FN Archimer Export Format
PT J
TI A new Sargassum drift model derived from features tracking in MODIS images
BT 
AF Podlejski, Witold
   Berline, Léo
   Nerini, David
   Doglioli, Andrea
   Lett, Christophe
AS 1:1,2;2:1;3:1;4:1;5:2;
FF 1:;2:;3:;4:;5:;
C1 Aix Marseille Univ, Université de Toulon, CNRS, IRD, MIO, Marseille, France
   Marbec, Université de Monpellier, CNRS, Ifremer, IRD, Sète, France
C2 UNIV AIX MARSEILLE, FRANCE
   IRD, FRANCE
UM MARBEC
IN WOS Cotutelle UMR
   copubli-france
   copubli-univ-france
IF 5.8
TC 3
UR https://archimer.ifremer.fr/doc/00822/93349/100154.pdf
LA English
DT Article
DE ;Sargassum algae;Computer vision;Regression;Tracking;Remote sensing;Drift;Collocation;Drifter;Tropical North Atlantic;Time series
AB 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 ≈3 % (≈2 % of pure windage), but also show the existence of a deflection angle of ≈10° 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. 
PY 2023
PD MAR
SO Marine Pollution Bulletin
SN 0025-326X
PU Elsevier BV
VL 188
UT 000944444200001
DI 10.1016/j.marpolbul.2023.114629
ID 93349
ER

EF