The study was carried out to assess meteorological drought on the basis of the
standardized precipitation index (SPI) and standardized precipitation evapotranspiration
index (SPEI) evaluated in future climate scenarios. Yazd province,
located in an arid region in the centre of Iran, was chosen for analysis.
The study area has just one synoptic station with a long-term record (56 years).
The impact of climate change on future drought was examined by using the
CanESM2 of the CMIP5 model under three scenarios, that is, representative
concentration pathways RCP2.6, RCP4.5 and RCP8.5. Given that a drought is
defined by several dependent variables, the evaluation of this phenomenon
should be based on a multivariate analysis. For this purpose, two main characteristics
of drought (severity and duration) were extracted by run theory in a
past (1961–2016) and future (2017–2100) period based on the SPI and SPEI,
and studied using copula theory. Three functions, that is, Frank, Gaussian and
Gumbel copula, were selected to fit with drought severity and duration. The
results of the bivariate analysis using copula showed that, according to both
indicators, the study area will experience droughts with greater severity and
duration in future as compared with the historical period, and the drought represented
by the SPEI is more severe than that associated with the SPI. Also,
drought simulated using the RCP8.5 scenario was more severe than when
using the other two scenarios. Finally, droughts with a longer return period
will become more frequent in future.