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...
Published in: | International Journal of Remote Sensing |
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Main Authors: | , , |
Other Authors: | , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
0143-1161
2004
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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 |
format | Article in Journal/Newspaper |
genre | North Atlantic |
genre_facet | North Atlantic |
geographic | Curl |
geographic_facet | Curl |
id | ftunivlaspalmas:oai:accedacris.ulpgc.es:10553/50061 |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(-63.071,-63.071,-70.797,-70.797) |
op_collection_id | ftunivlaspalmas |
op_container_end_page | 891 |
op_doi | https://doi.org/10.1080/0143116031000082442 |
op_relation | International Journal of Remote Sensing 25 http://hdl.handle.net/10553/50061 doi:10.1080/0143116031000082442 1542651899 000187996500001 Sí |
op_source | International Journal of Remote Sensing [ISSN 0143-1161], v. 25, p. 869-891 |
publishDate | 2004 |
publisher | 0143-1161 |
record_format | openpolar |
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 |