According to Table 6, using normalizing formula (standardizing), number 1, has smaller simulation error and bigger coefficient of determination in simulating stage.
We introduce several measures to quantify the total simulation error and observe a striking 'valley-structure' in the error that arises as function of the spatial resolution and the Smagorinsky length parameter.
They serve as basic elements and structures in varied fields of Metrology (chemical analysis, environmental investigation, medical imaging, particle observation, flow measurement, surveying), for modelling, description, simulation, error and uncertainty analysis, reconstruction, filtering, verification, and so on.
The simulation errors were estimated and compared favorably with real-world headlight brightness variability.
Because measurement and simulation errors are unavoidable, we usually prefer robust models and robust parameter settings.
In the assimilation system, the TB is simulated by the coupled system of a land surface model (LSM) and a radiative transfer model (RTM), and the simulation errors highly depend on parameters in both the LSM and the RTM.
This paper presents an error estimation and grid adaptive strategy for estimating and reducing simulation errors in integral outputs (functionals) of partial differential equations.
An error estimation and grid adaptive strategy is presented for estimating and reducing simulation errors in functional outputs of partial differential equations.
In order to be more accurate in predictions and reduce simulation errors, most of previous studies have focused on how to improve the methodology of load forecast or how to correct the annual meteorological parameters library in face of global warming.
This procedure keeps the thickness of layers (OS, LV, SOC2 and SOC3) the same as in the model with the oceanic water layer and reduces simulation errors.
