, or once again, right around 3 °C for a doubling of atmospheric CO2.

For instance, the sensitivity only including the fast feedbacks (e.g. ignoring land ice and vegetation), or the sensitivity of a particular class of climate model (e.g. the «Charney sensitivity»), or the sensitivity of the whole system except the carbon cycle (the Earth System Sensitivity), or the transient sensitivity tied to a specific date or period of time (i.e. the Transient Climate Response (TCR) to 1 % increasing CO2 aftersensitivity only including the fast feedbacks (e.g. ignoring land ice and vegetation), or the sensitivity of a particular class of climate model (e.g. the «Charney sensitivity»), or the sensitivity of the whole system except the carbon cycle (the Earth System Sensitivity), or the transient sensitivity tied to a specific date or period of time (i.e. the Transient Climate Response (TCR) to 1 % increasing CO2 aftersensitivity of a particular class of climate model (e.g. the «Charney sensitivity»), or the sensitivity of the whole system except the carbon cycle (the Earth System Sensitivity), or the transient sensitivity tied to a specific date or period of time (i.e. the Transient Climate Response (TCR) to 1 % increasing CO2 aftersensitivity»), or the sensitivity of the whole system except the carbon cycle (the Earth System Sensitivity), or the transient sensitivity tied to a specific date or period of time (i.e. the Transient Climate Response (TCR) to 1 % increasing CO2 aftersensitivity of the whole system except the carbon cycle (the Earth System Sensitivity), or the transient sensitivity tied to a specific date or period of time (i.e. the Transient Climate Response (TCR) to 1 % increasing CO2 afterSensitivity), or the transient sensitivity tied to a specific date or period of time (i.e. the Transient Climate Response (TCR) to 1 % increasing CO2 aftersensitivity tied to a specific date or period of time (i.e. the Transient Climate Response (TCR) to 1 % increasing CO2 after 70 years).

To address this, we present a framework for assessing three dimensions of climate change vulnerability, namely sensitivity, exposure and adaptive capacity; this draws on species» biological traits and their modeled exposure to projected climatic changes.

In addition, the authors do not account for uncertainties in the simple model whose sensitivity is fitted.

Rather, their analysis shows that if you compare the LGM land cooling with the model land cooling, then the model that fits the land best has much higher GLOBAL climate sensitivity than you get for best fit if you use ocean data.

In the response by raypierre - I agree about the problems with simple energy balance model and its lack of spatial representation, but it's tough to fault the authors for the lack of cloud detail, since the science is not up to the task of solving that problem (and doing so would be outside the scope of the paper; very few paleoclimate papers that tackle the sensitivity issue do much with clouds).

However, because of the various unknowns in the cloud process, the models give quite different climate sensitivities, accounting for much of the IPCC spread.

[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.

We present results from crude models, models adjusted for relevant variables including age, sex, blood pressure, BMI, and adherence to diet (percent of missed meals), and sensitivity analyses further adjusting for time varying changes in BMI and systolic blood pressure.

It is not all that earthshaking that the numbers in Schmittner et al come in a little low: the 2.3 ºC is well within previously accepted uncertainty, and three of the IPCC AR4 models used for future projections have a climate sensitivity of 2.3 ºC or lower, so that the range of IPCC projections already encompasses this possibility.

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.

These models all suggest potentially serious limitations for this kind of study: UVic does not simulate the atmospheric feedbacks that determine climate sensitivity in more realistic models, but rather fixes the atmospheric part of the climate sensitivity as a prescribed model parameter (surface albedo, however, is internally computed).

We furthermore suggested that Cluster N is likely to process such light - mediated magnetic compass responses, based on the fact that Cluster N is the only known forebrain area that is highly active during magnetic compass orientation, and on the theoretical model [7] on magnetic field modulation of the light sensitivity of specialized receptor molecules in the retina of the birds, [for detailed arguments see 13], [14].