Triñanes Fernández, Joaquín ÁngelPutman, N.F.Goni, GHu, C.Wang, M.2026-01-142026-01-142023-03-22Trinanes, J., Putman, N. F., Goni, G., Hu, C., & Wang, M. (2023). Monitoring pelagic Sargassum inundation potential for coastal communities. Journal of Operational Oceanography, 16(1), 48–59. https://doi.org/10.1080/1755876X.2021.1902682https://hdl.handle.net/10347/45143Esta aportación presenta un sistema de monitorización operacional para la estimación del potencial de inundación por Sargassum, basado en técnicas de procesamiento de datos y teledetección. La contribución del solicitante se sitúa en el diseño del pipeline computacional, la definición de métricas e indicadores derivados y la validación sistemática de resultados. El trabajo describe un sistema de información orientado a usuarios finales, con énfasis en automatización, reproducibilidad y soporte a la toma de decisiones.Pelagic Sargassum is a buoyant macroalgae that forms rafts at the ocean surface and serves as abiologically rich habitat for hundreds of diverse marine species. Since 2011, massive blooms ofSargassum have occurred in the tropical Atlantic and swept through the western tropicalAtlantic, Caribbean Sea, and Gulf of Mexico. These recurring annual events have causedsignificant disruptions to coastal communities throughout the region, negatively impactinghuman health, tourism, fishing, navigation, and nearshore ecosystems. We present here theSargassum Inundation Report (SIR), a product that uses satellite-based methodology to estimateand predict the future coastal inundation of pelagic Sargassum. Results from one year of SIRsshow strong spatiotemporal differences in the potential of coastal inundation across the Intra-American Seas, and provide a comprehensive method for assessing its geographic distributionand temporal variation. Comparisons of SIRs to opportunistically collected photographs indicatea qualitative concordance between satellite and in situ observations. This work highlights thevalue of satellite observations, basin-wide and seasonal monitoring, and emphasises the needfor sub-regional and weekly forecasting. SIRs show considerable promise as a tool that caneventually incorporate improved spatiotemporal resolution Sargassum imagery, oceancirculation, wind, and wave conditions to forecast the movement of Sargassum into coastal areas.eng© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Environmental monitoring systemsData integrationOperational oceanographyRemote sensing data processingDecision support systemsSargassum120317 Informática251001 Oceanografía biológicajournal article10.1080/1755876X.2021.1902682open access