Meteorological extreme events have a major impact on
water resources, economic development, and ecosystem
health. In this study, maximum precipitation and
maximum temperature indices were derived for Isfahan
province, in central Iran, over the historical (1992–2017)
and future (2020–2100) periods. Precipitation and
maximum temperature data from the REMO model
under RCP4.5 scenario were used to investigate changes
in extreme values over the future period. The results
showed that extreme precipitation in the historical and
future periods has respectively a decreasing and
increasing trend. Based on the extreme indices, temperature
in the study area has a significant increasing
trend in the baseline and future period. Various
combinations of extreme precipitation indicators were
created for joint modeling by copula theory. Copula
modeling for the three weather stations for which
REMO had satisfactory performance in simulating
extremes over the historic period showed that the
average return period of extreme precipitation combinations
will be reduced in the future period compared to
the historical period at Daran and Shahreza, while the