In fact, uncertainties in how clouds change with warming are the primary source of the large
spread in climate projections for the next century (Bony and Dufresne 2005; Vial et al. 2013; Brient and Schneider 2016).
Projections differ widely among climate models, and differences in the solar reflection by low clouds over tropical oceans account for much of
the spread in climate projections across current models.
Not exact matches
The analysis of processes contributing to
climate feedbacks
in models and recent studies based on large ensembles of models suggest that
in the future it may be possible to use observations to narrow the current
spread in model
projections of
climate change.
Global
climate model
projections (
in CMIP3 at least) appear to underestimate sea ice extent losses with respect to observations, though this is not universally true for all models and some of them actually have ensemble
spreads that are compatible with PIOMAS ice volume estimates and satellite observations of sea ice extent.
Contribution from working group I to the fifth assessment report by IPCC TS.5.4.1 Projected Near - term Changes
in Climate Projections of near - term climate show small sensitivity to Green House Gas scenarios compared to model spread, but substantial sensitivity to uncertainties in aerosol emissions, especially on regional scales and for hydrological cycle var
Climate Projections of near - term
climate show small sensitivity to Green House Gas scenarios compared to model spread, but substantial sensitivity to uncertainties in aerosol emissions, especially on regional scales and for hydrological cycle var
climate show small sensitivity to Green House Gas scenarios compared to model
spread, but substantial sensitivity to uncertainties
in aerosol emissions, especially on regional scales and for hydrological cycle variables.
The vertical lines, where they exist, indicate the «
spread»
in projections of the additional PAR due to
climate change.
In particular, we find that the observationally informed warming projection for the end of the twenty - first century for the steepest radiative forcing scenario is about 15 per cent warmer (+0.5 degrees Celsius) with a reduction of about a third in the two - standard - deviation spread (− 1.2 degrees Celsius) relative to the raw model projections reported by the Intergovernmental Panel on Climate Change.&raqu
In particular, we find that the observationally informed warming
projection for the end of the twenty - first century for the steepest radiative forcing scenario is about 15 per cent warmer (+0.5 degrees Celsius) with a reduction of about a third
in the two - standard - deviation spread (− 1.2 degrees Celsius) relative to the raw model projections reported by the Intergovernmental Panel on Climate Change.&raqu
in the two - standard - deviation
spread (− 1.2 degrees Celsius) relative to the raw model
projections reported by the Intergovernmental Panel on
Climate Change.»
However the
projections in the FAR were not very dependent on the
spread of model sensitivites — the «best estimate» was produced by comparing model experiments with observations and scaling to infer a
climate sensitivity of 2.5 ºC (2.1 ºC if compared to current 2xCO2 RF formulation).
These uncertainties may partly explain the typically weak correlations found between paleoclimate indices and
climate projections, and the difficulty
in narrowing the
spread in models»
climate sensitivity estimates from paleoclimate - based emergent constraints (Schmidt et.
«
Climate sensitivity is a metric used to characterise the response of the global climate system to a given forcing» and «'' Spread in model climate sensitivity is a major factor contributing to the range in projections of future climate changes» both suggest to me that CS is an
Climate sensitivity is a metric used to characterise the response of the global
climate system to a given forcing» and «'' Spread in model climate sensitivity is a major factor contributing to the range in projections of future climate changes» both suggest to me that CS is an
climate system to a given forcing» and «''
Spread in model
climate sensitivity is a major factor contributing to the range in projections of future climate changes» both suggest to me that CS is an
climate sensitivity is a major factor contributing to the range
in projections of future
climate changes» both suggest to me that CS is an
climate changes» both suggest to me that CS is an input.
But the sentence reading «
Spread in model
climate sensitivity is a major factor contributing to the range
in projections of future
climate changes,» strongly suggests it is an input.
The tropospheric energy budget, for example, is why precipitation
spreads in model
projections are much smaller than the temperature
spreads associated with unknown
climate sensitivity, as the trop.
Climate change is likely to
spread malaria to new areas
in the Indian Himalayas, and lengthen the periods
in which the infection is
spread in a number of districts, according to
projections from malaria researchers
in India.But the country's east coast could see fewer malaria cases by 2030, because of rising temperatures which affect mosquitoes» [continue reading...]