Table 1

Fit parameters of Ne and RODI distribution.

HSA
LSA
Ne RODI Ne RODI
Low-latitudes NH Lognorm (s = 0.97, loc = 0.08, scale = 3.15) Lognorm (s = 0.91, loc = −0.00, scale = 0.03) Exponweib (a = 11.62, c = 0.47, loc = 0.03, scale = 0.11) Exponweib (a = 65.75, c = 0.32, loc = −0.00, scale = 0.00)
SH Lognorm (s = 1.10, loc = 0.07, scale = 2.85) Lognorm (s = 0.94, loc = −0.00, scale = 0.03) Lognorm (s = 0.81, loc = 0.01, scale = 1.06) Exponweib (a = 74.71, c = 0.31, loc = −0.00, scale = 0.00)
Mid-latitudes NH Exponweib (a = 24.07, c = 0.83, loc = −0.56, scale = 0.43) Exponweib (a = 54.14, c = 0.27, loc = −0.00, scale = 0.00) Exponnorm (K = 2.37, loc = 0.32, scale = 0.15) Exponweib (a = 61.28, c = 0.30, loc = −0.00, scale = 0.00)
SH Gamma (a = 1.23, loc = 0.1, scale = 1.37) Exponweib (a = 59.66, c = 0.25, loc = −0.00, scale = 0.00) Exponweib (a = 1.29, c = 1.28, loc = 0.1, scale = 0.57) Exponweib (a = 74.97, c = 0.28, loc = −0.00, scale = 0.00)
High-latitudes NH Chi (df = 2.0, loc = 0.1, scale = 0.93) Exponweib (a = 3.17, c = 0.63, loc = −0.00, scale = 0.06) Exponweib (a = 0.39, c = 3.06, loc = 0.1, scale = 0.6) Exponweib (a = 8.78, c = 0.52, loc = −0.01, scale = 0.01)
SH Chi (df = 1.01, loc = 0.1, scale = 1.62) Exponweib (a = 2.36, c = 0.63, loc = −0.00, scale = 0.08) Chi (df = 1.24, loc = 0.1, scale = 0.51) Exponweib (a = 2.31, c = 0.68, loc = −0.00, scale = 0.04)
Polar caps NH T (df = 5.86, loc = 1.30, scale = 0.56) Lognorm (s = 0.94, loc = −0.01, scale = 0.14) Exponweib (a = 0.43, c = 2.96, loc = 0.1, scale = 0.6) Lognorm (s = 0.80, loc = −0.01, scale = 0.05)
SH Chi (df = 0.98, loc = 0.1, scale = 1.73) Exponweib (a = 3.52, c = 0.55, loc = −0.00, scale = 0.05) Chi (df = 1.26, loc = 0.1, scale = 0.49) Lognorm (s = 0.94, loc = −0.00, scale = 0.06)

Here the location (loc) keyword specifies the mean and scale – the standard deviation. For Gamma takes a as a shape parameter.

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