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patterns such as the Loop Current along the WFS, continuing as the Florida Current (FC) in
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the Straits of Florida (southern branch along the Florida Keys and northern branch along
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the EFS). The Loop Current/Florida Current system around South Florida constitutes the
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evolution of the Gulf Stream over the region [25], carrying warm Caribbean waters toward
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the Atlantic Ocean. The meandering of the FC through the Straits of Florida is associated
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with mesoscale eddy activity to the north (along the Florida Keys; [26]) and the south
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(along the Cuban coast, [27,28]). The cyclonic eddies [26,29] and the proximity of the FC to
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the southern WFS [30] affect the local circulation and SST distribution over the southern
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WFS and the Florida Keys. The Loop Current evolution and the accompanying Loop
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Current Frontal Eddies [31,32] over the shelf break of the WFS, together with the prevailing
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atmospheric conditions (winds and heat fluxes), determine the SST variability over the
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shelf [33β35]. Upwelling and downwelling processes under favorable wind conditions
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may also alter the surface temperature levels along the western [36,37] and eastern [38,39]
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Florida coasts. South Florida has a tropical climate, characterized by a wet summer season
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and a dry one from mid-fall through late spring [40]. Hurricane-induced winds that may
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occur during tropical storm events (typically from June to November) may control the
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ocean circulation, the vertical mixing and the SST distribution of the affected coastal regions.
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The frequency of hurricanes has been rather constant through time, but there is evidence of
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upward trends in the intensity of the strongest hurricanes, showing increasing trends of
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the wind speed around 13 Β± 6 m/s/century [41].
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In this study, we focus on the relationship between MHW events and the spatial and
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temporal SST variability over the South Florida coastal region during the most recent
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40-year period (1982β2021). We have adopted a methodology that uses high-resolution
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(~5 km) satellite observations, field observations, meteorological data, and numerical hydrodynamic simulations. We discuss the interannual variability and the spatial differences
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Water 2022, 14, 3840 4 of 28
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between coastal regions of South Florida with high environmental interest (e.g., coral
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reefs, seagrass beds, mangrove forests) or extensive urban infrastructure and population
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(e.g., Miami metropolitan area). The main motivation of the study is to contribute to the
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understanding of climate change impacts around the coastal areas of South Florida, by
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examining the increasing temperature trends (SST) in the surrounding ocean waters and
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for the first time, the resulting MHWs that can impact the marine and urban environments.
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The goal is to identify the SST differences between the South Florida sub-regions and the
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respective coastal waters during the last four decades. This can be potentially useful to the
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research on the implications between physical and biochemical properties. We will also
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evaluate the environmental met-ocean factors that are responsible for the interannual SST
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variability and trends of each coastal area, focusing on the formation of MHWs and their
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interannual variability over this region. The related along-shore variability and interannual
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trends along the entire coastal region, which is of great ecological and socioeconomic
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importance (especially due to coral reef ecosystems, [42,43]), will be also discussed.
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More information about the methods and data are given in Section 2. Section 3 presents
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the main results concerning the SST variability and trends, and the formation of MHWs.
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Section 4 discusses the atmospheric and ocean effects on temperature distribution. Finally,
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a summary with concluding remarks is presented in Section 5.
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2. Materials and Methods
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The data used in the current study consist of satellite observations (SST), atmospheric
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modeling data, ocean field observations, and simulated ocean fields covering parts or the
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entire study period (1 January 1982 to 31 December 2021). A summary of the data and their
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main characteristics is presented in Table 1.
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Table 1. Main characteristics of observational and modeling data used in the study (parameter, type,
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spatial and temporal resolution, area coverage, dataset source).
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Parameter Type Res. Step Period Area Source
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SST Satellite 0.05β¦ Daily 1982β2021 Florida Straits, South
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Florida, and Florida Keys
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Copernicus
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System
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Air temperature
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(2 m)
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ECMWF
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Reanalysis
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(ERA5)
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0.25β¦ Hourly 1982β2021 Florida Straits, South
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Florida, and Florida Keys
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Copernicus
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System
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Wind Components
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(10 m)
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ECMWF
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Reanalysis
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(ERA5)
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0.25β¦ Hourly 1982β2021 Florida Straits, South
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Florida, and Florida Keys
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Copernicus
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System
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Radiations
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(Shortwave,
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Longwave, Sensible,
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Latent)
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ECMWF
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Reanalysis
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(ERA5)
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0.25β¦ Hourly 1982β2021 Florida Straits, South
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Florida, and Florida Keys
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Copernicus
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System
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SST In Situ Buoy Hourly
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2005
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2005β2010
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2005β2007
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Key West
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Key Largo
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Biscayne Bay
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NOAA/NDBC
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Air Temperature In Situ Buoy Hourly 2012β2020 Biscayne Bay NOAA/NDBC
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Temperature and
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Currents
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Hydrodynamic
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Modeling 0.01β¦ 6-hourly 2012β2020 Florida Straits, South
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Florida, and Florida Keys
|
University of
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Miami
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