Sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016)
Wave hindcasts of long time series (> 30 years) have been instrumental in understanding the wave climate. However it is still difficult to have a consistent reanalysis suitable for study of trends and inter‐annual variability. Here we explore the consistency of a wave hindcast with independent ob...
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ftarchimer:oai:archimer.ifremer.fr:60181 2023-05-15T18:25:39+02:00 Sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016) Stopa, Justin Ardhuin, Fabrice Stutzmann, Eleonore Lecocq, Thomas 2019-06 application/pdf https://archimer.ifremer.fr/doc/00490/60181/63522.pdf https://doi.org/10.1029/2018JC014607 https://archimer.ifremer.fr/doc/00490/60181/ eng eng American Geophysical Union (AGU) info:eu-repo/grantAgreement/EC/FP7/607476/EU//SWARP https://archimer.ifremer.fr/doc/00490/60181/63522.pdf doi:10.1029/2018JC014607 https://archimer.ifremer.fr/doc/00490/60181/ info:eu-repo/semantics/openAccess restricted use Journal Of Geophysical Research-oceans (2169-9275) (American Geophysical Union (AGU)), 2019-06 , Vol. 124 , N. 6 , P. 3923-3940 wave hindcasting COWCLIP seismic noise long-term trends Climate Forecast System Reanalysis data homogeneity text Publication info:eu-repo/semantics/article 2019 ftarchimer https://doi.org/10.1029/2018JC014607 2021-09-23T20:32:28Z Wave hindcasts of long time series (> 30 years) have been instrumental in understanding the wave climate. However it is still difficult to have a consistent reanalysis suitable for study of trends and inter‐annual variability. Here we explore the consistency of a wave hindcast with independent observations from moored buoys, satellite altimeters, and seismic data. We use the Climate Forecast System Reanalysis (CFSR) winds to drive a wave model since extreme events are generally well captured. Unfortunately the original CFSR winds are not homogeneous in time. We systematically modify this wind field in time and space to produce a wave field that has homogeneous differences against the Globwave/SeaStateCCI altimeter wave height database. These corrections to the winds and resulting waves are validated using independent buoy and microseism data. We particularly use seismic data in the dominant double‐frequency band, around 5 s period, that are generated by opposing waves of equal frequencies. The seismic data confirms that our correction of time‐varying biases is consistent, even in remote and under‐sampled region such as the Southern Ocean where the original CFSR biases are strongest. Our analysis is performed on monthly time series and we expect the monthly statistics to be better suited for climate studies. Remaining issues with time consistency of reanalysis products and associated wave hindcasts are further discussed. Article in Journal/Newspaper Southern Ocean Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Southern Ocean Journal of Geophysical Research: Oceans 124 6 3923 3940 |
institution |
Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
topic |
wave hindcasting COWCLIP seismic noise long-term trends Climate Forecast System Reanalysis data homogeneity |
spellingShingle |
wave hindcasting COWCLIP seismic noise long-term trends Climate Forecast System Reanalysis data homogeneity Stopa, Justin Ardhuin, Fabrice Stutzmann, Eleonore Lecocq, Thomas Sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016) |
topic_facet |
wave hindcasting COWCLIP seismic noise long-term trends Climate Forecast System Reanalysis data homogeneity |
description |
Wave hindcasts of long time series (> 30 years) have been instrumental in understanding the wave climate. However it is still difficult to have a consistent reanalysis suitable for study of trends and inter‐annual variability. Here we explore the consistency of a wave hindcast with independent observations from moored buoys, satellite altimeters, and seismic data. We use the Climate Forecast System Reanalysis (CFSR) winds to drive a wave model since extreme events are generally well captured. Unfortunately the original CFSR winds are not homogeneous in time. We systematically modify this wind field in time and space to produce a wave field that has homogeneous differences against the Globwave/SeaStateCCI altimeter wave height database. These corrections to the winds and resulting waves are validated using independent buoy and microseism data. We particularly use seismic data in the dominant double‐frequency band, around 5 s period, that are generated by opposing waves of equal frequencies. The seismic data confirms that our correction of time‐varying biases is consistent, even in remote and under‐sampled region such as the Southern Ocean where the original CFSR biases are strongest. Our analysis is performed on monthly time series and we expect the monthly statistics to be better suited for climate studies. Remaining issues with time consistency of reanalysis products and associated wave hindcasts are further discussed. |
format |
Article in Journal/Newspaper |
author |
Stopa, Justin Ardhuin, Fabrice Stutzmann, Eleonore Lecocq, Thomas |
author_facet |
Stopa, Justin Ardhuin, Fabrice Stutzmann, Eleonore Lecocq, Thomas |
author_sort |
Stopa, Justin |
title |
Sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016) |
title_short |
Sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016) |
title_full |
Sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016) |
title_fullStr |
Sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016) |
title_full_unstemmed |
Sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016) |
title_sort |
sea state trends and variability: consistency between models, altimeters, buoys, and seismic data (1979‐2016) |
publisher |
American Geophysical Union (AGU) |
publishDate |
2019 |
url |
https://archimer.ifremer.fr/doc/00490/60181/63522.pdf https://doi.org/10.1029/2018JC014607 https://archimer.ifremer.fr/doc/00490/60181/ |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Journal Of Geophysical Research-oceans (2169-9275) (American Geophysical Union (AGU)), 2019-06 , Vol. 124 , N. 6 , P. 3923-3940 |
op_relation |
info:eu-repo/grantAgreement/EC/FP7/607476/EU//SWARP https://archimer.ifremer.fr/doc/00490/60181/63522.pdf doi:10.1029/2018JC014607 https://archimer.ifremer.fr/doc/00490/60181/ |
op_rights |
info:eu-repo/semantics/openAccess restricted use |
op_doi |
https://doi.org/10.1029/2018JC014607 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
124 |
container_issue |
6 |
container_start_page |
3923 |
op_container_end_page |
3940 |
_version_ |
1766207241184083968 |