M. Faridzad

PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Convolutional Neural Networks

Kuolin Hsu, Soroosh Sorooshian, Ata Akbari Asanjan, 2019, Journal of Hydrometeorology.

Non‐stationary bias correction of monthly CMIP5 temperature projections over China using a residual‐based bagging tree model

Tiantian Yang, M. Faridzad, Y. Tao, 2017 .

Investigating the Effect of Acidic Rain on Reactive Transport of Metal Contaminants in Groundwater

M. Faridzad, A. Khodadadi, G. Fardi, 2013 .

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

Soroosh Sorooshian, Mojtaba Sadeghi, Kuolin Hsu, 2019, Remote. Sens..

Rainfall frequency analysis for ungauged regions using remotely sensed precipitation information

Kuolin Hsu, Soroosh Sorooshian, Tiantian Yang, 2018, Journal of Hydrology.

An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis

Soroosh Sorooshian, Negin Hayatbini, Tiantian Yang, 2017, Inf. Sci..