Sentence examples for uncertainty of surface from inspiring English sources

Due to the uncertainty of surface error distribution, and difference in the size and the locations of sample points, the evaluated value has a certain degree of uncertainty, which reduces the accuracy of the measurement.

The extent of data uncertainty of surface-wave measurements may have significant consequences on 1D seismic response analysis and it may lead to inaccurate estimate of design ground motion.

Specifically, large off-diagonal elements correspond to a highly concentrated distribution of axes of random infinitesimal rotations which causes large variability in the angular uncertainties of surface points.

We also discuss possible biases caused by the temperature dependence of the absorption cross section utilized in the DOAS retrieval, and the effect of uncertainties of surface albedo and clouds on the estimation of precisions.

It was shown that the sensitivity of the measurements of the chloride ion adsorption can be increased by about two orders of magnitude by using rough Pt surfaces, while the uncertainty of the surface excess of the adsorbed ions could be reduced significantly.

The over response of the dose measurement in the buildup region using a parallel plate ionization chamber could be attributed to the uncertainty of the surface dose measurement in TBI.

However, studies in GBM cell lines and primary tumor tissues indicated that both CD133+ and CD133− GBM tumor cells were oncogenic [25], [27], revealing the uncertainty of the surface markers.

An upper limit of uncertainties of MISR surface reflectances that allows discrimination between biomes, minimizes the impact of biome misidentification on LAI retrievals, and maximizes the spatial coverage of retrievals was estimated.

Therefore, considerable efforts have been expended to analyze the performance of the algorithm as a function of uncertainties of MISR surface reflectances and to establish the convergence property of the MISR LAI/FPAR algorithm, namely, that the reliability and accuracy of the retrievals increase with increased input information content and accuracy.

The consequently high decoupling coefficient (0.65 ± 0.16 in the growing season) allows further modeling of fens in this region with reduced effects from the uncertainties of parameterizing surface conductance terms and their responses to water table and vapor pressure deficit changes.

These procedures can remove uncertainties in analysis of surface states in nano-particles, corrosion, catalysis and surface-engineered materials.