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Member Since 1976
Soroosh Sorooshian
Distinguished Professor, University of California Irvine
AGU Research
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Winter 2022-2023 Precipitation and Temperature Patterns in Western U.S. and Southern California
HYDROLOGIC IMPACTS OF ATMOSPHERIC RIVERS: UNDERSTANDING AND MANAGING A VARIABLE HYDROCLIMATE POSTER
hydrology | 13 december 2023
Nazak Rouzegari, Claudia Jimenez Arellano, Vu Dao,...
Significant variability in precipitation is considered one of the possible consequences of global warming since precipitation plays a significant role...
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Bias Correction of Satellite Precipitation Estimation Using Deep Neural Networks and Topographic Information over the Western US
ADVANCES IN MACHINE LEARNING FOR EARTH SCIENCE: OBSERVATION, MODELING, AND APPLICATIONS I ORAL
hydrology | 12 december 2023
Vu Dao, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshia...
Satellite-based precipitation products (SPPs) have been developed and have gained popularity among researchers. Several gridded satellite-based precip...
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On the search for a suitable dataset to use as the target in precipitation estimation machine learning models.
ADVANCES IN MACHINE LEARNING FOR EARTH SCIENCE: OBSERVATION, MODELING, AND APPLICATIONS III ELIGHTNING
hydrology | 12 december 2023
Claudia Jimenez Arellano, Phu Nguyen, Soroosh Soro...
The accurate estimation of precipitation is extremely important as it is one of the main components of the water cycle. Machine learning has become in...
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Deep Reinforcement Learning for Sustainable Reservoir Operation
WATER AND SOCIETY: WATER RESOURCES MANAGEMENT AND POLICY IN A CHANGING WORLD III ELIGHTNING
hydrology | 12 december 2023
Jinyang Li, Bita Analui, Kuo-lin Hsu, Soroosh Soro...
Reservoirs and dams serve as critical infrastructures for various purposes, including hydropower generation, flood and drought control, water supply, ...
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Spring-time Heavy Precipitation and Flooding in Iran linked to Atmospheric River Conditions: An 18-year Climatology and Case Study of 2019
ATMOSPHERIC RIVERS: PROCESSES, IMPACTS, AND UNCERTAINTIES III POSTER
atmospheric sciences | 16 december 2022
Eric J. Shearer, Mojtaba Sadeghi, Hamidreza Mosaff...
In recent years, the number of floods following unprecedented rainfall events have increased in Iran during early spring (March 21st to April 20th, re...
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Attention-based Model for Rainfall-runoff Modeling Using Large-domain Datasets
ADVANCING HYDROLOGICAL MODELING AND PREDICTION USING LARGE-DOMAIN METEOROLOGICAL AND HYDROLOGICAL DATA SETS AND MODELS II ORAL
hydrology | 15 december 2022
Jinyang Li, Kuo-lin Hsu, Ai-Ling Jiang, Soroosh So...
Accurate and reliable streamflow prediction is crucial for water resources and flood control, and various models including physically based models and...
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Towards Optimal Precipitation Retrieval: Complementing Satellite Products
PRECIPITATION THROUGH THE EYES OF MACHINE LEARNING AND ADVANCED STATISTICS: REMOTE SENSING, UNCERTAINTIES, AND VARIABILITY III POSTER
hydrology | 14 december 2022
Vesta Afzali Gorooh, Veljko Petkovic, Phu Nguyen, ...
Reliable quantitative precipitation estimation with a rich spatiotemporal resolution is vital over land and coastal regions. This is largely due to th...
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Precipitation Estimation over the Western US Using a U-Net Convolutional Neural Network Model
ADVANCES IN MACHINE LEARNING FOR EARTH SCIENCE: OBSERVATION, MODELING, AND APPLICATIONS V ONLINE POSTER DISCUSSION
hydrology | 13 december 2022
Claudia Jimenez Arellano, Vesta Afzali Gorooh, Phu...
Satellite precipitation estimation has several advantages when compared to gauge and radar measurements. The main one is that satellite-derived estima...
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