Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 395–411, 2022
https://doi.org/10.5194/gmd-15-395-2022
Geosci. Model Dev., 15, 395–411, 2022
https://doi.org/10.5194/gmd-15-395-2022
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 et al.

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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.