| The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data P Nguyen, EJ Shearer, H Tran, M Ombadi, N Hayatbini, T Palacios, ... Scientific data 6 (1), 1-10, 2019 | 235 | 2019 |
| An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis T Yang, AA Asanjan, M Faridzad, N Hayatbini, X Gao, S Sorooshian Information Sciences 418, 302-316, 2017 | 95 | 2017 |
| Conditional generative adversarial networks (cGANs) for near real-time precipitation estimation from multispectral GOES-16 satellite imageries—PERSIANN-cGAN N Hayatbini, B Kong, K Hsu, P Nguyen, S Sorooshian, G Stephens, ... Remote Sensing 11 (19), 2193, 2019 | 58 | 2019 |
| Probabilistic predictions from deterministic atmospheric river forecasts with deep learning WE Chapman, L Delle Monache, S Alessandrini, AC Subramanian, ... Monthly Weather Review 150 (1), 215-234, 2022 | 37 | 2022 |
| The CHRS data portal, an easily accessible public repository for PERSIANN global satellite precipitation data, Sci. Data, 6, 1–10 P Nguyen, EJ Shearer, H Tran, M Ombadi, N Hayatbini, T Palacios, ... | 37 | 2019 |
| Spatiotemporal variations of precipitation over Iran using the high-resolution and nearly four decades satellite-based PERSIANN-CDR dataset H Mosaffa, M Sadeghi, N Hayatbini, V Afzali Gorooh, A Akbari Asanjan, ... Remote Sensing 12 (10), 1584, 2020 | 30 | 2020 |
| Application of remote sensing precipitation data and the CONNECT algorithm to investigate spatiotemporal variations of heavy precipitation: Case study of major floods across … M Sadeghi, EJ Shearer, H Mosaffa, VA Gorooh, MR Naeini, N Hayatbini, ... Journal of Hydrology 600, 126569, 2021 | 23 | 2021 |
| Effective cloud detection and segmentation using a gradient-based algorithm for satellite imagery: Application to improve PERSIANN-CCS N Hayatbini, K Hsu, S Sorooshian, Y Zhang, F Zhang Journal of Hydrometeorology 20 (5), 901-913, 2019 | 14 | 2019 |
| Coauthors, 2019: Conditional generative adversarial networks (cGANs) for near real-time precipitation estimation from multispectral GOES-16 satellite imageries—PERSIANN-cGAN … N Hayatbini | 7 | |
| Improving precipitation forecasts with convolutional neural networks A Badrinath, L Delle Monache, N Hayatbini, W Chapman, F Cannon, ... Weather and Forecasting 38 (2), 291-306, 2023 | 4 | 2023 |
| PERSIANN-CDR for Hydrology and Hydro-climatic Applications P Nguyen, H Ashouri, M Ombadi, N Hayatbini, KL Hsu, S Sorooshian Satellite Precipitation Measurement: Volume 2, 993-1012, 2020 | 4 | 2020 |
| An assessment of the unprecedented extreme precipitation events over Iran: from satellite perspective AA Asanjan, M Faridzad, N Hayatbini, VA Gorooh, M Sadeghi, EJ Shearer, ... Irvine (CA): University of California, 2019 | 4 | 2019 |
| A two-stage deep learning framework to improve short range rainfall prediction N Hayatbini, A Badrinath, W Chapman, L Delle Monache, F Cannon, ... 101st American Meteorological Society Annual Meeting, 2021 | 2 | 2021 |
| A Deep Learning Framework for Precipitation Estimation from GOES-16 multispectral satellite imagery-Application of the conditional Generative Adversarial Networks (cGANs) N Hayatbini, B Kong, KL Hsu, P Nguyen, S Sorooshian, GL Stephens AGU Fall Meeting Abstracts 2019, H31P-1978, 2019 | 2 | 2019 |
| The CHRS Data Portal for Distributing PERSIANN Family Global Satellite Precipitation Data P Nguyen, EJ Shearer, H Tran, M Ombadi, N Hayatbini, T Palacios, ... AGU Fall Meeting Abstracts 2018, H51S-1571, 2018 | 2 | 2018 |
| Application of Generative Adversarial Networks (GANs) for Precipitation Forecasting N Hayatbini, L Delle Monache, B Kong, F Cannon, W Chapman, ... AGU Fall Meeting Abstracts 2020, A043-0008, 2020 | 1 | 2020 |
| Spring-time Heavy Precipitation and Flooding in Iran linked to Atmospheric River Conditions: An 18-year Climatology and Case Study of 2019 EJ Shearer, M Sadeghi, H Mosaffa, V Afzali Gorooh, M Rahnamay Naeini, ... AGU Fall Meeting Abstracts 2022, A55M-1283, 2022 | | 2022 |
| Improving Precipitation Forecasts with Convolutional Neural Networks A Badrinath, L Delle Monache, N Hayatbini, WE Chapman, F Cannon, ... Authorea Preprints, 2022 | | 2022 |
| Applications of Artificial Intelligence for Improved Estimation and Prediction of Weather and Climate AC Subramanian, L Delle Monache, K Hsu, T Beucler, N Hayatbini, ... 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
| Machine Learning Predictions to Support Forecast Informed Reservoir Operations L Delle Monache, W Chapman, A Badrinath, N Hayatbini, F Cannon, ... AGU Fall Meeting Abstracts 2021, H42F-08, 2021 | | 2021 |
soroosh sorooshianProfessor of Civil Engineering, UC IrvineVerified email at uci.edu
