Event date:
Sep 8 2021 6:00 pm

Machine Learning in Hydrology – Best of Water Systems Research Seminar Series

Speaker(s)
Dr. Grey Nearing
Venue
Zoom/Online
Abstract
Machine Learning (ML) applications in the hydrological sciences have accelerated rapidly in the past 3 years. I will give a brief overview of some of these applications that point toward what I see as a larger shift in focus within the community. This talk will cover technical details on applications of streamflow forecasting in particular, as well as results from other aspects of terrestrial modeling, including surface energy partitioning and carbon flux modeling (net ecosystem exchange). I will discuss briefly the state of physics-informed ML in the discipline and hypothesize what types of hybrid (physics + ML) applications we might see in the near future.

Dr. Grey Nearing of UC Riverside and Google Research will deliver a talk on "Machine Learning in Hydrology" in the next episode of "Best of Water Systems Research" seminar series. The session will take place at 6:00-7:00 pm PKT on Wednesday, September 08, 2021. This series is being held by the Centre for Water Informatics & Technology at SBASSE LUMS.

For colleagues who have not yet registered for the seminar series, the registration link along with other details can be found at: https://wit.lums.edu.pk/BWSR2021.


About the speaker: Dr. Grey Nearing is an Assistant Professor of Environmental Data Science at the University of California Davis, and a Visiting Researcher at Google Research. He was previously a member of hydrology modeling teams at NASA and the US National Center for Atmospheric Research (NCAR). Dr. Nearing's research is focused primarily on machine learning in hydrology and land surface modeling. 


About the seminar series: The “Best of Water Systems Research” is a webinar series initiated by The Center for Water Informatics & Technology at LUMS. While our companion webcast series “Aab Beeti” is geared towards generating public awareness and meeting leading practitioners and opinion makers in Pakistan’s water sector, this new series (BWSR) is primarily meant for discussing serious scholarship on water resources. The series celebrates distinguished works in water systems research and is aimed towards researchers, practitioners, and technical experts in water-related areas. The list of speakers majorly consists of individuals who regularly deploy quantitative data-driven methods & systems thinking and have earned recognition via peer-reviewed research in top journals. Also, many of the speakers may or may not have a direct interest in the Indus or South Asia’s other basins. 


The talks are (mostly) delivered bi-weekly on Wednesday evenings. A tentative schedule for the webinars can be found at https://wit.lums.edu.pk/BWSR2021 which also includes recordings of past sessions and information on future speakers. A link for attending will be sent via email to registered individuals. Colleagues who register once can attend all future talks without the need to register again.