There are 23 GCM Models with 8 scenarios developed by 9 countries. They are as follow:

Models

BCC:CM1

BCCR:BCM2

CCCMA:CGCM3_1-T47

CCCMA:CGCM3_1-T63

CNRM:CM3

CONS:ECHO-G

CSIRO:MK3

GFDL:CM2

GFDL:CM2_1

INM:CM3

IPSL:CM4

LASG:FGOALS-G1_0

MPIM:ECHAM5

MRI:CGCM2_3_2

NASA:GISS-AOM

NASA:GISS-EH

NASA:GISS-ER

NCAR:CCSM3

NCAR:PCM

NIES:MIROC3_2-HI

NIES:MIROC3_2-MED

UKMO:HADCM3

UKMO:HADGEM1

Scenarios

1PTO2X

1PTO4X

20C3M

COMMIT

PICTL

SRA1B

SRA2

SRB1

Variables

Øspecific humidity

Øprecipitation flux

Øair pressure at sea level

Ønet upward shortwave flux in air

Øair temperature

Øair temperature daily max

Øair temperature daily min

Øeastward wind

Ønorthward wind

All major developed countries figure that they’d better develop their own technology so they don’t have to trust other nations in negotiations about blame and trade-offs.

So, it depends on what you are looking for and whom you trust more to select the most suitable one.

While there are a large number of possible choices for models (and a large number of emission scenarios, meaning even more possibilities!) you can always choose a set of models that projects extreme conditions (maximum and minimum projections) to provide some sort of "envelope" of likely conditions. 

You will likely need to consider downscaling the model via change factors or dynamic downscaling techniques if you are doing such a localized study.

There's no only one appropriate GCM/RCM for your study case. You should consider as many GCM/RCM as you can and use them as an ensemble or use their mean projection as the best guess. Alternatively you can also check the performances of these GCMs/RCMs by comparing their prediction to your say rainfall and temperature measurements. Then, you can either select "good" GCMs/RCMs and you give them equal weights or give higher weight to the "best" GCM/RCMs while you calculate their longer-term mean projection

I found this question the same as one of the FAQs of IPCC website (Which GCM output should I use?) in the attached link, which suggest you check the following four (I think the 3rd one is the one for you):

Vintage. In general, recent model simulations are likely (though by no means certain) to be more reliable than those of an earlier vintage. They are based on recent knowledge, incorporate more processes and feedbacks and are usually of a higher spatial resolution than earlier models.

Resolution. As climate models have evolved and computing power has increased, there has been a tendency towards increased resolution. Some of the early GCMs operated on a horizontal resolution of some 1000 km with between 2 and 10 levels in the vertical. More recent models are run at nearer 250 km spatial resolution with perhaps 20 vertical levels. However, although higher resolution models contain more spatial detail this does not necessarily guarantee a superior model performance.

Validity. A more persuasive criterion for model selection is to adopt the GCMs that simulate the present-day climate most faithfully, on the premise that these GCMs would also yield the most reliable representation of future climate. The approach involves comparing GCM simulations that represent present-day conditions with the observed climate. The modelled and observed data are projected to the same grid, and statistical methods employed to compare, for example, mean values, variability and climatic patterns. Some model-observed comparisons are possible using the Data Visualisation Pages of the DDC.

Representativeness. If results from more than one GCM are to be applied in an impact assessment (and given the known uncertainties of GCMs, this is strongly recommended), another criterion for selection is to examine the representativeness of the results. Where several GCMs are to be selected, it might be prudent to choose models that show a range of changes in a key variable in the study region (for example, models showing little change in precipitation, models showing an increase and models showing a decrease). The selections may not necessarily be the best validated models (see above), although some combination of models satisfying both criteria could be agreed upon.

http://www.ipcc-data.org/ddc_faqs.html

Thank you all for your valuable response

Anil Aryal what did you did after this

I am waiting to listen.