%0 Journal Article
%T On the Application of Probabilistic  Hydrometeorological Simulation of Soil Moisture across Different Stations in India
%A Sarit Kumar Das
%A Rajib Maity
%J Journal of Geoscience and Environment Protection
%P 159-169
%@ 2327-4344
%D 2014
%I Scientific Research Publishing
%R 10.4236/gep.2014.23021
%X <p class=\"MsoNormal\">
	<span lang=\"EN-US\">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 (¦È) 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.</span>
</p>
%K Soil Moisture
%K Probabilistic Modelling
%K Copula
%K Hydrometeorology
%K Hydroclimatology
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=46779