In some cases, the
spread in climate projections can be reduced by weighting of models according to their ability to reproduce past observed climate.
My understanding is that the major uncertainties
in climate projections on time scales of more than a few decades are unlikely to be resolved in the near future.
For policymakers and the public, a more transparent and consistent measurement of how scientists perceive the accuracy of climate models could help instill more
confidence in climate projections as a whole, said Sander van der Linden, a postdoctoral researcher and lecturer of public affairs, and director of Princeton's Social and Environmental Decision - Making (SED) Lab who studies public policy from a behavioral - science perspective.
RCP (representative concentration pathways) Imagined plausible trends in greenhouse gas emissions and resulting concentrations in the atmosphere
used in climate projection models.
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).
Indeed, activists recently jumped to criticize an energy industry lawyer for quoting from the United Nations» Intergovernmental Panel on Climate Change's assessments on climate change, which have consistently noted the uncertainty
inherent in climate projections.
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.
Biases and parameterization formulation uncertainties in the representation of boundary layer clouds remain a leading source of possible systematic
error in climate projections.
Within an international model intercomparison project, researchers were able to simulate the complex carbon cycle as well as vegetation
dynamics in climate projections for the 21st century.
Shifts of means are not a proxy for changes in extreme winter temperatures in climate projections
The uncertainties
in climate projections originate in the representation of processes such as clouds and turbulence that are not resolvable on the computational grid of global models.
Communicating uncertainty
in climate projections provides essential information to decision makers, allowing them to evaluate how policies might reduce the risk of climate impacts.
It finds that peramfrost melting is not included in climate models, representing a «potentially profound
bias in the climate projections — not toward overestimation of climate change, but toward its underestimation.»
The idea is to compare the climate simulations of distinct general circulation models (GCMs)
used in climate projections, by applying stochastic - conjugacy methods and thus perform a stochastic classification of GCM families.
Starting in the late 1990s, big companies whose profits were tied to fossil fuels recognized they could use this journalistic practice to amplify the inherent
uncertainties in climate projections and thus potentially delay cuts in emissions from burning those fuels.
But, each data source also has a degree of uncertainty
in its climate projection,» says Heaton.
Years of results regarding secondary organic aerosols reduce uncertainty in climate projections
The overall uncertainty
in climate projections, however, remains relatively unchanged.
Seminars addressed scientific issues affecting uncertainties
in climate projections.
The AGU recognizes that the climate system is complex, and there are uncertainties
in climate projections that are made.
Given the uncertainty
in climate projections, there can be surprises that may cause more dramatic disruptions than anticipated from the most probable model projections.
The book does a good job of explaining the uncertainties
in the climate projections.
By Dr. Tim Ball It is not surprising that Roe and Baker explained in a 2007 Science paper that, «The envelope of uncertainty
in climate projections has not narrowed appreciably over the past 30 years, despite tremendous increases in computing power, in observations, and in the number of scientists studying the problem.»
Given current uncertainties in representing convective precipitation microphysics and the current inability to find a clear obser - vational constraint that favors one version of the authors» model over the others, the implications of this ability to engineer climate sensitivity need to be considered when estimating the uncertainty
in climate projections.»
Impacts ranged from a strong increase to a severe loss of vegetation carbon (cv), depending on differences
in climate projections, as well as the physiological response to rising [CO2].