Opportunity for Honours or Masters Student: Flood Forecasting

Project Summary:

Floods accounted for 45% of all the natural hazards that impacted the globe between 2010 to 2022, according to the EM-DAT database1, accounting for at least 600,000 deaths. For organisations such as the Red Cross and Red Crescent Movement, responding to floods takes up a great deal of time and resources every year, making it a top priority to develop data-driven protocols to trigger anticipatory funding mechanisms.

There are several different types of floods, such as river overflow-based flooding and so-called flash floods, which depend on direct rainfall. In international disaster impact databases, such as EM-DAT, what is often not discussed is the type of flooding, despite the fact that different types of floods will disproportionately affect different countries and regions of the world.

Furthermore, in terms of causality, floods can trigger, be triggered by and occur alongside many different hazards and processes. For example, recent research on US cyclones estimates that rainfall-based flooding was the cause of death for nearly 60% of US cyclones since 20102.

This collaboration between DARE and International Federation of Red Cross and Red Crescent Societies (IFRC) aims to develop a data-driven methodology to identify the different types of flooding associated to historical disasters. Additionally, this collaboration aims to identify and associate different causal interactions of historical floods with the different hazards and processes involved.

The Opportunity:

We are seeking an interested Honours or Masters student to work on this project in collaboration with IFRC in 2024, as part of a capstone (or similar) unit. The ideal student would have a strong background in mathematics and computer modelling, as well as a good understanding of hydrological science.

Note that this opportunity does not have funding attached.

Please contact DARE for more information about this opportunity.


  1. EM-DAT: The OFDA/CRED International Disaster Database, Université catholique de Louvain, Brussels, Bel. Data version: v11.08, 2010. Data accessed on 3rd November 2023. http://www.emdat.be/
  2. Rappaport, E. N., 2014: Fatalities in the United States from Atlantic Tropical Cyclones: New Data and Interpretation. Bull. Amer. Meteor. Soc., 95, 341–346, https://doi.org/10.1175/BAMS-D-12-00074.1