As the largest river basin on Earth, the Amazon is of major importance to the world's climate
and water resources. Over the past decades, advances in satellite‐based remote sensing …

Abstract The Prediction in Ungauged Basins (PUB) initiative of the International Association
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …

We undertook a comprehensive evaluation of 22 gridded (quasi-) global (sub-) daily
precipitation (P) datasets for the period 2000–2016. Thirteen non-gauge-corrected P …

Current global precipitation (P) datasets do not take full advantage of the complementary
nature of satellite and reanalysis data. Here, we present Multi-Source Weighted-Ensemble …

Soil erosion is a direct product of the complex interactions between natural and
anthropogenic factors. Such factors vary over space and time, making the assessment of soil …

This work is meant to summarize lessons learned on using satellite precipitation products for
riverine flood modeling and to propose future directions in this field of research. Firstly, the …

The first issue of WRR appeared eight years after the launch of Sputnik, but by WRR's 25th
anniversary, only seven papers that used remote sensing had appeared. Over the journal's …

In this paper, a hydrologic/hydrodynamic modeling of the Amazon River basin is presented
using the MGB‐IPH model with a validation using remotely sensed observations. Moreover …

This study aims reporting on 23 gridded precipitation datasets (P-datasets) reliability across
West Africa through direct comparisons with rain gauges measurement at the daily and …

The goal of this study is to quantitatively intercompare the standard products of the Tropical
Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) and its …