Offshore wind fields in near-real-time

An archive of wind fields retrieved from satellite Synthetic Aperture Radar (SAR) observations over the ocean by the Technical University of Denmark (DTU, https://ror.org/04qtj9h94 ). The wind fields are instantaneous ocean backscatter measurements converted to ocean winds at 10m above the sea surfa...

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Main Authors: Merete Badger, Ioanna Karagali, Dalibor Cavar
Format: Dataset
Language:unknown
Published: 2022
Subjects:
Online Access:https://doi.org/10.11583/dtu.19704883.v1
https://figshare.com/articles/dataset/Offshore_wind_fields_in_near-real-time/19704883
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spelling ftdtufig:oai:figshare.com:article/19704883 2023-05-15T17:14:21+02:00 Offshore wind fields in near-real-time Merete Badger Ioanna Karagali Dalibor Cavar 2022-05-18T08:48:23Z https://doi.org/10.11583/dtu.19704883.v1 https://figshare.com/articles/dataset/Offshore_wind_fields_in_near-real-time/19704883 unknown doi:10.11583/dtu.19704883.v1 https://figshare.com/articles/dataset/Offshore_wind_fields_in_near-real-time/19704883 CC BY 4.0 CC-BY Meteorology wind speed datasets satellites synthetic aperture radar (SAR) ocean offshore wind energy marine Dataset 2022 ftdtufig https://doi.org/10.11583/dtu.19704883.v1 2022-05-18T23:11:34Z An archive of wind fields retrieved from satellite Synthetic Aperture Radar (SAR) observations over the ocean by the Technical University of Denmark (DTU, https://ror.org/04qtj9h94 ). The wind fields are instantaneous ocean backscatter measurements converted to ocean winds at 10m above the sea surface, through the implementation of dedicated retrieval algorithms and input wind directions from numerical models. The archive is updated daily and users can browse and download the wind fields though a web interface. The maps are available in .nc and .png format. The archive of wind fields is generated with the SAR Ocean Products System (SAROPS) developed by the Johns Hopkins University, Applied Physics Laboratory (JHU/APL , https://ror.org/029pp9z10 ) and the US National Atmospheric and Oceanographic Administration (NOAA , https://ror.org/02z5nhe81 ). The system uses input data from the following sources: Envisat [2002-12] and Copernicus Sentinel-1 [2014-present] satellite SAR data provided by the European Space Agency (ESA, https://ror.org/03wd9za21) . Wind directions [2002-10] from the Climate Forecast System Reanalysis (CFSR) by the National Centers for Environmental Prediction (NCEP, https://ror.org/00ndyev54 ). Wind directions [2011-present] from the Global Forecast System (GFS) by the National Centers for Environmental Prediction (NCEP, https://ror.org/00ndyev54 ). Land surface topography data from the Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) . 1 Sea ice data [2002-present] from IMS Daily Northern Hemisphere Snow and Ice Analysis . 2 1 Wessel, P., and W. H. F. Smith, 1996. A Global Self-consistent, Hierarchical, High-resolution Shoreline Database, J. Geophys. Res., 101, 8741-8743. https://doi.org/10.1029/96JB00104 2 U.S. National Ice Center. 2008, updated daily. IMS Daily Northern Hemisphere Snow and Ice Analysis at 1 km, 4 km, and 24 km Resolutions, Version 1 . [2002-present]. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. ... Dataset National Snow and Ice Data Center Sea ice Technical University of Denmark (DTU): Fighsare
institution Open Polar
collection Technical University of Denmark (DTU): Fighsare
op_collection_id ftdtufig
language unknown
topic Meteorology
wind speed datasets
satellites
synthetic aperture radar (SAR)
ocean
offshore
wind energy
marine
spellingShingle Meteorology
wind speed datasets
satellites
synthetic aperture radar (SAR)
ocean
offshore
wind energy
marine
Merete Badger
Ioanna Karagali
Dalibor Cavar
Offshore wind fields in near-real-time
topic_facet Meteorology
wind speed datasets
satellites
synthetic aperture radar (SAR)
ocean
offshore
wind energy
marine
description An archive of wind fields retrieved from satellite Synthetic Aperture Radar (SAR) observations over the ocean by the Technical University of Denmark (DTU, https://ror.org/04qtj9h94 ). The wind fields are instantaneous ocean backscatter measurements converted to ocean winds at 10m above the sea surface, through the implementation of dedicated retrieval algorithms and input wind directions from numerical models. The archive is updated daily and users can browse and download the wind fields though a web interface. The maps are available in .nc and .png format. The archive of wind fields is generated with the SAR Ocean Products System (SAROPS) developed by the Johns Hopkins University, Applied Physics Laboratory (JHU/APL , https://ror.org/029pp9z10 ) and the US National Atmospheric and Oceanographic Administration (NOAA , https://ror.org/02z5nhe81 ). The system uses input data from the following sources: Envisat [2002-12] and Copernicus Sentinel-1 [2014-present] satellite SAR data provided by the European Space Agency (ESA, https://ror.org/03wd9za21) . Wind directions [2002-10] from the Climate Forecast System Reanalysis (CFSR) by the National Centers for Environmental Prediction (NCEP, https://ror.org/00ndyev54 ). Wind directions [2011-present] from the Global Forecast System (GFS) by the National Centers for Environmental Prediction (NCEP, https://ror.org/00ndyev54 ). Land surface topography data from the Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) . 1 Sea ice data [2002-present] from IMS Daily Northern Hemisphere Snow and Ice Analysis . 2 1 Wessel, P., and W. H. F. Smith, 1996. A Global Self-consistent, Hierarchical, High-resolution Shoreline Database, J. Geophys. Res., 101, 8741-8743. https://doi.org/10.1029/96JB00104 2 U.S. National Ice Center. 2008, updated daily. IMS Daily Northern Hemisphere Snow and Ice Analysis at 1 km, 4 km, and 24 km Resolutions, Version 1 . [2002-present]. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. ...
format Dataset
author Merete Badger
Ioanna Karagali
Dalibor Cavar
author_facet Merete Badger
Ioanna Karagali
Dalibor Cavar
author_sort Merete Badger
title Offshore wind fields in near-real-time
title_short Offshore wind fields in near-real-time
title_full Offshore wind fields in near-real-time
title_fullStr Offshore wind fields in near-real-time
title_full_unstemmed Offshore wind fields in near-real-time
title_sort offshore wind fields in near-real-time
publishDate 2022
url https://doi.org/10.11583/dtu.19704883.v1
https://figshare.com/articles/dataset/Offshore_wind_fields_in_near-real-time/19704883
genre National Snow and Ice Data Center
Sea ice
genre_facet National Snow and Ice Data Center
Sea ice
op_relation doi:10.11583/dtu.19704883.v1
https://figshare.com/articles/dataset/Offshore_wind_fields_in_near-real-time/19704883
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.11583/dtu.19704883.v1
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