POSTER SESSION 3
15:30–17:30, Wednesday, September 16
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
ABSTRACT 1146 | POSTER 199
ALARMES-ÁGUA AND CONTOPS: A COUPLED IN SITU–SATELLITE FRAMEWORK FOR CONTINUOUS OPTICAL MONITORING OF SOUTH AMERICAN AQUATIC SYSTEMS
The variability of optical properties in South American oceanic, coastal, and inland waters remains not yet fully characterized, partly due to still-developing and spatially heterogeneous sampling strategies. This project develops an integrated observational framework combining a Ship-Based Continuous Optical Data Acquisition System (ContOPs) with a near-real-time Orbital Remote Sensing (ORS) platform (Alarmes-Água) to expand data availability and improve optical characterization. ContOPs enables continuous measurements of Apparent (AOPs) and Inherent optical properties (IOPs) through a customized pySAS radiometric system and the Inline System, both originally developed by the University of Maine. The pySAS system was adapted to operate with TriOS-V1 radiometers on a compact platform suitable for small- and medium-sized vessels, while the Inline System employs a cascade filtration approach to ensure reliable performance across a wide turbidity range. Alarmes-Água integrates multi-sensor satellite data to provide near-real-time observations, supporting the analysis of rapid biogeochemical dynamics driven by meteorological, oceanographic, and hydrological processes. Initial applications in Guanabara Bay (Rio de Janeiro, Brazil) reveal operational challenges and strong potential, capturing complex AOP/IOP interactions and supporting robust satellite-based IOP retrievals. Future work will investigate the variability of the Guanabara Bay plume and its implications for ORS retrieval strategies. Additional measurements from offshore campaigns (e.g., Trindade Island) aim to support the development of datasets for future PACE calibration and validation (cal/val). From this project, we expect to enhance regional capacity building, strengthen in situ–satellite synergy, and deliver high-quality, shareable datasets for both local and global scientific and environmental applications.
Lino Sander, Federal University of Rio de Janeiro – UFRJ, [email protected], https://orcid.org/0000-0001-8839-5366
Nils Haentjens, School of Marine Sciences – University of Maine, [email protected]
Renata Libonati, Federal University of Rio de Janeiro – UFRJ, [email protected]
Luiz Felipe Faria de Sousa, Federal University of Rio de Janeiro – UFRJ, [email protected]
Antonio Rodrigues, Federal University of Rio de Janeiro – UFRJ, [email protected]
Lucas Pacheco, Federal University of Rio de Janeiro – UFRJ, [email protected]
Emmanuel Boss, School of Marine Sciences – University of Maine, [email protected]
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
