Improving the Altimeter-Derived Surface Currents Using Sea Surface Temperature (SST) Data: A Sensitivity Study to SST Products
Measurements of ocean surface topography collected by satellite altimeters provide geostrophic estimates of the sea surface currents at relatively low resolution. The effective spatial and temporal resolution of these velocity estimates can be improved by optimally combining altimeter data with sequ...
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ftmdpi:oai:mdpi.com:/2072-4292/12/10/1601/ 2023-08-20T04:09:58+02:00 Improving the Altimeter-Derived Surface Currents Using Sea Surface Temperature (SST) Data: A Sensitivity Study to SST Products Daniele Ciani Marie-Hélène Rio Bruno Buongiorno Nardelli Hélène Etienne Rosalia Santoleri agris 2020-05-17 application/pdf https://doi.org/10.3390/rs12101601 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs12101601 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 10; Pages: 1601 sea surface temperature ocean currents altimetry earth observations synergy Text 2020 ftmdpi https://doi.org/10.3390/rs12101601 2023-07-31T23:30:51Z Measurements of ocean surface topography collected by satellite altimeters provide geostrophic estimates of the sea surface currents at relatively low resolution. The effective spatial and temporal resolution of these velocity estimates can be improved by optimally combining altimeter data with sequences of high resolution interpolated (Level 4) Sea Surface Temperature (SST) data, improving upon present-day values of approximately 100 km and 15 days at mid-latitudes. However, the combined altimeter/SST currents accuracy depends on the area and input SST data considered. Here, we present a comparative study based on three satellite-derived daily SST products: the Remote Sensing Systems (REMSS, 1/10 ∘ resolution), the UK Met Office OSTIA (1/20 ∘ resolution), and the Multiscale Ultra-High resolution SST (1/100 ∘ resolution). The accuracy of the marine currents computed with our synergistic approach is assessed by comparisons with in-situ estimated currents derived from a global network of drifting buoys. Using REMSS SST, the meridional currents improve up to more than 20% compared to simple altimeter estimates. The maximum global improvements for the zonal currents are obtained using OSTIA SST, and reach 6%. Using the OSTIA SST also results in slight improvements (≃1.3%) in the zonal flow estimated in the Southern Ocean (45 ∘ S to 70 ∘ S). The homogeneity of the input SST effective spatial resolution is identified as a crucial requirement for an accurate surface current reconstruction. In our analyses, this condition was best satisfied by the lower resolution SST products considered. Text Southern Ocean MDPI Open Access Publishing Southern Ocean Remote Sensing 12 10 1601 |
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MDPI Open Access Publishing |
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English |
topic |
sea surface temperature ocean currents altimetry earth observations synergy |
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sea surface temperature ocean currents altimetry earth observations synergy Daniele Ciani Marie-Hélène Rio Bruno Buongiorno Nardelli Hélène Etienne Rosalia Santoleri Improving the Altimeter-Derived Surface Currents Using Sea Surface Temperature (SST) Data: A Sensitivity Study to SST Products |
topic_facet |
sea surface temperature ocean currents altimetry earth observations synergy |
description |
Measurements of ocean surface topography collected by satellite altimeters provide geostrophic estimates of the sea surface currents at relatively low resolution. The effective spatial and temporal resolution of these velocity estimates can be improved by optimally combining altimeter data with sequences of high resolution interpolated (Level 4) Sea Surface Temperature (SST) data, improving upon present-day values of approximately 100 km and 15 days at mid-latitudes. However, the combined altimeter/SST currents accuracy depends on the area and input SST data considered. Here, we present a comparative study based on three satellite-derived daily SST products: the Remote Sensing Systems (REMSS, 1/10 ∘ resolution), the UK Met Office OSTIA (1/20 ∘ resolution), and the Multiscale Ultra-High resolution SST (1/100 ∘ resolution). The accuracy of the marine currents computed with our synergistic approach is assessed by comparisons with in-situ estimated currents derived from a global network of drifting buoys. Using REMSS SST, the meridional currents improve up to more than 20% compared to simple altimeter estimates. The maximum global improvements for the zonal currents are obtained using OSTIA SST, and reach 6%. Using the OSTIA SST also results in slight improvements (≃1.3%) in the zonal flow estimated in the Southern Ocean (45 ∘ S to 70 ∘ S). The homogeneity of the input SST effective spatial resolution is identified as a crucial requirement for an accurate surface current reconstruction. In our analyses, this condition was best satisfied by the lower resolution SST products considered. |
format |
Text |
author |
Daniele Ciani Marie-Hélène Rio Bruno Buongiorno Nardelli Hélène Etienne Rosalia Santoleri |
author_facet |
Daniele Ciani Marie-Hélène Rio Bruno Buongiorno Nardelli Hélène Etienne Rosalia Santoleri |
author_sort |
Daniele Ciani |
title |
Improving the Altimeter-Derived Surface Currents Using Sea Surface Temperature (SST) Data: A Sensitivity Study to SST Products |
title_short |
Improving the Altimeter-Derived Surface Currents Using Sea Surface Temperature (SST) Data: A Sensitivity Study to SST Products |
title_full |
Improving the Altimeter-Derived Surface Currents Using Sea Surface Temperature (SST) Data: A Sensitivity Study to SST Products |
title_fullStr |
Improving the Altimeter-Derived Surface Currents Using Sea Surface Temperature (SST) Data: A Sensitivity Study to SST Products |
title_full_unstemmed |
Improving the Altimeter-Derived Surface Currents Using Sea Surface Temperature (SST) Data: A Sensitivity Study to SST Products |
title_sort |
improving the altimeter-derived surface currents using sea surface temperature (sst) data: a sensitivity study to sst products |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12101601 |
op_coverage |
agris |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Remote Sensing; Volume 12; Issue 10; Pages: 1601 |
op_relation |
Ocean Remote Sensing https://dx.doi.org/10.3390/rs12101601 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12101601 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
10 |
container_start_page |
1601 |
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