Extreme climate is one of the important variables which determine the capability of tropical
peatland to act as either carbon sink and/or carbon source. The purpose of this study is to …

Missing rainfall data has been a prevalent issue and primarily interested in hydrology and
meteorology. This research aimed to examine the capability of machine learning (ML) and …

Climate change causes unprecedented damage in form of climate extreme events such as
floods and drought, especially in the agricultural sector. Understanding the variations and …

Rainfall is the main factor inducing landslides. Clarifying rainfall-induced landslides'
mechanisms and establishing adequate warning and prevention measures are crucial for …

To investigate the impact of temporal and spatial resolution of rainfall data on watershed
flood simulation performance, the rainfall data from meteorological stations and the gridded …

Climate change is intensifying the occurrence of extreme rainfall events, drawing attention to
the importance of understanding the return period concept within the realm of extreme …

With the development of mathematical statistics, people have developed the spatiotemporal
interpolation methods based on the spatial interpolation method or the temporal …

This study introduces a systematic methodology whereby different technologies were
utilized to download, pre-process, and interactively compare the rainfall datasets from the …

Under the background of climate change and urbanization, the localized characteristics of
rainfall are becoming increasingly pronounced. The spatial resolution of rainfall data often …

Global interpolated climate products are widely used in ecological research to investigate
biosphere-climate interactions and to track ecological response to climate variability and …