Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data

Strebel, Lukas; Bogena, Heye; Vereecken, Harry; Andreasen, Mie; Aranda-Barranco, Sergio; Hendricks Franssen, Harrie-Jan

doi:https://doi.org/10.5194/hess-28-1001-2024

Articles | Volume 28, issue 4

https://doi.org/10.5194/hess-28-1001-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-28-1001-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 4

Research article

|

28 Feb 2024

Research article |

| 28 Feb 2024

Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data

Lukas Strebel, Heye Bogena, Harry Vereecken, Mie Andreasen, Sergio Aranda-Barranco, and Harrie-Jan Hendricks Franssen

Data sets

Dataset of "COSMOS-Europe: A European network of Cosmic-Ray Neutron Soil Moisture Sensors'' H. Bogena and P. Ney https://doi.org/10.34731/x9s3-kr48

Model code and software

lstrebel/TSMP: CLM5+PDAF with helper scripts L. Strebel et al. https://doi.org/10.5281/zenodo.5720866

Short summary

We present results from using soil water content measurements from 13 European forest sites in a state-of-the-art land surface model. We use data assimilation to perform a combination of observed and modeled soil water content and show the improvements in the representation of soil water content. However, we also look at the impact on evapotranspiration and see no corresponding improvements.