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On the spectrum of soil moisture from hourly to interannual scales
Author(s) -
Katul Gabriel G.,
Porporato Amilcare,
Daly Edoardo,
Oishi A. Christopher,
Kim HyunSeok,
Stoy Paul C.,
Juang JehnYih,
Siqueira Mario B.
Publication year - 2007
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 - 10.1029/2006wr005356
Subject(s) - water content , evapotranspiration , environmental science , precipitation , soil science , soil water , moisture , hydrology (agriculture) , atmospheric sciences , geology , physics , meteorology , geotechnical engineering , ecology , biology
The spectrum of soil moisture content at scales ranging from 1 hour to 8 years is analyzed for a site whose hydrologic balance is primarily governed by precipitation ( p ), and evapotranspiration (ET). The site is a uniformly planted loblolly pine stand situated in the southeastern United States and is characterized by a shallow rooting depth ( R L ) and a near‐impervious clay pan just below R L . In this setup, when ET linearly increases with increasing root zone soil moisture content (θ), an analytical model can be derived for the soil moisture content energy spectrum ( E s ( f ), where f is frequency) that predicts the soil moisture “memory” (taken as the integral timescale) as β 1 −1 ≈ ηR L /ET max , where ET max is the maximum measured hourly ET and η is the soil porosity. The spectral model suggests that E s ( f ) decays at f −2− α at high f but almost white (i.e., f 0 ) at low f , where α is the power law exponent of the rainfall spectrum at high f ( α ≈ 0.75 for this site). The rapid E s ( f ) decay at high f makes the soil moisture variance highly imbalanced in the Fourier domain, thereby permitting much of the soil moisture variability to be described by a limited number of Fourier modes. For the 8‐year data collected here, 99.6% of the soil moisture variance could be described by less than 0.4% of its Fourier modes. A practical outcome of this energy imbalance in the frequency domain is that the diurnal cycle in ET can be ignored if β 1 −1 (estimated at 7.6 days from the model) is much larger than 12 hours. The model, however, underestimates the measured E s ( f ) at very low frequencies ( f ≪ β 1 ) and its memory, estimated from the data at 42 days. This underestimation is due to seasonality in ET max and to a partial decoupling between ET and soil moisture at low frequencies.
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