It's a well - known fact that clouds are
the major uncertainty in any climate model.
Not exact matches
«Reducing the wide range of
uncertainty inherent
in current
model predictions of global
climate change will require
major advances
in understanding and
modeling of both (1) the factors that determine atmospheric concentrations of greenhouse gases and aerosols, and (2) the so - called «feedbacks» that determine the sensitivity of the
climate system to a prescribed increase
in greenhouse gases.»
The ENA is providing a rare, long - term data set about the response of these low clouds to changes
in atmospheric greenhouse gases and aerosols — a
major source of
uncertainty in global and regional
climate models.
Limited understanding of clouds is the
major source of
uncertainty in climate sensitivity, but it also contributes substantially to persistent biases
in modelled circulation systems.
Uncertainties in the effects of cloud are the joker
in the pack Equally erroneous and unfounded assumptions fed into
climate models are a
major cause of the current problem.