Assessing the role of uncertain precipitation estimates on the robustness of hydrological
model parameters under highly variable climate conditions.
Not exact matches
Our
model is ultimately translatable to other disease systems and shows how it can be done even
under uncertainty of key
parameters.»
Regarding «runaway greenhouse», we've found
parameter values in our AGCM + slab ocean
model that seem to generate a runaway warming
under 2xCO2.
These semi-empirical
models are all prone to
model equifinality to some extent, whether the simulated state in question is an end state, or a transient one to which particular scenarios run
under different
parameter values can converge.
Under the growth
model estimates and plausible projection
parameters, school improvements falling within currently observed performance levels yield very large gains.
If you're looking for a hatchback the 5 - door
model also squeaks in just
under the budget
parameters set in this list.
I think ordinary folks easily mush together
models with
parameters with
parameter values or «settings» with exact predictions of runs
under specific settings and with general predictions that pertain to runs over a range of settings (which settings, may or may not encompass the universe of plausibility or «reasonability» and can be its own source of controversy), etc..
Re 516: I was
under the following impression: GCMs use physics only and are adjusted for better understanding of physical phenomena or inclusion of new physical
parameters; temps are used as an indicator of how well the
model performs.
Regarding «runaway greenhouse», we've found
parameter values in our AGCM + slab ocean
model that seem to generate a runaway warming
under 2xCO2.
that different
model structures and different
parameter sets of a
model can produce similar observed behavior of the system
under study — has rarely been addressed.»
The contingency created by running a
model of some physical system whose
parameters are
under - constrained is illustrated beautifully by the
model output - plots in this article.
Either the
model is perfectly constrained and thus the outcome certain before the operator hits the run button or
under - constrained in which case the outcome is determined completely by the
parameter values guessed at by the programmer.
The analysis covered (i) historical and future links between climate
parameters and tea yields, (ii) a carbon life cycle analysis, (iii) tea management scenarios
under climate change using aquacrop
model, and (iv) a socio - economic analysis of small holder tea farms and households and their coping options
under climate change.
I have not seen an objective study of
model facility given some input data used as
parameters and data not included that then is predicted to see if the
models are able to deal with «new» data but even
under this approach the very existence of the other data clouds the surety of the conclusions as the researchers clearly are aware of that data when they constructed the
models.
A good example is the smart contract
model developed by Barclays and R3,
under which contracting terms (in the form of an ISDA master agreement in natural language) are connected to computer code via
parameters (a smart contract template).