Exploring the impact of southern ocean sea ice on the Indian Ocean swells

Abstract The present study analyzes the impact of the Southern Ocean (SO) sea ice concentration on the north Indian Ocean (NIO) wave fields through swells using 6 years (2016–2021) of WAVEWATCH III (WWIII) simulations. We did two experimental runs of WWIII, one with sea ice concentration and winds a...
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Autor*in:	Meenakshi Sreejith [verfasserIn] Remya P. G. [verfasserIn] B. Praveen Kumar [verfasserIn] Abhijith Raj [verfasserIn] T. M. Balakrishnan Nair [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Übergeordnetes Werk:	In: Scientific Reports - Nature Portfolio, 2011, 12(2022), 1, Seite 9
Übergeordnetes Werk:	volume:12 ; year:2022 ; number:1 ; pages:9

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1038/s41598-022-16634-0

Katalog-ID:	DOAJ024514985

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allfields	10.1038/s41598-022-16634-0 doi (DE-627)DOAJ024514985 (DE-599)DOAJ609acc5a8e154a1a8b090329a408ddb1 DE-627 ger DE-627 rakwb eng Meenakshi Sreejith verfasserin aut Exploring the impact of southern ocean sea ice on the Indian Ocean swells 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The present study analyzes the impact of the Southern Ocean (SO) sea ice concentration on the north Indian Ocean (NIO) wave fields through swells using 6 years (2016–2021) of WAVEWATCH III (WWIII) simulations. We did two experimental runs of WWIII, one with sea ice concentration and winds as the forcing (W3 with_ice ) and the second run with only wind forcing (W3 no_ice ). Analysis shows the impact of the SO sea ice concentration on northward swell peaks in September–November, coinciding with the maximum sea ice extent in the Antarctic region of the Indian Ocean. W3 no_ice simulations are biased more by ~ 60% and ~ 37% in significant wave height and period, respectively, against W3 with_ice when compared with NIO mooring data. W3 no_ice simulates low-frequency swells and travels fast towards NIO, with implications for operational oceanography. We have shown that the forecasts of the timing of high swell events along NIO coasts can be erroneous by ~ 12 h if the SO sea ice concentration is not included in the model. Further, W3 no_ice could potentially produce false swell alerts along southeastern Australian coasts. In summary, our study highlights the importance of the SO sea ice concentration inclusion in the wave models to accurately simulate NIO waves. Medicine R Science Q Remya P. G. verfasserin aut B. Praveen Kumar verfasserin aut Abhijith Raj verfasserin aut T. M. Balakrishnan Nair verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 9 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:9 https://doi.org/10.1038/s41598-022-16634-0 kostenfrei https://doaj.org/article/609acc5a8e154a1a8b090329a408ddb1 kostenfrei https://doi.org/10.1038/s41598-022-16634-0 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 9
spelling	10.1038/s41598-022-16634-0 doi (DE-627)DOAJ024514985 (DE-599)DOAJ609acc5a8e154a1a8b090329a408ddb1 DE-627 ger DE-627 rakwb eng Meenakshi Sreejith verfasserin aut Exploring the impact of southern ocean sea ice on the Indian Ocean swells 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The present study analyzes the impact of the Southern Ocean (SO) sea ice concentration on the north Indian Ocean (NIO) wave fields through swells using 6 years (2016–2021) of WAVEWATCH III (WWIII) simulations. We did two experimental runs of WWIII, one with sea ice concentration and winds as the forcing (W3 with_ice ) and the second run with only wind forcing (W3 no_ice ). Analysis shows the impact of the SO sea ice concentration on northward swell peaks in September–November, coinciding with the maximum sea ice extent in the Antarctic region of the Indian Ocean. W3 no_ice simulations are biased more by ~ 60% and ~ 37% in significant wave height and period, respectively, against W3 with_ice when compared with NIO mooring data. W3 no_ice simulates low-frequency swells and travels fast towards NIO, with implications for operational oceanography. We have shown that the forecasts of the timing of high swell events along NIO coasts can be erroneous by ~ 12 h if the SO sea ice concentration is not included in the model. Further, W3 no_ice could potentially produce false swell alerts along southeastern Australian coasts. In summary, our study highlights the importance of the SO sea ice concentration inclusion in the wave models to accurately simulate NIO waves. Medicine R Science Q Remya P. G. verfasserin aut B. Praveen Kumar verfasserin aut Abhijith Raj verfasserin aut T. M. Balakrishnan Nair verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 9 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:9 https://doi.org/10.1038/s41598-022-16634-0 kostenfrei https://doaj.org/article/609acc5a8e154a1a8b090329a408ddb1 kostenfrei https://doi.org/10.1038/s41598-022-16634-0 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 9
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allfieldsGer	10.1038/s41598-022-16634-0 doi (DE-627)DOAJ024514985 (DE-599)DOAJ609acc5a8e154a1a8b090329a408ddb1 DE-627 ger DE-627 rakwb eng Meenakshi Sreejith verfasserin aut Exploring the impact of southern ocean sea ice on the Indian Ocean swells 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The present study analyzes the impact of the Southern Ocean (SO) sea ice concentration on the north Indian Ocean (NIO) wave fields through swells using 6 years (2016–2021) of WAVEWATCH III (WWIII) simulations. We did two experimental runs of WWIII, one with sea ice concentration and winds as the forcing (W3 with_ice ) and the second run with only wind forcing (W3 no_ice ). Analysis shows the impact of the SO sea ice concentration on northward swell peaks in September–November, coinciding with the maximum sea ice extent in the Antarctic region of the Indian Ocean. W3 no_ice simulations are biased more by ~ 60% and ~ 37% in significant wave height and period, respectively, against W3 with_ice when compared with NIO mooring data. W3 no_ice simulates low-frequency swells and travels fast towards NIO, with implications for operational oceanography. We have shown that the forecasts of the timing of high swell events along NIO coasts can be erroneous by ~ 12 h if the SO sea ice concentration is not included in the model. Further, W3 no_ice could potentially produce false swell alerts along southeastern Australian coasts. In summary, our study highlights the importance of the SO sea ice concentration inclusion in the wave models to accurately simulate NIO waves. Medicine R Science Q Remya P. G. verfasserin aut B. Praveen Kumar verfasserin aut Abhijith Raj verfasserin aut T. M. Balakrishnan Nair verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 9 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:9 https://doi.org/10.1038/s41598-022-16634-0 kostenfrei https://doaj.org/article/609acc5a8e154a1a8b090329a408ddb1 kostenfrei https://doi.org/10.1038/s41598-022-16634-0 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 9
allfieldsSound	10.1038/s41598-022-16634-0 doi (DE-627)DOAJ024514985 (DE-599)DOAJ609acc5a8e154a1a8b090329a408ddb1 DE-627 ger DE-627 rakwb eng Meenakshi Sreejith verfasserin aut Exploring the impact of southern ocean sea ice on the Indian Ocean swells 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The present study analyzes the impact of the Southern Ocean (SO) sea ice concentration on the north Indian Ocean (NIO) wave fields through swells using 6 years (2016–2021) of WAVEWATCH III (WWIII) simulations. We did two experimental runs of WWIII, one with sea ice concentration and winds as the forcing (W3 with_ice ) and the second run with only wind forcing (W3 no_ice ). Analysis shows the impact of the SO sea ice concentration on northward swell peaks in September–November, coinciding with the maximum sea ice extent in the Antarctic region of the Indian Ocean. W3 no_ice simulations are biased more by ~ 60% and ~ 37% in significant wave height and period, respectively, against W3 with_ice when compared with NIO mooring data. W3 no_ice simulates low-frequency swells and travels fast towards NIO, with implications for operational oceanography. We have shown that the forecasts of the timing of high swell events along NIO coasts can be erroneous by ~ 12 h if the SO sea ice concentration is not included in the model. Further, W3 no_ice could potentially produce false swell alerts along southeastern Australian coasts. In summary, our study highlights the importance of the SO sea ice concentration inclusion in the wave models to accurately simulate NIO waves. Medicine R Science Q Remya P. G. verfasserin aut B. Praveen Kumar verfasserin aut Abhijith Raj verfasserin aut T. M. Balakrishnan Nair verfasserin aut In Scientific Reports Nature Portfolio, 2011 12(2022), 1, Seite 9 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:12 year:2022 number:1 pages:9 https://doi.org/10.1038/s41598-022-16634-0 kostenfrei https://doaj.org/article/609acc5a8e154a1a8b090329a408ddb1 kostenfrei https://doi.org/10.1038/s41598-022-16634-0 kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 1 9
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author	Meenakshi Sreejith
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title	Exploring the impact of southern ocean sea ice on the Indian Ocean swells
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title_full	Exploring the impact of southern ocean sea ice on the Indian Ocean swells
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title_sort	exploring the impact of southern ocean sea ice on the indian ocean swells
title_auth	Exploring the impact of southern ocean sea ice on the Indian Ocean swells
abstract	Abstract The present study analyzes the impact of the Southern Ocean (SO) sea ice concentration on the north Indian Ocean (NIO) wave fields through swells using 6 years (2016–2021) of WAVEWATCH III (WWIII) simulations. We did two experimental runs of WWIII, one with sea ice concentration and winds as the forcing (W3 with_ice ) and the second run with only wind forcing (W3 no_ice ). Analysis shows the impact of the SO sea ice concentration on northward swell peaks in September–November, coinciding with the maximum sea ice extent in the Antarctic region of the Indian Ocean. W3 no_ice simulations are biased more by ~ 60% and ~ 37% in significant wave height and period, respectively, against W3 with_ice when compared with NIO mooring data. W3 no_ice simulates low-frequency swells and travels fast towards NIO, with implications for operational oceanography. We have shown that the forecasts of the timing of high swell events along NIO coasts can be erroneous by ~ 12 h if the SO sea ice concentration is not included in the model. Further, W3 no_ice could potentially produce false swell alerts along southeastern Australian coasts. In summary, our study highlights the importance of the SO sea ice concentration inclusion in the wave models to accurately simulate NIO waves.
abstractGer	Abstract The present study analyzes the impact of the Southern Ocean (SO) sea ice concentration on the north Indian Ocean (NIO) wave fields through swells using 6 years (2016–2021) of WAVEWATCH III (WWIII) simulations. We did two experimental runs of WWIII, one with sea ice concentration and winds as the forcing (W3 with_ice ) and the second run with only wind forcing (W3 no_ice ). Analysis shows the impact of the SO sea ice concentration on northward swell peaks in September–November, coinciding with the maximum sea ice extent in the Antarctic region of the Indian Ocean. W3 no_ice simulations are biased more by ~ 60% and ~ 37% in significant wave height and period, respectively, against W3 with_ice when compared with NIO mooring data. W3 no_ice simulates low-frequency swells and travels fast towards NIO, with implications for operational oceanography. We have shown that the forecasts of the timing of high swell events along NIO coasts can be erroneous by ~ 12 h if the SO sea ice concentration is not included in the model. Further, W3 no_ice could potentially produce false swell alerts along southeastern Australian coasts. In summary, our study highlights the importance of the SO sea ice concentration inclusion in the wave models to accurately simulate NIO waves.
abstract_unstemmed	Abstract The present study analyzes the impact of the Southern Ocean (SO) sea ice concentration on the north Indian Ocean (NIO) wave fields through swells using 6 years (2016–2021) of WAVEWATCH III (WWIII) simulations. We did two experimental runs of WWIII, one with sea ice concentration and winds as the forcing (W3 with_ice ) and the second run with only wind forcing (W3 no_ice ). Analysis shows the impact of the SO sea ice concentration on northward swell peaks in September–November, coinciding with the maximum sea ice extent in the Antarctic region of the Indian Ocean. W3 no_ice simulations are biased more by ~ 60% and ~ 37% in significant wave height and period, respectively, against W3 with_ice when compared with NIO mooring data. W3 no_ice simulates low-frequency swells and travels fast towards NIO, with implications for operational oceanography. We have shown that the forecasts of the timing of high swell events along NIO coasts can be erroneous by ~ 12 h if the SO sea ice concentration is not included in the model. Further, W3 no_ice could potentially produce false swell alerts along southeastern Australian coasts. In summary, our study highlights the importance of the SO sea ice concentration inclusion in the wave models to accurately simulate NIO waves.
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title_short	Exploring the impact of southern ocean sea ice on the Indian Ocean swells
url	https://doi.org/10.1038/s41598-022-16634-0 https://doaj.org/article/609acc5a8e154a1a8b090329a408ddb1 https://doaj.org/toc/2045-2322
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