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Validation of satellite-based sea surface temperature products against in situ observations off the western coast of Sumatra
This study validated the sea surface temperature (SST) datasets from the Group for High-Resolution SST Multi Product Ensemble (GMPE), National Oceanic and Atmospheric Administration (NOAA) Optimal Interpolation (OI) SST version 2 and 2.1 (OIv2 and OIv2.1), and Estimating the Circulation and Climate...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741897/ https://www.ncbi.nlm.nih.gov/pubmed/34997103 http://dx.doi.org/10.1038/s41598-021-04156-0 |
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author | Moteki, Qoosaku |
author_facet | Moteki, Qoosaku |
author_sort | Moteki, Qoosaku |
collection | PubMed |
description | This study validated the sea surface temperature (SST) datasets from the Group for High-Resolution SST Multi Product Ensemble (GMPE), National Oceanic and Atmospheric Administration (NOAA) Optimal Interpolation (OI) SST version 2 and 2.1 (OIv2 and OIv2.1), and Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2) in the area off the western coast of Sumatra against in situ observations. Furthermore, the root mean square differences (RMSDs) of OIv2, OIv2.1, and ECCO2 were investigated with respect to GMPE, whose small RMSD < 0.2 K against in situ observations confirmed its suitability as a reference. Although OIv2 showed a large RMSD (1–1.5 K) with a significant negative bias, OIv2.1 (RMSD < 0.4 K) improved remarkably. In the average SST distributions for December 2017, the differences among the 4 datasets were significant in the areas off the western coast of Sumatra, along the southern coast of Java, and in the Indonesian inland sea. These results were consistent with the ensemble spread distribution obtained with GMPE. The large RMSDs of OIv2 corresponded to high clouds, and it was suggested that the change in the satellites used for SST estimation contributed to the improvement in OIv2.1. |
format | Online Article Text |
id | pubmed-8741897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87418972022-01-10 Validation of satellite-based sea surface temperature products against in situ observations off the western coast of Sumatra Moteki, Qoosaku Sci Rep Article This study validated the sea surface temperature (SST) datasets from the Group for High-Resolution SST Multi Product Ensemble (GMPE), National Oceanic and Atmospheric Administration (NOAA) Optimal Interpolation (OI) SST version 2 and 2.1 (OIv2 and OIv2.1), and Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2) in the area off the western coast of Sumatra against in situ observations. Furthermore, the root mean square differences (RMSDs) of OIv2, OIv2.1, and ECCO2 were investigated with respect to GMPE, whose small RMSD < 0.2 K against in situ observations confirmed its suitability as a reference. Although OIv2 showed a large RMSD (1–1.5 K) with a significant negative bias, OIv2.1 (RMSD < 0.4 K) improved remarkably. In the average SST distributions for December 2017, the differences among the 4 datasets were significant in the areas off the western coast of Sumatra, along the southern coast of Java, and in the Indonesian inland sea. These results were consistent with the ensemble spread distribution obtained with GMPE. The large RMSDs of OIv2 corresponded to high clouds, and it was suggested that the change in the satellites used for SST estimation contributed to the improvement in OIv2.1. Nature Publishing Group UK 2022-01-07 /pmc/articles/PMC8741897/ /pubmed/34997103 http://dx.doi.org/10.1038/s41598-021-04156-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Moteki, Qoosaku Validation of satellite-based sea surface temperature products against in situ observations off the western coast of Sumatra |
title | Validation of satellite-based sea surface temperature products against in situ observations off the western coast of Sumatra |
title_full | Validation of satellite-based sea surface temperature products against in situ observations off the western coast of Sumatra |
title_fullStr | Validation of satellite-based sea surface temperature products against in situ observations off the western coast of Sumatra |
title_full_unstemmed | Validation of satellite-based sea surface temperature products against in situ observations off the western coast of Sumatra |
title_short | Validation of satellite-based sea surface temperature products against in situ observations off the western coast of Sumatra |
title_sort | validation of satellite-based sea surface temperature products against in situ observations off the western coast of sumatra |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741897/ https://www.ncbi.nlm.nih.gov/pubmed/34997103 http://dx.doi.org/10.1038/s41598-021-04156-0 |
work_keys_str_mv | AT motekiqoosaku validationofsatellitebasedseasurfacetemperatureproductsagainstinsituobservationsoffthewesterncoastofsumatra |