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
models —
characterized as «an ensemble of opportunity» in AR4 — that don't reflect the full range of
uncertainty in our knowledge of climate sensitivity.