Presentation_1_Potential SST drivers for Chlorophyll-a variability in the Alboran Sea: A source for seasonal predictability?.pdf
This study investigates the link between large-scale variability modes of the sea surface temperature (SST) and the surface chlorophyll-a (Chl-a) concentration in spring along the northern flank of the Alboran Sea. To this aim, surface satellite-derived products of SST and Chl-a, together with atmos...
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ftfrontimediafig:oai:figshare.com:article/21260673 2024-09-15T18:22:03+00:00 Presentation_1_Potential SST drivers for Chlorophyll-a variability in the Alboran Sea: A source for seasonal predictability?.pdf Jorge López-Parages Iñigo Gómara Belén Rodríguez-Fonseca Jesús García-Lafuente 2022-10-03T04:53:53Z https://doi.org/10.3389/fmars.2022.931832.s001 https://figshare.com/articles/presentation/Presentation_1_Potential_SST_drivers_for_Chlorophyll-a_variability_in_the_Alboran_Sea_A_source_for_seasonal_predictability_pdf/21260673 unknown doi:10.3389/fmars.2022.931832.s001 https://figshare.com/articles/presentation/Presentation_1_Potential_SST_drivers_for_Chlorophyll-a_variability_in_the_Alboran_Sea_A_source_for_seasonal_predictability_pdf/21260673 CC BY 4.0 Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering Alboran Sea chlorophyll-a (Chl-a) SST (sea surface temperature) climate teleconnection seasonal predictability Text Presentation 2022 ftfrontimediafig https://doi.org/10.3389/fmars.2022.931832.s001 2024-08-19T06:19:50Z This study investigates the link between large-scale variability modes of the sea surface temperature (SST) and the surface chlorophyll-a (Chl-a) concentration in spring along the northern flank of the Alboran Sea. To this aim, surface satellite-derived products of SST and Chl-a, together with atmospheric satellite variables, are used. Our results indicate that both the tropical North Atlantic and El Niño Southern Oscillation (ENSO) could trigger the development of anomalous distribution patterns of Chl-a in spring in northern Alboran. This anomalous feature of Chl-a is, in turn, associated with the alteration of the usual upwelling taking place in northern Alboran at that time of the year. The skill of the related SST signals, over the tropical North Atlantic and the tropical Pacific, as predictors of the aforementioned Chl-a response in Alboran, has also been assessed through a statistical prediction model with leave-one-out cross-validation. Our results confirm the predictive skill of ENSO to realistically estimate the coastal Chl-a concentration in spring in northern Alboran. In particular, during the El Niño/La Niña years, this Chl-a response can be robustly predicted with 4 months in advance. On the other hand, the tropical North Atlantic SSTs allow to significantly predict, up to 7 months in advance, the Chl-a concentration in spring offshore, in particular by the north of the Western and the Eastern Alboran gyres. The results presented here could contribute to develop a future seasonal forecasting tool of upwelling variability and living marine resources in northern Alboran. Conference Object North Atlantic Frontiers: Figshare |
institution |
Open Polar |
collection |
Frontiers: Figshare |
op_collection_id |
ftfrontimediafig |
language |
unknown |
topic |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering Alboran Sea chlorophyll-a (Chl-a) SST (sea surface temperature) climate teleconnection seasonal predictability |
spellingShingle |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering Alboran Sea chlorophyll-a (Chl-a) SST (sea surface temperature) climate teleconnection seasonal predictability Jorge López-Parages Iñigo Gómara Belén Rodríguez-Fonseca Jesús García-Lafuente Presentation_1_Potential SST drivers for Chlorophyll-a variability in the Alboran Sea: A source for seasonal predictability?.pdf |
topic_facet |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering Alboran Sea chlorophyll-a (Chl-a) SST (sea surface temperature) climate teleconnection seasonal predictability |
description |
This study investigates the link between large-scale variability modes of the sea surface temperature (SST) and the surface chlorophyll-a (Chl-a) concentration in spring along the northern flank of the Alboran Sea. To this aim, surface satellite-derived products of SST and Chl-a, together with atmospheric satellite variables, are used. Our results indicate that both the tropical North Atlantic and El Niño Southern Oscillation (ENSO) could trigger the development of anomalous distribution patterns of Chl-a in spring in northern Alboran. This anomalous feature of Chl-a is, in turn, associated with the alteration of the usual upwelling taking place in northern Alboran at that time of the year. The skill of the related SST signals, over the tropical North Atlantic and the tropical Pacific, as predictors of the aforementioned Chl-a response in Alboran, has also been assessed through a statistical prediction model with leave-one-out cross-validation. Our results confirm the predictive skill of ENSO to realistically estimate the coastal Chl-a concentration in spring in northern Alboran. In particular, during the El Niño/La Niña years, this Chl-a response can be robustly predicted with 4 months in advance. On the other hand, the tropical North Atlantic SSTs allow to significantly predict, up to 7 months in advance, the Chl-a concentration in spring offshore, in particular by the north of the Western and the Eastern Alboran gyres. The results presented here could contribute to develop a future seasonal forecasting tool of upwelling variability and living marine resources in northern Alboran. |
format |
Conference Object |
author |
Jorge López-Parages Iñigo Gómara Belén Rodríguez-Fonseca Jesús García-Lafuente |
author_facet |
Jorge López-Parages Iñigo Gómara Belén Rodríguez-Fonseca Jesús García-Lafuente |
author_sort |
Jorge López-Parages |
title |
Presentation_1_Potential SST drivers for Chlorophyll-a variability in the Alboran Sea: A source for seasonal predictability?.pdf |
title_short |
Presentation_1_Potential SST drivers for Chlorophyll-a variability in the Alboran Sea: A source for seasonal predictability?.pdf |
title_full |
Presentation_1_Potential SST drivers for Chlorophyll-a variability in the Alboran Sea: A source for seasonal predictability?.pdf |
title_fullStr |
Presentation_1_Potential SST drivers for Chlorophyll-a variability in the Alboran Sea: A source for seasonal predictability?.pdf |
title_full_unstemmed |
Presentation_1_Potential SST drivers for Chlorophyll-a variability in the Alboran Sea: A source for seasonal predictability?.pdf |
title_sort |
presentation_1_potential sst drivers for chlorophyll-a variability in the alboran sea: a source for seasonal predictability?.pdf |
publishDate |
2022 |
url |
https://doi.org/10.3389/fmars.2022.931832.s001 https://figshare.com/articles/presentation/Presentation_1_Potential_SST_drivers_for_Chlorophyll-a_variability_in_the_Alboran_Sea_A_source_for_seasonal_predictability_pdf/21260673 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
doi:10.3389/fmars.2022.931832.s001 https://figshare.com/articles/presentation/Presentation_1_Potential_SST_drivers_for_Chlorophyll-a_variability_in_the_Alboran_Sea_A_source_for_seasonal_predictability_pdf/21260673 |
op_rights |
CC BY 4.0 |
op_doi |
https://doi.org/10.3389/fmars.2022.931832.s001 |
_version_ |
1810461349222809600 |