4.7 Article

Interplay of climate seasonality and soil moisture-rainfall feedback

Journal

WATER RESOURCES RESEARCH
Volume 50, Issue 7, Pages 6053-6066

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2013WR014772

Keywords

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Funding

  1. National Aeronautics and Space Administration (NASA) [NNX09AN76G]
  2. National Science Foundation [NSF-CBET-10-33467, NSF-EAR-0838301, NSF-EAR-1331846, NSF-EAR-1316258]
  3. US DOE through the Office of Biological and Environmental Research, Terrestrial Carbon Processes program [DE-SC0006967]
  4. Agriculture and Food Research Initiative from the USDA National Institute of Food and Agriculture [2011-67003-30222]
  5. Directorate For Engineering
  6. Div Of Chem, Bioeng, Env, & Transp Sys [1033467] Funding Source: National Science Foundation
  7. Directorate For Geosciences
  8. Division Of Earth Sciences [1316258] Funding Source: National Science Foundation

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The soil moisture-rainfall feedback (SMRF) may significantly impact hydro-climatic dynamics, inducing persistent weather conditions that are responsible for prolonged droughts or abnormally wet states. However, externally driven seasonal variability in rainfall and potential evapotranspiration, with the associated patterns of wet and dry conditions, may both interact with such an SMRF. In this study, seasonal variations in radiation and precipitation forcing are included in a stochastic SMRF model with the assumption of a soil moisture-dependent average rainfall frequency to explore their effects on the soil moisture probabilistic structure. The theoretical model results, based on a parameterization using data for soil moisture and climate in Illinois, show that average rainfall frequency peaks in late spring when both the soil condition and the SMRF strength favor convective rainfall triggering. Under such conditions, the soil moisture tends to exhibit bimodal behavior until the SMRF strength becomes weak again toward the end of the growing season. Such a behavior is reminiscent of the dynamics of a system undergoing a periodic, stochastically forced pitchfork bifurcation. The presence of bimodal soil moisture behavior is also verified using nonparametric statistical tests on soil moisture data. The analysis of wet-to-wet and dry-to-dry soil moisture transitions in the joint probability distribution of soil moisture further corroborates the presence of hydroclimatic persistence in the spring-to-summer transition.

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