Documents and publications

Explore a comprehensive collection of publications, reports, and documents that focus on disaster risk and resilience.

These resources offer insights, best practices, and research aimed at mitigating the impact of disasters. Whether you're seeking the latest research, policy recommendations, or case studies, this library supports knowledge sharing and informed decision-making in building safer, more resilient communities.

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Documents and publications
The report uses advanced modelling and other cutting-edge analytics to take a whole-of-the-economy perspective so that the Bio-Circular-Green model (BCG+ in this report) is assessed within the context of broader economic development.
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Documents and publications
The findings of the the World Bank's Country Climate and Development Reports confirm that, even with optimistic adaptation outcomes, large residual risks make GHG emission reductions urgent. This report gives additional conclusions and recommendations.
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Documents and publications
This report provides (re)insurance leaders with strategic insights to navigate the evolving complexities of catastrophe modelling and exposure management in today's dynamic market landscape.
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Documents and publications
The report, the 2024 Global Status of Multi-Hazard Early Warning Systems, analyses the latest data one year into the Early Warnings for All Initiative which aims to cover everyone everywhere by 2027.
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Documents and publications
The Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) commissioned this pre-feasibility study in order to analyse the potential of new insurance solutions to assist MPAs bouncing back quickly in the aftermath of typhoon events.
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Documents and publications
This book delves into the dual reality of climate change which presents both a critical threat and a unique opportunity for progress in Latin America and the Caribbean, showing that climate action is fundamentally development action.
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Documents and publications
This paper explores the use of machine learning (ML) techniques to map flood hazards based on readily available geo-environmental variables.
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Documents and publications
This paper presents the development of an artificial neural network "metamodel" that can predict the burn probability outputs of computationally expensive process-based fire simulation models.

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