Articles | Volume 27, issue 22
https://doi.org/10.5194/hess-27-4087-2023
https://doi.org/10.5194/hess-27-4087-2023
Research article
 | 
14 Nov 2023
Research article |  | 14 Nov 2023

Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe

Samuel Scherrer, Gabriëlle De Lannoy, Zdenko Heyvaert, Michel Bechtold, Clement Albergel, Tarek S. El-Madany, and Wouter Dorigo

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Latest update: 12 Jun 2024
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Short summary
We explored different options for data assimilation (DA) of the remotely sensed leaf area index (LAI). We found strong biases between LAI predicted by Noah-MP and observations. LAI DA that does not take these biases into account can induce unphysical patterns in the resulting LAI and flux estimates and leads to large changes in the climatology of root zone soil moisture. We tested two bias-correction approaches and explored alternative solutions to treating bias in LAI DA.