Coupling the Community Land Model version 5.0 to the parallel data assimilation framework PDAF: description and applications

Strebel, Lukas; Bogena, Heye R.; Vereecken, Harry; Hendricks Franssen, Harrie-Jan

doi:https://doi.org/10.5194/gmd-15-395-2022

Articles | Volume 15, issue 2

https://doi.org/10.5194/gmd-15-395-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-395-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 2

Development and technical paper

|

18 Jan 2022

Development and technical paper |

| 18 Jan 2022

Coupling the Community Land Model version 5.0 to the parallel data assimilation framework PDAF: description and applications

Lukas Strebel, Heye R. Bogena, Harry Vereecken, and Harrie-Jan Hendricks Franssen

Model code and software

lstrebel/TSMP: CLM5+PDAF with helper scripts (CLM5+PDAF-with_helper_scripts) Lukas Strebel, Heye R. Bogena, Harry Vereecken, and Harrie-Jan Hendricks Franssen https://doi.org/10.5281/zenodo.5720866

Short summary

We present the technical coupling between a land surface model (CLM5) and the Parallel Data Assimilation Framework (PDAF). This coupling enables measurement data to update simulated model states and parameters in a statistically optimal way. We demonstrate the viability of the model framework using an application in a forested catchment where the inclusion of soil water measurements significantly improved the simulation quality.