PERSIANN-CCS-CDR, a 3-hourly 0.04 global precipitation climate data record for heavy precipitation studies M Sadeghi, P Nguyen, MR Naeini, K Hsu, D Braithwaite, S Sorooshian Scientific Data 8 (1), 157, 2021 | 90 | 2021 |
Bias correction of satellite-based precipitation estimations using quantile mapping approach in different climate regions of Iran PS Katiraie-Boroujerdy, M Rahnamay Naeini, A Akbari Asanjan, ... Remote Sensing 12 (13), 2102, 2020 | 47 | 2020 |
Three decades of the Shuffled Complex Evolution (SCE-UA) optimization algorithm: Review and applications MR Naeini, B Analui, HV Gupta, Q Duan, S Sorooshian Scientia Iranica 26 (4), 2015-2031, 2019 | 47 | 2019 |
Shuffled complex-self adaptive hybrid evolution (SC-SAHEL) optimization framework MR Naeini, T Yang, M Sadegh, A AghaKouchak, K Hsu, S Sorooshian, ... Environmental Modelling & Software 104, 215-235, 2018 | 45 | 2018 |
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 | 24 | 2021 |
Projected impacts of climate change on major dams in the Upper Yangtze River Basin P Qin, H Xu, M Liu, L Liu, C Xiao, I Mallakpour, MR Naeini, K Hsu, ... Climatic Change 170 (1), 8, 2022 | 16 | 2022 |
Evaluation of GloFAS-Seasonal Forecasts for cascade reservoir impoundment operation in the upper Yangtze River K Chen, S Guo, J Wang, P Qin, S He, S Sun, MR Naeini Water 11 (12), 2539, 2019 | 11 | 2019 |
A model tree generator (MTG) framework for simulating hydrologic systems: Application to reservoir routing M Rahnamay Naeini, T Yang, A Tavakoly, B Analui, A AghaKouchak, ... water 12 (9), 2373, 2020 | 8 | 2020 |
PERSIANN-CCS-CDR, a 3-hourly 0.04 global precipitation climate data record for heavy precipitation studies. Sci Data 8: 1–11 M Sadeghi, P Nguyen, MR Naeini | 3 | 2021 |
PERSIANN-CCS-CDR: a global precipitation climate data record for hydro-climate studies KL Hsu, M Sadeghi, P Nguyen, M Rahnamay Naeini, D Braithwaite, ... AGU Fall Meeting Abstracts 2020, H020-01, 2020 | 2 | 2020 |
A Framework for Optimization and Simulation of Reservoir Systems Using Advanced Optimization and Data Mining Tools MR Naeini University of California, Irvine, 2019 | 2 | 2019 |
Developing a Generalized Model Tree (GMT) framework for simulating reservoir systems M Rahnamay Naeini, T Yang, AA Tavakoly, A AghaKouchak, KL Hsu, ... AGU Fall Meeting Abstracts 2018, H11U-1747, 2018 | 1 | 2018 |
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 |
PERSIANN-CCS-CDR: A 3-hourly 0.04° Global gridded Precipitation Climate Data Record (1983–present) for Extreme Precipitation Studies M Sadeghi, P Nguyen, MR Naeini, K Hsu, S Sorooshian 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
Hydrologic Evaluation of PERSIANN Precipitation Products through Streamflow Simulation Using WRF-Hydro AL Jiang, MR Naeini, B Analui, P Nguyen, K Hsu, S Sorooshian 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
The performance assessment of PERSIANN-CCS-CDR rainfall estimates for hydrometeorological applications MR Naeini, M Sadeghi, P Nguyen, K Hsu, S Sorooshian AGU Fall Meeting 2020, 2020 | | 2020 |
Advances in Remote Sensing of Precipitation: From Observation to Application I P Nguyen, MR Naeini, G Tang, S Gao AGU Fall Meeting 2020, 2020 | | 2020 |
The performance assessment of PERSIANN-CCS-CDR rainfall estimates for hydrometeorological applications M Rahnamay Naeini, M Sadeghi, P Nguyen, KL Hsu, S Sorooshian AGU Fall Meeting Abstracts 2020, H200-0030, 2020 | | 2020 |
Evaluating hydropower operational flexibility with exogenous uncertainties B Analui, M Rahnamay Naeini, KL Hsu, S Sorooshian AGU Fall Meeting Abstracts 2020, SY015-0007, 2020 | | 2020 |
Many-objective Shuffled Complex-Self Adaptive Hybrid EvoLution (MSC-SAHEL): A flexible optimization framework for water-energy systems MR Naeini, T Yang, B Analui, VA Gorooh, M Sadeghi, AA Tavakoly, ... AGU Fall Meeting 2019, 2019 | | 2019 |