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

نویسندگان

  • Nazario D. Ramirez-Beltran
  • Ramon Vasquez
  • Harold Cruzado
  • Eric Harmsen
چکیده

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.

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تاریخ انتشار 2005