Sentence examples for eof of from inspiring English sources

The three stages of structural evolution are explained by comparing the EOF of the δ-HfN and c-Hf3N4 phases.

We calculate the empirical orthogonal functions (EOF) of the non-seasonal ocean bottom pressure (OBP) field in the circum-Antarctic seas from the GRACE data for the period from 2003 to 2015.

We use the SAM index from 1948 to 2010 based on the leading EOF of sea level pressure anomalies south of 20°S from the NCEP-NCAR Reanalysis (http://jisao.washington.edu/data/aao/slp).edu/data/aao/slp

One single annular pattern dominates the internal atmospheric variability in the Southern Hemisphere; the so-called southern annular mode (SAM) is characterized by a SAM index that can be calculated as the leading empirical orthogonal function (EOF) of sea level pressure or geopotential height fields [ Thompson and Wallace, 2000].

We attribute the slight decrease in ITP velocity of fish sperm DNA to the effects of EOF on ITP.

Throughout this study, TEA stands for teachers, COC stands for characteristics of classes, EOF for experience of failure, CEN for classroom environment, CMA for characteristics of materials, and LOI for lack of interest.

The result of the EOF analysis of pentad rainfall for the period of 1951 2012 showed two dominant EOF modes, as was the case discussed by Akasaka (2010) who applied the EOF analysis of pentad rainfall to data from 39 stations in the Philippines from 1961 to 2000.

Note (1) TEA: teachers; COC: characteristics of classes; CEN: classroom environment; CMA: classroom materials; LOI: lack of interest; EOF: experiences of failure; INT: interest; CHA: challenge; CHO: choice; and JOY: joy.

We visually compare the raw thermograms, the empirical orthogonal functions (EOFs) of the prominent component thermography (PCT) technique and the results of AET.

Empirical orthogonal functions (EOFs) of indirect archives of environmental change are increasingly used to identify coherent trends between palaeoclimate records, to separate externally forced patterns from locally driven idiosyncrasies.

Climate-scale patterns in this study are derived from covariance-based empirical orthogonal functions (EOFs) of low-pass filtered (10-day cut-off) 700-mb geopotential height fields for 1958 1999.