Rainfall is one of the most significant parameters in a hydrological model. Several models
have been developed to analyze and predict the rainfall forecast. In recent years, wavelet …

Providing an accurate spatiotemporal distribution of rainfall and filling data gaps are pivotal
for effective water resource management. This study focuses on the Asir region in the …

Accurate estimation of rainfall has an important role in the optimal water resources
management, as well as hydrological and climatological studies. In the present study, two …

Rainfall is a significant portion of hydrologic data. Rainfall records, however, are often
incomplete due to several factors. In this study, the inverse distance weighting (IDW) method …

Precipitation prediction is central in hydrology and water resources planning and
management. This paper introduces a semi-empirical predictive model to predict monthly …

The most leading applications of Artificial Intelligence that seems to witness an immense
Progression in the digital era are the Machine Learning (ML) Techniques. It learns itself from …

Sindh province of Pakistan has a long history of severe droughts. Several large scale
climate drivers (LSCD) are known for their effect on precipitation worldwide but studies in the …

This study investigated the effect of different sub-division schemes and two rainfall data
types–gauge and radar–on the accuracy of runoff forecasting using a semi-distributed …

Rainfall is an important meteorological parameter that has the greatest impact on human
activities, and it is increasingly used in diverse contexts. This study looks into the capabilities …

This study investigated the effect of different sub-division schemes and two rainfall data
types–gauge and radar–on the accuracy of runoff forecasting using a semi-distributed …