Babak Mohammadi

Lund University

Sweden

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Articles (21)

A study of the relationship between GRACE-TWSA and large-scale atmospheric-oceanic patterns

Year:

2025

Three-stage hybrid modeling for real-time streamflow prediction in data-scarce regions

Year:

2025

Enhancing daily runoff prediction: A hybrid model combining GR6J-CemaNeige with wavelet-based gradient boosting technique

Year:

2025

Enhancing streamflow drought prediction: integrating wavelet decomposition with deep learning and quantile regression neural network models

Year:

2025

Integrating machine learning with process-based glacio-hydrological model for improving the performance of runoff simulation in cold regions

Year:

2025

A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration

Year:

2025

An explainable hybrid framework for estimating daily reference evapotranspiration: Combining extreme gradient boosting with Nelder-Mead method

Year:

2024

Estimation of surface soil moisture from Sentinel-1 synthetic aperture radar imagery using machine learning method

Year:

2024

Bee-inspired insights: Unleashing the potential of artificial bee colony optimized hybrid neural networks for enhanced groundwater level time series prediction

Year:

2024

A conceptual metaheuristic-based framework for improving runoff time series simulation in glacierized catchments

Year:

2024

Evaluation of the RF-MEP Method for Merging Multiple Gridded Precipitation Products in the Chongqing City, China

Year:

2023

Simulating glacier mass balance and its contribution to runoff in Northern Sweden

Year:

2023

VMD-GP: A New Evolutionary Explicit Model for Meteorological Drought Prediction at Ungauged Catchments

Year:

2023

Evaluating the impact of the environment on depleting groundwater resources: a case study from a semi-arid and arid climatic region

Year:

2022

Enhancing Rainfall-Runoff Simulation via Meteorological Variables and a Deep-Conceptual Learning-Based Framework

Year:

2022

Application of ERA-Interim, empirical models, and an artificial intelligence-based model for estimating daily solar radiation

Year:

2022

Application of ERA-Interim, empirical models, and an artificial intelligence-based model for estimating daily solar radiation

Year:

2022

Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model approach

Year:

2022

Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model approach

Year:

2022

Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models

Year:

2022

Application of ERA-Interim, empirical models, and an artificial intelligence-based model for estimating daily solar radiation

Year:

2021

Collaborators (6)

Ye Tuo

-

GERMANY

Petter Pilesjö

Professor

Lund University

SWEDEN

Abubaker Omer

Aalto University

FINLAND

Zheng Duan

Associate Professor

Lund University

SWEDEN

Muhammad Shahid

Lecturer

Brunel University London

UNITED KINGDOM

Hamid Nasiri

University of Lancaster

UNITED KINGDOM

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