• OpenAccess
  • On the Application of Probabilistic Hydrometeorological Simulation of Soil Moisture across Different Stations in India  [HOAC 2014]
  • DOI: 10.4236/gep.2014.23021   PP.159 - 169
  • Author(s)
  • Sarit Kumar Das, Rajib Maity
  • An application of a proposed hydrometeorological approach for probabilistic simulation of soil moisture is carried out. The time series of in-situ soil moisture and meteorological variables at monthly scale from a few monitoring stations having different soil-hydrologic properties across India are utilized. Preliminary investigation with both precipitation and near-surface air-tempera- ture as meteorological variables to establish that the strength of association between soil moisture and precipitation is more significant as compared to that between soil moisture and temperature. Precipitation-based probabilistic estimation of soil moisture using the proposed hydrometeorological approach is tested with in-situ observed soil moisture, CPC model output and with soil moisture data of the Climate Change Initiative (CCI) project. The parameter of the developed model is linked to the soil-hydrologic characteristics through Hydrologic Soil Group (HSG) classification. Higher values of model parameter (dependence parameter (θ) for the selected copula) correspond to HSG A and B having higher soil porosity, whereas, lower values correspond to HSG B and C having lower soil porosity.

  • Soil Moisture, Probabilistic Modelling, Copula, Hydrometeorology, Hydroclimatology
  • References
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