Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1263-2017
https://doi.org/10.5194/hess-21-1263-2017
Research article
 | 
02 Mar 2017
Research article |  | 02 Mar 2017

Feasibility analysis of using inverse modeling for estimating field-scale evapotranspiration in maize and soybean fields from soil water content monitoring networks

Foad Foolad, Trenton E. Franz, Tiejun Wang, Justin Gibson, Ayse Kilic, Richard G. Allen, and Andrew Suyker

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Latest update: 28 Mar 2024
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Short summary
Estimates of evapotranspiration are vital for validation of models. However, those datasets are often limited to research applications. Here, we explore using vadose zone modeling with widespread and readily available soil water content monitoring networks. While this work focused on one agricultural site, the framework can be used everywhere there is basic data. The resulting evapotranspiration and soil water content measurements are valuable benchmarks for evaluation of land surface models.