Member Since 1976
Soroosh Sorooshian
Distinguished Professor, University of California Irvine
AGU Research
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Bias Correction of Satellite Precipitation Estimation Using Deep Neural Networks and Topographic Information Over the Western U.S.
JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES
24 february 2025
Vu Dao, Claudia Jimenez Arellano, Phu Nguyen, Faha...
Satellite‐based precipitation products (SPPs) have gained popularity among researchers due to their utility in hydrologic studies. Several gr...
PERSIANN-X: A Foundational Model for Basin-Based Weather and Streamflow Predictions
AI FOUNDATION MODELS FOR EARTH, SPACE, AND PLANETARY SCIENCES V ELIGHTNING
informatics | 13 december 2024
Jinyang Li, Kuo-lin Hsu, Soroosh Sorooshian
Deep learning (DL) models have been increasingly applied to Earth science research, including hydrological and atmospheric simulations and forecasting...
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Reflections on my over four decades of research in hydrometeorology and rainfall-runoff modeling and studying the relative role of its three pillars - model structure, data and parameter estimation requirements
WALTER B. LANGBEIN LECTURE
hydrology | 10 december 2024
Soroosh Sorooshian
I started my PhD research in the early 1970s at UCLA and under the guidance of the late John Dracup on the topic of rainfall-runoff modeling. I receiv...
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A Global Satellite Precipitation Model Utilizing Deep Learning with Infrared Data
ADVANCES IN MACHINE LEARNING FOR EARTH SCIENCE: OBSERVATION, MODELING, AND APPLICATIONS I ORAL
hydrology | 09 december 2024
Vu Dao, Claudia Jimenez Arellano, Phu Nguyen, Kuo-...
Access to high-quality, high-resolution, near-real-time precipitation data is essential for hydrological and meteorological research and disaster miti...
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Performance Evaluation of PERSIANN-CCS-CDR; a near-global, High resolution precipitation CDR
ADVANCEMENTS IN REMOTE SENSING, HYDROLOGIC MODELING, DATA ASSIMILATION, AND MACHINE LEARNING FOR TERRESTRIAL WATER CYCLE I ORAL
hydrology | 09 december 2024
Mohammad bolboli zadeh, Kuo-lin Hsu, Phu Nguyen, S...
With climate change posing major challenges, the need for a high-resolution precipitation climate data record is now apparent. But creating such a dat...
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A comprehensive review of the past half-century Geostationary Satellite Thermal Observations for Global Precipitation Estimation: Achievements, Challenges, and Future Prospects
SPACE-BASED PRECIPITATION OBSERVATIONS: INNOVATIONS FOR SCIENCE AND APPLICATIONS II ORAL
hydrology | 09 december 2024
Siyu Zhu, Guoqiang Tang, Soroosh Sorooshian, Kuo-l...
Over the past half-century, the development and improvement of meteorological geostationary (GEO) satellites have been crucial in observing cloud dyna...
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Deep Fusion of Cloud Motion Vectors and Satellite Passive Microwave Precipitation for Generating Accurate Precipitation Products
ADVANCES IN MACHINE LEARNING FOR EARTH SCIENCE: OBSERVATION, MODELING, AND APPLICATIONS III POSTER
hydrology | 09 december 2024
Nazak Rouzegari, Phu Nguyen, Kuo-lin Hsu, Manvendr...
Accurate high-resolution precipitation estimates are crucial for understanding and managing the increasing severity of climate-related disasters. Exis...
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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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