Sentences with phrase «characterizing model uncertainty»

Publicize accomplishments and demonstrated progress in understanding of critical processes, characterizing model uncertainty, and improving the fidelity of climate models and their subcomponents.

Not exact matches

Ongoing radio observations (SMA, JCMT, VLA) of Sirius A are being used to set an observationally determined standard for stellar atmosphere modeling and debris disk studies around A stars, as well as to take the first step toward characterizing potential intrinsic uncertainty in stellar emission at these wavelengths.
The meeting included focus sessions on computational methods for modeling and handling large amounts of data, characterizing uncertainty, research on dust and aerosols, soils, urban systems and individual topics that are too numerous to list, from science communication and stellar astrophysics to biogeochemistry.
Ensembles made with the same model but different initial conditions only characterize the uncertainty associated with internal climate variability, whereas multi-model ensembles including simulations by several models also include the impact of model differences.
To characterize observational uncertainty, four atmospheric reanalyses are used as climate model surrogates and two gridded observational data sets are used as downscaling target data.
In addition, despite our effort to characterize and possibly minimize the climatic uncertainty, one should be aware of other sources of uncertainty (e.g., in the hydrological and hydraulic modeling, in the space - time discretization, in the impact model, among others) which affect complex modeling framework such as the one presented in this work.
I have argued previously that the uncertainty surrounding future climates is best characterized by scenario uncertainty, in the sense of modal logic whereby individual model simulations should be regarded as a modal statement of possibility:
Refsgaard et al. provide a framework and guidance for assessing and characterizing uncertainty in the context of environmental modeling.
The climate change problem is characterized by high levels of uncertainty, and modeling and subjective judgments substitute extensively for estimates based upon experience with actual events and outcomes.
They use a group of climate modelscharacterized as «an ensemble of opportunity» in AR4 — that don't reflect the full range of uncertainty in our knowledge of climate sensitivity.
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