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The quantified areas of each coastal re-  billion) in 2030. We also predict that, un-  storms, wave conditions, floods, droughts,   provide unprecedented detail on local cli-
 source,  for both scenarios, are represent-  der the BAU scenario, Recife’s total carbon   storms. tropical and extratropical cyclones,   mate impacts. These will help improve ear-
 ed in Table 2. The results indicate that, in   emissions are forecast to grow 79.1% rela-  heat waves and cold waves.  ly warning systems and can be integrated
 a critical scenario of sea level rise (1.0 m)   tive to carbon levels. 2014 to the year 2030.  Ocean  extremes  are  critical  as  coastal   into disaster preparedness and long-term
 in 2100, significant increases in the area   After examining the potential costs and   regions are home to approximately 40%   adaptation.  Investment  in  in-situ  obser-
 impacted are expected when compared to   benefits of the wide range of energy ef-  of the world’s population and 75% of the   vation platforms is necessary to improve
 the 0.5 m elevation scenario above current   ficiency, renewable energy and other low   largest metropolitan areas are in coastal   initial forecasting conditions and provide
 mean sea level.  carbon measures that could be implement-  areas. Consequently, a significant propor-  “ground truth” for model predictions and
 Finally, regarding adaptation to climate   ed in different sectors of the city, we found   tion  of  global  economic  activity  depends   projections. Solutions that adapt to climate
 change for the city of Recife, Gouldson et   that – compared to BAU trends, Recife   on coastal and oceanic zones, from fish-  change can generate several co-benefits,
 al. (2020) carried out a study to identify the   could reduce its gas emissions by 2030 by:   ing and agriculture to the exploitation of   including progress towards the UN Sustain-
 best ways to establish a low carbon city in   (i) 24.3% through profitable investments in   natural resources. In addition, coastal and   able Development Goals (SDGs). Interdisci-
 2030.  The authors estimated that Recife’s   the city that could more than self-finance/  oceanic  regions  are  responsible  for  gen-  plinary research is essential to identify the
 GDP was R$35.6 billion (US$16.55 billion)   sustain  in  commercial  terms  throughout   erating  renewable  and  non-renewable   co-benefits and trade-offs of adaptation
 in 2014, and if recent trends continue, we   their lives. For this purpose, an investment   energy and transporting 80% of globally   strategies  to optimize  their planning  and
 estimate that GDP will grow to R$ 70.54 bil-  of R$ 7.79 billion (US$ 3.32 billion) would   traded goods. They also provide protec-  implementation.
 lion (USD 32.82 billion) by 2030. We also   be required, resulting in annual savings of   tion from weather-related extremes such   In other words, “the oceans we need
 find that Recife’s total energy expenditure in   R$ 1.37 billion (US$ 585.25 million), return-  as storms. Climate change will exacerbate   for the future we want” advocates a grow-
 2014 was R$ 3.40 billion (US$ 1.45 billion),   ing the investment in 5.7 years. and gen-  existing vulnerability and impacts, primarily   ing level of scientific knowledge that is ca-
 which means 8.7% of all revenue collected   erating annual savings for the duration of   through sea level rise and ocean extremes   pable of identifying actions that guarantee
 in Recife is currently committed to Energy.   the measures; and (ii) 31.0% with no-cost   such as coastal storms, extreme storms   ecosystem services and the transition from
 Increases in energy expenditures are esti-  measures  that  could  be  paid  by  reinvest-  (strong winds accompanied by waves of   an Economy of the Sea to a Blue Economy.
 mated at 12.1% of the city’s GDP by 2030.  ing the profits generated by cost-effective   extreme height), extreme tropical and ex-  In this chapter, based on concrete exam-
 The analysis results indicated that the   measures. Such measures would require an   tratropical cyclones, heat waves marine en-  ples, we approach the state of the art of un-
 continuation of the BAU trend in the period   investment of BRL 14.91 billion (US$ 6.35   vironments, extreme deoxygenation, and   derstanding some of the main geophysical
 up to 2030 would increase energy use in Re-  billion), generating annual cost savings of   acidification events. These ocean extremes   phenomena associated with climate change
 cife by 94.1% compared to 2014 levels and   BRL 1.35 billion (US$ 575.01 million), re-  affect marine ecosystems, food availability,   that have important consequences on the
 that the total energy expenditure for the   turning the investment in 11 years and   and therefore local and global economies.   ocean and climate and, consequently, on the
 city will increase by 174.2% in compared   generating annual savings for the duration   As ocean extremes pose increasing chal-  different sectors of the country’s economy.
 to 2014 levels to R$9.32 billion (US$ 3.97   of the measures.  lenges for coastal areas, climate adaptation   Evidence of the role played by the At-
                  and coastal  resilience  must be key objec-  lantic and Pacific oceans in the occurrence
 6. Conclusions and perspectives  tives in the planning and implementation   of  extreme  weather  events  and  their  so-
                  of coastal zone policies.                 cio-economic and environmental impacts
 The ocean plays a key role in water, en-  intense, having a devastating effect on   Successful adaptation draws on a wide   in the region requires that the latter receive
 ergy, and carbon cycles. It absorbs 93%   marine ecosystems and local coastal com-  range of resources, from science-based   special attention. However, the mecha-
 of excess heat from man-made climate   munities. At the same time, the ocean pro-  modeling to local community knowl-  nisms of interaction between tropical ba-
 change and a third of CO2 emissions. Con-  vides heat and moisture to the atmosphere   edge, and encompasses many types of   sins and their implications for the regional
 sequently,  marine  heat  waves,  extreme   and as such is also responsible for increas-  interventions,  from  engineered  structures   climate are still not well understood. There-
 ocean acidification and deoxygenation   ing precipitation, temperature and wind   to nature-based solutions. In particu-  fore, more in-depth studies are needed for a
 events  are becoming  more frequent  and   extremes over sea and land, intensifying   lar, next-generation climate models will     better understanding of these mechanisms



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