New precipitation (P) datasets are released regularly, following innovations in weather
forecasting models, satellite retrieval methods, and multi-source merging techniques. Using …

Long-term gridded precipitation products are crucial for several applications in hydrology,
agriculture and climate sciences. Currently available precipitation products suffer from space …

Abstract Knowledge of irrigation is essential for ensuring food and water security, and to
cope with the scarcity of water resources, which is expected to exacerbate under the …

Accurate and long-term rainfall estimates are the main inputs for several applications, from
crop modeling to climate analysis. In this study, we present a new rainfall data set (SM2RAIN …

Addressing a pressing need for streamlined access to observed meteorological data in
India, we present IMDLIB, an open-source Python library that operates on gridded datasets …

Satellite precipitation products have been largely improved in the recent years particularly
with the launch of the global precipitation measurement (GPM) core satellite. Moreover, the …

The satellite precipitation products (SPPs) obtained from the satellite soil moisture data
through a bottom-up approach (ie, the SM2RAIN algorithm) have been developed and …

Rain gauges are unevenly spaced around the world with extremely low gauge density over
developing countries. For instance, in some regions in Africa the gauge density is often less …

The assessment of precipitation over land is extremely important for a number of scientific
purposes related to the mitigation of natural hazards, climate modelling and prediction …

A reliable and accurate long-term rainfall dataset is an indispensable resource for
climatological studies and crucial for application in water resource management, agriculture …