Articles | Volume 18, issue 6
https://doi.org/10.5194/os-18-1703-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-1703-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Dec 2022
Research article |
| 05 Dec 2022
| 05 Dec 2022
Modelling floating riverine litter in the south-eastern Bay of Biscay: a regional distribution from a seasonal perspective
Irene Ruiz
CORRESPONDING AUTHOR
AZTI, Marine Research, Basque Research and Technology Alliance (BRTA),
Pasaia, 20110, Spain
Anna Rubio
AZTI, Marine Research, Basque Research and Technology Alliance (BRTA),
Pasaia, 20110, Spain
Ana J. Abascal
IHCantabria – Instituto de Hidráulica Ambiental de la Universidad
de Cantabria, Santander, 39011, Spain
Oihane C. Basurko
AZTI, Marine Research, Basque Research and Technology Alliance (BRTA),
Pasaia, 20110, Spain
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Upwelling is an important process that impacts water quality and aquaculture production in coastal areas. In this work we present a new methodology to monitor this phenomenon in two different regions by using surface current estimations provided by remote sensing technology called high-frequency radar.
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The ocean is a turbulent system, full of meandering currents and fronts of various scales. These processes can influence the distribution of microscopic algae or phytoplankton by upwelling deep, nutrient-rich waters to the sunlit surface or by actively gathering and accumulating them. Our results suggest that, at the surface, salinity is the main conditioning factor for phytoplankton distribution. However, at the subsurface, oceanic currents influence phytoplankton distribution the most.
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Ocean Sci., 17, 755–768, https://doi.org/10.5194/os-17-755-2021, https://doi.org/10.5194/os-17-755-2021, 2021
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High-frequency radar technology measures coastal ocean surface currents. The use of this technology is increasing as it provides near-real-time information that can be used in oil spill or search-and-rescue emergencies to forecast the trajectories of floating objects. In this work, an analog-based short-term prediction methodology is presented, and it provides surface current forecasts of up to 48 h. The primary advantage is that it is easily implemented in real time.
Ivan Manso-Narvarte, Erick Fredj, Gabriel Jordà, Maristella Berta, Annalisa Griffa, Ainhoa Caballero, and Anna Rubio
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Our main aim is to study the feasibility of reconstructing oceanic currents by extending the data obtained from coastal multiplatform observatories to nearby areas in 3D in the SE Bay of Biscay. To that end, two different data-reconstruction methods with different approaches were tested, providing satisfactory results. This work is a first step towards the real applicability of these methods in this study area, and it shows the capabilities of the methods for a wide range of applications.
Ivan Manso-Narvarte, Ainhoa Caballero, Anna Rubio, Claire Dufau, and Florence Birol
Ocean Sci., 14, 1265–1281, https://doi.org/10.5194/os-14-1265-2018, https://doi.org/10.5194/os-14-1265-2018, 2018
Short summary
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Our main aim is to compare two different measuring systems of the surface ocean currents: land-based, high-frequency radar and satellite altimetry. Results show that the surface currents detected by both systems agree up to a 70 %, mostly in areas of persistent currents. This work is a first step in the combination of both technologies for an improved monitoring of the coastal surface ocean dynamics.
Ismael Hernández-Carrasco, Lohitzune Solabarrieta, Anna Rubio, Ganix Esnaola, Emma Reyes, and Alejandro Orfila
Ocean Sci., 14, 827–847, https://doi.org/10.5194/os-14-827-2018, https://doi.org/10.5194/os-14-827-2018, 2018
Short summary
Short summary
A new methodology to reconstruct HF radar velocity fields based on neural networks is developed. Its performance is compared with other methods focusing on the propagation of errors introduced in the reconstruction of the velocity fields through the trajectories, Lagrangian flow structures and residence times. We find that even when a large number of measurements in the HFR velocity field is missing, the Lagrangian techniques still give an accurate description of oceanic transport properties.
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Short summary
The south-eastern Bay of Biscay is an accumulation zone for marine litter. Yet, the behaviour of the riverine litter fraction reaching the sea is poorly understood. We resolve this by studying litter buoyancy and transport, based on high-frequency radar observations and Lagrangian simulations. We show large seasonal and regional differences between items' behaviour, particularly in summer when highly buoyant litter beaches faster and Gipuzkoa and Pyrénées-Atlantiques regions are mostly affected.
The south-eastern Bay of Biscay is an accumulation zone for marine litter. Yet, the behaviour of...
