Articles | Volume 7-osr10
https://doi.org/10.5194/sp-7-osr10-7-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/sp-7-osr10-7-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 Sep 2026
| OSR10 | Chapter 2.4
| 30 Sep 2026 | OSR10 | Chapter 2.4
Towards a multi-product methodology for calculating the ocean monitoring indicator of SST extremes in the IBI region
Álvaro de Pascual Collar
CORRESPONDING AUTHOR
Nologin Oceanic Weather Systems, Madrid, 28045, Spain
Axel Alonso Valle
Nologin Oceanic Weather Systems, Madrid, 28045, Spain
Alex Gallardo
Nologin Oceanic Weather Systems, Madrid, 28045, Spain
Marta de Alfonso Alonso-Muñoyerro
Puertos del Estado, Madrid, 28042, Spain
Begoña Pérez Gómez
Puertos del Estado, Madrid, 28042, Spain
Stefania Ciliberti
Nologin Oceanic Weather Systems, Madrid, 28045, Spain
Marcos G. Sotillo
Nologin Oceanic Weather Systems, Madrid, 28045, Spain
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This description and mapping of coastal sea level monitoring networks in the Mediterranean and Black seas reveals the existence of 240 presently operational tide gauges. Information is provided about the type of sensor, time sampling, data availability, and ancillary measurements. An assessment of the fit-for-purpose status of the network is also included, along with recommendations to mitigate existing bottlenecks and improve the network, in a context of sea level rise and increasing extremes.
Cited articles
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Short summary
This study improves the monitoring of extreme sea surface temperature events in the Iberia–Biscay–Ireland region. We tested new data sources and combined information from different models and satellites to provide more consistent results and characterize inter-product spread. The findings show that these methods make the indicator more reliable and useful for supporting climate and ocean management decisions.
This study improves the monitoring of extreme sea surface temperature events in the...
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