IMOS - SRS Surface Waves Sub-Facility - SAR wind - Delayed mode data

Maintenance and Update Frequency: continual Statement: Refer to data descriptor paper (https://doi.org/10.1038/s41597-023-02046-w) The data also include wind speed quality control flags labelling data as good, probably good, or bad. Users are encouraged to use both good and probably good data in the...

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Other Authors: AODN Data Manager (pointOfContact), AODN Data Manager (distributor), CSIRO Oceans and Atmosphere - Aspendale (hasAssociationWith), Data Officer (pointOfContact), Data Officer (distributor), Integrated Marine Observing System (IMOS) (resourceProvider), Khan, Salman (hasPrincipalInvestigator)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
Online Access:https://researchdata.edu.au/imos-srs-surface-mode-data/2047671
id ftands:oai:ands.org.au::2047671
record_format openpolar
institution Open Polar
collection Research Data Australia (Australian National Data Service - ANDS)
op_collection_id ftands
language unknown
topic oceans
SURFACE WINDS
EARTH SCIENCE
OCEAN WINDS
Regional Seas | Banda Sea
Global / Oceans | Southern Ocean
Regional Seas | Solomon Sea
Marine Features (Australia) | Great Australian Bight
SA/WA
Regional Seas | Arafura Sea
Global / Oceans | Pacific Ocean
Regional Seas | Tasman Sea
Regional Seas | Celebes Sea
Regional Seas | Coral Sea
Regional Seas | South China Sea
Global / Oceans | Indian Ocean
Regional Seas | Gulf of Thailand
Regional Seas | Andaman Sea
Regional Seas | Philippine Sea
Sentinel-1A
Sentinel-1B
Wind to direction in the atmosphere
Wind speed in the atmosphere
synthetic aperture radars
Surface Waves Sub-Facility
Integrated Marine Observing System (IMOS)
spellingShingle oceans
SURFACE WINDS
EARTH SCIENCE
OCEAN WINDS
Regional Seas | Banda Sea
Global / Oceans | Southern Ocean
Regional Seas | Solomon Sea
Marine Features (Australia) | Great Australian Bight
SA/WA
Regional Seas | Arafura Sea
Global / Oceans | Pacific Ocean
Regional Seas | Tasman Sea
Regional Seas | Celebes Sea
Regional Seas | Coral Sea
Regional Seas | South China Sea
Global / Oceans | Indian Ocean
Regional Seas | Gulf of Thailand
Regional Seas | Andaman Sea
Regional Seas | Philippine Sea
Sentinel-1A
Sentinel-1B
Wind to direction in the atmosphere
Wind speed in the atmosphere
synthetic aperture radars
Surface Waves Sub-Facility
Integrated Marine Observing System (IMOS)
IMOS - SRS Surface Waves Sub-Facility - SAR wind - Delayed mode data
topic_facet oceans
SURFACE WINDS
EARTH SCIENCE
OCEAN WINDS
Regional Seas | Banda Sea
Global / Oceans | Southern Ocean
Regional Seas | Solomon Sea
Marine Features (Australia) | Great Australian Bight
SA/WA
Regional Seas | Arafura Sea
Global / Oceans | Pacific Ocean
Regional Seas | Tasman Sea
Regional Seas | Celebes Sea
Regional Seas | Coral Sea
Regional Seas | South China Sea
Global / Oceans | Indian Ocean
Regional Seas | Gulf of Thailand
Regional Seas | Andaman Sea
Regional Seas | Philippine Sea
Sentinel-1A
Sentinel-1B
Wind to direction in the atmosphere
Wind speed in the atmosphere
synthetic aperture radars
Surface Waves Sub-Facility
Integrated Marine Observing System (IMOS)
description Maintenance and Update Frequency: continual Statement: Refer to data descriptor paper (https://doi.org/10.1038/s41597-023-02046-w) The data also include wind speed quality control flags labelling data as good, probably good, or bad. Users are encouraged to use both good and probably good data in their analyses. Credit Australia?s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent. Sentinel-1 A and B satellites are part of Europe's Copernicus Earth Observation program and carry identical C-band Synthetic Aperture Radar (SAR) instruments. This dataset contains 10m neutral stability wind speed and direction derived from Sentinel-1 A and B SARs in the wider Australian coastal regions. In these regions, the satellites normally operate in interferometric wide (IW) swath mode. The winds are derived using a consistent geophysical model function (gmf), CMOD5N, and variational Bayesian inversion approach as proposed in Portabella et al. (2002) and Sentinel-1 Ocean wind (owi) algorithm definition document. The input SAR and model (ECMWF) data used in the inversion are sourced from owi level-2 product, and the resulting derived winds are approximately at 1km horizontal spatial resolution as in the source product but derived using a consistent gmf over time (unlike the source product). Wind speeds are also calibrated against Metop-A and B scatterometer wind database of Ribal and Young, 2020 (JTECH). The data represented by this record, are presented in delayed mode.
author2 AODN Data Manager (pointOfContact)
AODN Data Manager (distributor)
CSIRO Oceans and Atmosphere - Aspendale (hasAssociationWith)
Data Officer (pointOfContact)
Data Officer (distributor)
Integrated Marine Observing System (IMOS) (resourceProvider)
Khan, Salman (hasPrincipalInvestigator)
format Dataset
title IMOS - SRS Surface Waves Sub-Facility - SAR wind - Delayed mode data
title_short IMOS - SRS Surface Waves Sub-Facility - SAR wind - Delayed mode data
title_full IMOS - SRS Surface Waves Sub-Facility - SAR wind - Delayed mode data
title_fullStr IMOS - SRS Surface Waves Sub-Facility - SAR wind - Delayed mode data
title_full_unstemmed IMOS - SRS Surface Waves Sub-Facility - SAR wind - Delayed mode data
title_sort imos - srs surface waves sub-facility - sar wind - delayed mode data
publisher Australian Ocean Data Network
url https://researchdata.edu.au/imos-srs-surface-mode-data/2047671
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Temporal: From 2017-10-24
genre Southern Ocean
genre_facet Southern Ocean
op_source CSIRO Oceans and Atmosphere - Aspendale Integrated Marine Observing System (IMOS)
op_relation https://researchdata.edu.au/imos-srs-surface-mode-data/2047671
b02b929f-2caf-45d4-ac60-d4632b7ca0ca
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80.99999999999999,-49 80.99999999999999,-51 82,-51 82,-52 83.00000000000001,-52 83.00000000000001,-54 84,-54 84,-55 83.00000000000001,-55 83.00000000000001,-56 78.99999999999999,-56 78.99999999999999,-57 75,-57 75,-56 73,-56 Spatial: 75,-42.999999999999986 75,-44 76,-44 76,-42.999999999999986 75,-42.999999999999986 Spatial: 78.99999999999999,-46.00000000000001 78.99999999999999,-45 78,-45 78,-46.00000000000001 78.99999999999999,-46.00000000000001 Temporal: From 2017-10-24 https://researchdata.edu.au/imos-srs-surface-mode-data/2047671 unknown Australian Ocean Data Network https://researchdata.edu.au/imos-srs-surface-mode-data/2047671 b02b929f-2caf-45d4-ac60-d4632b7ca0ca CSIRO Oceans and Atmosphere - Aspendale Integrated Marine Observing System (IMOS) oceans SURFACE WINDS EARTH SCIENCE OCEAN WINDS Regional Seas | Banda Sea Global / Oceans | Southern Ocean Regional Seas | Solomon Sea Marine Features (Australia) | Great Australian Bight SA/WA Regional Seas | Arafura Sea Global / Oceans | Pacific Ocean Regional Seas | Tasman Sea Regional Seas | Celebes Sea Regional Seas | Coral Sea Regional Seas | South China Sea Global / Oceans | Indian Ocean Regional Seas | Gulf of Thailand Regional Seas | Andaman Sea Regional Seas | Philippine Sea Sentinel-1A Sentinel-1B Wind to direction in the atmosphere Wind speed in the atmosphere synthetic aperture radars Surface Waves Sub-Facility Integrated Marine Observing System (IMOS) dataset ftands 2023-12-04T23:32:22Z Maintenance and Update Frequency: continual Statement: Refer to data descriptor paper (https://doi.org/10.1038/s41597-023-02046-w) The data also include wind speed quality control flags labelling data as good, probably good, or bad. Users are encouraged to use both good and probably good data in their analyses. Credit Australia?s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent. Sentinel-1 A and B satellites are part of Europe's Copernicus Earth Observation program and carry identical C-band Synthetic Aperture Radar (SAR) instruments. This dataset contains 10m neutral stability wind speed and direction derived from Sentinel-1 A and B SARs in the wider Australian coastal regions. In these regions, the satellites normally operate in interferometric wide (IW) swath mode. The winds are derived using a consistent geophysical model function (gmf), CMOD5N, and variational Bayesian inversion approach as proposed in Portabella et al. (2002) and Sentinel-1 Ocean wind (owi) algorithm definition document. The input SAR and model (ECMWF) data used in the inversion are sourced from owi level-2 product, and the resulting derived winds are approximately at 1km horizontal spatial resolution as in the source product but derived using a consistent gmf over time (unlike the source product). Wind speeds are also calibrated against Metop-A and B scatterometer wind database of Ribal and Young, 2020 (JTECH). The data represented by this record, are presented in delayed mode. Dataset Southern Ocean Research Data Australia (Australian National Data Service - ANDS)