This study evaluates the ability of different gridded rainfall datasets to plausibly represent the
spatiotemporal patterns of multiple hydrological processes (ie streamflow, actual …

The Anthropocene period is characterised by a general demographic shift from rural
communities to urban centres that transform the predominantly wild global landscape into …

A high-resolution gridded dataset of daily mean temperature and precipitation series
spanning the period 1980ndash; 2018 was built for Trentino ndash; South Tyrol, a …

Boreal forests are warming faster than the rest of the planet. Do the benefits of higher
temperatures and longer growing seasons for forest productivity exceed the negative effects …

The frequency and extent of wildfires have increased in recent decades with immediate and
cascading effects on water availability in many regions of the world. Precipitation is used as …

High-frequency (HF) in situ sensor data capture temporal water quality variability. Using HF
data to calibrate catchment-scale water quality models remains uncommon, despite …

Abstract In West Africa, climatic data issues, especially availability and quality, remain a
significant constraint to the development and application of distributed hydrological …

Assessing the accuracy of gridded climate data sets is highly relevant to climate change
impact studies, since evaluation, bias correction, and statistical downscaling of climate …

It is a great challenge to obtain reliable gridded meteorological data in some data-scarce
and complex territories like the Himalaya region. Less dense observed raingauge data are …

Gridded observational products of the main climate parameters are essential in climate
science. Current interpolation approaches, implemented to derive such products, often lack …