Fig. 5: Wave statistics for Fuvahmulah. | Nature Communications

Fig. 5: Wave statistics for Fuvahmulah.

From: Considering socio-political framings when analyzing coastal climate change effects can prevent maldevelopment on small islands

Fig. 5

a Annual significant wave height distribution for hindcast data between 1980 to 2019 (sample size n = 350,640). b shows the discrete marginal distribution between peak wave direction θp and significant wave height Hs for the dry season, while d contains results for the wet season. Here, the colorbar shows the occurrence probability of each 0.5 wave direction and 0.05 m wave height cell. The gray areas visualize the significant peak direction range θp,r for each subset, containing the directions which, when combined, have the highest 33% occurrence probability. c and e show wave roses for the dry and wet season. f are significant wave heights for 2010–2019 (here labeled as “Historical”; sample size n = 204,467; undefined “NaN”, or “Not a Number”, values remain unconsidered) and Representative Concentration Pathway (RCP) 4.5 and 8.5 (sample size n = 230,203; undefined “NaN” values remain unconsidered). Boxplots in a and f are done with the corresponding boxplot-function in Python’s module matplotlib. Here, the orange line of the boxplot is the median, the box limits are the upper and lower quartiles while whiskers mark the range of the non-outlier data and extend the box limits by 1.5  IQR.

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