Sentences with phrase «in climate projections»

How low clouds respond to warming remains the greatest source of uncertainty in climate projections.
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.
A present - day bias identified in climate projections means that future tropical rainfall may be underestimated.
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).
Read more «Reducing Uncertainties in Climate Projections With Emergent Constraints.
Zachriel: There is some uncertainly in climate projections, including the degree of global warming to expect.
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.
Borodina, A., Fischer, E. M. & Knutti, R. Emergent constraints in climate projections: a case study of changes in high - latitude temperature variability.
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.
Regarding the FAQ «What is robust in a climate projection and how can I tell?»
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.
Uncertainties from differences in the climate projections are significantly smaller.
There is some uncertainly in climate projections, including the degree of global warming to expect.
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].
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