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