| A novel hybrid artificial neural network-parametric scheme for postprocessing medium-range precipitation forecasts M Ghazvinian, Y Zhang, DJ Seo, M He, N Fernando Advances in Water Resources 151, 103907, 2021 | 38 | 2021 |
| Prediction of short and long-term droughts using artificial neural networks and hydro-meteorological variables Y Hassanzadeh, M Ghazvinian, A Abdi, S Baharvand, A Jozaghi arXiv preprint arXiv:2006.02581, 2020 | 21 | 2020 |
| Multi-model streamflow prediction using conditional bias-penalized multiple linear regression A Jozaghi, H Shen, M Ghazvinian, DJ Seo, Y Zhang, E Welles, S Reed Stochastic Environmental Research and Risk Assessment 35 (11), 2355-2373, 2021 | 19 | 2021 |
| A nonhomogeneous regression-based statistical postprocessing scheme for generating probabilistic quantitative precipitation forecast M Ghazvinian, Y Zhang, DJ Seo Journal of Hydrometeorology 21 (10), 2275-2291, 2020 | 9 | 2020 |
| Deep learning forecast uncertainty for precipitation over the Western United States W Hu, M Ghazvinian, WE Chapman, A Sengupta, FM Ralph, ... Monthly Weather Review 151 (6), 1367-1385, 2023 | 7 | 2023 |
| Improving probabilistic quantitative precipitation forecasts using short training data through artificial neural networks M Ghazvinian, Y Zhang, TM Hamill, DJ Seo, N Fernando Journal of Hydrometeorology 23 (9), 1365-1382, 2022 | 5 | 2022 |
| Improving water forecasting with Bayesian averaging of multiple forecasts A Jozaghi, M Ghazvinian, DJ Seo, Y Zhang, E Welles, S Reed, MA Fresch 100th American Meteorological Society Annual Meeting, 2020 | 5 | 2020 |
| Improving medium-range probabilistic quantitative precipitation forecast for heavy-to-extreme events through the conditional bias-penalized regression M Ghazvinian, DJ Seo, Y Zhang AGU Fall Meeting Abstracts 2019, H33P-2245, 2019 | 5 | 2019 |
| A hybrid machine learning framework for enhanced precipitation nowcasting L Delle Monache, D Axisa, A Cobb, M Ghazvinian, E Damiani, ... 103rd AMS Annual Meeting, 2023 | 1 | 2023 |
| Assessment of Relative Accuracy of TxRR and NWM in Simulating Streamflow for a Cluster of Watersheds along the south Texas Coast MA Rahman, Y Zhang, M Ghazvinian, N Fernando, C Schoenbaechler, ... Preprints, 2022 | 1 | 2022 |
| Improving probabilistic quantitative precipitation forecasting using machine learning and statistical postprocessing methods M Ghazvinian | 1 | 2021 |
| Deep Learning of a 200-member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events M Ghazvinian, L Delle Monache, V Afzali Gorooh, D Steinhoff, ... Monthly Weather Review, 2024 | | 2024 |
| A Novel Quantile Regression Neural Network Scheme for Postprocessing Medium-range Ensemble Quantitative Precipitation Forecasts M Ghazvinian, S Candido, L Delle Monache, VA Gorooh, A Sengupta, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Enhancing Regional Quantitative Precipitation Forecasts Using Machine Learning in Western US Watersheds W Hu, M Ghazvinian, A Sengupta, M Pan, L Delle Monache 104th AMS Annual Meeting, 2024 | | 2024 |
| High Spatiotemporal Resolution Quantitative Precipitation Estimation over the United Arab Emirates VA Gorooh, M Ghazvinian, W Hu, Q Cao, M Pan, BH Banimfreg, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| 38HYDRO Recent Developments of the 200-Member West-WRF Near Real-Time Forecast Ensemble DF Steinhoff, B Kawzenuk, M Simpson, N Mascioli, M Ghazvinian, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| An Analysis of Cloud Microphysics Features over UAE Using Multiple Data Sources Z Zhang, VA Gorooh, D Axisa, L Delle Monache, M Ghazvinian, ... AGU23, 2023 | | 2023 |
| Leveraging Artificial Neural Networks for Enhancing Hourly Quantitative Precipitation Estimate over the California-Nevada Region Q Cao, W Hu, M Ghazvinian, R Hartman, K Lerman, P Fickenscher, ... AGU23, 2023 | | 2023 |
| Calibration of West-WRF Ensemble Quantitative Precipitation Forecasts Using Deep Learning and Limited Training Sample Size M Ghazvinian, L Delle Monache, W Hu, A Sengupta, R Weihs, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
| An enhanced meteorological ensemble postprocessing scheme for improving the prediction of extreme rainfall events Y Zhang, M Ghazvinian, DJ Seo IAHS2022, 2022 | | 2022 |
Yu ZhangAssociate Professor, UT ArlingtonBestätigte E-Mail-Adresse bei alumni.princeton.edu
