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 ΔW, runoffR, precipitationP, evapotranspirationE, and change in storage ΔSfor 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, ΔS, andEtime 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 lagg