Validation of the SatGEM Velocity Dataset using Argo Data ...
The 4D SatGEM velocity model of the Southern Ocean has been derived from satellite altimetry and a Gravest Empirical Mode (GEM) model of temperature and salinity. The validity of the SatGEM model is assessed in this study by numerical forward modelling of Argo float trajectories through the 4D veloc...
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University Of Tasmania
2023
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ftdatacite:10.25959/23237717.v1 2023-06-11T04:16:57+02:00 Validation of the SatGEM Velocity Dataset using Argo Data ... Roach, Christopher 2023 https://dx.doi.org/10.25959/23237717.v1 https://figshare.utas.edu.au/articles/thesis/Validation_of_the_SatGEM_Velocity_Dataset_using_Argo_Data/23237717/1 unknown University Of Tasmania https://dx.doi.org/10.25959/23237717 In Copyright http://rightsstatements.org/vocab/InC/1.0/ article-journal Text ScholarlyArticle Thesis 2023 ftdatacite https://doi.org/10.25959/23237717.v110.25959/23237717 2023-06-01T12:12:46Z The 4D SatGEM velocity model of the Southern Ocean has been derived from satellite altimetry and a Gravest Empirical Mode (GEM) model of temperature and salinity. The validity of the SatGEM model is assessed in this study by numerical forward modelling of Argo float trajectories through the 4D velocity fields. Univariate statistical analysis of simulated and actual path lengths, together with analysis of the misfit between simulated and actual surfacing positions, suggests that the SatGEM model provides an adequate representation of the gross features of the Southern Ocean. However, on a local scale there is significant variability in misfit due to a combination of statistical fluctuations, the limited SatGEM model resolution and complex local velocity fields. A high proportion of large relative misfit cycles are apparent for short Argo path lengths suggesting that the Argo float trajectories in these areas may be strongly influenced by complex small-scale flow features that cannot be adequately resolved in ... Thesis Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Southern Ocean |
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DataCite Metadata Store (German National Library of Science and Technology) |
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description |
The 4D SatGEM velocity model of the Southern Ocean has been derived from satellite altimetry and a Gravest Empirical Mode (GEM) model of temperature and salinity. The validity of the SatGEM model is assessed in this study by numerical forward modelling of Argo float trajectories through the 4D velocity fields. Univariate statistical analysis of simulated and actual path lengths, together with analysis of the misfit between simulated and actual surfacing positions, suggests that the SatGEM model provides an adequate representation of the gross features of the Southern Ocean. However, on a local scale there is significant variability in misfit due to a combination of statistical fluctuations, the limited SatGEM model resolution and complex local velocity fields. A high proportion of large relative misfit cycles are apparent for short Argo path lengths suggesting that the Argo float trajectories in these areas may be strongly influenced by complex small-scale flow features that cannot be adequately resolved in ... |
format |
Thesis |
author |
Roach, Christopher |
spellingShingle |
Roach, Christopher Validation of the SatGEM Velocity Dataset using Argo Data ... |
author_facet |
Roach, Christopher |
author_sort |
Roach, Christopher |
title |
Validation of the SatGEM Velocity Dataset using Argo Data ... |
title_short |
Validation of the SatGEM Velocity Dataset using Argo Data ... |
title_full |
Validation of the SatGEM Velocity Dataset using Argo Data ... |
title_fullStr |
Validation of the SatGEM Velocity Dataset using Argo Data ... |
title_full_unstemmed |
Validation of the SatGEM Velocity Dataset using Argo Data ... |
title_sort |
validation of the satgem velocity dataset using argo data ... |
publisher |
University Of Tasmania |
publishDate |
2023 |
url |
https://dx.doi.org/10.25959/23237717.v1 https://figshare.utas.edu.au/articles/thesis/Validation_of_the_SatGEM_Velocity_Dataset_using_Argo_Data/23237717/1 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
https://dx.doi.org/10.25959/23237717 |
op_rights |
In Copyright http://rightsstatements.org/vocab/InC/1.0/ |
op_doi |
https://doi.org/10.25959/23237717.v110.25959/23237717 |
_version_ |
1768375665161142272 |