Title:	Integrated Data-Driven Analysis of Global Terrestrial Water System Dynamics
DNr:	NAISS 2025/22-1544
Project Type:	NAISS Small Compute
Principal Investigator:	Ran Mo <ran.mo@natgeo.su.se>
Affiliation:	Stockholms universitet
Duration:	2025-11-10 – 2026-12-01
Classification:	10507
Keywords:

Abstract

The accelerating global hydrological changes demand innovative approaches to understand coupled surface water-groundwater systems. Building on my doctoral research in inter-basin water management under forecast uncertainties, I propose to expand this expertise into a global-scale analysis framework for terrestrial water system variations. My vision integrates machine learning (ML), and explainable AI (XAI) to disentangle climate-human-water interactions across spatial-temporal scales.