The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses
The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system generates global, daily, gap-filled foundation sea surface temperature (SST) fields from satellite data and in situ observations. The SSTs have uncertainty information provided with them and an ice concentration (IC) analysi...
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ftmdpi:oai:mdpi.com:/2072-4292/12/4/720/ 2023-08-20T04:09:45+02:00 The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses Simon Good Emma Fiedler Chongyuan Mao Matthew J. Martin Adam Maycock Rebecca Reid Jonah Roberts-Jones Toby Searle Jennifer Waters James While Mark Worsfold agris 2020-02-21 application/pdf https://doi.org/10.3390/rs12040720 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs12040720 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 4; Pages: 720 sea surface temperature lake surface water temperature ice concentration satellite in situ Text 2020 ftmdpi https://doi.org/10.3390/rs12040720 2023-07-31T23:08:55Z The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system generates global, daily, gap-filled foundation sea surface temperature (SST) fields from satellite data and in situ observations. The SSTs have uncertainty information provided with them and an ice concentration (IC) analysis is also produced. Additionally, a global, hourly diurnal skin SST product is output each day. The system is run in near real time to produce data for use in applications such as numerical weather prediction. Data production is monitored routinely and outputs are available from the Copernicus Marine Environment Monitoring Service (CMEMS; marine.copernicus.eu). As an operational product, the OSTIA system is continuously under development. For example, since the original descriptor paper was published, the underlying data assimilation scheme that is used to generate the foundation SST analyses has been updated. Various publications have described these changes but a full description is not available in a single place. This technical note focuses on the production of the foundation SST and IC analyses by OSTIA and aims to provide a comprehensive description of the current system configuration. Text Sea ice MDPI Open Access Publishing Remote Sensing 12 4 720 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
sea surface temperature lake surface water temperature ice concentration satellite in situ |
spellingShingle |
sea surface temperature lake surface water temperature ice concentration satellite in situ Simon Good Emma Fiedler Chongyuan Mao Matthew J. Martin Adam Maycock Rebecca Reid Jonah Roberts-Jones Toby Searle Jennifer Waters James While Mark Worsfold The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses |
topic_facet |
sea surface temperature lake surface water temperature ice concentration satellite in situ |
description |
The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system generates global, daily, gap-filled foundation sea surface temperature (SST) fields from satellite data and in situ observations. The SSTs have uncertainty information provided with them and an ice concentration (IC) analysis is also produced. Additionally, a global, hourly diurnal skin SST product is output each day. The system is run in near real time to produce data for use in applications such as numerical weather prediction. Data production is monitored routinely and outputs are available from the Copernicus Marine Environment Monitoring Service (CMEMS; marine.copernicus.eu). As an operational product, the OSTIA system is continuously under development. For example, since the original descriptor paper was published, the underlying data assimilation scheme that is used to generate the foundation SST analyses has been updated. Various publications have described these changes but a full description is not available in a single place. This technical note focuses on the production of the foundation SST and IC analyses by OSTIA and aims to provide a comprehensive description of the current system configuration. |
format |
Text |
author |
Simon Good Emma Fiedler Chongyuan Mao Matthew J. Martin Adam Maycock Rebecca Reid Jonah Roberts-Jones Toby Searle Jennifer Waters James While Mark Worsfold |
author_facet |
Simon Good Emma Fiedler Chongyuan Mao Matthew J. Martin Adam Maycock Rebecca Reid Jonah Roberts-Jones Toby Searle Jennifer Waters James While Mark Worsfold |
author_sort |
Simon Good |
title |
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses |
title_short |
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses |
title_full |
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses |
title_fullStr |
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses |
title_full_unstemmed |
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses |
title_sort |
current configuration of the ostia system for operational production of foundation sea surface temperature and ice concentration analyses |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12040720 |
op_coverage |
agris |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Remote Sensing; Volume 12; Issue 4; Pages: 720 |
op_relation |
Ocean Remote Sensing https://dx.doi.org/10.3390/rs12040720 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12040720 |
container_title |
Remote Sensing |
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12 |
container_issue |
4 |
container_start_page |
720 |
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1774723407017934848 |