Amir Hossein Halabian and M.S. Keikhosravi
374 EXPLORING CLIMATE CHANGE OVER KHAZAR BASIN BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS
FIGURE 2. Location of the stations used in this study
have a cold climate. The general location of the Basin
has been depicted in Figure (1).
MATERIALS AND METHODS
In this paper, the daily precipitation, min temperature
and max temperature data of 21 synoptic stations across
the Basin were applied from 1992 to 2015. The applied
stations are operated by Islamic Republic of Iran Meteor-
ological Organization (IRIMO) and are presented in text
les by the IRIMO. In order to ensure a valid climate
change analyses it is important to examine the accuracy
of the applied data, so the climate variables of all the sta-
tions have been checked for any possible outliers in the
time series. Despite the fact that the resolution of Gen-
eral Circulation Models (GCMs) has been signi cantly
increased but they still cannot predict meteorological
outputs for small scales. Therefore, some models have
been created to downscale the GCMs output. LARS – WG
is a model which is used to downscale the GCMs output.
In this investigation the LARS – WG version 5.5 was
utilized. This version includes different GCMs data and
the BCM2 which is one the GCMs has also been included
in the model. LARS – WG utilize separate semi-empirical
distributions for each of variables including min, max
temperatures and precipitation and this downscaling
method has been used in several studies (Semenov etal.,
1998; Qian etal., 2004; Babaeian and Kwon, 2005; Law-
less and Semenov, 2005; Khan etal., 2006).
In the next step to prepare the data to run the model,
the data of each station were transferred into the format
of the LARS- WG weather generator. The observed daily
max temperature, min temperature and precipitation
series for 1992–2015 at 21 stations are used as inputs to
the LARS- WG weather generator and then the weather
series of the variables are generated for each site. Using
the BCM2 general circulation model with emission sce-
nario of SRA1B we simulated the climate variables of
max temperature, min temperature and precipitation for
the future period of 2046-2065 over the Basin. Then we
computed the Basin wide average of min, max and pre-
cipitation for the observed period and also for the future
period based on the obtained results from the model.
Using the Surfer 12 software package, all the three cli-
mate variables were then interpolated over the Basin
and mapped.
RESULTS AND DISCUSSION
The calculated observed min temperature for the Basin
indicates that the central parts of the Basin are the warm-
est areas compared to the other regions and in some
parts the annual temperature is nearly 13 ºC, the west
and east parts of the Basin are cold parts and in some
areas in the north-west the min temperature falls below
0 ºC (Figure 3). The simulated annual min temperature
indicates that compared to the based period there will
be increase in temperature (Figure 4) and in all areas of
the Basin min temperature will increase in various rates.
The highest rate of increase is seen over the north-west
parts of the Basin that are considered to be the cold
and mountainous regions (Figure 5). In these regions the
temperature increase is up to nearly 7 ºC but in central
areas the increased temperature is less evident and it is
generally less than 2 ºC.
For the observed period the max warmest tempera-
tures in the Basin are generally seen over central to the
east regions while the cooler max temperatures are over
north-west of the Basin. The max temperature is below
15 ºC in the coolest parts but in the warm areas, the
max temperature exceeds 21 ºC (Figure 6). In the future
period the max temperature will increase for entire of
the Basin (Figure 7) and the temperature in some areas
will exceed 24 ºC. The map of difference of max tem-
perature (future – base) indicates that north areas of the
Basin from north-west to north-east will experience the