•Use a LSM to
generate a “truth” data set that provides both surface soil moisture “observations” and evaluation data.
•Degrade the land surface forcing data and initial conditions to simulate uncertainties in this data (assume a perfect model).
•Run the LSM with degraded data.
•Run the LSM with degraded data and assimilate the “observations” with various levels of error imposed using the extended Kalman filter.
•Compare with the “truth”.