[HTML][HTML] From bias to accuracy: Transforming satellite precipitation data in arid regions with machine learning and topographical insights

F Baig, L Ali, MA Faiz, H Chen, M Sherif - Journal of Hydrology, 2025 - Elsevier
This paper presents a comprehensive approach to refine satellite precipitation estimates
over the mountainous regions of the United Arab Emirates (UAE) using Long Short-Term …

How accurate are the machine learning models in improving monthly rainfall prediction in hyper arid environment?

F Baig, L Ali, MA Faiz, H Chen, M Sherif - Journal of Hydrology, 2024 - Elsevier
Arid regions like the United Arab Emirates (UAE) face a dire challenge of scarce water
resources and unpredictable climate patterns. This study investigates the efficacy of …

[HTML][HTML] Stable isotope composition of long and short term carbon pools can screen drought tolerance in cassava

J Van Laere, MAM Maya, MG Selvaraj… - Field Crops …, 2024 - Elsevier
Leaf carbon isotope composition (δ 13 C) is a promising trait for assessing genotypic
differences in responses to environmental stress, particularly drought. Despite its potential …

[HTML][HTML] Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms

K Alghafli, X Shi, W Sloan, AM Ali - Groundwater for Sustainable …, 2025 - Elsevier
Accurate prediction of groundwater levels is crucial for managing groundwater resources
efficiently. The complex aquifer heterogeneity and groundwater abstraction variation present …

Evaluating the accuracy of APHRODITE and CHIRPS satellite-based Precipitation products for meteorological drought monitoring

AHA Suliman, JM Rajab, S Shahid - Theoretical and Applied Climatology, 2024 - Springer
The feasibility of calculating the Standardized Precipitation Index (SPI) at different
meteorological ground stations (GS) using monthly precipitation data from Satellite-based …

Evaluating the Performance and Applicability of Satellite Precipitation Products over the Rio Grande–San Juan Basin in Northeast Mexico

DA Vázquez-Rodríguez, VH Guerra-Cobián… - Atmosphere, 2024 - mdpi.com
Accurate observation of precipitation data is crucial for hydrometeorological applications,
requiring temporal and spatial precision. Satellite precipitation products offer a promising …

Analysis of Extreme Rainfall in the Mt. Merapi Area

A Yuliana, J Sujono - Journal of the Civil Engineering Forum, 2024 - journal.ugm.ac.id
Abstract The slopes of Mount Merapi (Mt. Merapi) are an area prone to hydrological
disasters due to elevation and orography. Hydrological disasters that have the potential to …

[PDF][PDF] Análisis de tendencias de precipitación en la cuenca Río Bravo–San Juan por medio de productos satelitales de precipitación y estaciones climatológicas

DA Vázquez Rodríguez - 2023 - eprints.uanl.mx
VIII primeros años de licenciatura, por la confianza que depositó en mí durante mi servicio
social en el Departamento de Ingeniería Ambiental, por las experiencias y conocimientos …

ENHANCEMENT OF RAINFALL PREDICTION AND SATELLITE PRECIPITATION ESTIMATES: A MACHINE LEARNING APPROACH FOR UNITED ARAB EMIRATES

F Baig - 2024 - scholarworks.uaeu.ac.ae
The accurate estimation of rainfall in arid regions presents a significant challenge due to
sparse ground observations and complex atmospheric dynamics. This dissertation …

Oil Issues of the Smallest Arabic Member of the OPEC

EM Khartukov - Journal La Lifesci, 2024 - newinera.com
The past, current status and future of the oil sector of the UAE are considered and analyzed.
The author uses methods of comparative and systematic analyses, which are implemented …