Validation of models against global and regional requirements for conservation of energy is especially important in this regard.
Not exact matches
Based on their findings, they urge that «mosquito saliva and enhancing antibodies thus need to be considered when developing vaccines and drugs
against dengue,» and specifically suggest that «animal
models of dengue and pre-clinical
validation of dengue vaccine candidates should be evaluated in the combined presence
of mosquito saliva and enhancing antibodies.»
Using the calibrated
models, the researchers then applied NIRS to a random mix
of mosquitoes and checked the results
against validation tests using mosquito extracts for molecular detection
of strain - specific Wolbachia DNA to determine accuracy.
This environment, designated the Virtual Environment for Reactor Applications (VERA), incorporates science - based
models, state -
of - the - art numerical methods, modern computational science and engineering practices, and uncertainty quantification (UQ) and
validation against data from operating pressurized water reactors (PWRs), single - effect experiments, and integral tests.
As to validated, I was speaking in terms
of model validation — verification
of trends in the
model against data, etc..
To wit: Those who work with computer
models of climate trust them more than is warranted by the
validation that can be done
against the (limited) available observations.
Are ocean
models so robustly based on first principles that they can be trusted without
validation against sound observations over the time scales
of interest?
• Lack
of formal
model verification &
validation, which is the norm for engineering and regulatory science • Circularity in arguments validating climate
models against observations, owing to tuning & prescribed boundary conditions • Concerns about fundamental lack
of predictability in a complex nonlinear system characterized by spatio - temporal chaos with changing boundary conditions • Concerns about the epistemology
of models of open, complex systems
The fact that the
models can be made to simulate unforced climate behavior is
of course only a first step in enabling them to simulate forced climate change, but because it involves
validation against observed data, it is informative at least in terms
of the unforced phenomena in showing that the
models have probably estimated the real world phenomena with reasonable accuracy.
Validation of individual segments
of the
models, usually one
against another, was sufficient to make the
models «useful.»
My recollection was that in another context, when confronted with the fact that climate
models have not been successfully validated
against temperature records, or general global climate, Gavin responded that that type
of validation was not necessary.