| PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Convolutional Neural Networks M Sadeghi, AA Asanjan, M Faridzad, P Nguyen, K Hsu, S Sorooshian, ... Journal of Hydrometeorology 20 (12), 2273-2289, 2019 | 122 | 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 |
| Rainfall frequency analysis for ungauged regions using remotely sensed precipitation information M Faridzad, T Yang, K Hsu, S Sorooshian, C Xiao Journal of hydrology 563, 123-142, 2018 | 57 | 2018 |
| Evaluation of PERSIANN-CDR Constructed Using GPCP V2. 2 and V2. 3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale M Sadeghi, A Akbari Asanjan, M Faridzad, V Afzali Gorooh, P Nguyen, ... Remote Sensing 11 (23), 2755, 2019 | 27 | 2019 |
| Non‐stationary bias correction of monthly CMIP5 temperature projections over China using a residual‐based bagging tree model Y Tao, T Yang, M Faridzad, L Jiang, X He, X Zhang International Journal of Climatology 38 (1), 467-482, 2018 | 23 | 2018 |
| 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 |
| Spatial Extreme Precipitation Modeling for The Pacific Northwest United States Using Satellite Information and Max-Stable Processes M Faridzad, T Yang, KL Hsu, S Sorooshian AGU Fall Meeting Abstracts 2019, H52A-08, 2019 | | 2019 |
| Extreme Precipitation Modeling Using Remotely-Sensed Information and Advanced Statistical Techniques M Faridzad University of California, Irvine, 2019 | | 2019 |
| An Application Framework for the Use of Satellite Precipitation Data for Rainfall Frequency Analysis in Ungauged Regions M Faridzad, T Yang, KL Hsu, S Sorooshian AGU Fall Meeting Abstracts 2018, H42H-03, 2018 | | 2018 |
| Bias-correction of PERSIANN-CDR Extreme Precipitation Estimates Over the United States M Faridzad, T Yang, KL Hsu, S Sorooshian AGU Fall Meeting Abstracts 2017, H31A-1470, 2017 | | 2017 |
| A New Artificial Neural Network Enhanced by the Shuffled Complex Evolution Optimization with Principal Component Analysis (SP-UCI) for Water Resources Management N Hayatbini, M Faridzad, T Yang, A Akbari Asanjan, X Gao, S Sorooshian AGU Fall Meeting Abstracts 2016, H51F-1544, 2016 | | 2016 |
soroosh sorooshianProfessor of Civil Engineering, UC IrvineVerified email at uci.edu
