Other researchers uncovered
large uncertainties in climate predictions made by the fifth phase of the Coupled Model Intercomparison Project (CMIP5), a widely used, multimodel tool for climate analysis.
The formation and properties of the aerosol cloud that sits above the monsoon are a major unknown in climate science, and their potential future changes represent one of
the largest uncertainties in climate predictions.
Not exact matches
A new integrated
climate model developed by Oak Ridge National Laboratory and other institutions is designed to reduce
uncertainties in future
climate predictions as it bridges Earth systems with energy and economic models and
large - scale human impact data.
A new integrated computational
climate model developed to reduce
uncertainties in future
climate predictions marks the first successful attempt to bridge Earth systems with energy and economic models and
large - scale human impact data.
The work of Schmittner et al. demonstrates that
climates of the past can provide potentially powerful information to reduce
uncertainty in future
climate predictions and evaluate the likelihood of
climate change that is
larger than captured
in present models.
The cloud feedback question is one of the
largest remaining
uncertainties in future
climate predictions, so this is an important new paper.
This
large spread
in the
predictions reflects the current diversity
in the formulation of physics and initial conditions
in the various models used, but also inherent
uncertainty of the
climate system.
Decadal
climate prediction is immature, and
uncertainties in future forcings, model responses to forcings, or initialisation shocks could easily cause
large errors
in forecasts.