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Temperature and salinity vertical profiles (CTD) data in the Ría de Vigo and adjacent shelf collected in the Radiales
Pablo Otero1, Águeda Cabrero1, Fernando Alonso-Pérez1
1Centro Oceanográfico de Vigo, Centro Nacional Instituto Español de Oceanografía (IEO, CSIC), Subida a Radio Faro 50, Vigo 36003, Spain.
This study presents the longest hydrographic data series (1987-2020) for the Ría de Vigo, revealing ocean climate changes and ecosystem dynamics within the Canary Current upwelling system. The reprocessed dataset enhances understanding of coastal-shelf connectivity and supports fisheries management.
Area of Science:
- Oceanography
- Marine Ecology
- Time Series Analysis
Background:
- The Galician rías are part of the Canary Current upwelling system (CanCUS), a major eastern boundary upwelling ecosystem (EBUE).
- Seasonal northerly winds drive coastal upwelling, enriching waters and supporting significant fisheries and aquaculture.
- Understanding long-term oceanographic changes is crucial for managing these valuable ecosystems.
Purpose of the Study:
- To describe a comprehensive, long-term time series of hydrographic data from the Ría de Vigo and its adjacent shelf.
- To provide a unified, quality-controlled dataset for studying ocean climate variability and ecosystem functioning.
- To enhance understanding of connectivity between coastal embayments and the continental shelf.
Main Methods:
- Biweekly to monthly collection of hydrographic data (pressure, temperature, conductivity) from August 1987 to September 2020.
- Data acquired using various vertical profilers (MARK III, SBE 9 Plus, SBE 19, SBE 25) at four stations.
- Reprocessing and quality control of historical data to ensure consistency and reusability.
Main Results:
- The longest available hydrographic dataset for the Ría de Vigo and adjacent shelf (1987-2020).
- A unified dataset, reprocessed under consistent criteria, enhancing data reliability.
- Provides a valuable resource for analyzing long-term oceanographic trends and ecosystem changes.
Conclusions:
- The dataset offers critical insights into the Canary Current upwelling system's dynamics.
- Facilitates research on coastal-shelf interactions and climate change impacts.
- Supports sustainable management of fisheries and aquaculture in the region.
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