Author

Mohammadvaghef Ghazvinian

Observed name: Ghazvinian, Mohammadvaghef

Institutions: Virginia University of Lynchburg, University of California San Diego, Loudoun County Public Library

Observed institutions: Scripps Institution of Oceanography, The University of Texas at Arlington, Virginia University of Lynchburg, University of California San Diego, University of Tabriz, Loudoun County Public Library

ORCID: 0000-0002-5957-3554

Observed ORCID: 0000-0002-5957-3554

OpenAlex ID: A5077068160

A novel hybrid artificial neural network - Parametric scheme for postprocessing medium-range precipitation forecasts

2021 · Mohammadvaghef Ghazvinian, Yu Zhang, et al. · Advances in Water Resources · 66

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Deep Learning Forecast Uncertainty for Precipitation over the Western United States

2023 · Weiming Hu, Mohammadvaghef Ghazvinian, et al. · Monthly Weather Review · 44

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Multi-model streamflow prediction using conditional bias-penalized multiple linear regression

2021 · Ali Jozaghi, Haojing Shen, et al. · Stochastic Environmental Research and Risk Assessment · 30

Prediction of short and long-term droughts using artificial neural networks and hydro-meteorological variables

2020 · Hassanzadeh, Yousef, Ghazvinian, Mohammadvaghef, et al. · arXiv (Cornell University) · 24

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Improving Probabilistic Quantitative Precipitation Forecasts Using Short Training Data through Artificial Neural Networks

2022 · Mohammadvaghef Ghazvinian, Yu Zhang, et al. · Journal of Hydrometeorology · 17

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A Nonhomogeneous Regression-Based Statistical Postprocessing Scheme for Generating Probabilistic Quantitative Precipitation Forecast

2020 · Mohammadvaghef Ghazvinian, Yu Zhang, et al. · Journal of Hydrometeorology · 16

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Deep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events

2024 · Mohammadvaghef Ghazvinian, Luca Delle Monache, et al. · Monthly Weather Review · 12

CW3E’s West-WRF 200-Member Ensemble

2025 · Luca Delle Monache, Daniel F. Steinhoff, et al. · Monthly Weather Review · 8

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Ensemble Design for Forecasting Extreme Orographic Precipitation: Finer Horizontal Grid Spacing with Fewer Members?

2026 · Nora R. Mascioli, Mohammadvaghef Ghazvinian, et al. · Weather and Forecasting · 2

Assessment of Relative Accuracy of TxRR and NWM in Simulating Streamflow for a Cluster of Watersheds along the south Texas Coast

2022 · Md Arifur Rahman, Yu Zhang, et al. · Preprints.org · 2

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Improving Weeks 1–2 Temperature Forecasts in the Sierra Nevada Region Using Analog Ensemble Postprocessing with Implications for Better Prediction of Snowmelt, Water Storage, and Streamflow

2025 · Zhiqi Yang, Weiming Hu, et al. · Journal of Hydrometeorology · 1

Improving Medium-range Probabilistic Quantitative Precipitation Forecast for Heavy-to-extreme Events through the Conditional Bias-penalized Regression

2019 · Mohammadvaghef Ghazvinian, Dong‐Jun Seo, et al. · AGU Fall Meeting Abstracts · 1

Relative Robustness of Machine Learning (ML) Postprocessing Schemes in Forecasting Wintertime Precipitation Types: A CONUS-Wide Comparison

2026 · Prabal Das, Yu Zhang, et al. · Weather and Forecasting

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Enhancing Weeks 1-2 Forecasts of 2-m Temperature in the Sierra Nevada, California through Analog Ensemble post-processing

2025 · Zhiqi Yang, Weiming Hu, et al.

An enhanced meteorological ensemble postprocessing scheme for improving the prediction of extreme rainfall events

2022 · Yu Zhang, Mohammadvaghef Ghazvinian, et al.

Works count: 15

Citation count: 223

H-index: 8

I10-index: 7