Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project)

[Dataset generated in Subtask 2.3.1 of the H2020 EuroSea project] H2020 EuroSea project: The H2020 EuroSea project aims at improving and integrating the European Ocean Observing and Forecasting System (see official website: https://eurosea.eu/). It has received funding from the European Union’s Hori...

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Main Authors: Barceló-Llull, Bàrbara, Pascual, Ananda, Albert, Aurélie
Other Authors: European Commission
Format: Dataset
Language:English
Published: Zenodo 2022
Subjects:
Online Access:http://hdl.handle.net/10261/353697
https://doi.org/10.5281/zenodo.6798018
id ftcsic:oai:digital.csic.es:10261/353697
record_format openpolar
spelling ftcsic:oai:digital.csic.es:10261/353697 2024-05-12T08:08:39+00:00 Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project) Barceló-Llull, Bàrbara Pascual, Ananda Albert, Aurélie European Commission Barceló-Llull, Bàrbara 2022-07-05 http://hdl.handle.net/10261/353697 https://doi.org/10.5281/zenodo.6798018 en eng Zenodo #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/862626 Barceló-Llull, Bàrbara; Pascual, Ananda. Recommendations for the design of in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission. https://doi.org/10.3389/fmars.2023.1082978 . http://hdl.handle.net/10261/353484 Sí Barceló-Llull, Bàrbara; Pascual, Ananda; 2022; Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project) [Dataset]; Zenodo; Version 1.0; https://doi.org/10.5281/zenodo.6798018 http://hdl.handle.net/10261/353697 doi:10.5281/zenodo.6798018 open Physical oceanography Atlantic dataset 2022 ftcsic https://doi.org/10.5281/zenodo.679801810.3389/fmars.2023.1082978 2024-04-17T14:04:07Z [Dataset generated in Subtask 2.3.1 of the H2020 EuroSea project] H2020 EuroSea project: The H2020 EuroSea project aims at improving and integrating the European Ocean Observing and Forecasting System (see official website: https://eurosea.eu/). It has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862626). Task 2.3: Task 2.3 has the objective to improve the design of multi-platform experiments aimed to validate the Surface Water and Ocean Topography (SWOT) satellite observations with the goal to optimize the utility of these observing platforms. Observing System Simulation Experiments (OSSEs) have been conducted to evaluate different configurations of the in situ observing system, including rosette and underway CTD, gliders, conventional satellite nadir altimetry and velocities from drifters. High-resolution models have been used to simulate the observations and to represent the “ocean truth”. Several methods of reconstruction have been tested: spatio-temporal optimal interpolation, machine-learning techniques, model data assimilation and the MIOST tool. The planned OSSEs are detailed in this public report Barceló-Llull et al. (2020) and the complete analysis is available here Barceló-Llull et al. (2022). Contributors to Task 2.3 are CSIC (Spain), CLS (France), SOCIB (Spain), IMT-Atlantique (France) and Ocean-Next (France). Subtask 2.3.1: Subtask 2.3.1 aims to evaluate different in situ sampling strategies to reconstruct fine-scale ocean currents (~20 km) in the context of SWOT. An advanced version of the classic optimal interpolation used in field experiments, which considers the spatial and temporal variability of the observations, has been applied to reconstruct different configurations with the objective to evaluate the best sampling strategy to validate SWOT. Where? The analysis focuses on two regions of interest: (i) the western Mediterranean Sea and (ii) the Subpolar North West Atlantic. In the western Mediterranean Sea, the target area ... Dataset North West Atlantic Digital.CSIC (Spanish National Research Council)
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language English
topic Physical oceanography
Atlantic
spellingShingle Physical oceanography
Atlantic
Barceló-Llull, Bàrbara
Pascual, Ananda
Albert, Aurélie
Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project)
topic_facet Physical oceanography
Atlantic
description [Dataset generated in Subtask 2.3.1 of the H2020 EuroSea project] H2020 EuroSea project: The H2020 EuroSea project aims at improving and integrating the European Ocean Observing and Forecasting System (see official website: https://eurosea.eu/). It has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862626). Task 2.3: Task 2.3 has the objective to improve the design of multi-platform experiments aimed to validate the Surface Water and Ocean Topography (SWOT) satellite observations with the goal to optimize the utility of these observing platforms. Observing System Simulation Experiments (OSSEs) have been conducted to evaluate different configurations of the in situ observing system, including rosette and underway CTD, gliders, conventional satellite nadir altimetry and velocities from drifters. High-resolution models have been used to simulate the observations and to represent the “ocean truth”. Several methods of reconstruction have been tested: spatio-temporal optimal interpolation, machine-learning techniques, model data assimilation and the MIOST tool. The planned OSSEs are detailed in this public report Barceló-Llull et al. (2020) and the complete analysis is available here Barceló-Llull et al. (2022). Contributors to Task 2.3 are CSIC (Spain), CLS (France), SOCIB (Spain), IMT-Atlantique (France) and Ocean-Next (France). Subtask 2.3.1: Subtask 2.3.1 aims to evaluate different in situ sampling strategies to reconstruct fine-scale ocean currents (~20 km) in the context of SWOT. An advanced version of the classic optimal interpolation used in field experiments, which considers the spatial and temporal variability of the observations, has been applied to reconstruct different configurations with the objective to evaluate the best sampling strategy to validate SWOT. Where? The analysis focuses on two regions of interest: (i) the western Mediterranean Sea and (ii) the Subpolar North West Atlantic. In the western Mediterranean Sea, the target area ...
author2 European Commission
Barceló-Llull, Bàrbara
format Dataset
author Barceló-Llull, Bàrbara
Pascual, Ananda
Albert, Aurélie
author_facet Barceló-Llull, Bàrbara
Pascual, Ananda
Albert, Aurélie
author_sort Barceló-Llull, Bàrbara
title Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project)
title_short Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project)
title_full Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project)
title_fullStr Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project)
title_full_unstemmed Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project)
title_sort dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of swot satellite mission (h2020 eurosea project)
publisher Zenodo
publishDate 2022
url http://hdl.handle.net/10261/353697
https://doi.org/10.5281/zenodo.6798018
genre North West Atlantic
genre_facet North West Atlantic
op_relation #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/862626
Barceló-Llull, Bàrbara; Pascual, Ananda. Recommendations for the design of in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission. https://doi.org/10.3389/fmars.2023.1082978 . http://hdl.handle.net/10261/353484

Barceló-Llull, Bàrbara; Pascual, Ananda; 2022; Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project) [Dataset]; Zenodo; Version 1.0; https://doi.org/10.5281/zenodo.6798018
http://hdl.handle.net/10261/353697
doi:10.5281/zenodo.6798018
op_rights open
op_doi https://doi.org/10.5281/zenodo.679801810.3389/fmars.2023.1082978
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