Articles | Volume 14, issue 4
https://doi.org/10.5194/os-14-827-2018
© Author(s) 2018. 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-14-827-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Aug 2018
Research article |
| 24 Aug 2018
| 24 Aug 2018
Impact of HF radar current gap-filling methodologies on the Lagrangian assessment of coastal dynamics
Ismael Hernández-Carrasco
CORRESPONDING AUTHOR
ICTS-SOCIB, 07122, Palma, Spain
Lohitzune Solabarrieta
King Abdullah University of Science and Technology (KAUST), Red Sea Research Center (RSRC), Biological and Environmental Sciences and Engineering Division (BESE), Thuwal 23955-6900, Saudi Arabia
Anna Rubio
AZTI Marine Research, 20110, Pasaia, Spain
Ganix Esnaola
Nuc. Eng. and Fluid Mechanics Department, Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Donostia-San Sebastian, Spain
Joint Research Unit BEGIK, Instituto Español de Oceanografía (IEO), Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), 48620, Plentzia, Spain
Emma Reyes
ICTS-SOCIB, 07122, Palma, Spain
Alejandro Orfila
Oceanography and Global Change Department, IMEDEA (CSIC-UIB), 07190, Esporles, Spain
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Xabier Davila, Anna Rubio, Luis Felipe Artigas, Ingrid Puillat, Ivan Manso-Narvarte, Pascal Lazure, and Ainhoa Caballero
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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.
Lohitzune Solabarrieta, Ismael Hernández-Carrasco, Anna Rubio, Michael Campbell, Ganix Esnaola, Julien Mader, Burton H. Jones, and Alejandro Orfila
Ocean Sci., 17, 755–768, https://doi.org/10.5194/os-17-755-2021, https://doi.org/10.5194/os-17-755-2021, 2021
Short summary
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Ivan Manso-Narvarte, Erick Fredj, Gabriel Jordà, Maristella Berta, Annalisa Griffa, Ainhoa Caballero, and Anna Rubio
Ocean Sci., 16, 575–591, https://doi.org/10.5194/os-16-575-2020, https://doi.org/10.5194/os-16-575-2020, 2020
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Short summary
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
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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.
I. Hernández-Carrasco, J. Sudre, V. Garçon, H. Yahia, C. Garbe, A. Paulmier, B. Dewitte, S. Illig, I. Dadou, M. González-Dávila, and J. M. Santana-Casiano
Biogeosciences, 12, 5229–5245, https://doi.org/10.5194/bg-12-5229-2015, https://doi.org/10.5194/bg-12-5229-2015, 2015
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We have reconstructed maps of air-sea CO2 fluxes at high resolution (4 km) in the offshore Benguela region using sea surface temperature and ocean colour data and CarbonTracker CO2 fluxes data at low resolution (110 km).
The inferred representation of pCO2 improves the description provided by CarbonTracker, enhancing small-scale variability.
We find that the resolution, as well as the inferred pCO2 data itself, is closer to in situ measurements of pCO2.
I. Hernández-Carrasco, C. López, A. Orfila, and E. Hernández-García
Nonlin. Processes Geophys., 20, 921–933, https://doi.org/10.5194/npg-20-921-2013, https://doi.org/10.5194/npg-20-921-2013, 2013
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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.
A new methodology to reconstruct HF radar velocity fields based on neural networks is developed....
