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Full-Text Articles in Physical Sciences and Mathematics
Factors Influencing Soil Moisture At The Hillslope Scale In A Semi-Arid Mountainous Environment, Ivan John Geroy
Factors Influencing Soil Moisture At The Hillslope Scale In A Semi-Arid Mountainous Environment, Ivan John Geroy
Boise State University Theses and Dissertations
Soil moisture couples ground, surface, and atmospheric water interactions via the processes of evapotranspiration, infiltration, and runoff generation (Grayson et al., 1997). Consequently, understanding the factors that influence the spatial distribution of soil moisture is vitally important to the accurate conceptualization and modeling of watershed processes. Typically, topographic indexing methods for the prediction of soil moisture have been studied in temperate or humid areas where the soil profile is often saturated and redistribution of soil moisture is driven by topography (Famiglietti et al., 1998; Grayson et al., 1997; Western et al., 1999). By contrast, in semi-arid environments, long periods of …
Reproducibility Of Soil Moisture Ensembles When Representing Soil Parameter Uncertainty Using A Latin Hypercube–Based Approach With Correlation Control, Alejandro N. Flores, Dara Entekhabi, Rafael L. Bras
Reproducibility Of Soil Moisture Ensembles When Representing Soil Parameter Uncertainty Using A Latin Hypercube–Based Approach With Correlation Control, Alejandro N. Flores, Dara Entekhabi, Rafael L. Bras
Alejandro N. Flores
Representation of model input uncertainty is critical in ensemble-based data assimilation. Monte Carlo sampling of model inputs produces uncertainty in the hydrologic state through the model dynamics. Small Monte Carlo ensemble sizes are desirable because of model complexity and dimensionality but potentially lead to sampling errors and correspondingly poor representation of probabilistic structure of the hydrologic state. We compare two techniques to sample soil hydraulic and thermal properties (SHTPs): (1) Latin Hypercube (LH) based sampling with correlation control and (2) random sampling from SHTP marginal distributions. A hydrology model is used to project SHTP uncertainty onto the soil moisture state …