Reconciling global terrestrial evapotranspiration estimates from multi‐product intercomparison and evaluation
Y Cai, Q Xu, F Bai, X Cao, Z Wei, X Lu… - Water Resources …, 2024 - Wiley Online Library
Terrestrial evapotranspiration (ET) is a vital process regulating the terrestrial water balance.
However, significant uncertainties persist in global ET estimates. Focusing on the area …
However, significant uncertainties persist in global ET estimates. Focusing on the area …
Enhancing urban runoff modelling using water stable isotopes and ages in complex catchments
Increased urbanization, coupled with the projected impacts of climatic change, mandates
further evaluation of the impact of urban development on water flow paths to guide …
further evaluation of the impact of urban development on water flow paths to guide …
Reservoir inflow prediction: a comparison between semi distributed numerical and artificial neural network modelling
Reservoir inflow is a major component of the reservoir operations management system. It
becomes highly essential to predict the accurate reservoir inflow. The lumped models and …
becomes highly essential to predict the accurate reservoir inflow. The lumped models and …
Crop water use dynamics over arid and semi-arid croplands in the lower Colorado River Basin
Numerous studies have evaluated the application of Remote Sensing (RS) techniques for
mapping actual evapotranspiration (ETa) using Vegetation-Index-based (VI-based) and …
mapping actual evapotranspiration (ETa) using Vegetation-Index-based (VI-based) and …
Understanding the role of surface runoff in potential flood inundation in the Kashmir valley, Western Himalayas
In the present study, direct runoff and Total runoff were estimated at temporal scales (2000–
2018) focusing on flood potential in the catchments of Kashmir valley. The valley is …
2018) focusing on flood potential in the catchments of Kashmir valley. The valley is …
Developing an ensemble machine learning approach for enhancing flood damage assessment
Climate change has caused fundamental changes in the pattern of rainfall worldwide.
Climate change can alter precipitation patterns, consequently intensifying the frequency and …
Climate change can alter precipitation patterns, consequently intensifying the frequency and …
Integrating GIS-based FAHP and WaTEM/SEDEM for identifying potential RWH areas in semi-arid areas
M Manaouch, M Sadiki, I Fenjiro - Geocarto International, 2022 - Taylor & Francis
Rainwater harvesting (RWH) is an alternative technique to potentially overcome the
increasing need for water. However, identifying suitable sites for RWH remains a complex …
increasing need for water. However, identifying suitable sites for RWH remains a complex …
Assessment of enhanced Kohonen self-organizing map, quantile mapping and copula-based bias-correction approaches for constructing basin-scale rainfall forecasts
This study evaluates the performance of an enhanced Kohonen self-organizing map
(eKSOM)-based bias-correction technique and compares the results with a copula-based …
(eKSOM)-based bias-correction technique and compares the results with a copula-based …
Hydropower and Climate Resilience of Nepal Himalaya: A bottom-up Hydrological Approach
U Bhattarai, T Maraseni, LP Devkota… - Earth Systems and …, 2024 - Springer
We modelled the hydrological response of a central Himalayan country Nepal in HEC-HMS
hydrological model, disaggregating the country into three large basins (Eastern, Central and …
hydrological model, disaggregating the country into three large basins (Eastern, Central and …
Performance Evaluation of Regression-Based Machine Learning Models for Modeling Reference Evapotranspiration with Temperature Data
MJ Diamantopoulou, DM Papamichail - Hydrology, 2024 - mdpi.com
In this study, due to their flexibility in forecasting, the capabilities of three regression-based
machine learning models were explored, specifically random forest regression (RFr) …
machine learning models were explored, specifically random forest regression (RFr) …