Assessment of different methods for estimation of missing rainfall data

T Hırca, G Eryılmaz Türkkan - Water Resources Management, 2024 - Springer
Missing data is a common problem encountered in various fields, including clinical research,
environmental sciences and hydrology. In order to obtain reliable results from the analysis …

Spatio-temporal rainfall variability and trends using a Kriging-interpolation and Innovative trend analysis approach: the case of Wolaita zone, south Ethiopia

E Bojago - Discover Sustainability, 2024 - Springer
Climate change is one of the worst environmental issues, with a negative impact on most
develo** countries across the globe and in some regions, including Ethiopia. This study …

[PDF][PDF] Experimental Comparative Study on Self-Imputation Methods and Their Quality Assessment for Monthly River Flow Data with Gaps: Case Study to Mures River

Z Magyari-Sáska, I Haidu, A Magyari-Sáska - Applied Sciences, 2025 - researchgate.net
Incomplete environmental datasets pose significant challenges in develo** accurate
predictive models, particularly in hydrological research. This study addresses data …

Assessment Of IDW And ANN On Daily Rainfall Data Imputation in Semarang Central Java

ET Suharmanto, A Supriyanto - Sinkron: jurnal dan penelitian …, 2025 - jurnal.polgan.ac.id
Rainfall plays a critical role in the global water and energy cycle, influencing surface water
availability and recharge processes both spatially and temporally. Traditional rainfall data …

Estimating Missing Precipitation Records Using Tree-Based Approaches

T Nguyen - 2024 - search.proquest.com
Missing rainfall records happens frequently in many areas, and making precipitation
estimation has been a challenge due to the spatial-temporal variability of the parameter …