Full-Network River Flow Modelling in the Era of Big Data

Friday, 4 September 2026, 12pm to 1pm

Human activities, dominated by dam construction, levees, and land cover changes, have significantly altered the terrestrial water cycle's spatiotemporal structures. While high-resolution river models improve our detailed mapping capabilities, accurately characterizing human-induced changes on streamflow remains a key bottleneck in predicting water cycle variations. Dr Peirong Lin, Peking University, will describe progress on large-scale, high-resolution hydrological modelling, observation-based model diagnostics, and data fusion. The webinar will also discuss advancements brought by river satellite remote sensing. These efforts pave the way for new model parameterization schemes and for studying precise spatiotemporal runoff patterns under human impacts.

Speaker(s): Dr Yinxue Liu (School of Geography and the Environment), Dr Peirong Lin (Peking University)

Series: Oxford Water Network Michaelmas Term

Department: School of Geography and Environment (Department)

Organiser: Nancy Gladstone

Organiser email: owncoordinator@water.ox.ac.uk

Host: Dr Yinxue Liu

Register here: https://events.teams.microsoft.com/event/4bb0df8b-dc8f-49d1-8d39-54b57ea551fc@cc95de1b-97f5-4f93-b4ba-fe68b852cf91