Enhancing streamflow prediction in ungauged basins using a nonlinear knowledge‐based framework and deep learning
In hydrology, a fundamental task involves enhancing the predictive power of a model in
ungagged basins by transferring information on physical attributes and hydroclimate …
ungagged basins by transferring information on physical attributes and hydroclimate …
Merging precipitation scheme design for improving the accuracy of regional precipitation products by machine learning and geographical deviation correction
C Yu, H Shao, D Hu, G Liu, X Dai - Journal of Hydrology, 2023 - Elsevier
Global satellite precipitation products (SPPs) effectively obtain spatial precipitation
information but frequently fail to meet application requirements in small-scale areas due to …
information but frequently fail to meet application requirements in small-scale areas due to …
Projections of rain‐on‐snow events in a sub‐arctic river basin under 1.5° C–4° C global warming
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 …
lead to severe socioeconomic impacts and affect ecosystem function. In high‐latitude …
Ensemble learning for blending gridded satellite and gauge-measured precipitation data
Regression algorithms are regularly used for improving the accuracy of satellite precipitation
products. In this context, satellite precipitation and topography data are the predictor …
products. In this context, satellite precipitation and topography data are the predictor …
Probabilistic assessment of concurrent tornado and storm‐related flash flood events
The concurrent occurrence of extreme events can significantly impact societies and
infrastructure systems, especially when the instructions provided to the exposed …
infrastructure systems, especially when the instructions provided to the exposed …
Applicability Assessment of GPM IMERG Satellite Heavy-Rainfall-Informed Reservoir Short-Term Inflow Forecast and Optimal Operation: A Case Study of Wan'an …
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 …
attractive as it can provide near-real-time information for reservoir monitoring. However, the …
Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily Scales in the Western Mediterranean
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 …
precipitation estimates, which are essential for a wide range of applications. In this study, we …
Multi‐Model Projection of Climate Extremes under 1.5° C–4° C Global Warming Levels across Iran
This study investigates the spatial and temporal patterns of climate extremes in Iran and
projects future changes using data from seven General Circulation Models (GCMs) that …
projects future changes using data from seven General Circulation Models (GCMs) that …
[HTML][HTML] Rising risks of hydroclimatic swings: A large ensemble study of dry and wet spell transitions in North America
Hydroclimatic swings between dry and wet spells are increasing globally, raising concerns
due to their severe impacts on society, agriculture, infrastructure systems, and water …
due to their severe impacts on society, agriculture, infrastructure systems, and water …
The impact of the Madden-Julian oscillation on spring and autumn afternoon diurnal convection in Sri Lanka
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 …
on diurnal rainfall patterns focusing on Afternoon Diurnal Convection (ADC) events in Sri …