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6. Future prospects programs, whenever possible, and seeking, Despite the budget constraints faced by
via entrepreneurship, resources from the the Science, Technology, and Innovation
The ocean observation and modeling other regions in Brazil, preferably through an private sector, for the full use of the infor- sector in recent years (ANGELO, 2019), it is
systems installed in the country need to be incentive program that involves sectors that mation that is provided. Only in this way will estimated that, with the implementation of
connected to similar regional and global benefit from engagement in coastal observa- it be possible to foresee that oceanic and the new Social Organization for the Sea (OS
systems, allowing the correct monitoring tional networks. There are several examples coastal observatories will be able to evolve for the Sea), an important step will be taken
of ocean dynamics, almost always driven of successful use of observational systems by in a sustainable way and provide greater in integration of observations, research in-
by physical, but also chemical and biolog- the port and oil and gas exploration sector. returns to local societies and commercial frastructure and operational modeling sys-
ical processes, on different temporal and Although this article describes some interests, from the resources invested. tems across the country (FRANZ et al., 2021).
spatial scales, processes that do not obey interactions and initiatives underway in
legal boundaries. the country, the infrastructure to support 7. Conclusions
Through operational numerical mod- oceanic research represents the main fac-
els that rely on data obtained from these tor that restricts the integration and sus- It is unequivocally understood that it is of these observations and oceanic infor-
observation networks installed in situ and tainable continuity of such ocean obser- essential to obtain data from the oceans mation deemed strategic for the provi-
those from orbital platforms, it becomes vations, revealing a scenario of instability and from remote orbital platforms, for a sion of inputs and the strengthening of
possible to anticipate extreme events (for for the recognition of observation systems climate and oceanic forecast capable of ad- more assertive decisions, thus helping to
example, coastal flooding, marine pollu- such as the “engine” for the Blue Econo- vising the productive sectors of the country, overcome the growing challenges of the
tion, harmful algal blooms, etc.), predict my, a scenario that deserves reflection and whether on land or at sea, within the con- future market and the Economy of the
the trajectory of pollutants released in dis- course corrections. cept of the Economy Blue. Sea. To this end, the establishment of a
tant regions in the oceans, or even coastal In addition to the need to have an in- It is essential to develop, via a research governance mechanism that promotes, in
areas (e.g., oil spills at sea from vessels or stitutional framework capable of creating network, structured to act at a tactical-op- fact, the maintenance of the production
routine operations), as well as in aid of fu- and maintaining an integrated network of erational level, an integrated system of data chain of the various production centers
ture trends of events over the coastal re- observatories, without overlaps and dedi- and information that allows us not only to and clusters will heat up the local econo-
gions. For better accuracy in forecasting cated to aspects of support and advice for obtain good results, but what is more im- my and generate business volume, which,
models, they must be validated by in situ a Blue Economy in the South Atlantic, it is portant, the desired effects, in support of in turn, will justify eventual investments in
observations, satellite observations, and necessary to recognize that the training of the Economy of the Sea. ocean observations.
improved data assimilation techniques (DA- human resources and the optimized use of The development of new technologies, Finally, as a future proposition, there is
VIDSON et al., 2019). financial resources are “stony” elements for such as autonomous vehicles and underwater the undisputed recognition of the press-
The public availability of real-time sys- the guarantee and maintenance of existing drones, capable of promoting greater agility ing observational needs for oceanic data
tematic information about the oceans, at initiatives and their correct appropriation by in operations, especially in the oil and gas sec- and the stimulus to expand the discussions
different scales (global, regional seas and the productive sectors of the country. tor, as well as reducing complex offshore div- on how to add future users, motivating a
coastal regions) is a fundamental element It should be noted that most of the ob- ing operations, are factors that reduce costs greater level of business participation, for
for sustainable economic growth, based on servation networks listed here depend on in asset management of large vessels. the benefit of a system capable of support-
the Blue Economy. research projects funded by the Federal It is expected that the business mod- ing, sustainably, the future activities to be
Case studies already available in the Government, which are short in nature, els to be implemented in the Brazilian re- carried out, for the benefit of the develop-
country demonstrate practical aspects of generally lasting 5 years, and do not have gion of the South Atlantic can make use ment of a Blue Economy in Brazil.
economy, with the input of ocean data in longer, diversified funding mechanisms ca-
business models, for example, in port areas. pable of promoting alignment. Among na-
It is therefore essential that these practices tional and regional initiatives, the produc-
are more disseminated and “borrowed” by tive sector, integrating with international

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Ocean Observation