In disaster risk management (DRM), an emerging shift has been noted from broad‐scale, top‐
down assessments toward more participatory, community‐based, bottom‐up approaches …

Páramos, a neotropical alpine grassland‐peatland biome of the northern Andes and Central
America, play an essential role in regional and global cycles of water, carbon, and nutrients …

The accurate representation of spatio-temporal patterns of precipitation is an essential input
for numerous environmental applications. However, the estimation of precipitation patterns …

This study proposed a novel double machine learning (DML) approach to merge multiple
satellite-based precipitation products (SPPs) and gauge observations, and tested its …

ABSTRACT A new gridded rainfall dataset available for Peru is introduced, called PISCOp
V2. 1 (Peruvian Interpolated data of SENAMHI's Climatological and Hydrological …

Observed streamflow data from 966 medium sized catchments (1000–5000 km 2) around
the globe were used to comprehensively evaluate the daily runoff estimates (1979–2012) of …

Anagnostou, EN, Maggioni V., Nikolopoulos EI, Meskele T., Hossain F., and Papadopoulos
A., 2010: Benchmarking high-resolution global satellite rainfall products to radar and rain …

Merging gauge observation with a single original satellite-based precipitation product (SPP)
is a common approach to generate spatial precipitation estimates. For the generation of high …

Accelerated melting of glaciers is expected to have a negative effect on the water resources
of mountain regions and their adjacent lowlands, with tropical mountain regions being …

Although many multi-source precipitation products (MSPs) with high spatiotemporal
resolution have been extensively used in water cycle research, they are still subject to …