Role of synthetic time series in hydrometeorological data analysis
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Material Information

Title:
Role of synthetic time series in hydrometeorological data analysis
Creator:
Shahane, Ashok
Thomas, Daniel
Bock, Paul
Publication Date:
Language:
English
Physical Description:
Article

Notes

General Note:
Abstract: 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.
Source:
Journal of the American Water Resources Association, v11 n4 (197508): 770-782

Record Information

Source Institution:
Florida International University
Rights Management:
All rights are held by the respective holding institution.
Resource Identifier:
FI12083129
OCLC Number: 4649398222