Soroosh Sorooshian

发表

A Deep Learning Framework for Precipitation Estimation from GOES-16 multispectral satellite imagery - Application of the conditional Generative Adversarial Networks (cGANs)

Negin Hayatbini, Bailey Kong, K. L. Hsu, 2019 .

Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information

Soroosh Sorooshian, Mojtaba Sadeghi, Phu Nguyen, 2020, Environ. Model. Softw..

Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset

Negin Hayatbini, Soroosh Sorooshian, Mojtaba Sadeghi, 2020, Remote. Sens..

GEONEX: Application of Deep Neural Networks and CloudSat Data in Cloud Type Classification of GOES-16 Multispectral Images for Improving PERSIANN-CCS

Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, 2018 .

Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps

Kamalika Das, Soroosh Sorooshian, Ata Akbari Asanjan, 2020, KDD.

Reply to comment by K. Beven and P. Young on “Bayesian recursive parameter estimation for hydrologic models”

Soroosh Sorooshian, Hoshin V. Gupta, Michael W. Trosset, 2003 .

A self organizing features map technique for cloud classification

Soroosh Sorooshian, Kuolin Hsu, Nasrin Nasrollahi, 2013 .

The PERSIANN family of global satellite precipitation data: a review and evaluation of products

Soroosh Sorooshian, Phu Nguyen, Amir AghaKouchak, 2018, Hydrology and Earth System Sciences.

Achieving a Sustainable California Water Future through Innovations in Science and Technology

Soroosh Sorooshian, Bryan Hannegan, Robert Wilkinson, 2014 .

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN

Charless C. Fowlkes, Charless Fowlkes, Negin Hayatbini, 2019, Remote. Sens..

The Evolution of an Object-oriented Big Data Tool for Analysis of Climate Extremes

Soroosh Sorooshian, Eric J. Shearer, Phu Nguyen, 2019 .

A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing

Soroosh Sorooshian, Tiantian Yang, Amir AghaKouchak, 2020, Water.

Development and validation of a new maximum likelihood criterion suitable for data collected at unequal time intervals

Soroosh Sorooshian, Qingyun Duan, R. P. Ibbitt, 1987 .

Evaluating several satellite precipitation estimates and global ground-based dataset on Sicily (Italy)

Soroosh Sorooshian, Leonardo V. Noto, Francesco Lo Conti, 2012, Remote Sensing.

A Quick Summary of IMERG Versions and Features

Soroosh Sorooshian, David T. Bolvin, Chris Kidd, 2018 .

Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran

Soroosh Sorooshian, Ata Akbari Asanjan, Matin Rahnamay Naeini, 2020, Remote. Sens..

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..

The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data

Frank Wuerthwein, Ilkay Altintas, Larry Smarr, 2019, 2019 15th International Conference on eScience (eScience).

Short‐Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks

Soroosh Sorooshian, Kuolin Hsu, Ata Akbari Asanjan, 2018, Journal of Geophysical Research: Atmospheres.

Self-organizing nonliner output map (SONO): An artificial neural network suitable for cloud-patch based rainfall estimation

Soroosh Sorooshian, KL Hsu, Y Hong, 2005 .

Three decades of the Shuffled Complex Evolution (SCE-UA) optimization algorithm: Review and applications

Qingyun Duan, Soroosh Sorooshian, Hoshin Vijai Gupta, 2019 .

Classifying multimodal coral reef images using domain adaptation

Kamalika Das, Soroosh Sorooshian, M. Segal-Rosenhaimer, 2018 .

A Bayesian power transformation method for treatment of uncertainties in calibration of hydrologic models

Soroosh Sorooshian, 1979 .

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS

Sangram Ganguly, Ramakrishna R. Nemani, Soroosh Sorooshian, 2020, Remote. Sens..