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CYGNSS Data Assimulation
Performed Data assimulation using Ensemble Kalman Filter (En-KF) using CYGNSS observation data and the model projected data using Hydrus -1D. Validation Performed using the Txson cal/Val site data.
Data Assimulation Structure
Due to the high non-linearity of the soil moisture model, the Ensemble Kalman filter is used. Covariance Matrix is generated by introducing variance to the model input and then assembled with the observation covariance.
Assimulation Results
Assimulation Results Demonstrated good improvement on both soil moisture esimation from the satellite observation and the pure hydrology model run.
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