Page 388 - Economia Azul - versão: inglês

Figure 2. Proposal for a new GOOS-Brasil organizational structure
Figure 1. Representative diagram of Framework of Ocean Observing
(FOO) elements, used by GOOS GOOS-BRASIL

COI OVERALL SECIRM
COORDINATION
Framework for Ocean Observing Process Diagram

MMA MEC MME MD MCTI

Issues
AUTONOMOUS REMOTE FIXED MOBILE
PLATFORMS PLATFORMS PLATFORMS PLATFORMS BEST
Measurement Needs PRACTICES

GLIDERS/ TIDE GRAPHS HYDRODYNAMIC
Essential Ocean Variables AUV/ ASV HYDROGRAPHY MODELING
REMOTE
SENSING SHALLOW MODELING
DERIVATIVES/ ANCHORAGES WAVE
ARGO DEEP WATER SHIPS OF
Buoys, Satellites Aircraft ANCHORAGES OPPORTUNITY DATA
Moorings Ships of Remotely (AUVs) TERRESTRIAL MARINE ANIMAL NETWORK
Issues Impact Data Products Creation Data Assembly Frequency Floats, Sub-surface Drifters Source: GOOS-Brasil, 2022
(ROVs)
TRACKING
STATIONS
Autonomus
Opportunitiy
Operated
Underwater
(HF) High,
Vehicles
Vehicles
Radar
Observations Deployment 4. Other Ocean observation and modeling systems available in Brazil
and Maintenance Amazon Coastal Observatory (OCA) of helping several socioeconomic sectors in
the region, based on hydrodynamic models
Due to the territorial dimension, high at a regional scale (the entire coastal zone
Source: Lindstrom et al., 2012 complexity and importance of the Ama- of Amazon) and at a local scale (small estu-

zon coastal zone in the global context, the aries and floodplains). In addition, OCA de-
Coastal Observatory of the Amazon (OCA) velops citizen science projects to integrate
was created to systematize and standard- scientific and traditional knowledge on
ize the meteoceanographic data that have marine environmental monitoring issues. In
been collected, making them available and particular, the Observatory has been sup-
promoting multidisciplinary scientific devel- porting scientific development and publica-
opment in the region. Meteoceanographic tions on fundamental and peculiar themes
operational models are being developed by for that region, such as tidal propagation
the OCA-Predict platform, with the purpose (ROLLNIC and ROSÁRIO, 2013; PRESTES

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