Diagnosis of physical and biological control over phytoplankton in the Gulf of Maine-Georges Bank region using an adjoint data assimilation approach
The linkage between physical and biological processes, particularly the effect of the circulation field on the distribution of phytoplankton, is studied by applying a two-dimensional model and an adjoint data assimilation approach to the Gulf of Maine-Georges Bank region. The model results, comparin...
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| Format: | Article |
| Language: | English |
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Science Press/Springer Nature
2016
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| Online Access: | http://hdl.handle.net/1721.1/104808 https://orcid.org/0000-0003-2431-6838 |
| _version_ | 1826206100046741504 |
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| author | Wang, Caixia Rizzoli, Paola M |
| author2 | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Wang, Caixia Rizzoli, Paola M |
| author_sort | Wang, Caixia |
| collection | MIT |
| description | The linkage between physical and biological processes, particularly the effect of the circulation field on the distribution of phytoplankton, is studied by applying a two-dimensional model and an adjoint data assimilation approach to the Gulf of Maine-Georges Bank region. The model results, comparing well with observation data, reveal seasonal and geographic variations of phytoplankton concentration and verify that the seasonal cycles of phytoplankton are controlled by both biological sources and advection processes which are functions of space and time and counterbalance each other. Although advective flux divergences have greater magnitudes on Georges Bank than in the coastal region of the western Gulf of Maine, advection control over phytoplankton concentration is more significant in the coastal region of the western Gulf of Maine. The model results also suggest that the two separated populations in the coastal regions of the western Gulf of Maine and on Georges Bank are self-sustaining. |
| first_indexed | 2024-09-23T13:24:05Z |
| format | Article |
| id | mit-1721.1/104808 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:24:05Z |
| publishDate | 2016 |
| publisher | Science Press/Springer Nature |
| record_format | dspace |
| spelling | mit-1721.1/1048082022-10-01T15:03:27Z Diagnosis of physical and biological control over phytoplankton in the Gulf of Maine-Georges Bank region using an adjoint data assimilation approach Wang, Caixia Rizzoli, Paola M Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Rizzoli, Paola M The linkage between physical and biological processes, particularly the effect of the circulation field on the distribution of phytoplankton, is studied by applying a two-dimensional model and an adjoint data assimilation approach to the Gulf of Maine-Georges Bank region. The model results, comparing well with observation data, reveal seasonal and geographic variations of phytoplankton concentration and verify that the seasonal cycles of phytoplankton are controlled by both biological sources and advection processes which are functions of space and time and counterbalance each other. Although advective flux divergences have greater magnitudes on Georges Bank than in the coastal region of the western Gulf of Maine, advection control over phytoplankton concentration is more significant in the coastal region of the western Gulf of Maine. The model results also suggest that the two separated populations in the coastal regions of the western Gulf of Maine and on Georges Bank are self-sustaining. Shandong Sheng (China) (Shandong Young and Middle-Aged Scientists Research Award, grant BS2011HZ021) 2016-10-13T20:46:45Z 2016-10-13T20:46:45Z 2014-05 2012-06 2016-08-18T15:41:00Z Article http://purl.org/eprint/type/JournalArticle 1672-5182 1993-5021 http://hdl.handle.net/1721.1/104808 Wang, Caixia, and Paola Malanotte-Rizzoli. “Diagnosis of Physical and Biological Control over Phytoplankton in the Gulf of Maine-Georges Bank Region Using an Adjoint Data Assimilation Approach.” Journal of Ocean University of China 13, no. 3 (May 10, 2014): 356–368. https://orcid.org/0000-0003-2431-6838 en http://dx.doi.org/10.1007/s11802-014-1995-9 Journal of Ocean University of China Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Science Press, Ocean University of China and Springer-Verlag Berlin Heidelberg application/pdf Science Press/Springer Nature Science Press |
| spellingShingle | Wang, Caixia Rizzoli, Paola M Diagnosis of physical and biological control over phytoplankton in the Gulf of Maine-Georges Bank region using an adjoint data assimilation approach |
| title | Diagnosis of physical and biological control over phytoplankton in the Gulf of Maine-Georges Bank region using an adjoint data assimilation approach |
| title_full | Diagnosis of physical and biological control over phytoplankton in the Gulf of Maine-Georges Bank region using an adjoint data assimilation approach |
| title_fullStr | Diagnosis of physical and biological control over phytoplankton in the Gulf of Maine-Georges Bank region using an adjoint data assimilation approach |
| title_full_unstemmed | Diagnosis of physical and biological control over phytoplankton in the Gulf of Maine-Georges Bank region using an adjoint data assimilation approach |
| title_short | Diagnosis of physical and biological control over phytoplankton in the Gulf of Maine-Georges Bank region using an adjoint data assimilation approach |
| title_sort | diagnosis of physical and biological control over phytoplankton in the gulf of maine georges bank region using an adjoint data assimilation approach |
| url | http://hdl.handle.net/1721.1/104808 https://orcid.org/0000-0003-2431-6838 |
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