Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields
The coupled ocean circulation‐ecosystem model MITgcm‐REcoM2 is used to simulate biogeochemical variables in a global configuration. The ecosystem model REcoM2 simulates two phytoplankton groups, diatoms and small phytoplankton, using a quota formulation with variable carbon, nitrogen, and chlorophyl...
Published in: | Journal of Geophysical Research: Oceans |
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ftawi:oai:epic.awi.de:49074 2024-09-15T18:37:19+00:00 Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields Pradhan, Himansu Kesari Voelker, Christoph Bracher, Astrid Losa, Svetlana N. Nerger, Lars 2019-01-21 application/pdf https://epic.awi.de/id/eprint/49074/ https://epic.awi.de/id/eprint/49074/1/Pradhan_et_al-2019-Journal_of_Geophysical_Research__Oceans.pdf https://hdl.handle.net/10013/epic.88e8fbd5-1c8e-450f-a7a4-47d68495278f unknown https://epic.awi.de/id/eprint/49074/1/Pradhan_et_al-2019-Journal_of_Geophysical_Research__Oceans.pdf Pradhan, H. K. orcid:0000-0002-5642-8490 , Voelker, C. orcid:0000-0003-3032-114X , Bracher, A. orcid:0000-0003-3025-5517 , Losa, S. N. orcid:0000-0003-2153-1954 and Nerger, L. orcid:0000-0002-1908-1010 (2019) Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields , Journal of Geophysical Research: Oceans, 124 , pp. 470-490 . doi:10.1029/2018JC014329 <https://doi.org/10.1029/2018JC014329> , hdl:10013/epic.88e8fbd5-1c8e-450f-a7a4-47d68495278f EPIC3Journal of Geophysical Research: Oceans, 124, pp. 470-490 Article isiRev 2019 ftawi https://doi.org/10.1029/2018JC014329 2024-06-24T04:21:00Z The coupled ocean circulation‐ecosystem model MITgcm‐REcoM2 is used to simulate biogeochemical variables in a global configuration. The ecosystem model REcoM2 simulates two phytoplankton groups, diatoms and small phytoplankton, using a quota formulation with variable carbon, nitrogen, and chlorophyll contents of the cells. To improve the simulation of the phytoplankton variables, chlorophyll‐a data from the European Space Agency Ocean‐Color Climate Change Initiative (OC‐CCI) for 2008 and 2009 are assimilated with an ensemble Kalman filter. Utilizing the multivariate cross covariances estimated by the model ensemble, the assimilation constrains all model variables describing the two phytoplankton groups. Evaluating the assimilation results against the satellite data product SynSenPFT shows an improvement of total chlorophyll and more importantly of individual phytoplankton groups. The assimilation improves both phytoplankton groups in the tropical and midlatitude regions, whereas the assimilation has a mixed response in the high‐latitude regions. Diatoms are most improved in the major ocean basins, whereas small phytoplankton show small deteriorations in the Southern Ocean. The improvement of diatoms is larger when the multivariate assimilation is computed using the ensemble‐estimated cross covariances between total chlorophyll and the phytoplankton groups than when the groups are updated so that their ratio to total chlorophyll is preserved. The comparison with in situ observations shows that the correlation of the simulated chlorophyll of both phytoplankton groups with these data is increased whereas the bias and error are decreased. Overall, the multivariate assimilation of total chlorophyll modifies the two phytoplankton groups separately, even though the sum of their individual chlorophyll concentrations represents the total chlorophyll. Article in Journal/Newspaper Southern Ocean Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Journal of Geophysical Research: Oceans 124 1 470 490 |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
unknown |
description |
The coupled ocean circulation‐ecosystem model MITgcm‐REcoM2 is used to simulate biogeochemical variables in a global configuration. The ecosystem model REcoM2 simulates two phytoplankton groups, diatoms and small phytoplankton, using a quota formulation with variable carbon, nitrogen, and chlorophyll contents of the cells. To improve the simulation of the phytoplankton variables, chlorophyll‐a data from the European Space Agency Ocean‐Color Climate Change Initiative (OC‐CCI) for 2008 and 2009 are assimilated with an ensemble Kalman filter. Utilizing the multivariate cross covariances estimated by the model ensemble, the assimilation constrains all model variables describing the two phytoplankton groups. Evaluating the assimilation results against the satellite data product SynSenPFT shows an improvement of total chlorophyll and more importantly of individual phytoplankton groups. The assimilation improves both phytoplankton groups in the tropical and midlatitude regions, whereas the assimilation has a mixed response in the high‐latitude regions. Diatoms are most improved in the major ocean basins, whereas small phytoplankton show small deteriorations in the Southern Ocean. The improvement of diatoms is larger when the multivariate assimilation is computed using the ensemble‐estimated cross covariances between total chlorophyll and the phytoplankton groups than when the groups are updated so that their ratio to total chlorophyll is preserved. The comparison with in situ observations shows that the correlation of the simulated chlorophyll of both phytoplankton groups with these data is increased whereas the bias and error are decreased. Overall, the multivariate assimilation of total chlorophyll modifies the two phytoplankton groups separately, even though the sum of their individual chlorophyll concentrations represents the total chlorophyll. |
format |
Article in Journal/Newspaper |
author |
Pradhan, Himansu Kesari Voelker, Christoph Bracher, Astrid Losa, Svetlana N. Nerger, Lars |
spellingShingle |
Pradhan, Himansu Kesari Voelker, Christoph Bracher, Astrid Losa, Svetlana N. Nerger, Lars Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields |
author_facet |
Pradhan, Himansu Kesari Voelker, Christoph Bracher, Astrid Losa, Svetlana N. Nerger, Lars |
author_sort |
Pradhan, Himansu Kesari |
title |
Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields |
title_short |
Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields |
title_full |
Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields |
title_fullStr |
Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields |
title_full_unstemmed |
Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields |
title_sort |
assimilation of global total chlorophyll oc‐cci data and its impact on individual phytoplankton fields |
publishDate |
2019 |
url |
https://epic.awi.de/id/eprint/49074/ https://epic.awi.de/id/eprint/49074/1/Pradhan_et_al-2019-Journal_of_Geophysical_Research__Oceans.pdf https://hdl.handle.net/10013/epic.88e8fbd5-1c8e-450f-a7a4-47d68495278f |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
EPIC3Journal of Geophysical Research: Oceans, 124, pp. 470-490 |
op_relation |
https://epic.awi.de/id/eprint/49074/1/Pradhan_et_al-2019-Journal_of_Geophysical_Research__Oceans.pdf Pradhan, H. K. orcid:0000-0002-5642-8490 , Voelker, C. orcid:0000-0003-3032-114X , Bracher, A. orcid:0000-0003-3025-5517 , Losa, S. N. orcid:0000-0003-2153-1954 and Nerger, L. orcid:0000-0002-1908-1010 (2019) Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields , Journal of Geophysical Research: Oceans, 124 , pp. 470-490 . doi:10.1029/2018JC014329 <https://doi.org/10.1029/2018JC014329> , hdl:10013/epic.88e8fbd5-1c8e-450f-a7a4-47d68495278f |
op_doi |
https://doi.org/10.1029/2018JC014329 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
124 |
container_issue |
1 |
container_start_page |
470 |
op_container_end_page |
490 |
_version_ |
1810481678419755008 |