Dataset generated to evaluate in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission (H2020 EuroSea project)
Datasetgenerated 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 Horiz...
Main Authors: | , , , , , |
---|---|
Format: | Other/Unknown Material |
Language: | English |
Published: |
Zenodo
2022
|
Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.6798018 |
id |
ftzenodo:oai:zenodo.org:6798018 |
---|---|
record_format |
openpolar |
spelling |
ftzenodo:oai:zenodo.org:6798018 2024-09-15T18:25:06+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) Bàrbara Barceló-Llull Ananda Pascual Aurélie Albert Jaime Hernández-Lasheras Stephanie Leroux Baptiste Mourre 2022-07-05 https://doi.org/10.5281/zenodo.6798018 eng eng Zenodo https://doi.org/10.3289/eurosea_d2.3 https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.6798017 https://doi.org/10.5281/zenodo.6798018 oai:zenodo.org:6798018 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode physical oceanography ocean circulation mesoscale dynamics altimetry SWOT in situ sampling multi-platform experiments OSSEs Mediterranean Atlantic H2020 EuroSea project info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.679801810.3289/eurosea_d2.310.5281/zenodo.6798017 2024-07-26T13:16:23Z Datasetgenerated 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 toevaluate 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 is ... Other/Unknown Material North West Atlantic Zenodo |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
physical oceanography ocean circulation mesoscale dynamics altimetry SWOT in situ sampling multi-platform experiments OSSEs Mediterranean Atlantic H2020 EuroSea project |
spellingShingle |
physical oceanography ocean circulation mesoscale dynamics altimetry SWOT in situ sampling multi-platform experiments OSSEs Mediterranean Atlantic H2020 EuroSea project Bàrbara Barceló-Llull Ananda Pascual Aurélie Albert Jaime Hernández-Lasheras Stephanie Leroux Baptiste Mourre 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 ocean circulation mesoscale dynamics altimetry SWOT in situ sampling multi-platform experiments OSSEs Mediterranean Atlantic H2020 EuroSea project |
description |
Datasetgenerated 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 toevaluate 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 is ... |
format |
Other/Unknown Material |
author |
Bàrbara Barceló-Llull Ananda Pascual Aurélie Albert Jaime Hernández-Lasheras Stephanie Leroux Baptiste Mourre |
author_facet |
Bàrbara Barceló-Llull Ananda Pascual Aurélie Albert Jaime Hernández-Lasheras Stephanie Leroux Baptiste Mourre |
author_sort |
Bàrbara Barceló-Llull |
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 |
https://doi.org/10.5281/zenodo.6798018 |
genre |
North West Atlantic |
genre_facet |
North West Atlantic |
op_relation |
https://doi.org/10.3289/eurosea_d2.3 https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.6798017 https://doi.org/10.5281/zenodo.6798018 oai:zenodo.org:6798018 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.679801810.3289/eurosea_d2.310.5281/zenodo.6798017 |
_version_ |
1810465512459599872 |