Comparison of different sequential assimilation algorithms for satellite-derived leaf area index using the Data Assimilation Research Testbed (version Lanai)

Ling, Xiao-Lu; Fu, Cong-Bin; Yang, Zong-Liang; Guo, Wei-Dong

doi:https://doi.org/10.5194/gmd-12-3119-2019

Articles | Volume 12, issue 7

https://doi.org/10.5194/gmd-12-3119-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-3119-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 7

Development and technical paper

|

22 Jul 2019

Development and technical paper |

| 22 Jul 2019

Comparison of different sequential assimilation algorithms for satellite-derived leaf area index using the Data Assimilation Research Testbed (version Lanai)

Xiao-Lu Ling, Cong-Bin Fu, Zong-Liang Yang, and Wei-Dong Guo

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Final revised paper (published on 22 Jul 2019)
Preprint (discussion started on 03 Jan 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'major revision', Anonymous Referee #1, 25 Feb 2019
- AC1: 'Response to Referee #1', XIAOLU LING, 11 May 2019
- AC3: 'Response to Referee #1_version 2 (please check this version instead of the former one)', XIAOLU LING, 11 May 2019
RC2: 'Review on “Comparison of different sequential assimilation algorithms for satellite-derived Leaf Area Index using the Data Assimilation Research Testbed (lanai)”', Anonymous Referee #2, 25 Mar 2019
- AC2: 'Response to Referee #2', XIAOLU LING, 11 May 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by XIAOLU LING on behalf of the Authors (11 May 2019) Manuscript

ED: Referee Nomination & Report Request started (24 May 2019) by Carlos Sierra

RR by Anonymous Referee #2 (02 Jun 2019)

ED: Publish subject to minor revisions (review by editor) (03 Jun 2019) by Carlos Sierra

AR by XIAOLU LING on behalf of the Authors (12 Jun 2019)

ED: Publish as is (17 Jun 2019) by Carlos Sierra

AR by XIAOLU LING on behalf of the Authors (25 Jun 2019) Manuscript

Short summary

Observation and simulation can provide the temporal and spatial variation of vegetation characteristics, while they are not satisfactory for understanding the mechanism of the exchange between ecosystems and atmosphere. Data assimilation (DA) can combine the observation and models via mathematical statistical analysis. Results show that the ensemble adjust Kalman filter (EAKF) is the optimal algorithm. In addition, models perform better when the DA accepts a higher proportion of observations.