On the Application of Probabilistic Hydrometeorological Simulation of Soil Moisture across Different Stations in India


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.

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Das, S. and Maity, R. (2014) On the Application of Probabilistic Hydrometeorological Simulation of Soil Moisture across Different Stations in India. Journal of Geoscience and Environment Protection, 2, 159-169. doi: 10.4236/gep.2014.23021.

Conflicts of Interest

The authors declare no conflicts of interest.


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