Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data
We investigated the impact of assimilating a mapped dataset of subsurface ocean currents into an ocean state estimation. We carried out two global ocean state estimations from 2000 to 2007 using the K7 four-dimensional variational data synthesis system, one of which included an additional map of cli...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/975618 |
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| author | Shuhei Masuda Nozomi Sugiura Satoshi Osafune Toshimasa Doi |
| author_facet | Shuhei Masuda Nozomi Sugiura Satoshi Osafune Toshimasa Doi |
| author_sort | Shuhei Masuda |
| collection | DOAJ |
| description | We investigated the impact of assimilating a mapped dataset of subsurface ocean currents into an ocean state estimation. We carried out two global ocean state estimations from 2000 to 2007 using the K7 four-dimensional variational data synthesis system, one of which included an additional map of climatological geostrophic currents estimated from the global set of Argo floats. We assessed the representativeness of the volume transport in the two exercises. The assimilation of Argo ocean current data at only one level, 1000 dbar depth, had subtle impacts on the estimated volume transports, which were strongest in the subtropical North Pacific. The corrections at 10°N, where the impact was most notable, arose through the nearly complete offset of wind stress curl by the data synthesis system in conjunction with the first mode baroclinic Rossby wave adjustment. Our results imply that subsurface current data can be effective for improving the estimation of global oceanic circulation by a data synthesis. |
| format | Article |
| id | doaj-art-97d1c96421c94519ae0d4e6359a61ed9 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-97d1c96421c94519ae0d4e6359a61ed92025-02-03T06:05:58ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/975618975618Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift DataShuhei Masuda0Nozomi Sugiura1Satoshi Osafune2Toshimasa Doi3Research and Development Center for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Natsushima 2-15, Yokosuka, Kanagawa 237-0061, JapanResearch and Development Center for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Natsushima 2-15, Yokosuka, Kanagawa 237-0061, JapanResearch and Development Center for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Natsushima 2-15, Yokosuka, Kanagawa 237-0061, JapanResearch and Development Center for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Natsushima 2-15, Yokosuka, Kanagawa 237-0061, JapanWe investigated the impact of assimilating a mapped dataset of subsurface ocean currents into an ocean state estimation. We carried out two global ocean state estimations from 2000 to 2007 using the K7 four-dimensional variational data synthesis system, one of which included an additional map of climatological geostrophic currents estimated from the global set of Argo floats. We assessed the representativeness of the volume transport in the two exercises. The assimilation of Argo ocean current data at only one level, 1000 dbar depth, had subtle impacts on the estimated volume transports, which were strongest in the subtropical North Pacific. The corrections at 10°N, where the impact was most notable, arose through the nearly complete offset of wind stress curl by the data synthesis system in conjunction with the first mode baroclinic Rossby wave adjustment. Our results imply that subsurface current data can be effective for improving the estimation of global oceanic circulation by a data synthesis.http://dx.doi.org/10.1155/2014/975618 |
| spellingShingle | Shuhei Masuda Nozomi Sugiura Satoshi Osafune Toshimasa Doi Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data The Scientific World Journal |
| title | Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data |
| title_full | Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data |
| title_fullStr | Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data |
| title_full_unstemmed | Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data |
| title_short | Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data |
| title_sort | improvement of ocean state estimation by assimilating mapped argo drift data |
| url | http://dx.doi.org/10.1155/2014/975618 |
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