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De Martonne aridity index is the ratio between the annual amount of precipitation and anual mean of temperature plus 10 Celsius.
mai(pr, taverage, data_names = NULL, na.rm = FALSE, ...)
daily precipitation, mm
daily mean temperature, Celsius
names of each period of time
logical. Should missing values (including NaN) be removed?
further arguments passed to or from other methods
index value
$$MAI = \frac{P} {TG+10}$$ P = annual precipitation (mm); TG = mean annual air temperature (Celsius)
De Martonne E., 1926. Une nouvelle fonction climatologique: L<U+2019>indice d<U+2019>aridit<U+00E9>. La Meteorologie, 449-458.
# NOT RUN { data(data_all) mai(pr = data_all$rr, taverage = data_all$tg) # }
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