The current IDF curve are based on the concept of temporal stationarity,
which assume that, the occurrence probability of extreme
rainfall intensity events is not expected to change over time. However,
as climate has shown significant changes in rainfall characteristics
in many regions, depending only on the current IDF
curve concept or stationary climate change assumption may lead
to underestimation of the extreme rainfall intensity events. Therefore,
given the observed increase in heavy rainfall intensity events,
the author argues that the IDF curve should be updated to account
for future climate change. For this purpose, two climate change
scenarios are used in the analysis: (1) historic climate change data
for 34-years (1980–2013) obtained from the National Climatic
Data Center (NCDC) was used to set up the relationship between
the intensity, duration, total amount and frequency or recurrence
interval; and (2) monthly mean precipitation Wet weather scenario
data projected by the four run global circulation model (GCMs)
under the three emissions scenarios were downloaded from the
intergovernmental panel on climate change (IPCC) data distribution
center (http://www.ipcc-data.org) for a period of 2020 and
2055. Furthermore, control simulations were investigated for the
estimation of the suitability of different GCMs to describe climatic
conditions, by comparing the modelled and observed monthly
mean precipitation data during 1980–2013.