A Short- and Long-Term Memory Model to Estimate Soil Moisture

Soil moisture exhibits spatial and temporal variability. Spatial variability is mostly associated to climatology patterns, topography, soil texture, and vegetation index; where as, temporal variability is primarily associated to rainfall and air temperature events. The spatial variability is modeled by a long-term memory model whereas the temporal variability by a short-term memory model. The long-term memory model is a regression model that expresses the expected monthly soil moisture for a specific grid, where as the short-term memory model is a stochastic transfer function model that estimates the soil moisture response in hourly basis for a given grid.