Dear Anwar,

I assume you would like to know the importance of snowmelt/ glacial melt, temperature and precipitation for generating streamflow. A first step might be to determine the correlation between each variable and streamflow and also the correlation between the mutual variables since I expect that for instance temperature and snowmelt will be related. I would expect that in this mountainous area rainfall and snowmelt/ glacier melt are the two main drivers for generating streamflow and that temperature is an important factor determining the importance of each factor in a particular period of the year.

Regards,

Martijn

Thank you for your response, Martijn.

I have mentioned the points you highlighted in my report with reference to literature. But now , I need present it in tabular and graphical form. I am also considering spatial interpolation of observed precipitation based on multivariate regression to define a relationship between Elev. & P. Would you enlighten me with your opinion or suggestion? And what you recommend for analysis of hydrological regime of study area?

For the spatial interpolation of precipitation indeed you probably would like to include elevation and variables like slope and aspect as well in a multivariate regression equation. The problem when interpolating precipitation in a mountainous area will be the lack of observations at high elevations since most stations will be located in valleys. Therefore, extrapolation of precipitation to higher elevations will be needed which inevitably will introduce additional uncertainties.

Depending on what you mean with hydrological regime, you might have a look at streamflow values and determine for instance the long-term average monthly streamflow. This 'hydrological regime' can then be compared with hydrological regimes in similar catchments (glacial catchments) and catchments with different regimes. However, if you have another definition of hydrological regime in mind, you probably need another type of analysis.