Future irrigated agriculture will be strongly affected by climate change and agricultural management. However, the extent that management adaptation can counterbalance negative climate-change impacts achieve sustainable production remains poorly quantified. Such quantification is especially important for Indus basin, as essential its food security highly increasing temperatures changing water a...

Abstract Climate change has implications for water resources by increasing temperature, shifting precipitation patterns and altering the timing of snowfall glacier melt, leading to shifts in seasonality river flows. Here, Soil & Water Assessment Tool was run using downscaled temperature projections from five global climate models (GCMs) their multi-model mean estimate potential impact on ba...

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, ...

We present INDUS (Intelligent Data Understanding System), a federated, query-centric system for knowledge acquisition from autonomous, distributed, semantically heterogeneous data sources that can be viewed (conceptually) as tables. INDUS employs ontologies and inter-ontology mappings, to enable a user or an application to view a collection of such data sources (regardless of location, internal...