Sentences with phrase «water vapor feedback predicted»

Nevertheless, the results described here provide key evidence of the reliability of water vapor feedback predicted by current climate models in response to a global perturbation in the radiative energy balance.»

Not exact matches

It appears to me that the new «scientific evidence» is suggesting that water vapor feedback is not as strong as had been estimated by the models previously and that net cloud feedback may be neutral to slightly negative, rather than strongly positive, as predicted previously by the models.

manacker December 19, 2012 at 8:00 pm said:» It appears to me that the new «scientific evidence» is suggesting that water vapor feedback is not as strong as had been estimated by the models previously and that net cloud feedback may be neutral to slightly negative, rather than strongly positive, as predicted previously by the models»

Many skeptics including myself believed that the rising side of the AMDO was being counted as anthropogenic and that when the falling side arrived this would show that positive feedback from water vapor is a myth and sensitivity is the 1.1 C that modtrans predicts.

It's my understanding that NVAP data shows as atmospheric CO2 increases, water vapor decreases; exactly opposite what climate models predict because they assume water vapor is a net positive feedback; more wv, more warming, more wv, more warming.....

Including water vapor feedback, lapse rate feedback and surface albedo feedback, but excluding cloud feedback, the IPCC models predict a value of 1.9 °C ± 0.15 °C.

For example, all models predict the same OLR feedback through clear skies (water vapor plus lapse rate, about +1.1 W / m2 / K).

Using feedback parameters from Fig. 8.14, it can be estimated that in the presence of water vapor, lapse rate and surface albedo feedbacks, but in the absence of cloud feedbacks, current GCMs would predict a climate sensitivity (± 1 standard deviation) of roughly 1.9 °C ± 0.15 °C (ignoring spread from radiative forcing differences).

Precipitation measurements are key to understanding and predicting water vapor feedback, water supply, drought, severe storms, and floods.

There are three primary feedback effects — clouds, sea ice and water vapor; these, combined with other feedback effects, produce the greatest uncertainties in predicting the planet's future climate.

The simulator does not itself predict changes in water vapor or clouds, and so those feedback variables are a separate source of data with a higher uncertainty, but still likely to change in a manner that does not radically alter the results expected on the basis of current understanding.