Primary Convener:
Vinnarasi Rajendran, Indian Institute of Technology Roorkee

Convener:
C. T. Dhanya, Indian Institute of Technology Delhi
Sushree Swagatika Swain, University of California San Diego
Goutam Konapala, Pacific Northwest National Laboratory
Shushobhit Chaudhary, Indian Institute of Technology Dhanbad
Daniel Fiifi Tawia Hagan, Ghent University
Somnath Mondal, Northeastern University
Usman Mohseni, Indian Institute of Technology Roorkee

Early Career Convener:
Sudhanshu Kumar, Auburn University

Chair:
Vinnarasi Rajendran, Indian Institute of Technology Delhi
Somnath Mondal, Northeastern University

This session explores compound, concurrent, and cascading climate hazards—like floods, droughts, heatwaves, and wildfires—arising from interacting physical processes across scales. Climate change is intensifying individual hazards and altering their timing, frequency, and interdependencies, leading to complex, multi-hazard events that amplify risks and strain infrastructure, emergency systems, and resource security. Non-stationarity in natural and human systems further complicates prediction and response, demanding integrated, interdisciplinary approaches. We invite contributions that: (1) investigate drivers and feedbacks of multi-hazard interactions; (2) apply advanced methods such as causal inference, machine learning, and process-based modeling; (3) integrate Earth observations to analyze connected events; (4) develop early warning systems for joint hazard-impact prediction; (5) assess impacts on critical systems and recovery strategies; and (6) explore changing carbon-water-energy cycle feedbacks. This session aims to foster collaboration among climate scientists, hydrologists, engineers, data scientists, and decision-makers to advance tools and solutions for managing interconnected risks in a changing climate.

Index Terms
1833 Hydroclimatology
1869 Stochastic hydrology
4306 Multihazards
4315 Monitoring, forecasting, prediction

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
National Climate Assessment
Climate Change and Global Policy
Machine Learning and AI
Global Impacts‚ Solutions‚ & Policies

Cross-Listed:
NH - Natural Hazards
IN - Informatics
A - Atmospheric Sciences
GC - Global Environmental Change

Neighborhoods:
3. Earth Covering