Publications des scientifiques de l'IRD

Podlejski W., Nerini D., Doglioli A., Lett Christophe. (2023). A new Sargassum drift model derived from features tracking in MODIS images. Marine Pollution Bulletin, 188, p. 114629 [9 p.]. ISSN 0025-326X.

Titre du document
A new Sargassum drift model derived from features tracking in MODIS images
Année de publication
2023
Type de document
Article référencé dans le Web of Science WOS:000944444200001
Auteurs
Podlejski W., Nerini D., Doglioli A., Lett Christophe
Source
Marine Pollution Bulletin, 2023, 188, p. 114629 [9 p.] ISSN 0025-326X
Massive Sargassum stranding events affect erratically numerous countries from the Gulf of Guinea to the Gulf of Mexico. Forecasting transport and stranding of Sargassum aggregates require progress in detection and drift modelling. Here we evaluate the role of currents and wind, i.e. windage, on Sargassum drift. Sargassum drift is computed from automatic tracking using MODIS 1 km Sargassum detection dataset, and compared to reference surface current and wind estimates from collocated drifters and altimetric products. First, we confirm the strong total wind effect of approximate to 3 % (approximate to 2 % of pure windage), but also show the existence of a deflection angle of approximate to 10 degrees between Sargassum drift and wind directions. Second, our results suggest reducing the role of currents on drift to 80 % of its velocity, likely because of Sargassum resistance to flow. These results should significantly improve our understanding of the drivers of Sargassum dynamics and the forecast of stranding events.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Limnologie biologique / Océanographie biologique [034] ; Pollution [038] ; Télédétection [126]
Description Géographique
ATLANTIQUE NORD ; ZONE TROPICALE
Localisation
Fonds IRD [F B010087480]
Identifiant IRD
fdi:010087480
Contact