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ROLE OF SYNTHETIC TIME SERIES IN HYDROMETEOROLOGICAL DATA ANALYSIS 1
Author(s) -
Shahane Ashok N.,
Thomas Daniel,
Bock Paul
Publication year - 1975
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1975.tb00729.x
Subject(s) - hydrometeorology , series (stratigraphy) , time series , confidence interval , residual , spectral analysis , statistics , mathematics , algorithm , meteorology , physics , geology , precipitation , paleontology , quantum mechanics , spectroscopy
The use of synthetic time series (artificially simulated time series with specific and useful properties built into them) to increase the confidence in the statistical parameters of limited hydrometeorological time series is the subject matter of this paper. By constructing fourteen synthetic time series, a sensitivity analysis is performed to assess the net effect of nonstationarity, number of lags and small sample size on estimated spectral densities. Similarly, the effects of the harmonic‐removal procedure on the resulting residual series and the confidence limits in cross spectral analysis are examined in the light of synthetic time series analysis. These analyses clearly indicate the useful supplemental role of synthetic time series in data analysis.