  The effects of El Ni\~no's two distinct flavors, East Pacific (EP) and
Central Pacific (CP)/Modoki El Ni\~no, on global climate variability have been
studied intensively in recent years. Most of these studies have made use of
linear multivariate statistics or composite analysis. Especially the former
assumes the same type of linear statistical dependency to apply across
different phases of the El Ni\~no--Southern Oscillation (ENSO), which appears
not necessarily a justified assumption. Here, we statistically evaluate the
likelihood of co-occurrences between very high or very low seasonal
precipitation sums over vast parts of the global land surface and the presence
of the respective EP and CP types of both, El Ni\~no and La Ni\~na. By
employing event coincidence analysis, we uncover differential imprints of both
flavors on very low and very high seasonal precipitation patterns over distinct
regions across the globe, which may severely affect, among others, agricultural
and biomass production or public health. We particularly find that EP periods
exhibit statistically significant event coincidence rates with
hydrometeorological anomalies at larger spatial scales, whereas sparser
patterns emerge along with CP periods. Our statistical analysis confirms
previously reported interrelations for EP periods and uncovers additional
distinct regional patterns of very high/low seasonal precipitation, such as
increased rainfall over Central Asia alongside CP periods that have to our
knowledge not been reported so far. Our results demonstrate that a thorough
distinction of El Ni\~no and La Ni\~na into their two respective flavors could
be crucial for understanding the emergence of strong regional
hydrometeorological anomalies and anticipating their associated ecological and
socioeconomic impacts.
