To reduce uncertainties in climate - change projections, it is essential to prioritize the improvement of the most important uncertain physical
processes in climate models.
Now the question remains (in my mind at least) whether the large increase in the amount of heat stored in the ocean is taken into
account in the climate models.
So, if you are trying to identify
bias in the climate models relative to observations (say the past 30 years), how would you do this?
It now seems possible, though, that
flaws in climate models are leading them to underestimate even shorter - term feedbacks.
If aerosols have less influence (these are quite uncertain) than currently
implemented in climate models, this reduces climate sensitivity for CO2, but not necessary for solar and volcanic.
Though each of these outcomes are indeed projected to
occur in some climate model simulations, there are numerous reasons to doubt those projections.
The globe is indeed a water world and water is not
featured in the climate models, either in vapour form in clouds nor in liquid form through the movement of currents.
Among the most uncertain
elements in climate models are the effects of aerosols and their interactions with clouds — just the things involved in albedo modification — she says.
It is imperative that the summit recommends a realistic roadmap to enable and accelerate
progress in climate modelling and prediction and to provide substantial and sustained support for enhanced workforce and computing resources.
The ice - albedo feedback is a very strong positive feedback that has been included
in climate models since the 1970s.
Phrases with «in climate models»