Increasing the accuracy of rainfall forecasts is crucial as an effort to prevent
hydrometeorological disasters. Weather changes that can occur suddenly and in a local …

Precipitable water vapor (PWV), derived from the Global Navigation Satellite System
(GNSS), has contributed significantly to rainfall forecasting. However, another key …

The paper examines the machine learning classification of rainfall forecasts using Austin
weather data. Rain is a natural phenomenon that is essential for the Earth's water cycle …

Amount of Rainfall prediction is a major issue for the weather department as it is associated
with the human's life and the economy. Excess rainfall is the major cause of natural disasters …

Precipitable water vapor (PWV) and zenith total delay (ZTD) are highly correlated indicators
used for forecasting rainfall effectively. These two factors are widely used when establishing …

Rainfall prediction is one of the crucial stages of the watershed management process. In this
research, A comparison of the performance among Monte Carlo and Thomas Fiering, linear …

Short-term rainfall forecast using GNSS-derived tropospheric parameters has gradually
become a research hotspot in GNSS meteorology. Nevertheless, the occurrence of rainfall …

As one of the largest cities in Indonesia, Bandung has varying monthly rainfall intensity. High
rainfall is very dangerous for people's lives and will have an impact on various sectors such …

Rainfall prediction is a major issue in climatological studies because it is connected with
human life and the economy. Unpredicted and extreme rainfall events is a major concern in …

There is a seasonal element every year, with the dry season often lasting from May to
October and the rainy season lasting from November to April. However, climate change …