This research paper presents a systematic literature review on the use of remotely sensed
and/or global datasets in distributed hydrological modelling. The study aims to investigate …

Abstract Information about the spatiotemporal variability of soil moisture is critical for many
purposes, including monitoring of hydrologic extremes, irrigation scheduling, and prediction …

Soil moisture is widely recognized as a key parameter in the mass and energy balance
between the land surface and the atmosphere and, hence, the potential societal benefits of …

Accurate knowledge of the spatiotemporal behavior of soil moisture (SM) can greatly
improve hydrological forecasting capability. While ground-based SM measurements exhibit …

Many satellite soil moisture products are today globally available in near real-time. These
observations are of paramount importance for enhancing the understanding of the …

The skill of hydrologic models, such as those used in operational flood prediction, is
currently restricted by the availability of flow gauges and by the quality of the streamflow data …

In recent years, continuous improvements have been made in weather forecasting and flood
prediction with great benefit from Early Warning Systems (EWSs). Despite the continuous …

Study region Italy and in particular the provinces of Verona and Foggia. Study focus The
assessment of drought impacts at local scale requires adequately detailed spatio-temporal …

Abstract Information on water availability in basins can be crucial for making decisions for
effective water resource management in basins. As the operation of hydrometric stations in …

In this study, we perform a data assimilation (DA) experiment on a very large number (> 700)
of small‐and medium‐scale (150–10,000 km2) European catchments to assess the impact …