The seminar will provide an overview of hydrologic Rainfall-Runoff modelling and highlight the progress, refinement, and challenges in applying Artificial Neural Networks (ANN) for global-scale precipitation estimation. Emphasis will be placed on high temporal and spatial resolution data essential for hydrometeorological applications and climate studies.
Participants will also be introduced to the “Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN)” products, developed and made operational by the Center for Hydrometeorology and Remote Sensing (CHRS) at the University of California, Irvine (UC Irvine).
📅 Date & Time: 10:00 – 11:00, November 4, 2025
📍 Venue: D305, VinUniversity
👤 Speakers:
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Professor Soroosh Sorooshian
Distinguished Professor, Departments of Civil & Environmental Engineering and Earth System Science, UC Irvine
Founding Director, Center for Hydrometeorology & Remote Sensing (CHRS) -
Professor Phu Nguyen
Associate Adjunct Professor, Department of Civil Engineering, UC Irvine
Format: In-person
Join us to explore how advanced machine learning techniques are transforming global precipitation estimation and contributing to innovative climate and hydrology research.