Sentence examples for dominant variability from inspiring English sources

The least squares spectral analysis (LSSA) method is, then employed to find the most significant frequencies of the time-series, while the statistical method of principle component analysis (PCA) is applied to extract the dominant variability of level variations.

The EOF is designed to obtain the dominant variability patterns from sets of fields of any type, synthetic indicators or indexes, and summarise the variability observed in a group of variables.

The EOF is designed to derive the dominant variability patterns from sets of fields of any type, synthetic indicators or indexes, and summarize the variability observed in a group of variables.

Groundwater resources management requires operational, regional-scale groundwater models accounting for dominant spatial variability of aquifer properties and spatiotemporal variability of groundwater recharge.

The maximum variance is found in the eastern Pacific along the equator and along through the South American coast, indicating that the most dominant SST variability is trapped along the eastern equatorial and coastal regions.

While this study has focused on the most dominant climate variabilities in the tropical Pacific, we must note that other climate variabilities in higher latitudes, such as the North Atlantic Oscillation or Southern Ocean Annular Mode, likely play certain roles in the global carbon cycle.

He found that a climate system called the Atlantic multi-decadal oscillation (AMO) was a dominant source of variability in ice extent.

The soil moisture persistence and dominant scales of variability are explored with autocorrelation and wavelet transform techniques.

Effects on outcomes of dominant multi-decadal variability are, however, largely subdued in the longer 240-year series.

What is currently less understood, namely due to reduced sampling in the last 20 years, are dominant patterns of variability over decadal timescales.

Areal covariates are motivated by a principal component analysis that indicates the seasonal spatial average is the dominant mode of variability across the domain.