N. Hayatbini

发表

ANALYSIS OF TEMPORAL AND PERIODIC CHANGES OF GROUNDWATER DEPTH AND NITRATE CONCENTRATION USING TIME SERIES MODELING (CASE STUDY: KABUDARAHANG PLAIN)

M. Ehteshami, H. Ghadimi, M. Khorasani, 2017 .

PERSIANN-CDR for Hydrology and Hydro-climatic Applications

S. Sorooshian, K. Hsu, P. Nguyen, 2020 .

Application of remote sensing precipitation data and the CONNECT algorithm to investigate spatiotemporal variations of heavy precipitation: Case study of major floods across Iran (Spring 2019)

S. Sorooshian, M. Sadeghi, P. Nguyen, 2021 .

The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data

Kuolin Hsu, Soroosh Sorooshian, Negin Hayatbini, 2019, Scientific Data.

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..

Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS pdf

Soroosh Sorooshian, Negin Hayatbini, Fuqing Zhang, 2018, Journal of Hydrometeorology.

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..

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..

Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning

S. Xie, L. D. Monache, S. Alessandrini, 2021, Monthly Weather Review.

Improving Precipitation Forecasts with Convolutional Neural Networks

F. Cannon, L. Delle Monache, N. Hayatbini, 2021, Weather and forecasting.