We estimate future changes in precipitation over the entire Indus basin of Pakistan with a particular focus on the high‐elevation upper indus basin (UIB). A statistical downscaling approach is used. We consider the spatial variability of observed precipitation on seasonal scales. Large‐scale atmospheric patterns are employed for general circulation model (GCM) selection and subsequent projections. Firstly, we identify the prec...

The high‐altitude Indus basin is one of the most complex and inadequately explored mountain terrains in the World, where reliable observations of precipitation are highly lacking. Therefore, spatially distributed precipitation products developed at global/regional scale are often used in several scientific disciplines. However, large uncertainties in precipitation estimates of such precipitation data sets often lead to subopti...

Complex processes govern spatiotemporal distribution of precipitation within the high-mountainous headwater regions (commonly known as the upper Indus basin (UIB)), of the Indus River basin of Pakistan. Reliable precipitation simulations particularly over the UIB present a major scientific challenge due to regional complexity and inadequate observational coverage. Here, we present a statistical downscaling approach to model ob...

Underperformance of the irrigation systems and poor cost recovery from irrigated area in Pakistan have been a source of concern for the last few decades and since then it has been the subject of considerable external assistance and internal policy reforms. To address these problems in the management of irrigation systems, the World Bank proposed a number of institutional changes for irrigation management turnover (IMT). After...