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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Published in:Journal of Geophysical Research: Oceans
Main Authors: Stopa, Justin, Ardhuin, Fabrice, Stutzmann, Eleonore, Lecocq, Thomas
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2019
Subjects:
Online Access:https://archimer.ifremer.fr/doc/00490/60181/63522.pdf
https://doi.org/10.1029/2018JC014607
https://archimer.ifremer.fr/doc/00490/60181/
id ftarchimer:oai:archimer.ifremer.fr:60181
record_format openpolar
spelling 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
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