The new method, called Exact-Steady-state Adaptive Chemistry (ESAC), performs multiple fast reduced-model simulations of the steady-state problem, each time refining the accuracy of the solution by using increasingly accurate reduced models.
We combine a phylogenetic analysis and multiple models of trait evolution with simulations under the selected models, in order to comprehensively understand these different trajectories of trait evolution in the CCN group.
These large-scale features of the Asian summer monsoon during the MWP are consistent among multiple climate model simulations (Shi et al., 2016a) with nonnegligible inter-model spread in regional rainfall patterns (Shi et al., 2016b).
Using multiple climate model simulations, we show that anomalous seasonal insolation over the Northern Hemisphere due to a long cycle of orbital parameters results in a modulation of the Asian summer monsoon transition between the MWP and LIA.
Using the best parameter sets deduced with our ODE models, multiple simulations for each of the one and two-population models enabled us to estimate confidence intervals of predictions (shaded areas of Figure 5).
Given the divergent outputs obtained in the current study and in other studies, we argue that C cycle simulations and inferences should not be based on any single model but rather on the integration of multiple models with complex simulation design.
This simulation combines multiple models of cellular processes into a simulation capable of predicting the phenotype of the single-celled organism Mycobacterium genitalium, one of the simplest living organisms [ 2].
After an understanding of basic clinical skills and theory is developed by the HWs through the above listed simulation models, multiple animal simulations (pig, goat) are utilized to further solidify HWs technique and understanding (Figure 12).
Thus, this work proposes a methodology to use multiple simulation model realizations, generated through the combination of uncertain reservoir attributes, to guide an inversion process that evaluates pressure and saturation from 4D seismic, in order to provide estimations that are more reliable.
Our results indicate that KPOD reduced models are capable of accurately modeling I/O using a sequence of Krylov subspaces generated from a single nonlinear discretized model simulation while POD can require multiple nonlinear discretized model simulations to generate a reduced model with similar I/O accuracy.
