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In order to reduce computational complexity, food features at the fine scale are usually not modeled explicitly but incorporated through averaging procedures into models that operate at the coarse scale.
Our methodology uses two radiative transfer models that operate at leaf (PROSPECT) and canopy (DART) levels.
Both current industry practices and relevant literature investigate models that operate on variable time scales to address RES uncertainty and variability.
Since these input parameters, as well as the models that operate on them, are not precisely known, it is imprudent to assume deterministic values for them.
In this section we show the underlying models that operate within the simulation system.
Most of the current approaches address this problem by using consensus models that operate at the prediction level.
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This paper presents a computational model that operates with a flow rate dependent KM value.
The MD results were then inserted into a new hydrogen associated void nucleation model that operates as an internal state variable in the context of continuum thermodynamic plasticity.
The scheme is designed as a software package, which can be run as part of an atmospheric, hydrological or ecological model, or as a stand-alone model that operates with seven prognostic variables and 16 morphological and physiological input parameters.
As expansion and modernization progress, this development moves from the traditional village model that operates not far from resource sustainability to increasingly unsustainable patterns of commerce, urban development, and modern life.
The SWAT is a continuous time model that operates on a daily/sub-daily time step.
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