Climate change is altering the seasonal accumulation and ablation of snow across mid-
latitude mountainous regions in the Northern Hemisphere with profound implications for the …

A validation covering a 30-year period (1987–2016) of the relatively new CHIRPS
precipitation dataset was performed over the Central Andes of Argentina (CAA), a semi-arid …

Accurate and consistent rainfall observations are vital for climatological studies in support of
better agricultural and water management decision-making and planning. In East Africa …

This study attempts to assess the validity of the Integrated Multisatellite Retrievals for Global
Precipitation Measurement (IMERG) products across Iran. Six IMERG precipitation products …

The high‐altitude Indus basin is one of the most complex and inadequately explored
mountain terrains in the World, where reliable observations of precipitation are highly …

Rainfall data is a vital input for many ecosystem service modeling in general and
hydrological modeling in particular. However, accurate rainfall data with sufficient …

NASA's Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG)
is a major source of precipitation data, having a larger coverage, higher precision, and a …

With the end of the Tropical Rainfall Measuring Mission (TRMM) era, its successor of Global
Precipitation Measurement (GPM) aims to provide a new generation of satellite precipitation …

The accurate estimation of precipitation has a basis for atmospheric and hydrological
applications. However, large uncertainties exist in the estimation of regional precipitation …

Abstract Artificial Intelligence and Machine Learning (AI/ML) techniques are powerful tools,
which can be applied to forecast spatial imagery in sequence. In this study, we applied a …