Analysis of sea surface temperature time series of the south-eastern North Atlantic

The dominant periods in time series of sea surface temperature (SST) of the south-eastern North Atlantic are determined and related to atmospheric forcing and ocean dynamics. We analyse five-day composite images of a 10.5-year-long (from 10 July 1981 to 31 December 1991) time series of Advanced Very...

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Published in:International Journal of Remote Sensing
Main Authors: Borges, Hernández-Guerra, A., Nykjaer, L.
Other Authors: Hernandez-Guerra, Alonso, 7005086276, 6701736545, 6602161085, 24998995, 473798, 660191, 3009575, WOS:Borges, R, WOS:Hernandez-Guerra, A, WOS:Nykjaer, L
Format: Article in Journal/Newspaper
Language:English
Published: 0143-1161 2004
Subjects:
Online Access:http://hdl.handle.net/10553/50061
https://doi.org/10.1080/0143116031000082442
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author Borges
Hernández-Guerra, A.
Nykjaer, L.
author2 Hernandez-Guerra, Alonso
7005086276
6701736545
6602161085
24998995
473798
660191
3009575
WOS:Borges, R
WOS:Hernandez-Guerra, A
WOS:Nykjaer, L
author_facet Borges
Hernández-Guerra, A.
Nykjaer, L.
author_sort Borges
collection Universidad de Las Palmas de Gran Canaria: Acceda
container_issue 5
container_start_page 869
container_title International Journal of Remote Sensing
container_volume 25
description The dominant periods in time series of sea surface temperature (SST) of the south-eastern North Atlantic are determined and related to atmospheric forcing and ocean dynamics. We analyse five-day composite images of a 10.5-year-long (from 10 July 1981 to 31 December 1991) time series of Advanced Very High Resolution Radiometer (AVHRR) onboard NOAA satellites. The dominant signal present in the whole region is the annual cycle. It explains 70% of the SST variance in the northern region and 40% in the southern. The pattern of the annual amplitudes is related to the seasonal cooling and warming cycle in the region. The second dominant period is a semi-annual frequency, estimated by means of periodograms of the residual time series with the annual cycle subtracted. This semi-annual frequency is responsible of making short springs and long autumns. The semi-annual frequency is present in 44% of the time series in the region, contrary to the generalized idea that a time series must always contain it. The geographical distribution of the semi-annual component of SST suggests that it is associated with the curl of the wind stress. The third dominant period is four years, found in three different areas: south of the Canary islands, off the Cape Verde islands and towards the northwest of Lanzarote Island. The main effect of this signal is to increase the maximum temperature every four years and to decrease the minimum temperature two years later. The 4-year signal does not seem to be associated with any atmospheric forcing field. The presence of a signal in the curl of the wind stress with periodicities of 25–30 days located south of the Canary Islands led us to conclude that the curl of the wind stress is important for the generation and shedding of eddies downstream these islands. 891 869 1,128 Q2 SCIE
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genre North Atlantic
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op_doi https://doi.org/10.1080/0143116031000082442
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op_source International Journal of Remote Sensing [ISSN 0143-1161], v. 25, p. 869-891
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spelling ftunivlaspalmas:oai:accedacris.ulpgc.es:10553/50061 2025-04-20T14:41:36+00:00 Analysis of sea surface temperature time series of the south-eastern North Atlantic Borges Hernández-Guerra, A. Nykjaer, L. Hernandez-Guerra, Alonso 7005086276 6701736545 6602161085 24998995 473798 660191 3009575 WOS:Borges, R WOS:Hernandez-Guerra, A WOS:Nykjaer, L 2004 http://hdl.handle.net/10553/50061 https://doi.org/10.1080/0143116031000082442 eng eng 0143-1161 International Journal of Remote Sensing 25 http://hdl.handle.net/10553/50061 doi:10.1080/0143116031000082442 1542651899 000187996500001 Sí International Journal of Remote Sensing [ISSN 0143-1161], v. 25, p. 869-891 2510 Oceanografía 250616 Teledetección (Geología) Current Upwelling Region Equatorial Countercurrent Canary-Islands Azores Current Gran-Canaria Spaced Data Circulation Boundary Variability Africa info:eu-repo/semantics/Article Article 2004 ftunivlaspalmas https://doi.org/10.1080/0143116031000082442 2025-03-21T05:46:10Z The dominant periods in time series of sea surface temperature (SST) of the south-eastern North Atlantic are determined and related to atmospheric forcing and ocean dynamics. We analyse five-day composite images of a 10.5-year-long (from 10 July 1981 to 31 December 1991) time series of Advanced Very High Resolution Radiometer (AVHRR) onboard NOAA satellites. The dominant signal present in the whole region is the annual cycle. It explains 70% of the SST variance in the northern region and 40% in the southern. The pattern of the annual amplitudes is related to the seasonal cooling and warming cycle in the region. The second dominant period is a semi-annual frequency, estimated by means of periodograms of the residual time series with the annual cycle subtracted. This semi-annual frequency is responsible of making short springs and long autumns. The semi-annual frequency is present in 44% of the time series in the region, contrary to the generalized idea that a time series must always contain it. The geographical distribution of the semi-annual component of SST suggests that it is associated with the curl of the wind stress. The third dominant period is four years, found in three different areas: south of the Canary islands, off the Cape Verde islands and towards the northwest of Lanzarote Island. The main effect of this signal is to increase the maximum temperature every four years and to decrease the minimum temperature two years later. The 4-year signal does not seem to be associated with any atmospheric forcing field. The presence of a signal in the curl of the wind stress with periodicities of 25–30 days located south of the Canary Islands led us to conclude that the curl of the wind stress is important for the generation and shedding of eddies downstream these islands. 891 869 1,128 Q2 SCIE Article in Journal/Newspaper North Atlantic Universidad de Las Palmas de Gran Canaria: Acceda Curl ENVELOPE(-63.071,-63.071,-70.797,-70.797) International Journal of Remote Sensing 25 5 869 891
spellingShingle 2510 Oceanografía
250616 Teledetección (Geología)
Current Upwelling Region
Equatorial Countercurrent
Canary-Islands
Azores Current
Gran-Canaria
Spaced Data
Circulation
Boundary
Variability
Africa
Borges
Hernández-Guerra, A.
Nykjaer, L.
Analysis of sea surface temperature time series of the south-eastern North Atlantic
title Analysis of sea surface temperature time series of the south-eastern North Atlantic
title_full Analysis of sea surface temperature time series of the south-eastern North Atlantic
title_fullStr Analysis of sea surface temperature time series of the south-eastern North Atlantic
title_full_unstemmed Analysis of sea surface temperature time series of the south-eastern North Atlantic
title_short Analysis of sea surface temperature time series of the south-eastern North Atlantic
title_sort analysis of sea surface temperature time series of the south-eastern north atlantic
topic 2510 Oceanografía
250616 Teledetección (Geología)
Current Upwelling Region
Equatorial Countercurrent
Canary-Islands
Azores Current
Gran-Canaria
Spaced Data
Circulation
Boundary
Variability
Africa
topic_facet 2510 Oceanografía
250616 Teledetección (Geología)
Current Upwelling Region
Equatorial Countercurrent
Canary-Islands
Azores Current
Gran-Canaria
Spaced Data
Circulation
Boundary
Variability
Africa
url http://hdl.handle.net/10553/50061
https://doi.org/10.1080/0143116031000082442