Articles | Volume 14, issue 8
Geosci. Model Dev., 14, 4939–4975, 2021
https://doi.org/10.5194/gmd-14-4939-2021
Geosci. Model Dev., 14, 4939–4975, 2021
https://doi.org/10.5194/gmd-14-4939-2021

Development and technical paper 12 Aug 2021

Development and technical paper | 12 Aug 2021

WAP-1D-VAR v1.0: development and evaluation of a one-dimensional variational data assimilation model for the marine ecosystem along the West Antarctic Peninsula

Hyewon Heather Kim 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: 'manuscript review', Anonymous Referee #1, 17 Mar 2021
  • RC2: 'Comment on gmd-2020-375', Anonymous Referee #2, 17 Mar 2021
  • AC1: 'Final Author Comments for gmd-2020-375', Hyewon Kim, 28 Apr 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Hyewon Kim on behalf of the Authors (28 Apr 2021)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (10 May 2021) by Heiko Goelzer
RR by Anonymous Referee #1 (21 May 2021)
ED: Publish subject to minor revisions (review by editor) (02 Jun 2021) by Heiko Goelzer
AR by Hyewon Kim on behalf of the Authors (09 Jun 2021)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (10 Jun 2021) by Heiko Goelzer
AR by Hyewon Kim on behalf of the Authors (14 Jun 2021)  Author's response    Manuscript
ED: Publish as is (21 Jun 2021) by Heiko Goelzer

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Hyewon Kim on behalf of the Authors (03 Aug 2021)   Author's adjustment   Manuscript
EA: Adjustments approved (09 Aug 2021) by Heiko Goelzer
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Short summary
The West Antarctic Peninsula (WAP) is a rapidly warming region, revealed by multi-decadal observations. Despite the region being data rich, there is a lack of focus on ecosystem model development. Here, we introduce a data assimilation ecosystem model for the WAP region. Experiments by assimilating data from an example growth season capture key WAP features. This study enables us to glue the snapshots from available data sets together to explain the observations in the WAP.