Increased availability of precipitation observational datasets allows for accurate drought
detection, monitoring and forecast. Most studies have shown accuracy of various …

In this study, a comprehensive evaluation of the reliability of seventeen satellite-, reanalysis-,
and gauge-based precipitation products (ie, IMERG-F, GSMaP-G, TMPA 3B42, CMORPH …

Water management in the Caatinga/Atlantic forest ecotone in Brazil is critically dependent
on better understanding of potential future changes in streamflow and sediment dynamics …

Drought monitoring and understanding of spatiotemporal patterns of drought characteristics
are beneficial for sustainable agricultural water management at a regional scale. Changes …

Water plans and operations (eg, flood control, drought mitigation measures, water allocation,
and engineering design) depend on reliable streamflow information. Thus, this study …

Extreme weather events have frequently caused serious damage to the quality of life of the
population and the economy of the Brazilian semiarid region, where droughts are the main …

Long-term satellite-based precipitation estimates (LSPE) play a significant role in
climatological studies like drought monitoring. In this study, three popular LSPEs …

Climate change and global warming are often considered the main reason for water scarcity
in Iran. However, there is little evidence showing that the arid/wet regions get drier/wetter …

This study explores the spatio-temporal distribution and trends on monthly, seasonal, and
annual scales of rainfall in the central Punjab districts of Punjab province in Pakistan by …

In this research, the spatiotemporal meteorological drought pattern was assessed in the
Oued Sebaou basin (northern central Algeria) based on data from 23 rain gauges from 1972 …