Articles | Volume 19, issue 10
https://doi.org/10.5194/bg-19-2557-2022
https://doi.org/10.5194/bg-19-2557-2022
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

Viewed

Total article views: 3,452 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,795 597 60 3,452 132 45 48
  • HTML: 2,795
  • PDF: 597
  • XML: 60
  • Total: 3,452
  • Supplement: 132
  • BibTeX: 45
  • EndNote: 48
Views and downloads (calculated since 22 Sep 2021)
Cumulative views and downloads (calculated since 22 Sep 2021)

Viewed (geographical distribution)

Total article views: 3,452 (including HTML, PDF, and XML) Thereof 3,338 with geography defined and 114 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Nov 2024
Download
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.
Altmetrics
Final-revised paper
Preprint