Articles | Volume 27, issue 5
https://doi.org/10.5194/hess-27-1173-2023
https://doi.org/10.5194/hess-27-1173-2023
Research article
 | 
16 Mar 2023
Research article |  | 16 Mar 2023

A comprehensive assessment of in situ and remote sensing soil moisture data assimilation in the APSIM model for improving agricultural forecasting across the US Midwest

Marissa Kivi, Noemi Vergopolan, and Hamze Dokoohaki

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Short summary
This study attempts to provide a framework for direct integration of soil moisture observations collected from soil sensors and satellite imagery into process-based crop models for improving the representation of agricultural systems. The performance of this framework was evaluated across 19 sites times years for crop yield, normalized difference vegetation index (NDVI), soil moisture, tile flow drainage, and nitrate leaching.