Regression algorithms are regularly used for improving the accuracy of satellite precipitation products. In this context, satellite precipitation and topography data are the predictor …
YD Ngui, MR Najafi, C de Souza… - International Journal of …, 2023 - Wiley Online Library
The concurrent occurrence of extreme events can significantly impact societies and infrastructure systems, especially when the instructions provided to the exposed …
Q Ma, X Gui, B Xiong, R Li, L Yan - Remote Sensing, 2023 - mdpi.com
Satellite precipitation estimate (SPE) dedicated to reservoir inflow forecasting is very attractive as it can provide near-real-time information for reservoir monitoring. However, the …
In the last decade, substantial improvements have been achieved in quantitative satellite precipitation estimates, which are essential for a wide range of applications. In this study, we …
W Na, MR Najafi - Global and Planetary Change, 2024 - Elsevier
Hydroclimatic swings between dry and wet spells are increasing globally, raising concerns due to their severe impacts on society, agriculture, infrastructure systems, and water …
This study examines the impact of strong Madden-Julian Oscillation (MJO) phases (P1–P8) on diurnal rainfall patterns focusing on Afternoon Diurnal Convection (ADC) events in Sri …
Abstract Rain‐on‐snow (ROS) is a compound hydrometeorological extreme event that can lead to severe socioeconomic impacts and affect ecosystem function. In high‐latitude …
AL Alcantara, KH Ahn - International Journal of Applied Earth Observation …, 2024 - Elsevier
For the past few years, there have been improvements in collocation approaches that do not rely on in-situ observations to estimate data uncertainties. These approaches have been …
J Li, B Yong, Z Shen, H Wu, Y Yang - Remote Sensing, 2023 - mdpi.com
Highly accurate near-real-time satellite precipitation estimates (SPEs) are important for hydrological forecasting and disaster warning. The near-real quantitative precipitation …