Long-term gridded precipitation products (GPPs) are crucial for climatology and hydrological
research to overcome the limitations of gauge observations. Climate Hazards Group …

Precipitation, as a primary hydrological variable in the water cycle plays an important role in
hydrological modeling. The reliability of hydrological modeling is highly related to the quality …

Recent advancements in the field of remote sensing have led to the development of high
resolution satellite‐based rainfall products to improve the quality of observed rainfall data …

Tonle Sap Lake is the largest freshwater lake in Southeast Asia. Water development
infrastructures are increasingly being constructed in the Lancang–Mekong River Basin …

This study aims to present a novel decomposition–ensemble model that uses multivariate
data. Two algorithms, Light Gradient Boosting Machine (LightGBM) and Extreme Gradient …

Cambodia is the 9 th country in the world to be vulnerable to natural disasters in 2011,
especially due to the storm and flood. Also, it is worrisome that there is a rapid deforestation …

In the present work, two new generalized weighted methods of imputation of missing data
are developed and tested using a daily rainfall series. The proposed methodology allows to …

The quality and completeness of rainfall data is a critical aspect in time series analysis and
for the prediction of future water-related disasters. An accurate estimation of missing data is …

The water environment is one of the basic elements that constitute the environment. It is an
important place for the survival and development of human society, and it is also the most …