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A novel framework for the selection of drifter deployment sites to optimize satellite particle backscatter validation

delete2026-07-09
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OA
AI
J
Jacopo Busatto *
M
María Laura Zoffoli
L
Luca Centurioni
F
Federico Falcini
S
Salvatore Marullo
R
Rosalia Santoleri
G
Gianluca Volpe
G
Guglielmo Lacorata
M
Marco Bellacicco
DOI:10.1016/j.srs.2026.100464delete
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Abstract

Abstract

En 中文
Satellite observations of particulate backscattering ( bbp ) have greatly enhanced our understanding of ocean biology and biogeochemistry on large scales, serving as proxies for phytoplankton biomass or particulate organic carbon. Particle backscatter estimates are essential for estimating organic carbon stocks and fluxes and ocean productivity, which is subsequently incorporated into coupled physical–biogeochemical models. However, the paucity of in situ multi-band bbp data hinders efforts to quantify uncertainties in satellite bbp and its derived products. To address these observational deficiencies, an upgraded Surface Velocity Programme (SVP) drifting buoys have been equipped with bio-optical and oxygen sensors, the Biogeochemical-SVP (BGC-SVP) drifters. The high sampling frequency, combined with a Lagrangian approach, enables it to overpass numerous pixels in a single day, thus providing large in situ datasets for validation of bbp , not achievable by other in situ platforms. Thanks to their configuration, they also capture variability at satellite sub- and pixel scales, complementing satellite observations. Here, we design and develop a novel observing system tailored to validate satellite bbp products, integrating remote sensing, Lagrangian modeling, and in situ data. The main innovations include: (i) advanced Lagrangian simulations using a sub-grid kinematic model applied to ocean currents datasets; and (ii) the constraining of simulated trajectories with gapped satellite bbp data to assess variability and identify optimal deployment sites for BGC-SVP drifters. In the next future the observing system framework here developed has potential applications for validating other ocean color variables (e.g., chlorophyll-a) across ongoing (e.g., Sentinel-3/OLCI, PACE/OCI) and future satellite missions (e.g., ESA CHIME, Sentinel Next-Generation).
Keywords:
Ocean color observations
Lagrangian simulations
Biogeochemical-SVP drifters
Satellite validation
Particulate backscattering coefficient
Climate studies

Journal

Science of Remote Sensing cover
Science of Remote Sensing
IF:
5.2
Papers:
457
Citations:
980

Organization

N
national research council
Scholars:
1.6K
Papers: 657
Citations: 0
U
University of California
Scholars:
7.3K
Papers: 2.8K
Citations: 8.3W
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