Global water use for food production needs to be reduced remain within planetary boundaries, yet the financial feasibility of crucial measures reduce is poorly quantified. Here, we introduce a novel method compare costs conservation with added value that reallocation savings might generate if used expansion irrigation. Based on detailed accounting through high-resolution hydrology-crop model, m...

Today, in the field of science and technology, huge forecasting applications are used by scholars to forecast future values. Nowadays, using estimating flood for peak flow discharges is very common risk assessment annually quantitative data collections from different resources. The famous longest rivers Pakistan i.e. Indus River other too like Jhelum, Kabul, Chenab prime sources flooding. These...

This paper motivates and describes the data integration component of INDUS (Intelligent Data Understanding System) environment for data-driven information extraction and integration from heterogeneous, distributed, autonomous information sources. The design of INDUS is motivated by the requirements of applications such as scientific discovery, in which it is desirable for users to be able to ac...

In recent years, the Northern Hemisphere has suffered several devastating regional summer weather extremes, such as the European heat wave in 2003, the Russian heat wave and the Indus river flood in Pakistan in 2010, and the heat wave in the United States in 2011. Here, we propose a common mechanism for the generation of persistent longitudinal planetary-scale high-amplitude patterns of the atm...

We assessed maximum (Tmax) and minimum (Tmin) temperatures over Pakistan’s Indus basin during the 21st century using statistical downscaling. A particular focus was given to spatiotemporal heterogeneity, reference General Circulation Model (GCM) uncertainties, skills of regression models an observational profile that could significantly be improved by recent high-altitude observatories. First, ...