Early Warning System

Early warning system is an adaptive measure for climate change, using integrated communication systems to help communities prepare for hazardous climate-related events. (United Nations)

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Climate change, dam collapses and water-borne disease: devastation in Libya caused by Storm Daniel

On September 10th of 2023, Storm Daniel made landfall in northeastern Libya, bringing torrential levels of rain and strong winds (Figure 1). This onslaught of rain caused two big dams in the region to break – the Abu Mansour dam and the Derna dam, 75 metres and 45 metres tall respectively. It is believed that the Abu Mansour dam broke first, after its reservoir was filled beyond capacity. The dam collapsed and sent a rush of water towards the Derna dam further downstream (Figure 2).

Interview with Harriette Okal, Associate Scientist, Stockholm Environment Institute

How do you professionally relate to water and/or space technologies?

As a hydrologist, I’ve always been fascinated by the potential of space technologies in transforming water resource management. My work integrates satellite-based Earth Observation (EO) data with hydrological modelling, particularly for drought and flood monitoring, and water availability assessments in regions with scarce ground data. EO technologies allow me to capture real-time, high-resolution data, critical for climate resilience, especially in Sub-Saharan Africa.

Interview with Felix Kasiti, PhD Researcher, University of Stirling

I am currently a PhD candidate at the University of Stirling in Scotland, funded by the Natural Environmental Research Council through the IAPETUS DTP. My research focuses on using SAR Polarimetry to map and monitor floods in Scotland and Guyana. Additionally, I use ground radar to understand signal interactions under simulated flooding conditions, aiming to improve flood detection. My goal is to enhance the management and protection of floodplains and wetlands through advanced radar satellite technology and field-tested methodologies. Before my PhD, I worked as an assistant hydrologist at the SERVIR Eastern and Southern Africa project at the Regional Centre for Mapping of Resources for Development in Nairobi, Kenya, from 2019 to 2022. In this position, I led the development of an operational hydrological model that improved access to hydrological data for ungauged rivers in East Africa. I was also the lead hydrologist in the implementation of a flood early warning system in Malawi, integrating ground measurements and satellite-derived water level data to issue flood forecasts.

Interview with Felix Kasiti, PhD Researcher, University of Stirling

I am currently a PhD candidate at the University of Stirling in Scotland, funded by the Natural Environmental Research Council through the IAPETUS DTP. My research focuses on using SAR Polarimetry to map and monitor floods in Scotland and Guyana. Additionally, I use ground radar to understand signal interactions under simulated flooding conditions, aiming to improve flood detection. My goal is to enhance the management and protection of floodplains and wetlands through advanced radar satellite technology and field-tested methodologies. Before my PhD, I worked as an assistant hydrologist at the SERVIR Eastern and Southern Africa project at the Regional Centre for Mapping of Resources for Development in Nairobi, Kenya, from 2019 to 2022. In this position, I led the development of an operational hydrological model that improved access to hydrological data for ungauged rivers in East Africa. I was also the lead hydrologist in the implementation of a flood early warning system in Malawi, integrating ground measurements and satellite-derived water level data to issue flood forecasts.

Interview with Harriette Okal, Associate Scientist, Stockholm Environment Institute

How do you professionally relate to water and/or space technologies?

As a hydrologist, I’ve always been fascinated by the potential of space technologies in transforming water resource management. My work integrates satellite-based Earth Observation (EO) data with hydrological modelling, particularly for drought and flood monitoring, and water availability assessments in regions with scarce ground data. EO technologies allow me to capture real-time, high-resolution data, critical for climate resilience, especially in Sub-Saharan Africa.

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