Articles | Volume 19, issue 10
Biogeosciences, 19, 2557–2581, 2022
https://doi.org/10.5194/bg-19-2557-2022

Special issue: Microwave remote sensing for improved understanding of vegetation–water...

Biogeosciences, 19, 2557–2581, 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 et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2021-248', Anonymous Referee #1, 30 Oct 2021
  • RC2: 'Comment on bg-2021-248', Anonymous Referee #2, 06 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (14 Dec 2021) by Matthias Forkel
ED: Reconsider after major revisions (16 Dec 2021) by Trevor Keenan(Co-Editor-in-Chief)
AR by Jean-Christophe Calvet on behalf of the Authors (19 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (26 Jan 2022) by Matthias Forkel
RR by Anonymous Referee #1 (31 Jan 2022)
ED: Publish subject to minor revisions (review by editor) (03 Mar 2022) by Matthias Forkel
ED: Publish subject to minor revisions (review by editor) (04 Mar 2022) by Trevor Keenan(Co-Editor-in-Chief)
AR by Jean-Christophe Calvet on behalf of the Authors (21 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (03 Apr 2022) by Matthias Forkel
ED: Publish as is (11 Apr 2022) by Trevor Keenan(Co-Editor-in-Chief)
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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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