4.7 Article

The root-zone soil moisture spectrum in a mediterranean ecosystem

Journal

JOURNAL OF HYDROLOGY
Volume 609, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jhydrol.2022.127757

Keywords

Ecohydrology; Lorentzian spectrum; Mediterranean ecosystems; Root zone soil moisture

Funding

  1. Ministry of Education, University and Research (MIUR) [F24D19000020006]
  2. SWATCH European project of the PRIMA MED program, CUP [F24D19000010006]
  3. FLUXMED European project of the WATER JPI program, CUP [F24D19000030001]
  4. U.S. National Science Foundation [NSF-AGS-2028633, NSF-IOS-1754893]
  5. Department of Energy [DE-SC0022072]
  6. U.S. Department of Energy (DOE) [DE-SC0022072] Funding Source: U.S. Department of Energy (DOE)

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The storage of water in the root zone of the soil introduces memory effects in soil moisture dynamics, with a timescale longer than many atmospheric processes. This study analyzes the spectrum of soil moisture dynamics using long-term measurements and models. The results show that the shape of the measured soil moisture spectrum is approximately Lorentzian, with peak values at daily and annual timescales. The study also found that precipitation variability dominates soil moisture variability, rather than evapotranspiration variability.
Storage of water within soil pores of the root zone introduce memory effects in the dynamics of soil moisture that are considerably longer than the integral timescale of many atmospheric processes. Thus, hydro-climatic states can be sustained through land-surface heat and water vapor fluxes primarily because they can feed off on this long-term soil moisture memory. Root-zone soil moisture memory is only but one feature characterizing the spectrum of soil moisture dynamics, which is analyzed here using a combination of long-term measurements and models. In particular, the spectrum of root-zone soil moisture content in a Mediterranean ecosystem is examined using 14-years of half-hourly measurements. A distinguishing hydro-climatic feature in such ecosystems is that sources (mainly rainfall) and sinks (mainly evapotranspiration) of soil moisture are roughly out of phase with each other. For over 4 decades of time scales and 7 decades of energy, the canonical shape of the measured soil moisture spectrum is shown to be approximately Lorentzian determined by the soil moisture variance and its memory but with two exceptions: the occurrences of a peak at diurnal-to-daily time scales and a weaker peak at near annual time scales. Model calculations and spectral analysis demonstrate that diurnal and seasonal variations in hydroclimate forcing responsible for variability in evapotranspiration had minor impact on the normalized shape of the soil moisture spectrum. However, their impact was captured by adjustments in the temporal variance. These findings indicate that precipitation and not evapotranspiration variability dominates the multi-scaling properties of soil moisture variability consistent with prior climate model simulations. Furthermore, the soil moisture memory inferred by the annual peak of soil moisture (340 d) is consistent with climate model simulations, while the memory evaluated from the loss function of a linearized mass balance approach leads to a smaller value (50 d), highlighting the effect of weak non-stationarity on soil moisture variability.

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