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The study aims to enhance soil moisture data accuracy for effective ecological restoration on the Loess Plateau.

An Grided Soil Moisture Profile Data Set Based on an Optimal Land Surface Model With Measured Hydraulic Parameters and Data Assimilation Over the Loess Plateau

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Randomized trial improves soil moisture simulation accuracy in the Loess Plateau, suggesting better revegetation strategies.

The study aims to enhance soil moisture data accuracy for effective ecological restoration on the Loess Plateau.
Integrated satellite-derived leaf area index into the Noah-MP model through data assimilation.
Incorporated measured runoff parameters and in situ soil hydraulic parameters.
Conducted calibration with field data to improve model accuracy.
Calibration increased soil moisture simulation accuracy by 24% and reduced error by 15%.
The model reduced overestimation of soil moisture by 13% compared to mainstream data sets.
Soil available water showed a stronger correlation with leaf area index than soil moisture.

Zhou et al. (2026) studied this question.

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