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Rosenbaum, U., Bogena, H. R., Huisman, J. A., Peterson, T. J., Weuthen, A., Western, A. W., & Vereecken, H. (2012). Seasonal and Event Dynamics of Spatial Soil Moisture Patterns at the Small Catchment Scale. Water Resources Research, 48, W10544. http://dx.doi.org/10.1029/2011WR011518

has been cited by the following article:

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

  AUTHORS: Sarit Kumar Das, Rajib Maity

  KEYWORDS: Soil Moisture, Probabilistic Modelling, Copula, Hydrometeorology, Hydroclimatology

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.2 No.3, June 13, 2014

  ABSTRACT: 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.