Soroosh Sorooshian
Affiliations: | 2003 | University of Arizona, Tucson, AZ | |
2003- | University of California, Irvine, Irvine, CA |
Area:
Hydrology, Atmospheric Science Physics, Remote Sensing, GeophysicsWebsite:
https://engineering.uci.edu/users/soroosh-sorooshianGoogle:
"Soroosh Sorooshian"Mean distance: 21.91
Cross-listing: Meteorology Tree
Parents
Sign in to add mentorJohn A. Dracup | grad student | 1978 | UCLA | |
(Considerations of stochastic properties in parameter estimation of hydrologic rainfall-runoff models.) |
Children
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Publications
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Shearer EJ, Gorooh VA, Nguyen P, et al. (2022) Author Correction: Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements. Scientific Reports. 12: 16627 |
Shearer EJ, Afzali Gorooh V, Nguyen P, et al. (2022) Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements. Scientific Reports. 12: 13569 |
Sadeghi M, Nguyen P, Naeini MR, et al. (2021) PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies. Scientific Data. 8: 157 |
Nguyen P, Ombadi M, Gorooh VA, et al. (2020) PERSIANN Dynamic Infrared-Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset. Journal of Hydrometeorology. 21: 2893-2906 |
Naeini MR, Yang T, Tavakoly A, et al. (2020) A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing Water. 12: 2373 |
Katiraie-Boroujerdy P, Naeini MR, Asanjan AA, et al. (2020) Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran Remote Sensing. 12: 2102 |
Mosaffa H, Sadeghi M, Hayatbini N, et al. (2020) Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset Remote Sensing. 12: 1584 |
Afzali Gorooh V, Kalia S, Nguyen P, et al. (2020) Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS Remote Sensing. 12: 316 |
Nguyen P, Shearer EJ, Ombadi M, et al. (2020) PERSIANN Dynamic Infrared–Rain Rate Model (PDIR) for High-Resolution, Real-Time Satellite Precipitation Estimation Bulletin of the American Meteorological Society. 101 |
Mosaffa H, Shirvani A, Khalili D, et al. (2020) Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran International Journal of Remote Sensing. 41: 6484-6502 |