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Spectral analysis of hydrometeorological time series
Author(s) -
Shahane Ashok N.,
Thomas Daniel,
Bock Paul
Publication year - 1977
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr013i001p00041
Subject(s) - hydrometeorology , series (stratigraphy) , time series , coherence (philosophical gambling strategy) , spectral analysis , environmental science , cross spectrum , precipitation , precipitable water , evapotranspiration , meteorology , mathematics , physics , statistics , frequency domain , geology , spectroscopy , paleontology , mathematical analysis , ecology , quantum mechanics , biology
As a part of the interdisciplinary methodology for exploring the characteristic behavior of the hydrometeorological components of the United States, spectral analysis (consisting of spectral density and cross‐spectral density techniques) is employed to provide statistical information in the frequency domain. The spectral density technique is applied to analyze the 5 years of mean monthly time series of atmospheric vapor transport ∇· Q , atmospheric precipitable water Δ W , runoff R , precipitation P , evapotranspiration E , and change in storage Δ S for 76 drainage basins of the United States, and on an experimental basis, cross‐spectral techniques are tried for these time series in 10 large combined drainage basins. The outcome from the spectral density analysis provides information about the spatial variation in the periodic properties of the ∇· Q, R, P , Δ S , and E time series over the United States, whereas the cross‐spectral analysis illuminates the cross‐correlation characteristics of the hydrometeorological data in light of the variations in coherence, partial coherence, and leading and lagging phase angles.