Abstract Missing data is a frequent problem in meteorological and hydrological temporal observation sets. Finding effective solutions to this essential because complete time series are required conduct reliable analyses. This study used daily rainfall from 60 rain gauges spatially distributed within Portugal's Guadiana River basin over 30-year reference period (1976–2005). Gap-filling approache...

Spatial information of climatological frequency distribution daily precipitation is highly valuable for a wide range applications. Accurate estimation climatology can be made gauged locations where quality and lengthy observations are available. For ungauged or poorly locations, however, indirect needed. One approach to use gridded dataset derived from interpolating observations. However, data ...

Enabling smartphones to understand our emotional well-being provides the potential create personalised applications and highly responsive interfaces. However, this is by no means a trivial task - subjectivity in reporting emotions impacts reliability of ground-truth information whereas smartphones, unlike specialised wearables, have limited sensing capabilities. In paper, we propose new approac...