Publications

8 publications

Mosaffa, H., Sadeghi, M., Hayatbini, N., Afzali Gorooh, V., Akbari Asanjan, A., Nguyen, P., & Sorooshian, S. (2020). Spatiotemporal variations of precipitation over Iran using the high-resolution and nearly four decades satellite-based PERSIANN-CDR Dataset. Remote Sensing, 12(10), 1584. doi: 10.3390/rs12101584
Sorooshian, S., Gorooh, V., Hayatbini, N., Ombadi, M., Sadeghi, M., Nguyen, P., & Hsu, K. (2020). Predictability of Hydrometeorological Extremes and Climate Impacts on Water Resources in Semiarid Zones: Expectations and Reality. Spring Bridge Issue on Engineering and Climate Change, National Academy of Engineering, 50(1).
Nguyen, P., Ashouri, H., Ombadi, M., Hayatbini, N., Hsu, K., & Sorooshian, S. (2020). PERSIANN-CDR for Hydrology and Hydro-climatic Applications. Satellite Precipitation Measurement: Volume 2 (pp. 993-1012). Cham: Springer International Publishing. doi: 10.1007/978-3-030-35798-6_26

Hayatbini, N., Kong, B., Hsu, K., Nguyen, P., Sorooshian, S., Stephens, G., ... Ganguly, S. (2019). Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries—PERSIANN-cGAN. Remote Sensing, 11(19), 2193. doi: 10.3390/rs11192193
Hayatbini, N., Hsu, K., Sorooshian, S., Zhang, Y., & Zhang, F. (2019). Effective cloud detection and segmentation using a gradient-based algorithm for satellite imagery: Application to improve PERSIANN-CCS. Journal of Hydrometeorology, 20(5), 901-913. doi: 10.1175/jhm-d-18-0197.1
Nguyen, P., Shearer, E. J., Tran, H., Ombadi, M., Hayatbini, N., Palacios, T., ... Sorooshian, S. (2019). The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data. Scientific Data, 6(1), 180296. doi: 10.1038/sdata.2018.296
Asanjan, A., Faridzad, M., Hayatbini, N., Gorooh, V., Sadeghi, M., Shearer, E., ... Taghian, M. (2019). An assessment of the unprecedented extreme precipitation events; over Iran: From satellite perspective. : Center for Hydrometorology and Remote Sensing (CHRS), University of California, Irvine.