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Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/bg-19-2557-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/bg-19-2557-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
Research article
 | 
19 May 2022
Research article |  | 19 May 2022

Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA

Anthony Mucia, Bertrand Bonan, Clément Albergel, Yongjun Zheng, and Jean-Christophe Calvet

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Short summary
For the first time, microwave vegetation optical depth data are assimilated in a land surface model in order to analyze leaf area index and root zone soil moisture. The advantage of microwave products is the higher observation frequency. A large variety of independent datasets are used to verify the added value of the assimilation. It is shown that the assimilation is able to improve the representation of soil moisture, vegetation conditions, and terrestrial water and carbon fluxes.
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Microwave remote sensing for improved understanding of vegetation–water...
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